Descriptive statistics for the analyzed variables.
Chapter 1: "Permanent Maxillary and Mandibular Incisors"\n
Chapter 2: "The Permanent Maxillary and Mandibular Premolar Teeth"\n
Chapter 3: "Dental Anatomical Features and Caries: A Relationship to be Investigated"\n
Chapter 4: "Anatomy Applied to Block Anaesthesia"\n
Chapter 5: "Treatment Considerations for Missing Teeth"\n
Chapter 6: "Anatomical and Functional Restoration of the Compromised Occlusion: From Theory to Materials"\n
Chapter 7: "Evaluation of the Anatomy of the Lower First Premolar"\n
Chapter 8: "A Comparative Study of the Validity and Reproducibility of Mesiodistal Tooth Size and Dental Arch with the iTero Intraoral Scanner and the Traditional Method"\n
Chapter 9: "Identification of Lower Central Incisors"\n
The book is aimed toward dentists and can also be well used in education and research.',isbn:"978-1-78923-511-1",printIsbn:"978-1-78923-510-4",pdfIsbn:"978-1-83881-247-8",doi:"10.5772/65542",price:119,priceEur:129,priceUsd:155,slug:"dental-anatomy",numberOfPages:204,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"445cd419d97f339f2b6514c742e6b050",bookSignature:"Bağdagül Helvacioğlu Kivanç",publishedDate:"August 1st 2018",coverURL:"https://cdn.intechopen.com/books/images_new/5814.jpg",numberOfDownloads:13239,numberOfWosCitations:0,numberOfCrossrefCitations:4,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:8,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:12,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 4th 2016",dateEndSecondStepPublish:"October 25th 2016",dateEndThirdStepPublish:"July 16th 2017",dateEndFourthStepPublish:"August 16th 2017",dateEndFifthStepPublish:"October 16th 2017",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"178570",title:"Dr.",name:"Bağdagül",middleName:null,surname:"Helvacıoğlu Kıvanç",slug:"bagdagul-helvacioglu-kivanc",fullName:"Bağdagül Helvacıoğlu Kıvanç",profilePictureURL:"https://mts.intechopen.com/storage/users/178570/images/7646_n.jpg",biography:"Bağdagül Helvacıoğlu Kıvanç is a dentist, a teacher, a researcher and a scientist in the field of Endodontics. She was born in Zonguldak, Turkey, on February 14, 1974; she is married and has two children. She graduated in 1997 from the Ankara University, Faculty of Dentistry, Ankara, Turkey. She aquired her PhD in 2004 from the Gazi University, Faculty of Dentistry, Department of Endodontics, Ankara, Turkey, and she is still an associate professor at the same department. She has published numerous articles and a book chapter in the areas of Operative Dentistry, Esthetic Dentistry and Endodontics. She is a member of Turkish Endodontic Society and European Endodontic Society.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Gazi University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"174",title:"Dentistry",slug:"dentistry"}],chapters:[{id:"56461",title:"Permanent Maxillary and Mandibular Incisors",doi:"10.5772/intechopen.69542",slug:"permanent-maxillary-and-mandibular-incisors",totalDownloads:2541,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The permanent incisors are the front teeth that erupt between 6 and 8 years of age. They are eight in number, four upper and four lower, two centrals and two laterals. They have sharp biting surfaces designed for shearing and cutting of food materials into small chewable pieces. They are the teeth most visible to the others during eating, smiling and talking, and thus, they have high aesthetic value for the individuals. The unique characteristics, arch position, function, development and chronological age of each tooth will be highlighted. In addition, the different aspects with their geometric outlines, outlines and surface anatomy of these teeth will be described. A brief explanation about the pulp cavity, tooth socket and normal occlusion for each tooth will be included.",signatures:"Mohammed E. Grawish, Lamyaa M. Grawish and Hala M. Grawish",downloadPdfUrl:"/chapter/pdf-download/56461",previewPdfUrl:"/chapter/pdf-preview/56461",authors:[{id:"82989",title:"Prof.",name:"Mohammed",surname:"Grawish",slug:"mohammed-grawish",fullName:"Mohammed Grawish"}],corrections:null},{id:"62386",title:"The Permanent Maxillary and Mandibular Premolar Teeth",doi:"10.5772/intechopen.79464",slug:"the-permanent-maxillary-and-mandibular-premolar-teeth",totalDownloads:2717,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The permanent premolar teeth are placed between the anterior teeth and molars. Eight premolars are found in the permanent dentition, four per arch and two in each quadrant. The main function of premolars is to assist the canines in regard to tear and pierce the food and supplement the grinding of the molars during mastication. The other functions are to support the corners of the mouth reinforce esthetics during smiling and maintain the vertical dimension. Detailed morphology of the permanent premolar teeth is narrated in a pointwise and systematic manner in this chapter.",signatures:"Işıl Çekiç Nagaş, Ferhan Eğilmez and Bağdagül Helvacioğlu Kivanç",downloadPdfUrl:"/chapter/pdf-download/62386",previewPdfUrl:"/chapter/pdf-preview/62386",authors:[{id:"178570",title:"Dr.",name:"Bağdagül",surname:"Helvacıoğlu Kıvanç",slug:"bagdagul-helvacioglu-kivanc",fullName:"Bağdagül Helvacıoğlu Kıvanç"}],corrections:null},{id:"57546",title:"Dental Anatomical Features and Caries: A Relationship to be Investigated",doi:"10.5772/intechopen.71337",slug:"dental-anatomical-features-and-caries-a-relationship-to-be-investigated",totalDownloads:1665,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Dental caries is a multifactor disease affecting a significant number of people throughout the world. However, in recent decades the widespread availability of fluoride and other preventive measures have resulted in a decline in the prevalence of caries among children and young adults. Currently, it is accepted that most carious dental lesions are restricted to specific anatomical sites. The aim of this chapter is to review the influence of dental anatomy on dental caries development while taking into account recent findings in cariology. Occlusal fissures in the first permanent molar are generally the first sites in the permanent dentition to develop caries. An increased risk of caries is also found in proximal contacting surfaces between two adjacent teeth. Moreover, a partially erupted tooth, which does not participate in mastication, is also at risk for caries since it may provide a more favorable environment for bacterial accumulation than a fully erupted tooth. Bacterial biofilm on the tooth is frequently a high risk caries environment. Understanding anatomical dental features is of great importance for guiding oral health hygiene and preventive measures. Finally, the development of dental disorders plays an important role in dental caries risk.",signatures:"Marcel Alves Avelino de Paiva, Dayane Franco Barros Mangueira\nLeite, Isabela Albuquerque Passos Farias, Antônio de Pádua\nCavalcante Costa and Fábio Correia Sampaio",downloadPdfUrl:"/chapter/pdf-download/57546",previewPdfUrl:"/chapter/pdf-preview/57546",authors:[{id:"138852",title:"Prof.",name:"Fabio",surname:"Sampaio",slug:"fabio-sampaio",fullName:"Fabio Sampaio"},{id:"213662",title:"Prof.",name:"Isabela Albuquerque",surname:"Passos Farias",slug:"isabela-albuquerque-passos-farias",fullName:"Isabela Albuquerque Passos Farias"},{id:"213663",title:"Prof.",name:"Dayane Franco",surname:"Barros Mangueira Leite",slug:"dayane-franco-barros-mangueira-leite",fullName:"Dayane Franco Barros Mangueira Leite"},{id:"213664",title:"BSc.",name:"Marcel Alves",surname:"Avelino De Paiva",slug:"marcel-alves-avelino-de-paiva",fullName:"Marcel Alves Avelino De Paiva"},{id:"213666",title:"Prof.",name:"Antonio De Pádua",surname:"Cavalcante Da Costa",slug:"antonio-de-padua-cavalcante-da-costa",fullName:"Antonio De Pádua Cavalcante Da Costa"}],corrections:null},{id:"56119",title:"Anatomy Applied to Block Anesthesia for Maxillofacial Surgery",doi:"10.5772/intechopen.69545",slug:"anatomy-applied-to-block-anesthesia-for-maxillofacial-surgery",totalDownloads:1506,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Anatomy is a basic knowledge that every clinician must have; however, its full management is not always achieved and gaps remain in daily practice. The aim of this chapter is to emphasize the most relevant aspects of head and neck anatomy, specifically related to osteology and neurology for the application of regional anesthesia techniques. This chapter presents a clear and concise text, useful for both undergraduate and graduate students and for the dentist and maxillofacial surgeon. The most relevant aspects of the bone and sensory anatomy relevant for the realization of regional anesthetic techniques in the oral and maxillofacial area are reviewed, including complementary figures and tables. The anatomy related to the techniques directed to the three major branches of the trigeminal nerve (ophthalmic nerve, maxillary nerve, and to the branches of the mandibular nerve) will be approached separately.",signatures:"Alex Vargas, Paula Astorga and Tomas Rioseco",downloadPdfUrl:"/chapter/pdf-download/56119",previewPdfUrl:"/chapter/pdf-preview/56119",authors:[{id:"199400",title:"Dr.",name:"Alex",surname:"Vargas",slug:"alex-vargas",fullName:"Alex Vargas"},{id:"202023",title:"Dr.",name:"Paula",surname:"Astorga",slug:"paula-astorga",fullName:"Paula Astorga"},{id:"205059",title:"Dr.",name:"Tomas",surname:"Rioseco",slug:"tomas-rioseco",fullName:"Tomas Rioseco"}],corrections:null},{id:"55902",title:"Treatment Considerations for Missing Teeth",doi:"10.5772/intechopen.69543",slug:"treatment-considerations-for-missing-teeth",totalDownloads:961,totalCrossrefCites:2,totalDimensionsCites:3,hasAltmetrics:0,abstract:"Specific terms are used to describe the nature of tooth agenesis. Hypodontia is most frequently used when describing the phenomenon of congenitally missing teeth. Many other terms to describe a reduction in the number of teeth appear in the literature: oligodontia, anodontia, aplasia of teeth, congenitally missing teeth, absence of teeth, agenesis of teeth and lack of teeth. The term hypodontia is used when one to six teeth, excluding third molars, are missing, and oligodontia when more than six teeth are absent (excluding the third molars). The long‐term management of hypodontia in the aesthetic zone is a particularly challenging situation. Although there are essentially two distinct approaches to manage this problem, that is space closure or opening for prosthetic replacements, implant or autotransplantation. These patients often manifest with many underlying skeletal and dental problems and a multidisciplinary approach for management of this condition is recommended. Two treatment approaches including space closure and space reopening are described in details in this chapter.",signatures:"Abdolreza Jamilian, Alireza Darnahal, Ludovica Nucci, Fabrizia\nD’Apuzzo and Letizia Perillo",downloadPdfUrl:"/chapter/pdf-download/55902",previewPdfUrl:"/chapter/pdf-preview/55902",authors:[{id:"171777",title:"Prof.",name:"Abdolreza",surname:"Jamilian",slug:"abdolreza-jamilian",fullName:"Abdolreza Jamilian"},{id:"171873",title:"Dr.",name:"Alireza",surname:"Darnahal",slug:"alireza-darnahal",fullName:"Alireza Darnahal"},{id:"173044",title:"Prof.",name:"Letizia",surname:"Perillo",slug:"letizia-perillo",fullName:"Letizia Perillo"},{id:"198961",title:"MSc.",name:"Fabrizia",surname:"D'Apuzzo",slug:"fabrizia-d'apuzzo",fullName:"Fabrizia D'Apuzzo"},{id:"206137",title:"Mrs.",name:"Ludovica",surname:"Nucci",slug:"ludovica-nucci",fullName:"Ludovica Nucci"}],corrections:null},{id:"55973",title:"Anatomical and Functional Restoration of the Compromised Occlusion: From Theory to Materials",doi:"10.5772/intechopen.69544",slug:"anatomical-and-functional-restoration-of-the-compromised-occlusion-from-theory-to-materials",totalDownloads:1248,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Many conditions can alter the occlusal interface, from tooth wear to tooth loss. The masticatory system is constituted by many components that can influence each other like muscles, joints, teeth and nervous system. This implies that (a) every change at occlusal level makes the other components to adapt and (b) an occlusal alteration may be the effect of an alteration occurred on muscles or joints. Keeping this in mind, traditional principles of occlusal rehabilitation are analysed, and the choice of the restorative materials is discussed.",signatures:"Nicola Mobilio and Santo Catapano",downloadPdfUrl:"/chapter/pdf-download/55973",previewPdfUrl:"/chapter/pdf-preview/55973",authors:[{id:"179565",title:"Dr.",name:"Nicola",surname:"Mobilio",slug:"nicola-mobilio",fullName:"Nicola Mobilio"},{id:"199397",title:"Prof.",name:"Santo",surname:"Catapano",slug:"santo-catapano",fullName:"Santo Catapano"}],corrections:null},{id:"57245",title:"Evaluation of the Anatomy of the Lower First Premolar",doi:"10.5772/intechopen.71038",slug:"evaluation-of-the-anatomy-of-the-lower-first-premolar",totalDownloads:877,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter provides information about the lower first premolars. This tooth is considered to be one of the most complex teeth and the dentistry graduation students usually have difficulties in identifying it. The aim of this chapter is to present a detailed morphological study of extracted lower first premolars. One hundred lower first premolars, belonging to the collection of the Laboratory of Anatomy of the Department of Morphology of the São Paulo State University (UNESP), School of Dentistry, Araraquara, SP, Brazil, were evaluated. Nine measurements were performed through direct observation without any instruments. Other 20 measurements were made by photographs and they were analyzed by the Image Tool 3.0 program. According to the results, it was concluded that most of the teeth presented the following features such as one lingual cusp; the distal occlusal pits were wider than the mesial occlusal pits; an enamel bridge linking the buccal and lingual cusps; the grooves in the lingual surface that emerged from the mesial and distal occlusal pits were absent, and where the grooves were present, they emerged from the mesial occlusal pit; one rectilinear root with no root grooves and where the root groove was present, it was observed in the mesial surface.",signatures:"Ticiana Sidorenko de Oliveira Capote, Suellen Tayenne Pedroso\nPinto, Marcelo Brito Conte, Juliana Álvares Duarte Bonini Campos\nand Marcela de Almeida Gonçalves",downloadPdfUrl:"/chapter/pdf-download/57245",previewPdfUrl:"/chapter/pdf-preview/57245",authors:[{id:"87871",title:"Prof.",name:"Ticiana",surname:"Capote",slug:"ticiana-capote",fullName:"Ticiana Capote"},{id:"199157",title:"Prof.",name:"Marcela",surname:"De Almeida Gonçalves",slug:"marcela-de-almeida-goncalves",fullName:"Marcela De Almeida Gonçalves"},{id:"199243",title:"BSc.",name:"Marcelo",surname:"Brito Conte",slug:"marcelo-brito-conte",fullName:"Marcelo Brito Conte"},{id:"199244",title:"Prof.",name:"Juliana",surname:"Álvares Duarte Bonini Campos",slug:"juliana-alvares-duarte-bonini-campos",fullName:"Juliana Álvares Duarte Bonini Campos"},{id:"217420",title:"Mrs.",name:"Suellen",surname:"Tayenne Pedroso Pinto",slug:"suellen-tayenne-pedroso-pinto",fullName:"Suellen Tayenne Pedroso Pinto"}],corrections:null},{id:"57752",title:"A Comparative Study of the Validity and Reproducibility of Mesiodistal Tooth Size and Dental Arch with iTeroTM Intraoral Scanner and the Traditional Method",doi:"10.5772/intechopen.70963",slug:"a-comparative-study-of-the-validity-and-reproducibility-of-mesiodistal-tooth-size-and-dental-arch-wi",totalDownloads:894,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Introduction: The introduction of intraoral scanning offers an alternative for measuring mesiodistal tooth sizes.",signatures:"Ignacio Faus-Matoses, Ana Mora, Carlos Bellot-Arcís, Jose Luis\nGandia-Franco and Vanessa Paredes-Gallardo",downloadPdfUrl:"/chapter/pdf-download/57752",previewPdfUrl:"/chapter/pdf-preview/57752",authors:[{id:"150456",title:"Prof.",name:"Vanessa",surname:"Paredes",slug:"vanessa-paredes",fullName:"Vanessa Paredes"},{id:"150458",title:"Prof.",name:"José-Luis",surname:"Gandia-Franco",slug:"jose-luis-gandia-franco",fullName:"José-Luis Gandia-Franco"},{id:"212242",title:"Prof.",name:"Ignacio",surname:"Faus",slug:"ignacio-faus",fullName:"Ignacio Faus"},{id:"212243",title:"Prof.",name:"Carlos",surname:"Bellot-Arcís",slug:"carlos-bellot-arcis",fullName:"Carlos Bellot-Arcís"},{id:"218390",title:"Prof.",name:"Ana",surname:"Mora",slug:"ana-mora",fullName:"Ana Mora"}],corrections:null},{id:"57378",title:"Identification of Lower Central Incisors",doi:"10.5772/intechopen.71341",slug:"identification-of-lower-central-incisors",totalDownloads:837,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Unlike the other teeth, the permanent lower central incisors have great symmetry between the proximal surfaces, being difficult to distinguish them. It was intended to facilitate the study of the anatomy of the lower central incisor for dentistry students, that this study searched for a better way to differentiate the third quadrant element (31) from the fourth quadrant element (41). The purpose of this chapter was to evaluate 100 permanent lower central incisors of the didactic collection of the Discipline of Anatomy of the Department of Morphology of the School of Dentistry of Araraquara - UNESP and to verify the presence of correlation between the some anatomical features. Besides, it was evaluated if there was difference between 31 and 41. It was verified that the systematic methodology used for the evaluation of the incisors in this study facilitated the identification of the teeth. There was no statistically significant difference between the measurements of 31 and 41. Distinguishing the right from the left central incisor is difficult, even for experienced practitioners. We could observe that the measurements do not facilitate the identification of teeth of different quadrants. Therefore, the anatomical features are relevant for the study of the dental anatomy in the identification of the lower central incisors.",signatures:"Marcela de Almeida Gonçalves, Bruno Luís Graciliano Silva, Marcelo\nBrito Conte, Juliana Álvares Duarte Bonini Campos and Ticiana\nSidorenko de Oliveira Capote",downloadPdfUrl:"/chapter/pdf-download/57378",previewPdfUrl:"/chapter/pdf-preview/57378",authors:[{id:"199157",title:"Prof.",name:"Marcela",surname:"De Almeida Gonçalves",slug:"marcela-de-almeida-goncalves",fullName:"Marcela De Almeida Gonçalves"},{id:"199243",title:"BSc.",name:"Marcelo",surname:"Brito Conte",slug:"marcelo-brito-conte",fullName:"Marcelo Brito Conte"},{id:"199244",title:"Prof.",name:"Juliana",surname:"Álvares Duarte Bonini Campos",slug:"juliana-alvares-duarte-bonini-campos",fullName:"Juliana Álvares Duarte Bonini Campos"},{id:"221435",title:"Mr.",name:"Bruno Luis Graciliano",surname:"Silva",slug:"bruno-luis-graciliano-silva",fullName:"Bruno Luis Graciliano Silva"},{id:"221438",title:"Prof.",name:"Ticiana Sidorenko De Oliveira",surname:"Capote",slug:"ticiana-sidorenko-de-oliveira-capote",fullName:"Ticiana Sidorenko De Oliveira Capote"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"7572",title:"Trauma in Dentistry",subtitle:null,isOpenForSubmission:!1,hash:"7cb94732cfb315f8d1e70ebf500eb8a9",slug:"trauma-in-dentistry",bookSignature:"Serdar Gözler",coverURL:"https://cdn.intechopen.com/books/images_new/7572.jpg",editedByType:"Edited by",editors:[{id:"204606",title:"Dr.",name:"Serdar",surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8837",title:"Human Teeth",subtitle:"Key Skills and Clinical Illustrations",isOpenForSubmission:!1,hash:"ac055c5801032970123e0a196c2e1d32",slug:"human-teeth-key-skills-and-clinical-illustrations",bookSignature:"Zühre Akarslan and Farid Bourzgui",coverURL:"https://cdn.intechopen.com/books/images_new/8837.jpg",editedByType:"Edited by",editors:[{id:"171887",title:"Prof.",name:"Zühre",surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan"}],equalEditorOne:{id:"52177",title:"Prof.",name:"Farid",middleName:null,surname:"Bourzgui",slug:"farid-bourzgui",fullName:"Farid Bourzgui",profilePictureURL:"https://mts.intechopen.com/storage/users/52177/images/system/52177.png",biography:"Prof. Farid Bourzgui obtained his DMD and his DNSO option in Orthodontics at the School of Dental Medicine, Casablanca Hassan II University, Morocco, in 1995 and 2000, respectively. Currently, he is a professor of Orthodontics. He holds a Certificate of Advanced Study type A in Technology of Biomaterials used in Dentistry (1995); Certificate of Advanced Study type B in Dento-Facial Orthopaedics (1997) from the Faculty of Dental Surgery, University Denis Diderot-Paris VII, France; Diploma of Advanced Study (DESA) in Biocompatibility of Biomaterials from the Faculty of Medicine and Pharmacy of Casablanca (2002); Certificate of Clinical Occlusodontics from the Faculty of Dentistry of Casablanca (2004); University Diploma of Biostatistics and Perceptual Health Measurement from the Faculty of Medicine and Pharmacy of Casablanca (2011); and a University Diploma of Pedagogy of Odontological Sciences from the Faculty of Dentistry of Casablanca (2013). He is the author of several scientific articles, book chapters, and books.",institutionString:"University of Hassan II Casablanca",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"7",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"University of Hassan II Casablanca",institutionURL:null,country:{name:"Morocco"}}},equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9588",title:"Clinical Concepts and Practical Management Techniques in Dentistry",subtitle:null,isOpenForSubmission:!1,hash:"42deab8d3bcf3edf64d1d9028d42efd1",slug:"clinical-concepts-and-practical-management-techniques-in-dentistry",bookSignature:"Aneesa Moolla",coverURL:"https://cdn.intechopen.com/books/images_new/9588.jpg",editedByType:"Edited by",editors:[{id:"318170",title:"Dr.",name:"Aneesa",surname:"Moolla",slug:"aneesa-moolla",fullName:"Aneesa Moolla"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10126",title:"Dental Caries",subtitle:null,isOpenForSubmission:!1,hash:"0878a332413e67a1aa0a16fabeed9046",slug:"dental-caries",bookSignature:"Efka Zabokova Bilbilova",coverURL:"https://cdn.intechopen.com/books/images_new/10126.jpg",editedByType:"Edited by",editors:[{id:"275097",title:"Associate Prof.",name:"Efka",surname:"Zabokova Bilbilova",slug:"efka-zabokova-bilbilova",fullName:"Efka Zabokova Bilbilova"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9387",title:"Oral Diseases",subtitle:null,isOpenForSubmission:!1,hash:"76591a3bd6bedaa1c8d1f72870268e23",slug:"oral-diseases",bookSignature:"Gokul Sridharan, Anil Sukumaran and Alaa Eddin Omar Al Ostwani",coverURL:"https://cdn.intechopen.com/books/images_new/9387.jpg",editedByType:"Edited by",editors:[{id:"82453",title:"Dr.",name:"Gokul",surname:"Sridharan",slug:"gokul-sridharan",fullName:"Gokul Sridharan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7497",title:"Computer Vision in Dentistry",subtitle:null,isOpenForSubmission:!1,hash:"1e9812cebd46ef9e28257f3e96547f6a",slug:"computer-vision-in-dentistry",bookSignature:"Monika Elzbieta Machoy",coverURL:"https://cdn.intechopen.com/books/images_new/7497.jpg",editedByType:"Edited by",editors:[{id:"248279",title:"Dr.",name:"Monika",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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According to data available in the National Cancer Registry, the number of pancreatic cancers in Poland in 2016 was over 3,486 (standardized ratio 5.5/100,000). In 2016, pancreatic cancer in the illness mortality structure in Poland took eighth place in men (2.1%) and eleventh in women (2.1%). Most pancreatic cancers are diagnosed in Poland after the age of 50 [1, 2].
In Poland, pancreatic cancer occurs less frequently than in most European Union countries. Pancreatic cancer is much more common in developed countries (North America, Central and Northern Europe, Australia) than in African or Indian countries. The American statistical data from 2018 provided the number of 56,770 new cases, including 29,940 in men and 26,830 in women (fourth place in the mortality structure in men and women) [3].
Pancreatic cancer is the fourth most common cancer causing death in the world [4]. In Poland, it is the sixth most common cause of deaths for men (4.3% in the mortality structure) and five women (5.6% in the mortality structure) due to cancer. In 2016, a total of 4,908 Poles died due to pancreatic cancer (standardized ratio 6.2/100,000), and this ratio is comparable to the average of the European Union countries and other countries in the world. The 5-year survival rate in patients with pancreatic cancer in Poland is 9.0% [1, 2].
Risk factors for pancreatic cancer include genetic factors, smoking, obesity, diet rich in red meat and animal fats, and chronic pancreatitis. Surgical treatment is the only method that allows complete cure of pancreatic cancer, provided there is no metastasis at the time of diagnosis, however, due to significant illness severity, only 15–20% of patients can be optimally treated surgically [5].
Due to the very low survival rate of patients with pancreatic cancer (on average 3–7 months from diagnosis and 10–15% one year), it is important that the treatment of patients takes into account the achievement of the highest quality of life [6, 7]. The subjectively assessed quality of life of patients with cancer largely depends on the acceptance of cancer and coping with pain and illness. In the case of pancreatic cancer, patients, having knowledge that survival with this type of illness is very low, may have a tendency to choose destructive behaviors in coping with the illness, which may affect the quality of life they assess, increase pain, and affect the effects of treatment.
The aim of the study was to assess the level of acceptance of the illness, strategies for coping with pain, locating pain control, as well as adapting to life with cancer in patients with pancreatic cancer. The study looked for relationships between socio-economic factors (sex, age, education, professional status, income, place of residence) and treatment with chemotherapy, and results obtained in psychometric tests.
The study was conducted between 2017 and mid-2018 among 46 patients diagnosed with pancreatic cancer in stage II-IV according to the AJCC 2017, 8th ed. The outpatients were treated with chemotherapy with gemcitabine at the Center of Oncology at Maria Sklodowska-Curie’s Institute in Warsaw. The study tool was a questionnaire with metric questions and four psychometric tests:
The Beliefs about Pain Control Questionnaire (BPCQ), designed to examine people suffering from pain.
The Pain Coping Strategies Questionnaire (CSQ), used to examine people who complain about pain.
Approval Illness Scale (AIS), measuring the level of adjustment to the illness.
Mental Adjustment to Cancer Scale (Mini-MAC), measuring the level of mental adjustment to cancer.
The PAPI (Paper and Pencil Interview) technique was used in the study. All patients included in the study gave consented to carry it out.
The study findings were then statistically analyzed with the use of Student’s t-test for independent samples, one-way analysis of variance and Pearson’s r correlation (in the case of age variable). The adopted statistical significance was at p < 0.05.
The scores of the tests were correlated with socioeconomic characteristics of the respondents: sex, age, education, professional status, place of residence, net income-per-household-member, and with chemotherapy treatment in the past year.
The study involved patients aged 30–84 years (M = 60.46, SD = 12.28), including 24 (52.2%) women aged 43–84 (M = 63.71, SD = 12.08) and 22 (47.8%) men aged 30–74 (M = 56.91, SD = 11.74).
Among the studied group of patients, 16 (34.8%) have primary/vocational education, 14 (30.4%) have secondary, and 16 (34.8%) have higher education. Over half of the patients - 26 (56.5%) live in towns with a population of up to 100,000, and 20 (43.5%) live in cities with a population of over 100,000. Half of the patients have a monthly net income of up to PLN 1,500 (23 patients, 50.0%), thereby 50% patients indicated that they achieved income over PLN 1,500.00. There were 20 people (43.5%) working in the examined group, and 26 patients (56.5%) were pensioners (56.5%).
In 23 patients (50.0%) metastases were diagnosed. Among the studied group of patients, 25 (54.3%) were undergoing chemotherapy treatment, 15 (32.6%) were undergoing radiotherapy and 10 subjects (21.7%) were undergoing targeted treatment.
In the assessment of pain control in patients with pancreatic cancer S. Skevington’s BPCQ (The Beliefs about Pain Control Questionnaire), consisting of 13 statements, was used. In accordance with the assumptions of the BPCQ, the statements used in the questionnaire constitute a part of three factors that measure the strength of individual beliefs about controlling pain personally (internal factors), influence of physicians (other forces), or by random events [8].
In the case of patients with pancreatic cancer, the highest average score in the BPCQ questionnaire was obtained by “internal factors” (M = 16.85; SD = 5.64), and the lowest – “random events” (M = 14.85; SD = 4.11) (Table 1), which means that patients believe that these factors contribute to pain control.
Variable | |||||||||
---|---|---|---|---|---|---|---|---|---|
Strategies | Distraction | 19.26 | 8.00 | 2 | 36 | 0.65 | 0.794 | 4.00 | −0.12 |
counseling | Re-evaluation of pain sensations | 13.35 | 9.24 | 0 | 36 | 1.01 | 0.257 | 0.02 | −0.39 |
myself | Catastrophizing | 18.39 | 7.65 | 2 | 33 | 0.64 | 0.804 | −0.09 | −0.31 |
with pain | Ignoring sensations | 14.93 | 9.36 | 0 | 36 | 0.61 | 0.844 | −0.05 | −0.65 |
Praying/Hope | 22.33 | 7.85 | 9 | 36 | 0.72 | 0.673 | 0.09 | −1.04 | |
Declaring coping | 19.83 | 8.06 | 7 | 36 | 0.91 | 0.374 | 0.20 | −0.99 | |
Increased behavioral activity | 19.67 | 8.59 | 2 | 36 | 0.63 | 0.819 | 0.14 | −0.61 | |
Adaptation | Anxiety preoccupation | 18.30 | 4.72 | 8 | 28 | 0.60 | 0.865 | 0.04 | −0.52 |
mental | Fighting spirit | 19.80 | 3.89 | 9 | 28 | 0.59 | 0.882 | 0.04 | 0.55 |
to disease | Helplessness-hopelessness | 15.87 | 4.56 | 7 | 26 | 0.66 | 0.776 | 0.11 | −0.65 |
cancerous | Positive reevaluation | 20.07 | 3.67 | 12 | 28 | 0.78 | 0.584 | −0.28 | −0.34 |
Acceptance of the disease | 23.13 | 7.84 | 8 | 38 | 0.61 | 0.857 | −0.18 | −0.84 | |
Control | Inside | 16.85 | 5.64 | 6 | thirty | 0.78 | 0.581 | 0.16 | 0.04 |
pain | The influence of doctors | 16.54 | 4.21 | 5 | 24 | 0.59 | 0.875 | −0.04 | 0.15 |
Random events | 14.85 | 4.11 | 7 | 24 | 0.58 | 0.892 | 0.03 | −0.25 |
Descriptive statistics for the analyzed variables.
M.- average value; SD - standard deviation; min - minimum value; max - maximum value; Z - value of the Kolmogorov–Smirnov test; p - statistical significance; S - skewness measure; K - measure of kurtosis.
Socio-economic variables that differentiate results in patients with pancreatic cancer are gender and net income per household member. In the case of gender, there was a statistically significant difference in the internal locus of pain control (p = 0.024). The mean value obtained in the group of women (M = 18.63) was higher than in the group of men (M = 14.91).
The level of income in the studied group of patients influenced the difference in the locus of pain control in random events (p = 0.027). The mean value of the severity of the locus of pain control in random events was higher in the group of people with higher income above PLN 1,500 (M = 16.17) than in those in the case of whom in the household the income per family member does not exceed PLN 1,500 (M = 13.52).
Other variables (age, education, place of residence, professional status and chemotherapy) did not affect the results of the pain control questionnaire.
The Pain Coping Strategies Questionnaire developed by A.K. Rosenstiel and F.J. Keefe (CSQ) is used to examine people who complain about pain. The questionnaire consists of 42 statements and is intended to assess the pain coping strategies that patients use, as well as to verify the effectiveness of these strategies in reducing or managing pain. The ways of dealing with pain assessed in the questionnaire reflect six cognitive and one behavioral strategy, which in turn constitute a part of three factors: cognitive coping, distracting and taking substitute actions, and catastrophizing and seeking hope [9].
In the BPCQ the highest average score for respondents suffering from pancreatic cancer was obtained by praying/hoping (M = 22.33; SD = 7.85), then declaring coping (M = 19.83; SD = 8.06) and increased behavioral activity (M = 19.67; SD = 8.59). According to patients, these factors have the greatest impact on the fight against cancer. The smallest values are visible in the case of re-evaluation of pain (M = 13.35; SD = 9.24) and ignoring sensations (M = 14.93; SD = 9.36) (Figure 1).
Results of the CSQ for patients with pancreatic cancer.
The assessment that was particularly differentiated by the socio-economic variables under study is praying/hoping. The results in this assessment are differentiated by gender, age, occupational status and the fact that patients have undergone chemotherapeutic treatment in the last year.
In the case of gender, it was noticed that the average value of the praying/hoping assessment was significantly higher in the group of women than men (p = 0.030), and the average values of this assessment were 24.71 for women and 19.73 for men respectively.
In the assessment of praying/hoping, statistically significant positive correlations were obtained in the case of the age of the respondents (r = 0.367). In addition, the age of patients positively correlated with the assessment of increased behavioral activity (r = 0.387).
The average value of the praying/hoping dimension was also higher in the group of pensioners than in the group of working patients (p = 0.044), amounting to 24.48 for pensioners and 19.75 for working people.
Patients who have not been subjected to chemotherapy in the last year also had a higher average value of praying/hoping in the BPCQ (M = 25.52) than patients who were subjected to chemotherapy (M = 19.64) (p = 0.010).
Patients’ education, place of residence and income per family member did not affect the pain coping strategies adopted by patients.
The Approval Illness Scale (AIS) consists of eight statements, based on which the results obtainable for each respondent in the level of acceptance of the illness are within the range from 8 to 40. The higher the score, the better adjustment to the illness and the lesser the sense of mental discomfort. The lower the score, the greater the severity of negative emotions associated with the illness, and thus its lower acceptance [10].
The mean score (disease acceptance level) obtained by patients suffering from pancreatic cancer in the AIS scale was 23.13 with a standard deviation of 7.84. None of the socio-economic variables studied determines differences in the level of illness acceptance between groups.
The average value of acceptance of the illness in the group of women was 22.54 and was close to the average value obtained in the group of men, which was 23.77. The average value of acceptance of the illness in the group of people with primary or vocational education was 22.08, in the group of people with secondary education was 23.43, and in the group of people with higher education was 23.13.
The average disease acceptance was similar in the group of people living in towns with a population of up to 100,000, and in towns with a population above 100,000 (23.1 and 23.15, respectively).Income also did not differentiate the obtained results. The average value of acceptance of the illness in the group of people with net income of up to PLN 1,500 per person in the family was 23.61 and was also close to the average value obtained in the group of people who achieved income above PLN 1,500 (M = 22.65).
The average value of acceptance of the illness in the working group was 24.85, and in the group of pensioners - 21.52, but these differences were also not statistically significant.
The average value of acceptance of the illness in the group of patients who underwent the chemotherapeutic treatment last year was 22.84 and similarly to other variables it was close to the average value obtained in the group of people who did not undergo chemotherapy treatment which was 23.48.
The Mini-Mac (Mental Adjustment to Cancer) questionnaire measures four methods of mental adjustment to the illness: anxiety, fighting spirit, helplessness - hopelessness and positive reevaluation. According to the assumptions of the questionnaire, anxiety and helplessness-hopelessness are part of a passive (destructive) style of coping with the illness, and the other two dimensions refer to the active (constructive) style of coping with the illness [11].
Respondents suffering from pancreatic cancer obtained the highest result of the Mini-Mac test in terms of positive re-evaluation (M = 20.07, SD = 3.67) and fighting spirit (M = 19.80, SD = 3.89) and these are the main disease adaptation methods used by patients, and the lowest - in terms of helplessness-hopelessness (M = 15.87, SD = 4.56) (Table 2).
Women | Men | ||||||
---|---|---|---|---|---|---|---|
Variable | |||||||
Distraction | 20.71 | 8.72 | 17.68 | 7.01 | 1.29 | 44 | 0.204 |
Re-evaluation of pain sensations | 13.33 | 9.67 | 13.36 | 8.97 | −0.01 | 44 | 0.991 |
Catastrophizing | 18.13 | 6.91 | 18.68 | 8.54 | −0.24 | 44 | 0.808 |
Ignoring sensations | 15.63 | 9.44 | 14.18 | 9.44 | 0.52 | 44 | 0.607 |
Declaring coping | 19.88 | 8.78 | 19.77 | 7.40 | 0.04 | 44 | 0.966 |
Increased behavioral activity | 20.79 | 9.78 | 18.45 | 7.10 | 0.92 | 44 | 0.363 |
Mean values of the intensity of coping with pain in the group of women and in the group of men.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
The strategy of positive re-evaluation was differentiated by the gender of patients (p = 0.002). The average value of positive re-evaluation obtained in the group of women was higher than in the group of men (respectively M = 21.63 and M = 18.36). Similarly, the average in positive re-evaluation was dependent on the age of patients - the higher the age, the higher the values obtained by patients in this assessment (r = 0.550). The age of the patients also positively correlated with fighting spirit (r = 0.429).
The average value of positive re-evaluation was statistically significantly lower in the group of patients with higher education (M = 17.50) than in the group with basic or vocational education (M = 21.00) and in the group of people with secondary education (M = 21.93) (p = 0.001).
Income also conditioned the value of positive re-evaluation (p = 0.004). The average value of positive re-evaluation was higher in the group of people with lower income up to PLN 1,500 per person in the family (M = 21.57) in comparison with people whose income per family member exceeded PLN 1,500 (M = 18.57).
Positive re-evaluation was also conditioned by the professional status of patients (p = 0.001). The average value of this assessment was higher in the group of pensioners (M = 21.83) than in the group of working patients (M = 17.70).
Chronic illness forces patients to make many changes in their life to be able to adapt to the new situation. In this area, accepting the losses caused by the illness seems to be the most difficult for patients, coping with the limitations and measuring the risks that may arise in connection with cancer [12].
Pancreatic cancer is usually diagnosed at an advanced stage, which results from the fact that the patient feels the symptoms only when the illness is fully developed and the metastases are already distant. At the same time, late diagnosis of the illness is associated with rapidly developing, difficult to treat symptoms, which in the case of pancreatic cancer include quick destruction of the body, lack of appetite, pain, pruritus, nausea and vomiting, deep vein thrombosis. Many patients with pancreatic cancer do not survive the first year after the diagnosis, and with severe pain and high severity of cancer symptoms it seems reasonable to implement palliative care in the first months after the diagnosis [13]. Furthermore, patients themselves are aware that the survival rate with pancreatic cancer is one of the lowest of all cancers, which is additionally a stress factor for patients.
A study to assess the level of stress and depression among patients with various cancers indicates that patients with pancreatic cancer are most affected by anxiety and are characterized by the highest rate of depression [14, 15]. Similar results are indicated by Clark K.L. et al. [16].
Many studies indicate that subjective feelings, attitudes and behaviors influence pain. Pain as a physical and psychological phenomenon is felt with the participation of consciousness, therefore the state of the psyche and psychological factors play a fundamental role in experiencing pain, especially chronic pain. Particularly important element affecting the experience of pain is the control locus (locus of control is the degree to which people believe they control the situations they experience in lives; control can be internal or external) which also directly affects the behavior of the patient in a situation of pain [17, 18, 19].
Our study, including 46 patients with pancreatic cancer, indicates that patients control pain mainly through internal factors (M = 16.85, SD = 5.64). A similar result is obtained by patients with cancer of the digestive system - colorectal cancer (N = 238; M = 17.36; SD = 5.48) [20]. Studies conducted by Basińska M.A. et al. also using the BPCQ questionnaire in patients with colorectal cancer and lung cancer indicate that in both groups the patients attribute the greatest role in the control of pain to the influence of physicians (for patients with lung cancer M = 17.08, SD 4.97, and for patients with colorectal cancer M = 16.98, SD = 4.32) (Table 3). Patients attribute the lowest role of pain control to random events (for patients with lung cancer M = 15.18, SD = 3.80, and for patients with colorectal cancer M = 15.00, SD = 3.46), and these values are very similar to the sense of control through internal factors. The study conducted by Basińska M.A. et al. at the same time, indicated that patients with external control locus use methods of passively struggling with the illness and vice versa - patients with high internal control locus are characterized by high activity and better psychological well-being. The external health control locus is associated with chronic negative emotions such as depression, anxiety or hostility, as well as an increase in pain symptoms in patients [17].
Variables | Age |
---|---|
Distraction | 0.276 |
Re-evaluation of pain sensations | 0.092 |
Catastrophizing | −0.229 |
Ignoring sensations | 0.089 |
Praying/Hope | 0.369* |
Declaring coping | 0.207 |
Increased behavioral activity | 0.387** |
Pearson’s r correlation coefficients between the age of the respondents and the strategies of coping with pain.
p < 0.01.
According to our study, the most common way to cope with pain in the case of patients with pancreatic cancer is praying/hoping (M = 22.33, SD = 7.85), typical primarily for women, the elderly, and pensioners. These groups obtained by far the highest values in the assessment of praying/hoping. Patients with colorectal cancer in the study conducted by Czerw A. et al. most often use coping strategies and increased behavioral activity [20] also typical for prostate cancer [21], lung cancer [22] and breast cancer [23] (Figure 2). Interestingly, among patients with colorectal cancer, it was noticed that the strategy of praying/hoping is particularly often chosen by women and the group of pensioners [20], as in the case of patients with pancreatic cancer according to our study.
The most common way to cope with pain in cancer patients [
The strategies of praying/hoping and declaring coping typical for patients with pancreatic cancer are the most commonly used in the group of patients chronically ill with back pain in the studies conducted by A.K. Rosenstiel and F.J. Keefe. Similarly, the most rarely used strategy for patients was the re-evaluation of pain [9], and this assessment was also poorly assessed by patients in our study. Although, Religioni U. et al. [24] in the study conducted on cancer patients indicates that socio-economic variables, which most often differentiate the selection of strategies for coping with cancer pain, are education and income, in the case of patients with pancreatic cancer, this relationship was not noticed.
However, it should be noted that many studies indicate that the strategies of catastrophizing or praying/hoping significantly affect the severity of pain symptoms in chronic illnesses and deterioration of the general health condition [25, 26].
The level of acceptance of the illness among patients with pancreatic cancer in our study was 23.13 (SD = 7.84). The acceptance of the illness in the studied group is lower than in the group of patients with other cancers (among patients with breast cancer the average disease acceptance score in the AIS test was 28.46, among patients with lung cancer M = 23.17, among patients with cancer of the large intestine M = 27.74, among prostate cancer patients M = 30.39) [27]. Similarly, Kapela I. et al. indicate that among patients with colorectal cancer, the level of acceptance of the disease according to the AIS scale reaches values slightly higher than the average (M = 28.4) and close to the values obtained in the studies conducted by Religioni U. et al. [28].
Significantly lower results in the AIS test were obtained by Kozak G. Among the oncological patients subject to palliative care, the highest level of acceptance of the illness was observed in women with cancer of the reproductive organs (M = 21.93, SD = 6.00) compared to patients with colorectal cancer (M = 16.58, SD = 7.42), gastric cancer (M = 16.87, SD = 5.59) and pancreatic cancer (M = 18.23, SD = 9.13) [29]. The level of acceptance of the illness in patients with various cancers, including pancreatic cancer, examined by Kołpa M. et al. was on average M = 25.35; SD = 9.25. This study indicates that age diversifies the level of adjustment to the illness, but other variables, such as education or gender, do not affect the results [30]. In the study of patients with pancreatic cancer none of the variables affected the level of acceptance of the illness.
The study conducted on other groups of patients indicates that such patients get higher results in the AIS test than patients with pancreatic cancer, e.g. patients with diabetes M = 25.76; SD = 10.34, patients with cardiovascular disease M = 27.78; SD = 9.86, patients with diseases of the nervous system M = 27.02; SD = 8.92 [12].
Among the available studies only few groups achieve lower values in the AIS test compared to patients with pancreatic cancer in our study: men after myocardial infarction (M = 22.14), men with chronic pain (M = 18.44), men with back pain (M = 20.51) [31].
The level of disease acceptance among patients with various types of cancer is presented in Table 4.
Education | ||||||||
---|---|---|---|---|---|---|---|---|
basic/valve | medium | higher | ||||||
Variable | ||||||||
Distraction | 22.69 | 6.84 | 18.00 | 9.82 | 16.94 | 6.49 | 2.46 | 0.097 |
Re-evaluation of pain sensations | 16.44 | 9.70 | 10.21 | 9.78 | 13.00 | 7.72 | 1.77 | 0.183 |
Catastrophizing | 17.81 | 9.52 | 17.43 | 8.44 | 19.81 | 4.46 | 0.42 | 0.659 |
Ignoring sensations | 16.81 | 9.74 | 12.93 | 10.13 | 14.81 | 8.46 | 0.63 | 0.535 |
Praying/Hope | 21.06 | 8.93 | 26.36 | 6.99 | 20.06 | 6.38 | 2.95 | 0.063 |
Declaring coping | 20.63 | 7.71 | 19.93 | 8.22 | 18.94 | 8.68 | 0.17 | 0.844 |
Increased behavioral activity | 22.31 | 6.67 | 18.14 | 11.29 | 18.38 | 7.43 | 1.17 | 0.321 |
Average values of the strategies of coping with pain in the group of people with primary or vocational education, in the group of people with secondary education and in the group of people with higher education.
M.- average value; SD - standard deviation; F - value of the one-way analysis of variance; p - statistical significance.
Pancreatic cancer is a specific type of cancer. The coping process is dynamic and involves various strategies, the use of which depends on the duration of the illness [32]. Among the methods of coping with cancer by patients with pancreatic cancer, positive re-evaluation (M = 20.07, SD = 3.67) and fighting spirit (M = 19,8; SD = 3,89) dominate. In patients with colorectal cancer in the study conducted by Kapela I. et al. the constructive style dominates as well, with a predominance of fighting spirit (M = 23.9) and positive re-evaluation (M = 22.5) [28]. Similar results were obtained by Czerw A. et al. among patients with colorectal cancer (fighting spirit M = 23.42, positive re-evaluation M = 22.31) [20].
The average results for anxiety and hopelessness/hopelessness in our study were respectively M = 18.30;SD = 4.72 and M = 15.87; SD = 4.56, which is a much higher result than in the case of other most common cancers (lung, breast, colon and prostate cancer) [33]. Similar, although higher results for these assessments are indicated by Kozak G. In his studies, men with prostate cancer have the highest intensity of anxiety among all cancer patients. Anxiety is also significantly higher in the case of patients with stomach cancer (M = 22.84; SD = 5.52), pancreas cancer (M = 22.43; SD = 6.30) and colorectal cancer (M = 21.72; SD = 6.55) in comparison to women with cancer of the reproductive organs (M = 18.34; SD = 4.26). In the case of these patients, the highest level of fighting spirit is observed (M = 23.95; SD = 4.35). In the studies conducted by Kozak G. a significantly higher level of fighting spirit was observed in patients with stomach cancer (M = 19.62; SD = 5.82) and colorectal cancer (M = 19.37; SD = 5.32) in comparison to patients with pancreatic cancer M = 15.43; SD = 5.01) or prostate cancer (M = 15.68; SD = 5.06). Patients with stomach cancer (M = 20.98; SD = 5.68), pancreatic cancer (M = 21.22; SD = 5.10) and colorectal cancer (M = 19.16; SD = 7.41) are characterized by greater severity of helplessness/hopelessness compared to women with cancer of the reproductive organs (M = 13.70; SD = 5.36) (Table 5) [29].
The number of residents | |||||||
---|---|---|---|---|---|---|---|
up to 100,000 | over 100 thousand | ||||||
Variable | |||||||
Distraction | 18.92 | 7.66 | 19.70 | 8.61 | −0.32 | 44 | 0.748 |
Re-evaluation of pain sensations | 14.00 | 10.61 | 12.50 | 7.26 | 0.54 | 44 | 0.591 |
Catastrophizing | 19.12 | 7.95 | 17.45 | 7.33 | 0.73 | 44 | 0.470 |
Ignoring sensations | 15.15 | 9.85 | 14.65 | 8.94 | 0.18 | 44 | 0.859 |
Praying/Hope | 23.50 | 7.38 | 20.80 | 8.37 | 1.16 | 44 | 0.252 |
Declaring coping | 19.73 | 7.86 | 19.95 | 8.52 | −0.09 | 44 | 0.928 |
Increased behavioral activity | 20.42 | 7.96 | 18.70 | 9.48 | 0.67 | 44 | 0.506 |
Average values of the pain coping strategy in the group of people living in towns with a population of up to 100,000 and in the group of people living in towns with more than 100,000 inhabitants.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
The analysis of the level of acceptance of the illness in relation to the adopted way of adjustment to the illness indicated that the higher the level of acceptance on the AIS scale, the higher the level of fighting spirit and the level on the scale of the constructive style (Mini-MAC) [30]. In this context, the implementation of activities aimed at helping to accept the disease is particularly important. These actions should be taken by medical personnel. Health policy programs can also play an important role in this respect. These programs may include specialist trainings for medical personnel as well as implementation of activities directed directly to patients [34].
Similarly, in the study conducted on 220 patients with various cancers: stomach cancer, cancer of reproductive organs, pancreatic cancer, colorectal cancer and prostate cancer, similar dependencies were indicated – the higher the acceptance of the illness, the higher the intensity of fighting spirit and the lower the intensity of anxiety and helplessness/hopelessness [29]. In the study conducted on patients with colorectal patients, education significantly affects the results obtained in terms of anxiety, helplessness/hopelessness and the destructive style [28]. In our study conducted on patients with pancreatic cancer, education positively correlated with the strategy of positive re-evaluation. Among patients with pancreatic cancer in the study conducted by Kozak G., it was also observed that the older the patients, the lower the intensity of anxiety and helplessness/hopelessness [29]. A similar relationship in this group of patients was also described by Juczyński Z., although our study does not confirm this dependency. Numerous studies indicate that a typical method to cope with the illness among patients with pancreatic cancer is the application of defense mechanisms – repression and denial. According to Bahnson C. et al., repression and denial play a key role in the development of cancer, including pancreatic cancer [35, 36].
As authors, we are aware of the imitations of our research. First of all, we know that our sample of patients is small. The study took place in an outpatient clinic, and we recruited as many patients as possible. However, we know that extending the study to include hospitalized patients would bring more accurate results. We believe that this is the direction of further research. Additionally, despite identifying the benefits of some psychological strategies, we recognize that our research only shows the course of action. It is not possible to force a patient to adopt any disease strategy. This attitude must result from their internal needs and beliefs. However, the skillful help of a psychologist can help patients fight the disease so that the patient experiences the highest possible quality of life.
Patients with pancreatic cancer assign the greatest role in the locus of pain control to internal factors.
Dominant strategies for coping with pain by the studied patients involve praying/hoping and declaring coping, especially in the group of women, the elderly, and pensioners and people who have not undergone chemotherapy in the last year.
Patients suffering from pancreatic cancer have a relatively low level of acceptance of their illness, and this result is not dependent on the socio-economic variables studied.
Patients with pancreatic cancer usually have a constructive style of coping with the illness, although anxiety and helplessness/hopelessness in the case of these patients also obtain rather high values.
The study of patients’ quality of life, including the level of acceptance of the illness or styles of coping with the illness is particularly important among people with pancreatic cancer. These studies should become one of the elements of comprehensive oncological care, in which the process of treating patients should also include psychological care.
None declared.
Table 1 presents descriptive statistics for the analyzed variables, i.e. mean values, standard deviations as well as minimum and maximum results. The list was also supplemented with the values of the Kolmogorov-Smirnov test verifying the assumption about the normality of the distribution of the analyzed variables and the values of skewness and kurtosis measures.
No statistically significant deviations from the normal distribution were obtained.
Based on the results of the analysis of variance with repeated measures, it was found that there were statistically significant differences between the intensity of individual pain coping strategies, F (3.71; 166.97) = 9.33, p < 0.001, η2 = 0.17. Figure 3 shows the mean values of the intensity of the analyzed strategies along with the confidence intervals determined based on the Bonferroni correction.
The mean values of the intensity of the analyzed strategies with confidence intervals determined based on the Bonferroni correction.
It was found that praying/hoping was a strategy used more often than reevaluating pain sensations and ignoring sensations. Re-evaluation of pain sensations was a less frequently used strategy than distraction and catastrophizing.
Table 2 presents the mean values of the intensity of coping strategies in the group of women and men. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
There was a statistically significant difference in the prayer/hope strategy.
Table 3 shows the Pearson r correlation coefficients between the age of the respondents and the coping strategies. Statistically significant correlations were marked.
Statistically significant positive correlations were found between the age of the respondents and praying/hoping and increased behavioral activity.
Table 4 shows the mean values of the strategies of coping with pain in the group of people with primary or vocational education, in the group of people with secondary education and in the group of people with higher education. The summary was supplemented with the values of one-way analysis of variance.
No statistically significant differences were obtained.
Table 5 shows the average values of pain coping strategies in the group of people living in towns with a population of up to 100,000 and in the group of people living in towns with more than 100,000 inhabitants. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
There were no statistically significant differences.
Table 6 shows the average values of the pain coping strategies in the group of people with the average monthly net income per family member up to PLN 1,500 and in the group of people with the average monthly net income per family member above PLN 1,500. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
Average monthly net income | |||||||
---|---|---|---|---|---|---|---|
up to PLN 1,500 | over 1500 zlotys | ||||||
Variable | |||||||
Distraction | 19.09 | 8.84 | 19.43 | 7.27 | −0.15 | 44 | 0.885 |
Re-evaluation of pain sensations | 12.83 | 8.89 | 13.87 | 9.75 | −0.38 | 44 | 0.706 |
Catastrophizing | 18.22 | 8.13 | 18.57 | 7.32 | −0.15 | 44 | 0.879 |
Ignoring sensations | 12.91 | 8.33 | 16.96 | 10.07 | −1.48 | 44 | 0.145 |
Praying/Hope | 24.17 | 7.99 | 20.48 | 7.43 | 1.62 | 44 | 0.111 |
Declaring coping | 18.87 | 6.88 | 20.78 | 9.15 | −0.80 | 44 | 0.427 |
Increased behavioral activity | 18.83 | 8.32 | 20.52 | 8.96 | −0.66 | 44 | 0.510 |
Average values of the pain coping strategy in the group of people with an average monthly net income per family member up to PLN 1,500 and in the group of people with an average monthly net income per family member above PLN 1,500.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
There were no statistically significant differences.
Table 7 presents the mean values of the strategies of coping with pain in the group of working people and in the group of retirees and pensioners. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Professional status | |||||||
---|---|---|---|---|---|---|---|
working | retirees/pensioners | ||||||
Variable | |||||||
Distraction | 17.50 | 7.69 | 20.96 | 7.92 | −1.45 | 41 | 0.155 |
Re-evaluation of pain sensations | 12.80 | 8.32 | 12.96 | 10.35 | −0.05 | 41 | 0.957 |
Catastrophizing | 17.65 | 6.12 | 18.43 | 8.76 | −0.34 | 41 | 0.739 |
Ignoring sensations | 15.20 | 7.70 | 14.43 | 10.94 | 0.26 | 41 | 0.795 |
Declaring coping | 20.30 | 7.44 | 19.87 | 8.95 | 0.17 | 41 | 0.866 |
Increased behavioral activity | 17.20 | 6.69 | 21.65 | 9.45 | −1.76 | 41 | 0.086 |
Average values of strategies for coping with pain in the group of working people and in the group of retirees and pensioners.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was obtained in terms of praying/hoping.
Table 8 shows the mean values of the strategies of coping with pain in the group of patients with diagnosed metastases and in the group of patients without metastases. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
Known metastases | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Distraction | 18.35 | 7.24 | 21.43 | 8.09 | −1.33 | 42 | 0.190 |
Re-evaluation of pain sensations | 12.04 | 8.17 | 15.71 | 10.00 | −1.34 | 42 | 0.188 |
Ignoring sensations | 15.04 | 9.25 | 15.67 | 9.64 | −0.22 | 42 | 0.828 |
Praying/Hope | 20.87 | 7.14 | 24.76 | 8.02 | −1.70 | 42 | 0.096 |
Increased behavioral activity | 18.96 | 7.97 | 21.48 | 8.99 | −0.99 | 42 | 0.330 |
Mean values of strategies of coping with pain in the group of people with diagnosed metastases and in the group of people without metastases.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
Statistically significant intergroup differences in catastrophizing and declaring coping were obtained.
Table 9 shows the mean values of the pain coping strategies in the group of people who were undergoing chemotherapy and those who were not undergoing chemotherapy. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
Chemotherapeutic treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Distraction | 18.96 | 6.43 | 19.62 | 9.71 | −0.28 | 44 | 0.784 |
Re-evaluation of pain sensations | 12.08 | 8.16 | 14.86 | 10.38 | −1.02 | 44 | 0.315 |
Catastrophizing | 19.72 | 8.12 | 16.81 | 6.90 | 1.30 | 44 | 0.202 |
Ignoring sensations | 14.40 | 9.10 | 15.57 | 9.86 | −0.42 | 44 | 0.677 |
Declaring coping | 18.32 | 6.43 | 21.62 | 9.51 | −1.35 | 34.12 | 0.185 |
Increased behavioral activity | 18.64 | 7.07 | 20.90 | 10.16 | −0.89 | 44 | 0.379 |
Average values of the strategies of coping with pain in the group of people who were undergoing chemotherapy treatment and in the group of people who were not undergoing chemotherapy.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
The mean value of the level of praying/hoping was statistically significantly lower in the group of people who were undergoing chemotherapy treatment than in the group of people who were not undergoing chemotherapy.
Table 10 presents the mean values of the pain coping strategies in the group of people who were treated with radiotherapy and in the group of people who were not treated with radiotherapy. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
Treatment with radiation therapy | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Distraction | 20.07 | 7.41 | 18.87 | 8.37 | 0.47 | 44 | 0.640 |
Re-evaluation of pain sensations | 15.87 | 5.63 | 12.13 | 10.42 | 1.58 | 43.33 | 0.122 |
Catastrophizing | 18.07 | 6.84 | 18.55 | 8.12 | −0.20 | 44 | 0.844 |
Praying/Hope | 21.80 | 6.14 | 22.58 | 8.64 | −0.35 | 37.58 | 0.727 |
Declaring coping | 21.27 | 5.87 | 19.13 | 8.93 | 0.97 | 39.68 | 0.339 |
Increased behavioral activity | 20.80 | 6.35 | 19.13 | 9.54 | 0.70 | 39.37 | 0.485 |
Average values of the strategies of coping with pain in the group of people who were treated with radiotherapy and in the group of people who were not treated with radiotherapy.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was obtained in the level of ignoring sensations.
Table 11 shows the mean values of the strategies of coping with pain in the group of people who were undergoing targeted therapy and in the group of people who were not undergoing targeted therapy. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
Targeted treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Distraction | 19.50 | 4.30 | 19.19 | 8.81 | 0.15 | 31.27 | 0.880 |
Catastrophizing | 20.30 | 4.27 | 17.86 | 8.32 | 0.89 | 44 | 0.378 |
Praying/Hope | 21.60 | 6.10 | 22.53 | 8.34 | −0.33 | 44 | 0.745 |
Declaring coping | 24.20 | 6.76 | 18.61 | 8.05 | 2.00 | 44 | 0.051 |
Increased behavioral activity | 21.70 | 3.43 | 19.11 | 9.51 | 1.35 | 40.70 | 0.185 |
Mean values of the strategies of coping with pain in the group of people who were undergoing targeted therapy and in the group of people who were not undergoing targeted therapy.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
Statistically significant differences between groups were obtained in terms of re-evaluation of pain sensations and of ignoring sensations.
Based on the results of the analysis of variance with repeated measurements, it was found that there were also statistically significant differences between the intensity of individual indicators of mental adaptation to cancer, F (1.54; 69.45) = 9.37, p < 0.01, η2 = 0.17. Figure 4 shows the mean values of the intensity of the analyzed fitness indices together with the confidence intervals determined based on the Bonferroni correction.
The mean values of the indicators of mental adaptation to neoplastic disease with confidence intervals determined based on the Bonferroni correction.
It was found that the mean values of the fighting spirit and positive re-evaluation were statistically significantly higher than the mean value of the helplessness-hopelessness index.
Table 12 presents the mean values of the mental adjustment indices in the group of women and in the group of men. The list was supplemented with the values of the Student’s two-sided t-test for independent samples.
Women | Men | ||||||
---|---|---|---|---|---|---|---|
Variable | |||||||
Anxiety preoccupation | 18.88 | 3.72 | 17.68 | 5.64 | 0.84 | 35.88 | 0.407 |
Fighting spirit | 19.96 | 4.53 | 19.64 | 3.13 | 0.28 | 44 | 0.782 |
Helplessness-hopelessness | 16.08 | 3.89 | 15.64 | 5.28 | 0.33 | 44 | 0.744 |
Average values of mental adjustment indicators in the group of women and in the group of men.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
There was a statistically significant difference in terms of the positive re-evaluation strategy.
Table 13 shows the Pearson r correlation coefficients between the age of the respondents and the psychological adjustment indices. Statistically significant correlations were marked.
Variables | Age |
---|---|
Anxiety preoccupation | −0.022 |
Fighting spirit | 0.429* |
Helplessness-hopelessness | −0.195 |
Positive reevaluation | 0.550* |
Pearson’s r correlation coefficients between the age of the respondents and the indicators of mental adjustment.
*p < 0.01.
Statistically significant positive correlations were obtained between the age of the respondents and the fighting spirit index and a positive re-evaluation.
Table 14 shows the average values of the adaptation rates in the group of people with primary or vocational education, in the group of people with secondary education and in the group of people with higher education. The summary was supplemented with the values of one-way analysis of variance.
Education | ||||||||
---|---|---|---|---|---|---|---|---|
basic/valve | medium | higher | ||||||
Variable | ||||||||
Anxiety preoccupation | 18.31 | 4.39 | 18.71 | 5.50 | 17.94 | 4.60 | 0.10 | 0.908 |
Fighting spirit | 21.50 | 3.33 | 18.86 | 4.88 | 18.94 | 2.98 | 2.49 | 0.095 |
Helplessness-hopelessness | 15.50 | 4.75 | 15.71 | 5.04 | 16.38 | 4.16 | 0.15 | 0.859 |
Positive reevaluation | 21.00 | 2.58 | 21.93 | 3.20 | 17.50 | 3.69 | 8.26 | 0.001 |
Average values of the adaptation indicators in the group of people with primary or vocational education, in the group of people with secondary education and in the group of people with higher education.
M.- average value; SD - standard deviation; F - value of the one-way analysis of variance; p - statistical significance.
Statistically significant differences were obtained in terms of a positive re-evaluation. On the basis of Gabriel’s post-hoc test, it was found that statistically significant differences existed between people with higher education and people with primary or vocational education, p < 0.05, and people with secondary education, p < 0.01.
Table 15 shows the average values of the adaptation indicators in the group of people living in towns with a population of up to 100,000 and in the group of people living in towns with more than 100,000 inhabitants. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
The number of residents | |||||||
---|---|---|---|---|---|---|---|
up to 100,000 | over 100 thousand | ||||||
Variable | |||||||
Anxiety preoccupation | 17.81 | 4.70 | 18.95 | 4.80 | −0.81 | 44 | 0.422 |
Fighting spirit | 19.96 | 3.75 | 19.60 | 4.15 | 0.31 | 44 | 0.758 |
Helplessness-hopelessness | 14.81 | 4.20 | 17.25 | 4.74 | −1.85 | 44 | 0.071 |
Positive reevaluation | 20.81 | 3.07 | 19.10 | 4.20 | 1.59 | 44 | 0.118 |
Average values of adaptation indicators in the group of people living in towns with a population of up to 100,000 and in the group of people living in towns with more than 100,000 inhabitants.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
There were no statistically significant differences.
Table 16 shows the average values of the adaptation rates in the group of people with an average monthly net income per family member of up to PLN 1,500 and in the group of people with an average monthly net income per family member above PLN 1,500. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Average monthly net income | |||||||
---|---|---|---|---|---|---|---|
up to PLN 1,500 | over 1500 zlotys | ||||||
Variable | |||||||
Anxiety preoccupation | 17.70 | 4.77 | 18.91 | 4.70 | −0.87 | 44 | 0.388 |
Fighting spirit | 20.13 | 3.42 | 19.48 | 4.36 | 0.56 | 44 | 0.575 |
Helplessness-hopelessness | 15.17 | 4.75 | 16.57 | 4.35 | −1.04 | 44 | 0.306 |
Average values of adaptation indicators in the group of people with an average monthly net income per family member up to PLN 1,500 and in the group of people with an average monthly net income per family member above PLN 1,500.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was obtained in terms of a positive re-evaluation.
Table 17 shows the average values of the adaptation indicators in the group of working people and in the group of retirees and pensioners. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Professional status | |||||||
---|---|---|---|---|---|---|---|
working | retirees/pensioners | ||||||
Variable | |||||||
Anxiety preoccupation | 17.95 | 5.17 | 18.57 | 4.67 | −0.41 | 41 | 0.684 |
Fighting spirit | 19.30 | 2.79 | 20.65 | 4.65 | −1.13 | 41 | 0.263 |
Helplessness-hopelessness | 16.45 | 4.84 | 15.39 | 4.42 | 0.75 | 41 | 0.458 |
Average values of adaptation indicators in the group of working people and in the group of retirees and disability pensioners.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was obtained in terms of a positive re-evaluation.
Table 18 presents the mean values of the adaptation indices in the group of people with diagnosed metastases and in the group of people with no diagnosis of metastases. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Known metastases | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Anxiety preoccupation | 18.52 | 4.10 | 17.67 | 5.14 | 0.61 | 42 | 0.543 |
Helplessness-hopelessness | 16.57 | 3.95 | 14.76 | 4.71 | 1.38 | 42 | 0.175 |
Positive reevaluation | 19.39 | 3.30 | 21.33 | 3.51 | −1.89 | 42 | 0.066 |
Average values of the adaptation indices in the group of people with diagnosed metastases and in the group of people without metastases.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was obtained in terms of the fighting spirit index.
Table 19 shows the mean values of the adaptation indices in the group of people who were undergoing chemotherapeutic treatment and in the group of people who were not undergoing chemotherapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Chemotherapeutic treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Anxiety preoccupation | 18.44 | 4.62 | 18.14 | 4.95 | 0.21 | 44 | 0.834 |
Fighting spirit | 18.96 | 3.22 | 20.81 | 4.42 | −1.64 | 44 | 0.109 |
Helplessness-hopelessness | 16.44 | 4.41 | 15.19 | 4.75 | 0.92 | 44 | 0.360 |
Positive reevaluation | 19.16 | 3.25 | 21.14 | 3.92 | −1.88 | 44 | 0.067 |
Average values of adaptation indices in the group of people who were undergoing chemotherapy treatment and in the group of people who were not undergoing chemotherapeutic treatment.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
No statistically significant differences were found.
Table 20 shows the mean values of the adaptation indices in the group of people who were undergoing chemotherapy treatment and in the group of people who were not undergoing chemotherapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Chemotherapeutic treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Anxiety preoccupation | 18.44 | 4.62 | 18.14 | 4.95 | 0.21 | 44 | 0.834 |
Fighting spirit | 18.96 | 3.22 | 20.81 | 4.42 | −1.64 | 44 | 0.109 |
Helplessness-hopelessness | 16.44 | 4.41 | 15.19 | 4.75 | 0.92 | 44 | 0.360 |
Positive reevaluation | 19.16 | 3.25 | 21.14 | 3.92 | −1.88 | 44 | 0.067 |
Average values of adaptation indices in the group of people who were undergoing chemotherapy treatment and in the group of people who were not undergoing chemotherapeutic treatment.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
There were no statistically significant differences.
Table 21 presents the mean values of the adaptation indices in the group of people who were treated with radiotherapy and in the group of people who were not treated with radiotherapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Treatment with radiation therapy | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Anxiety preoccupation | 17.73 | 4.62 | 18.58 | 4.82 | −0.57 | 44 | 0.574 |
Fighting spirit | 18.80 | 4.31 | 20.29 | 3.63 | −1.23 | 44 | 0.227 |
Helplessness-hopelessness | 15.33 | 3.68 | 16.13 | 4.96 | −0.61 | 36.38 | 0.545 |
Average values of adaptation indicators in the group of people who were treated with radiotherapy and in the group of people who were not treated with radiotherapy.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was obtained in terms of a positive re-evaluation.
Table 22 presents the mean values of the adaptation indices in the group of people who were under targeted treatment and in the group of people who were not under targeted therapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Targeted treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Anxiety preoccupation | 18.00 | 3.16 | 18.39 | 5.11 | −0.23 | 44 | 0.821 |
Fighting spirit | 19.60 | 3.37 | 19.86 | 4.06 | −0.19 | 44 | 0.853 |
Helplessness-hopelessness | 17.20 | 2.66 | 15.50 | 4.93 | 1.45 | 27.84 | 0.159 |
Positive reevaluation | 18.10 | 3.31 | 20.61 | 3.61 | −1.98 | 44 | 0.054 |
Average values of adaptation indices in the group of people who were under targeted treatment and in the group of people who were not under targeted treatment.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
No statistically significant intergroup differences were obtained.
The mean value of disease acceptance in the group of women was 22.54 with the standard deviation of 7.39, which was close to the mean value in the group of men, which was 23.77 with the standard deviation of 8.43. Based on the value of the Student’s t-test for independent samples, it was found that the difference obtained was statistically insignificant, t (44) = − 0.53, p > 0.05.
The disease acceptance did not correlate statistically with the age of the patients, r (44) = 0.03, p > 0.05.
The mean value of disease acceptance in the group of people with primary or vocational education was 22.08 with the standard deviation equal to 8.07, in the group with secondary education it was 23.43 with the standard deviation equal to 10.00, and in the group with higher education it was 23, 13 with a standard deviation of 5.69. Based on the value of the one-way analysis of variance, it was found that the obtained differences were statistically insignificant, F (2.43) = 0.02, p > 0.05.
The mean value of disease acceptance in the group of people living in towns with a population of up to 100,000 was 23.12 with a standard deviation of 7.45 and was close to the average value obtained in the group of people who lived in towns with more than 100,000 inhabitants, 23, 15 with a standard deviation of 8.51. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was statistically insignificant, t (44) = − 0.01, p > 0.05.
The mean value of disease acceptance in the group of people with a net income of up to PLN 1,500 was 23.61 with a standard deviation of 8.65 and was close to the average value obtained in the group of people with income above PLN 1,500, which was 22.65 with a standard deviation of 7, 09. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was statistically insignificant, t (44) = − 0.41, p > 0.05.
The mean value of disease acceptance in the working group was 24.85 with a standard deviation of 7.05 and was close to the mean value in the group of retirees and disability pensioners of 21.52 with a standard deviation of 8.70. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was statistically insignificant, t (41) = 1.37, p > 0.05.
The mean value of disease acceptance in the group of people diagnosed with metastases was 21.70 with a standard deviation of 6.00 and was close to the mean value of 25.05 in the group of non-metastatic patients with a standard deviation of 8.83. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was statistically insignificant, t (34.78) = − 1.46, p > 0.05.
The mean disease acceptance value in the group of people who were on chemotherapy treatment was 22.84 with a standard deviation of 7.98, which was close to the mean value for the group of people who were not on chemotherapy treatment of 23.48 with a standard deviation of 7, 85. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was statistically insignificant, t (44) = − 0.27, p > 0.05.
The mean disease acceptance value in the group of people who received radiotherapy was 24.87 with a standard deviation of 5.68 and was close to the mean value in the group of people who did not receive radiotherapy was 22.29 with a standard deviation of 8, 65. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was not statistically significant, t (39.27) = 1.21, p > 0.05.
The mean disease acceptance value in the group of people who were on targeted treatment was 25.70 with a standard deviation of 3.86 and was close to the mean value in the group of people who did not receive targeted therapy was 22.42 with a standard deviation of 8, 53. Based on the value of the Student’s t-test for independent samples, it was found that the obtained difference was statistically insignificant, t (33.93) = 1.75, p > 0.05.
Table 23 shows the mean values of pain control dimensions in the men and women groups. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Women | Men | ||||||
---|---|---|---|---|---|---|---|
Variable | |||||||
The influence of doctors | 17.21 | 3.82 | 15.82 | 4.57 | 1.12 | 44 | 0.268 |
Random events | 15.63 | 4.25 | 14.00 | 3.87 | 1.35 | 44 | 0.183 |
Mean values of pain control dimensions in the group of women and the group of men.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
There was a statistically significant difference in the internal locus of pain control.
Table 24 shows the Pearson r correlation coefficients between the age of the subjects and the dimensions of pain control.
The site of pain control | Age |
---|---|
Inside | −0.009 |
The influence of doctors | −0.022 |
Random events | 0.186 |
Pearson’s r correlation coefficients between the age of the subjects and the dimensions of pain control.
No statistically significant correlations were obtained.
Table 25 shows the mean values of pain control dimensions in the group of people with primary or vocational education, in the group of people with secondary education, and in the group of people with higher education. The summary was supplemented with the values of one-way analysis of variance.
Education | ||||||||
---|---|---|---|---|---|---|---|---|
basic/valve | medium | higher | ||||||
Variable | ||||||||
Inside | 16.13 | 5.49 | 17.71 | 6.65 | 16.81 | 5.06 | 0.29 | 0.751 |
The influence of doctors | 14.81 | 5.47 | 17.57 | 3.39 | 17.38 | 2.90 | 2.19 | 0.124 |
Random events | 14.63 | 4.51 | 14.36 | 4.48 | 15.50 | 3.48 | 0.31 | 0.732 |
Mean values of pain control dimensions in the group of people with primary or vocational education, in the group of people with secondary education and in the group of people with higher education.
M.- average value; SD - standard deviation; F - value of the one-way analysis of variance; p - statistical significance.
No statistically significant differences were obtained.
Table 26 shows the mean values of pain control dimensions in the group of people living in towns with a population of up to 100,000 and in the group of people living in towns with more than 100,000 inhabitants. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
The number of residents | |||||||
---|---|---|---|---|---|---|---|
up to 100,000 | over 100 thousand | ||||||
Variable | |||||||
Inside | 17.15 | 5.45 | 16.45 | 6.00 | 0.42 | 44 | 0.679 |
The influence of doctors | 16.27 | 4.61 | 16.90 | 3.71 | −0.50 | 44 | 0.620 |
Random events | 15.19 | 4.68 | 14.40 | 3.28 | 0.64 | 44 | 0.523 |
Average values of pain control dimensions in the group of people living in towns with a population of up to 100,000 and in the group of people living in towns with more than 100,000 inhabitants.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
There were no statistically significant differences.
Table 27 shows the mean values of pain control dimensions in the group of people with an average monthly net income per family member of up to PLN 1,500 and in the group of people with an average monthly net income per family member above PLN 1,500. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Average monthly net income | |||||||
---|---|---|---|---|---|---|---|
up to PLN 1,500 | over 1500 zlotys | ||||||
Variable | |||||||
Inside | 16.43 | 5.86 | 17.26 | 5.50 | −0.49 | 44 | 0.625 |
The influence of doctors | 16.30 | 4.12 | 16.78 | 4.38 | −0.38 | 44 | 0.705 |
Average values of pain control dimensions in the group of people with an average monthly net income per family member up to PLN 1,500 and in the group of people with an average monthly net income per family member above PLN 1,500.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant difference was found in the location of pain control in random events.
Table 28 shows the mean values of pain control dimensions in the working group and in the group of retirees and pensioners. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Professional status | |||||||
---|---|---|---|---|---|---|---|
working | retirees/pensioners | ||||||
Variable | |||||||
Inside | 15.95 | 4.47 | 17.04 | 6.58 | −0.63 | 41 | 0.534 |
The influence of doctors | 16.65 | 3.59 | 16.61 | 4.93 | 0.03 | 41 | 0.975 |
Random events | 14.30 | 3.76 | 15.39 | 4.44 | −0.86 | 41 | 0.393 |
Mean values of pain control dimensions in the working group and in the group of retirees and pensioners.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
No statistically significant differences were obtained.
Table 29 shows the mean values of the dimensions of pain control in the group of patients with diagnosed metastases and in the group of individuals without diagnosis. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Known metastases | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Inside | 16.39 | 5.19 | 17.38 | 5.84 | −0.60 | 42 | 0.555 |
The influence of doctors | 16.52 | 4.28 | 16.14 | 4.17 | 0.30 | 42 | 0.768 |
Random events | 14.87 | 3.51 | 14.90 | 4.85 | −0.03 | 42 | 0.978 |
Mean values of pain control dimensions in the group of people who have not been diagnosed with metastases.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
No statistically significant differences were obtained.
Table 30 shows the mean values of the dimensions of pain control in the group of subjects who received chemotherapy and the group of subjects who were not receiving chemotherapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Chemotherapeutic treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Inside | 17.24 | 4.85 | 16.38 | 6.55 | 0.51 | 44 | 0.612 |
The influence of doctors | 15.92 | 4.21 | 17.29 | 4.19 | −1.10 | 44 | 0.278 |
Random events | 13.80 | 2.50 | 16.10 | 5.24 | −1.84 | 27.532 | 0.077 |
Mean values of pain control dimensions in the group of people who were undergoing chemotherapy treatment and in the group of people who were not undergoing chemotherapy treatment.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
No statistically significant differences were obtained.
Table 31 shows the mean values of the dimensions of pain control in the group of people who were treated with radiotherapy and in the group who were not treated with radiation therapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Treatment with radiation therapy | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Inside | 16.53 | 3.78 | 17.00 | 6.40 | −0.26 | 44 | 0.796 |
Random events | 14.20 | 2.76 | 15.16 | 4.63 | −0.88 | 41.90 | 0.385 |
Mean values of the dimensions of pain control in the group of people who were treated with radiotherapy and in the group of people who were not treated with radiotherapy.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
A statistically significant intergroup difference was obtained in the location of pain control in the influence of doctors.
Table 32 shows the mean values of the dimensions of pain control in the group of people who were on targeted therapy and in the group of people who were not on targeted therapy. The list was supplemented with the values of Student’s two-sided t-test for independent samples.
Targeted treatment | |||||||
---|---|---|---|---|---|---|---|
Yes | no | ||||||
Variable | |||||||
Inside | 16.80 | 4.44 | 16.86 | 5.98 | −0.03 | 44 | 0.976 |
The influence of doctors | 15.00 | 2.36 | 16.97 | 4.53 | −1.86 | 29.04 | 0.073 |
Random events | 14.60 | 3.81 | 14.92 | 4.24 | −0.21 | 44 | 0.832 |
Mean values of pain control dimensions in the group of people who were undergoing targeted treatment and in the group of people who were not undergoing targeted therapy.
M.- average value; SD - standard deviation; t - value of the Student’s t-test; df - the number of degrees of freedom; p - statistical significance.
No statistically significant differences were obtained.
Ethics Committee of the Medical University of Warsaw approved this study.
Due to the scope of the data, we obtained verbal informed consent.
Climate change including extreme weather and other associated events are representing challenges to agriculture of developing countries and global food security [1]. Crop production is very sensitive towards climate change. This is influenced by long-term trends in precipitation and average temperature, inter-annual climate variability, shocks in certain developmental stages and extreme weather events. Some plants are more tolerant towards certain types of stresses than others, and at each developmental stage, different types of stresses affect different plant species in different ways [2].
By 2050, it is expected that another 2.4 billion people be added to the population of developing countries of the world. Agriculture in developing countries is a key source of employment, but at present more than 20% of the population falls on an average, in the category of food-insecurity [3]. About 75% of the world’s poor population is residing in the rural areas, and again agriculture is their ultimate source of earning [4]. Enhancing agricultural productivity and incomes in the small-scale production sector is very important to mitigate poverty and achieve food security, as a key component and driver of economic transformation and development, and within the wider perspective of urbanization and advances in the non-farm sector. It is estimated that globally by 2050, agriculture sector must have to expand by 60% to meet the increasing demand due to continuously increasing human population, and it can only be possible by increasing crop productivity under climate change [5].
Change in temperature can occur in different forms like fluctuation in overall average temperature, changes in the day and night temperatures, or changes in time, duration and intensity of extreme cold or hot weather. Generally, plants have been more vulnerable to the elevated temperature during the reproduction as well as grain filling or ripening stages. Response of plants to increasing temperature is species specific and facilitated by photosynthetic activity for the accumulation of plant biomass which control the plant growth, as well as managed by all changes in plant morphology and physiology that occur during all day. All kind of temperature stresses have their different impacts on harvesting time as well as on productivity of the crops. The impact of stress depends upon the sensitivity of every particular species to its developmental stage to the fluctuation in temperature. A different kind of response mechanism is needed to adapt for these effects. Increase in temperature during the growing season of plants caused a high respiration rate which means a low amount of energy left for support and growth of plant. Even an increase of 1 °C in average temperature can cause the reduction of 5-10% in major food crops [6].
Climate Smart Agriculture (CSA) is an approach in which technological, strategic and investment conditions are developed to reach sustainable agricultural development for food security under climate change. The extent to which climate change is affecting agricultural systems necessitates ensuring comprehensive consolidation of these effects into national agricultural planning, investments and programs (Figure 1). CSA is transforming and reorienting sustainable agricultural systems to support food security under the new realities of climate change [8].
Climate smart agriculture [
CSA is striving to increase agricultural productivity in terms of climate smart crops, food security, and farmers’ adaptive capacity and lowering greenhouse gas emissions as well [9]. The main objectives of CSA are given below:
Sustainable increase of Food Security by agricultural productivity
Building resilience and adapting to climate change
Developing opportunities for reducing greenhouse gas emissions
Agriculture is most important income source of around 75% of the world’s poor living in rural areas. To improve the livelihood of this population, growth in the agricultural sector is highly effective that will increase food security in countries with a high percentage of the population dependent on agriculture [10]. Increasing productivity as well as reducing costs is important means of attaining agricultural growth which is possible through increased resource-use efficiency. “Yield gaps “is the difference between the yields that farmers obtain from their farms and the maximum yield potentials of that cultivar and such yield gaps are quite substantial for small farmers in developing countries [11]. Similar is the case with livestock productivity. Reducing these gaps by enhancing the productivity and efficiency of soil, fertilizer, water, livestock feed and other agricultural inputs, much higher returns can be obtained from this sector which in turn will reduce poverty and increase food availability. These same measures can often result in lower greenhouse gas emissions compared with past trends.
In the recent 5th assessment report by the Intergovernmental Panel on Climate Change (IPCC), it has been revealed that the impacts of climatic changes have been observed in different regions of the world. Results showed that drastic impacts of climate changes were more often as compare to the positive ones and underdeveloped countries have shown more vulnerability for the further negative effects of changing climate on agriculture [12]. In medium to long term, when average as well seasonal maximum temperature continuously increase, it led to a high average of rainfall, but these impacts are not distributed evenly as globally wet regions and seasons have higher rainfall as compare to the dry regions and seasons [13]. An increased frequency and intensity of extreme events like drought, high temperature, high rainfall and subsequent floods, have already been observed. Exposure of these increased climatic risks have already been observed in the different parts of the world, these risks put significant threat to potential for increased food security as well as reducing the poverty among the agriculture dependent populations having low-income. Formulation and implementation of effective adaptation strategies required to reduce and even to avoid these drastic impacts of climate change. According to the site-specific impacts of climate change, accompanied with a wide range of agro ecologic variations and farming, fishery system, and livestock, an effective adaption strategy will vary even with in country. For starting the development of an effective site-specific adaptation strategy, multiple potential measures have been identified already. These effect measures include enhancement of reliance of agro-ecosystems, through enhancing the ecosystem services by using landscape approaches as well as principles of agro ecology. Decreasing the risk exposure by building an input supply system, using the diversification of incomes or production, and by extension services for timely and efficient use of inputs, use of stress resistant or tolerant varieties, livestock breeds, use of forestry species and fishes, are some of the examples of that can be used to increase resilience.
Agriculture as well as has land use changes become a major source of greenhouse gas emissions, almost a quarter of overall anthropogenic GHG emissions has been produced from agriculture sector. Agriculture mainly contributes in GHS emissions through crop and livestock sectors, also it is the major factor of increasing deforestation as well as degradation of peat land. Under the business-as-usual growth of agriculture, non-CO2 emissions of agriculture sector are expected to increase. But there are multiple ways to reduce the emission of these gases from agricultural sector. Sustainable intensification is one of the main strategies of agricultural mitigation can reduce the emission intensity (e.g. the CO2 eq/unit product) of these gases. But this process includes the application of new techniques that can increase the efficacy of inputs used so that agricultural outputs increased more as compare to the emission increase [14]. Another significant pathway to reduce the emission is high carbon sequestration rate from agriculture sector. Plants as well as soils have ability to remove the carbon dioxide from the atmosphere and store into their biomass, this phenomenon is called carbon sequestration. Carbon sequestration can be performed through increased tree cover in livestock and in crop systems (e.g. Agroforestry) and by reducing the soil disturbance (e.g. reduced tillage). Still this kind of emission reduction might not be permanent as stored CO2 can be released if trees are cut or soil plowed. In spite of following challenges, high carbon sequestration has a significant potential of mitigation, particularly when the agricultural practices which generates the sequestration have also been important role in adaptation of food security. CSA pathways based on impact of climate change on agriculture are given in Figure 2.
CSA agriculture pathways [
Climate change effects on crop production have shown to have a strong and consistent global trend, which may have implications for food supply. Because of short-term supply fluctuations, the reliability of whole food systems could be jeopardized because of climate change. At regional scales, however, the potential effect is less obvious, but climate instability and transition are likely to intensify food insecurity in areas that are already vulnerable to hunger and malnutrition. Similarly, it is expected that food access and use will be influenced indirectly by collateral effects on household and individual incomes, and that food consumption will be hampered by a lack of access to drinking water and health problems. The evidence suggests that significant investment in adaptation and mitigation measures is needed to create a "climate-smart food system" that is more resilient to the effects of climate change on food security [16]. Food chain from pre-production to consumption has been elaborated in Figure 3.
Food chain from pre-production to consumption.
Due to climatic changes overall crop production system has affected, ultimately causing a challenge to global food security. But the more severe impact of these changes has been observed in underdeveloped countries. Over the next decade it is predicted that billions of people, particularly from underdeveloped countries may encountered with water as well as food scarcity, accompanied with a high risk to the life and health due to climate changes. Developing countries are more prone to the changing climatic conditions as these countries lack in social, financial as well as technological resources, which required facing the climate change [17].
Environmental conditions always cast an impact on either the succession or failure of crops, while the management of stresses caused due to these changes has been part of multidisciplinary studies. Global crop production system has shown continuous susceptibility to the risks of changing climatic conditions. Now farmers have been facing severe challenges than the normally experienced, due to changing climatic conditions. Global climatic conditions became extreme like, warmer temperatures, increased coastal waters, heavy precipitation, and geographical shifts in drought as well as storm patterns [18].
It is estimated that climatic changes may cause a considerable decrease in maize production in southern Africa. It may also cause up to 10% decrease in staple crops of south Asia, including rice while more than 10% decrease in millet and maize production [19]. With a slight increase of 1-3°C in the mean local temperature of some moderate- to high latitude areas, productivity may also be increased, depending on the crop. In contrasting, in areas of lower latitudes productivity of crop decreased with the even slightest change in relative temperature range [20].
Unpredictable seasonal as well annual, fluctuations have been observed in crop production system due to the abrupt outbreaks of disease and pest and other extreme events. This require an efficient adaptable management response towards these changing scenarios [21].
Agriculture crop production is facing a number of impacts due to climate change in the components of weather/climate such as temperature, precipitation, cyclones, sea level etc. (Table 1).
Event | Potential impact |
---|---|
Day and night temperature increased over most of the land areas as cold periods become shorter and warmer (virtually certain) | High yields in low temperature areas; while in high temperature areas yield reduces; increased outbreaks of different new insect pests as well as pathogens causing notable effect on crop production. |
High frequency of precipitation over most areas (very likely) | Crop damages; soil erosion; waterlogged soils making land unable for cultivation |
Increased drought affected areas (likely) | Soil erosion and degradation; reduced yields due to crop failure or damage; arable soil loss |
Increased tropical cyclone frequency (likely) | Crop damage |
Extremely increased level of sea water (excludes tsunami) (likely) | Saline irrigation water, fresh and estuaries water systems; arable land loss. |
Impacts of climate change on crop production [22].
Climate change, which includes high temperatures and drought, is projected to have a detrimental effect on plant agronomic conditions as well as soil nutrients, diseases, and pests. As a result, climate-resilient varieties with broad spectrum and long-term tolerance to both biotic and abiotic stresses are required. The new genetic engineering method for crop enhancement is precise genome editing [23]. Climate change has put a pressure on researcher, farmers and scientists working in the field of agriculture to adopt new technologies to cope with the prevailing issues (Figure 4). For targeted genome editing in plants, several techniques have been developed, including zinc finger nucleases (ZFNs), TAL effector proteins (TALENs), RNA directed nucleases (RGENs), and CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 (CRISPR associated protein 9. Both of these approaches depend on the creation of double stranded breaks at particular loci and the activation of the DNA repair system [24].
Impact of climate change on agriculture.
Crops with higher yields and greater resistance to abiotic stress are needed to meet the demands of a growing global population and the effect of climate change on agriculture. Traditional crop improvement through genetic recombination or random mutagenesis, on the other hand, is a time-consuming process that cannot keep up with rising crop demand. Genome editing techniques including clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (CRISPR/Cas) allow for selective alteration of almost any crop genome sequence to generate novel variation and speed up breeding efforts. We anticipate a gradual transition away from conventional breeding and toward selective genome editing cycles in crop improvement. Crop enhancement by genome editing is not limited by existing variation or the need to pick alleles through several breeding generations. However, the lack of full reference genomes, a lack of awareness of possible modification goals, and the legal status of edited crops restrict current crop genome editing applications. We believe that overcoming the technological and social barriers to genome editing’s implementation will allow this technology to produce a new generation of high-yielding, climate-ready crops [25]. At our lab, we are using different online platforms such as CHOPCHOP, CRISPR-P, MultiTargetor etc, and reagents provided by Addgene, Vectorbuilder, GeneCopoeia, Nootropics Frontline etc. for genome editing in crops.
Gene silencing is a method of down regulating (or ‘turning off’) specific genes via the over expression of RNA sequences (RNAi), which prevents a gene’s functional expression. Even though it has been available for many years, it is increasingly being used as a method for shutting off specific genes. Future food protection applications may involve shutting off pathogen attack receptors or stress response elements, which could be extremely useful in the face of climate change. Gene editing is a technique for making precise, targeted changes in genomes at a scale of one or a few nucleotides. Using clustered regularly interspaced short palindromic repeats (CRISPR) and the CAS9 nuclease, transcriptional activator-like effectors’ nucleases (TALEN), two alternative systems currently provide state-of-the-art protocols for achieving these small-scale genomic adjustments. Precise genomic modification using CRISPR has been likened to a ‘find and replace’ function [26]. To precision edit genomes, TALENS employs a nuclease system based on the fusion of transcription activator-like effectors with target DNA binding domains and an endonuclease cleavage domain. Variable DNA binding domain sequences, like CRISPR/CAS9, enable different genomic targets to be addressed. In rice and wheat, the TALENS system has been effective in conferring powdery mildew resistance [27].
To monitor plant responses or stimulate pathogen resistance, RNA spraying technology topically applies complex synthetic RNA to surfaces, such as plant leaves. RNA spraying technology is known to be under investigation by a number of agricultural biotechnology firms. Since there is no alteration to the plant genome, RNA spraying eliminates the need for genetic modification in such applications. Instead, plant cells take up the sprayed synthetic RNA, temporarily silencing specific genes before the effect wears off, which can take anywhere from a few days to three months [28].
The sustainable use of plant genetic resources can help in adapting and mitigating the effects of climate change.
The sustainable utilization of plant genetic assets includes evaluation of genetic traits; identification of desirable traits; plant breeding, including epigenomics; variations in crop production; advancement and commercialization of hybrids; sustainable seed production and supply chain system; and establishment of new business sectors for the distribution of local varieties and related products. These exercises can play a key role to address the effects of climate change on sustainable crop production.
The sustainable utilization of plant genetic assets includes evaluation of genetic traits; identification of desirable traits; plant breeding, including epigenomics; variations in crop production; advancement and commercialization of hybrids; sustainable seed production and supply chain system; and establishment of new business sectors for the distribution of local varieties and related products. These exercises can play a key role to address the effects of climate change on sustainable crop production.
In their local production environments, farmer varieties and landraces are well adapted to current conditions and proved to be a successful source for adaptive genes in crop improvement [29]. However, they may lose this adaptation in the changing climatic conditions [30]. It may not be a practical solution to introduce more suitable crop varieties from elsewhere [31]. For this purpose, the only viable solution may be the breeding of new varieties. More genetic vulnerability renders crop potentially more susceptible to the impact of climate change. By incorporating novel traits into cultivars, this genetic vulnerability may be reduced. These novel traits are often found in wild relatives of the crops [32]. Pre-breeding is a source of introduction novel alleles from wild cultivars into crop varieties [33]. In this technique, intermediate materials are generated that are used as parents in plant breeding. Diversity and geographical locations of crop wild relatives and landraces can remotely be determined by using predictive characterization tools based on eco-geographic and climate data [34]. This method is known as the Focused Identification of Germplasm Strategy. In the changing climatic conditions, it would be a challenge for breeders and geneticists to increase the yields of major food crops or even maintain them that will definitely depend on their ability to improve local varieties by introducing adaptive traits through breeding [35]. It is also of much importance for the farmer community to actively participate in the varietal development process to increase the adoption rates of new varieties [36]. Use of a wide range of methodologies is required to develop crop varieties that are tolerant toward climate change induced stresses [37]. These methodologies include induced mutations, biotechnological applications, including cell and tissue biology, marker assisted selection and genetic engineering; and novel plant breeding techniques, including genome editing procedures. With the help of such techniques, Scuba Rice, a flood-tolerant variety of rice was developed for the flood prone areas, such as those found in Bangladesh, India and the Philippines. This is an excellent example of the successful breeding of a crop variety that supports climate-smart agriculture. In these areas where such extreme challenges are faced by crops, adoption of climate-ready varieties is expected to increase because of climate change. There are many neglected and underutilized edible plant species that are resilient and adapted to marginal areas [38]. For example, Moringa (Moringa oleifera), Yam bean (Pachyrhizuserosus) and Bambara groundnut (Vigna subterranea) etc. It would be strategically important to replace staple crops such as maize, with drought-resistant crops, such as cassava and millets in drought-prone regions of the world. However, this climate-smart agricultural adaptation strategy would only be possible if farmers are willing to adopt these new crops. Farmers can only get benefit from this strategy if the seed and planting materials of such crops are available in right quantity and quality and at an acceptable cost. The effectively availability of such resources is much important for these diverse crops and crop varieties to contribute to climate change adaptation and sustain rural livelihoods [39]. Variety approval and release procedures, seed production, quality control, and its marketing are important components of seed delivery systems. These systems usually fall under national and international policies and regulations, that involve diverse actors, such as government authorities, community-level cooperatives, private firms, input dealers, and contracted growers.
As compared to climate change mitigation, the contribution of plant genetic resources to climate adaptation process is more result oriented. However, to mitigate climate change, a number of strategies can improve the sequestration of greenhouse gases. More cultivation of C4 plants may be one of these strategies to maintain or increase carbon content in plants, such as maize, sugarcane, millets and sorghum [40]. It is found through various studies that increased carbon sequestration capacity through improved photosynthesis, is a heritable and it can be improved through conventional breeding [41].
Through breeding, improved varieties have been developed that are more productive and sequester more carbon. Legumes crops including pulses such as lentil, garden pea, chickpea, pigeon pea, groundnut etc., have diverse nitrogen-fixing capacity. Improved nitrogen fixation is also correlated with increased carbon sequestration, that’s why cultivation of pulses and other legumes would provide additional support for the mitigation of climate change [42].
Crop production system has continuously been evolving from beginning of domestication of different crop species, almost 10,000 years ago. Crop production has improved and still improving through different means including, varietal selection, improved irrigation and crop planting methods, efficient use of cropping patterns and fertilizers, using the wild plants and wild relatives. In recent times crop production has relatively enhanced significantly which ultimately provides more food for a continuously increasing global population.
Green revolution has been a best and well documented example of improvement in crop production which revolutionized the crop production system almost in all developing countries during 1960s. Planting high-yielding varieties of crop and also using chemical and improved irrigation methods were the main components of green revolution. In the result of this, production of cereal food crops was increased over 2.2 billion tonnes from 800 million tonnes during the period from 1961 to 2000. It is estimated that almost one population of one billion was saved from famine due to this green revolution, but it costs a high price in the long run. Intensive cropping for several decades has caused a loss of fertility of agricultural soils, ground water depletion; induce resistance in pests, decreased biodiversity as well as air, soil and water pollution. But now this paradigm should be shifted to a new, as intensive cropping systems has not been sustainable and this is what Save and Grow – i.e. sustainable crop production intensification – is about [43].
It means a productive agricultural system not only conserve but also enhances the natural resources using an ecosystem approach which exploits the natural biological processes and inputs. This system not only reduces the negative impact on our environment but also enhances the flow of ecosystem services as well as natural capital. SCPI has also been contributing in the increasing of flexibility of system which is a critical factor, particularly under the aspect of climate change. SCPI can be achieved using better farming practices which are based on the improved efficiencies and well managed biological processes. It has been based on the agricultural production systems as well as management practices which include:
maintaining the soil health to increase soil-related ecosystem services as well as crop nutrition.
cultivate a diverse range of species and varieties with associations, rotations, and sequences.
use of quality planting materials and seeds of high-yielding, and well adapted, varieties.
integrated management of pest, diseases, and weeds; and
efficient use of water.
SCPI has climate smart approaches and practices of crop production. Sustainable crop production systems have presupposed to address the vulnerabilities as well as risks caused by the climate changes. CSA has same purpose of achieving food security as the sustainable agriculture, using its own perspective of climate change. From crop production to preparation of land, crop planting and harvesting are basic parts of a farming system which ultimately form a broader agro-ecosystem and landscape. An actual crop is only one part of this agro-ecosystem. But crops may also be the integral part of other production systems like, agroforestry, rice-fish system and integrated crop livestock system. Other parts of agro-ecosystems include soil, biodiversity as well as ecosystem services.
Climate changes have been affecting the spread as well as the formation of different types of disease pests, and weeds. This phenomenon has a large consequence of change in the distribution as well as health of the naturally occurring plants, natural predators, hosts and adaptive variations in agricultural management. With an increase of globalization of trade as well as germplasm exchange, following changes present the pest control with new challenges. Integrated pest management (IPM), an ecosystem approach used for crop production as well as crop protection. This technique has based on the considerations of all possible pest control techniques. IPM considers the use of all possible and appropriate means, to prevent the development of pest population ultimately maintaining the levels of pesticide to economically justifiable limit. Thus, decreasing the risks to human health as well as to the environment through minimize agricultural ecosystem disturbance. Making comprehensive decisions at the field level have been essential for effective IPM [44].
Conservative agriculture is technique which involves the covering of maintained land, reduced soil disturbance, and diversifying crop production. Even though conservation agriculture approach was developed to minimize soil erosion as well as to restore the degraded soils, but it also provides strategic initial base point for adaption against climate changes. Conservative agriculture focusses on the reproducing most stable soil ecosystem which can be attain in any agricultural ecosystem to minimize the dependence of producer on the external inputs to full fill the plant nutritional requirements and pest control (Figure 5). BY covering the soil, loss of soil moisture can be minimized; soil temperature can be stabilized, low erosion by water and wind, restoration of the soil carbon through plant debris breakdown and also provide the food material for beneficial soil organism. Using crop rotation and diversification technique disease and pest population will be minimized and soil nutritional value increase. Populations of different soil dwelling animals like earthworms, millipedes, and mites can be flourishing by avoiding mechanical tillage. These micro faunae will take over tillage and improve soil structure by building soil porosity. Conservation agriculture includes the surface organic matter. Soil aggregate improved through the excrement of these soil organisms, while worms create vertical channels which help in the removal of excess water. Soil micro fauna introduce their organic matter which helps in improvement of soil organic quality, structure and capacity to store water ultimately helping to survive under longer drought periods. Conservation agriculture system has ability to mitigate the climate change as untreated soil can work as carbon sink by storing and sequestering carbon. Untreated soil may also reduce the quantity of agriculture required to produce crops, ultimately reducing the fuel consumption [45].
Sustainable soil management.
Both public as well as private benefits can be obtained through SLM innovations, making them a potential tool of finding the ‘win-win’ solutions for poverty, environmental issues and food scarcity. Farmers as a private beneficiary of SLM will get an increased productivity, lower costs, better production stability through growing as well as conserving natural capital (like water resources, soil organic matter, and different types of biodiversity). Through SLM practices soil fertility improved by using large quantity of biomass, reducing the soil disruption, conservation of water and soil, an increased activity as well as diversity of soil fauna, and supporting the elemental cycling mechanism. All this led to improved plant nutritional quality, high water retention ability, and improvement in soil structure contributing to increased yields as well as high resilience, ultimately resulting in improved food as well as livelihood [46].
Loss of water can be countered and an improved water management can be achieved by the means of water and soil conservation; either by reduce irrigation which helped to maximize the yield per volume of water used; or through using more efficient irrigation technologies that can minimize the unproductive water loss through evaporation. Buy to attain a high irrigation efficiency and addition energy costs also required, because expansion of irrigation should have to be accompanied by the precise energy technologies (e.g. solar pumps). Strategy development and decision making for the water management and control should be accompanied with the water balance analysis, as for understanding of the impact of changes in water usage in agriculture on the water cycle, a precise assessment of water balance is required for both filed as well as catchment levels. But in upstream areas, introduction of rainwater harvesting technique on a large scale could adversely affects the downstream water users by affecting the groundwater recharge and flux.
Changing climate, sustainable crop production and mitigation in agriculture are linked with each other. The management of ago-ecosystems for production of food, fodder and fuel as well as for management for adaption and mitigation to the changing climate have same fundamental principles and can also work together to attain the same goal: by ensuring the availability of enough, nutritious food for present as well as for future. A resilient ecosystem required for adaption and mitigation to changing climate as well as for crop production, this can be attain using practices and approaches basically based on the ecosystem services and sustainable management of biodiversity (Figure 6).
Agro-ecosystem-based cropping system approach.
Climate smart crop production system is same as the sustainable crop production system as both concerned with climate change. Different opportunities for adaption to climate change and mitigation through contribution to the maintenance and delivery of different public goods like clean water, flood protection, carbon sequestration, ground water recharge and landscape amenity has been provided by sustainable agriculture system. Sustainable agriculture system has been less vulnerable to the stresses and shocks. Productive and sustainable agriculture systems make of the best crop varieties, livestock breeds as well as their biodiversity, agroecological and agronomic management [47].
The drastic impact of climatic changes on crop productivity has already been felt by agriculture sector. For example, in India, production of rice has been decreased 23% during the period of 2001-2002 due to water scarcity [48]. In Indonesia, about 1 344 million tonnes production of rice has been lost due to flooding [49]. While in Mississippi state of the USA, an estimated loss of up to US$ 8 billion were recorded due to flooding before the harvest season in 2008 [50].
For the security of future food production, crop production system needs to be adopted and mitigated the climate changes. To contrast the impacts of climate change, a better understanding of biological processes (below and above ground) which are involved in farm management practices, is needed. For this purpose, ecosystem management should integrate the different measures for building the resilience and mitigating risk in agriculture. All these elements have become critical under the changing climatic conditions. Biodiversity is essential to maintain the key functions of ecosystem (its structure and process) and to provide vital ecosystem services. It’s a significant regulator of agro-ecosystem functions, not only due to its impact on production, but also for filling a variety of needs of the farmers as well as society at large. Biodiversity not only can increase the resilience of agro-ecosystems, but also act as means of risk reducing and adapting to the climate change. Agro-ecosystem managers, including the farmer, can enhance, build upon and manage the essential ecosystem services which have been provided by the biodiversity their efforts for a sustainable agricultural production system.
Sustainable farming practices have support both above and below ground cropping systems as well as management of ecosystem services. The nature of associated diversity (plant, microbial animals) can be influenced by the diversity and composition of planned biodiversity (e.g. selected crops) ultimately affecting delivery of ecosystem services. An ecosystem approach means that, to integrate the planned biodiversity that has been maintained through associated diversity e.g. more soil coverage and perennial cultivation, high on-farm plant diversity throughout the agro-ecosystem (e.g. resistance against noxious species).
Crop production plays a vital role under climate change by providing opportunities in adapting and mitigating the effects of climate change. Both the principles of sustainable crop production and the approaches for climate change adaptation and mitigation are in line. Climate-smart agriculture actually moves the agriculture from an unstable system towards a more efficient, resilient and sustainable system with the help of naturally auto-control mechanisms. Practices and approaches of climate smart crop production can be utilized by farmers, but the implementation of climate change adaptation and mitigation options not only rely on purely technical basis, but they also depend on social support from the population involved. It is very important to facilitate the farmers by giving the opportunities that are sustained by research institutions and policy. Well-built agricultural policies and research institutions at country level are crucial to counteract the effects of climate change in agricultural production systems and generating the income of the rural population, especially in developing countries. Strong government commitment is a dire need of the moment to formulate or adapt agricultural policies to overcome or minimize the impacts of climate change on crop production. Climate-smart systems are not only important in responding to changing climates especially to the increased unpredictability but can also contribute to mitigate any further change in the climate, thus making these systems more efficient, sustainable and productive. A production system can only be a climate smart, if it is productive and sustainable at the same time.
Modern technological tools such as gene editing, gene silencing and DNA sequencing have revolutionized crop improvement programs in terms of production. Information can be revealed that how plant responses towards stress by using genomics tools and this information can be translated to climate resilient crop. With the help of genomics, molecular markers that are linked to important agronomic traits can be identified; thus, helping to improve crop varieties in terms of quality production, stress tolerance and disease resistance. All these technologies will help to make the world more food secured.
An integrated approach is required to face the challenges of food security under climate change from global to local level as well as from research to policies and investment level. The whole agricultural sector can be shifted onto climate smart agriculture pathways with right policies, practices and investments. It will increase the food security by decreasing the impacts of climate change to global food security on long term.
"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges".
\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.
",metaTitle:"About Open Access",metaDescription:"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges.\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.",metaKeywords:null,canonicalURL:"about-open-access",contentRaw:'[{"type":"htmlEditorComponent","content":"The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\\n\\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
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The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\n\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
\n\nAt IntechOpen today, we are still as committed to working with organizations and people who care about scientific discovery, to putting the academic needs of the scientific community first, and to providing an Open Access environment where scientists can maximize their contribution to scientific advancement. By opening up access to the world’s scientific research articles and book chapters, we aim to facilitate greater opportunity for collaboration, scientific discovery and progress. We subscribe wholeheartedly to the Open Access definition:
\n\n“By “open access” to [peer-reviewed research literature], we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the inter