Sample distribution according to age (N = 162).
\r\n\tThe protection of biodiversity is a major target of the European Union Marine Strategy Framework Directive, requiring an assessment of the status of biodiversity on the level of species, habitats, and ecosystems including genetic diversity and the role of biodiversity in food web structure and functioning. The restoration of marine ecosystems can support the productivity and reliability of goods and services that the ocean provides to humankind, to maintain ecosystem integrity and stability. Some of the goods produced by the marine ecosystem services are fish harvests, wild plant and animal resources, water, some of the services provided recreation, tourism, breeding and nursery habitats, water transport, carbon sequestration, erosion control, and habitat provision.
",isbn:"978-1-83968-460-9",printIsbn:"978-1-83968-459-3",pdfIsbn:"978-1-83968-544-6",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"727e7eb3d4ba529ec5eb4f150e078523",bookSignature:"Dr. Ana M.M. Marta Gonçalves",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10845.jpg",keywords:"Non-indigenous Species, Dynamics, Ecosystem Maturation, Ecological Succession, Water Quality, Recovery, Biodiversity, Environmental Status, Ecosystem Services, Goods Production, Carbohydrates, Carrageenan",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 14th 2022",dateEndSecondStepPublish:"June 22nd 2022",dateEndThirdStepPublish:"August 21st 2022",dateEndFourthStepPublish:"November 9th 2022",dateEndFifthStepPublish:"January 8th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. Ana Marta Gonçalves (h-index 19) holds a Ph.D. in Biology, from the University of Coimbra, Portugal, in collaboration with Ghent University, in 2011. During her research career obtained several grants is highly international competitive calls, including the MARS award for young scientists funded by The Royal Netherlands Institute for Sea Research (NIOZ) and the Foundation for Science and Technology (FCT, Portugal) grants.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"320124",title:"Dr.",name:"Ana M.M.",middleName:"Marta",surname:"Gonçalves",slug:"ana-m.m.-goncalves",fullName:"Ana M.M. Gonçalves",profilePictureURL:"https://mts.intechopen.com/storage/users/320124/images/system/320124.jpg",biography:"Ana Marta Gonçalves obtained a Ph.D. in Biology with a specialization in Ecology from the University of Coimbra, Portugal, in collaboration with Ghent University, Belgium, in 2011. Currently, she is an auxiliary researcher at the Marine and Environmental Sciences Center (MARE), Portugal, where she is also a member of the Directive Board. Since 2016, she has been a member of the Scientific Council of the Institute for Interdisciplinary Research, University of Coimbra (IIIUC). Dr. Gonçalves holds various administrative and management positions in international networks, societies (e.g., Society of Environmental Toxicology and Chemistry, AIL), and associations (e.g., PROAQUA). She is an editorial board member and reviewer for several indexed journals. She has published more than 70 journal articles, 50 book chapters, and 165 communications in international scientific events. She participated as a member and/or coordinator in more than twenty-five national and international projects and is currently the coordinator of four research projects. She has supervised more than ninety-five national and international undergraduate and graduate students. She has experience as a teacher of university courses and in accredited training sessions for teachers. 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It is also used in the diagnosis and treatment of certain neuropsychiatric disorders. This method is a neurostimulation (neuromodulation) technique as is electroconvulsive therapy, vagal nerve stimulation, deep brain stimulation, transcranial direct current stimulation, and magnetic seizure therapy. Some neurostimulation techniques are invasive or semi-invasive; others, including TMS, are noninvasive [1, 2].
\nThe principle of the TMS method is based on Faraday’s law of electromagnetic induction, formulated in 1831. This law states that around the primary coil through which a time-varying current is flowing, a changing magnetic field is created that is able to induce a secondary current in conductors found within its reach. A patient’s brain may be one such conductor. The secondary current induced is, according to Lenz’s law, in the direction opposing the primary current. During TMS, an insulated metal coil is placed over the patient’s head that delivers a changing electrical current producing a changing magnetic field perpendicular to the current passing through the coil. Magnetic pulses may be administered individually (single-pulse TMS), or in pairs a few milliseconds apart (paired-pulse TMS), or repeatedly in a sequence or “train” lasting from seconds to minutes (repetitive transcranial magnetic stimulation or rTMS). The first two options are used primarily for research and diagnostic purposes; rTMS is used mainly in the treatment of certain neuropsychiatric disorders, including schizophrenia [1, 3].
\nRepetitive transcranial magnetic stimulation is defined by the number of pulses per second or by frequency in Hertz (Hz). The frequency is categorized as “low-frequency” (“slow”) rTMS with 1 Hz or less and “high-frequency” (“fast”) rTMS with more than 1 Hz (usually between 5 and 25 Hz). Another parameter of stimulation is its intensity expressed as the percentage of the individual resting motor threshold (MT). The motor threshold is defined as the minimal intensity of the stimulus able to produce muscle contraction in at least 5 of 10 successive trials (usually in one of the small muscles of the hand, e.g., the abductor pollicis brevis) when the stimulation is applied to the motor cortex. The most commonly used stimulation intensity varies between 80% and 120% of the individual resting motor threshold. Other stimulation parameters include the length of the train of pulses, the duration of the pause between them (“intertrain”), the total number of pulses administered during one session, the total number of individual sessions, the stimulation coil localization, the type of coil (the most commonly used type in rTMS is the “figure-of-eight coil”; there are also oval coils, conical coils etc.; the double cone coil is one of the most innovative types), and the coil’s position, and orientation on the patient’s head. The most frequent stimulation site is the dorsolateral prefrontal cortex (DLPFC). This stimulation site is usually defined as the location 5 cm rostral to the area of the motor cortex, the stimulation of which determines the resting motor threshold. Another method for the localization of the stimulation site uses the international system of EEG electrode placement 10/20; the most precise localization method is performed by stereotactic neuronavigation. An interesting modification of standard rTMS is pattern stimulation, with theta burst stimulation (TBS) as the most important [1–3].
\nAlthough the specific effect of rTMS on neurotransmission is not entirely clear, it has been proven repeatedly that high-frequency rTMS (10 to 20 Hz) increases brain excitability, and low-frequency rTMS (1 Hz and lower) decreases it. It has also been found that high-frequency rTMS applied over the left prefrontal cortex (PFC) increases brain perfusion, and thus the metabolism of this region, whereas low-frequency rTMS has the opposite effect [4].
\nTMS with various single-pulse protocols and paired-pulse protocols is a useful tool for the assessment of physiology of the human motor system, including cortical excitability, inhibitory and excitatory mechanisms, conduction time, connectivity, and plasticity [5]. Moreover, Camprodon and Pascual-Leone [5] suppose that this tool has properties that we now need to understand across affective, behavioral, and cognitive circuits, to establish solid circuit-based models of neuropsychiatric diseases with the potential to affect clinical practice.
\nOne of the phenomena, studied with TMS, is cortical inhibition. Cortical inhibition (CI) can be defined as a neurophysiological mechanism by which GABAergic interneurons influence the activity of other neurons. Several studies have identified CI impairment in schizophrenia. CI and CI impairment can be measured with a number of markers and protocols, including the cortical silent period (CSP). CSP measurement consists of a suprathreshold TMS pulse over the motor cortex paired with voluntary electromyographic activity, causing a cessation of muscle movement. The duration of this movement cessation is a measure of CI. It is thought that CSP measures GABAB inhibitory activity. Another CI marker is short-interval cortical inhibition (SICI). SICI measurement consists of a subthreshold conditioning TMS pulse preceding a suprathreshold pulse by several ms (1–5 ms). The amplitude of the motor-evoked potential (MEP) is then measured; it should be reduced by 50–90%. This marker is thought to measure GABAA-mediated cortical inhibition [6–13]. Recent studies show that CI impairment can be improved with antipsychotics, especially clozapine, but also with quetiapine and risperidone [13–15]. Kaster et al. [13] suggested that the potentiation of GABAB may be a novel neurotransmitter mechanism that is involved in the pathophysiology and the treatment of schizophrenia. Another recent study found inhibitory deficits directly in the prefrontal cortex specific for schizophrenia using a combination of TMS and electroencephalography (EEG) [9]. Camprodon and Pascual-Leone [5] suppose that this multimodal combination of TMS and neuroimaging methods (EEG, magnetic resonance imaging, or positron emission tomography) can achieve TMS full potential—to measure the neurobiological effects of TMS even beyond the motor cortex.
\nThe most important use of TMS (or rTMS) is in the treatment of specific symptoms or syndromes of schizophrenia, especially negative symptoms and auditory hallucinations. Other less proven indications in schizophrenia include cognitive deficit, catatonic symptoms, obsessive-compulsive symptoms, and comorbid nicotine abuse (through the decrease of craving).
\nThere is a consensus that the negative symptoms of schizophrenia include symptoms of affective flattening, alogia, avolition, social withdrawal, and anhedonia. The symptoms of inattention, poverty of content of speech, and inappropriate affect are also often assigned in measuring scales mainly due to the clinical evaluation of the overall disorganization seen in patients with schizophrenia [16].
\nSeverity of negative symptoms in schizophrenia is usually linked with worse functional outcomes, including specific relationships with impaired occupational functioning, household integration, social functioning, engagement in recreational activities, and quality of life [16—18].
\nNegative symptoms are often associated with hypofrontality and with a lack of dopamine in the prefrontal cortex [19, 20].
\nSome authors have found that high-frequency rTMS could increase cortical excitability and the metabolic activity of targeted neurons [21, 22]. Prefrontal rTMS also modulates dopamine release in the dorsal striatum and in the nucleus accumbens in Wistar rats [23]. High-frequency rTMS of the DLPFC induces the release of dopamine in the ipsilateral nucleus caudatus in healthy volunteers, and it causes downregulation of the 5-HT2 receptors in the frontal cortex [24, 25].
\nThe change of the expression of glutamic acid decarboxylase, which is the synthetic enzyme of the precursor of GABA, could be also modified by rTMS. This finding may be important because the severity of negative symptoms has been found to be inversely related to benzodiazepine receptor binding in the medial frontal region [26].
\nThese findings have led to the hypothesis that high-frequency rTMS applied at the prefrontal cortex may be an effective treatment of negative symptoms in schizophrenia, and many studies were published on this topic.
\nWe summarize in this text the results from three meta-analyses and from recent articles that are not a part of the last meta-analysis by Shi et al. [27].
\nThe first meta-analysis reviewed eight double-blind studies and found that rTMS had a mild to moderate (d = 0.58) effect on alleviating the negative symptoms of schizophrenia [28]. The second meta-analysis evaluated nine double-blind studies with more than 200 enrolled patients [29]. When studies with any high-frequency stimulation of the left PFC were evaluated, the effect size of the treatment was low (d = 0.43); when the analysis included only studies with a 10 Hz frequency, the effect size of the treatment was intermediate (d = 0.63) [29]. The results of the third, most recent, meta-analysis suggest that rTMS is an effective treatment option for negative symptoms in schizophrenia. This meta-analysis included 16 studies. The moderators of rTMS on negative symptoms included duration of illness, stimulation frequency, stimulation intensity, and the type of outcome measures used (the effect size of rTMS on negative symptoms in sham-controlled trials was 0.80 as measured by the Scale for the Assessment of Negative Symptoms—SANS and 0.41 as measured by the Positive and Negative Syndrome Scale—PANSS) [27].
\nThe authors of the third meta-analysis formulated some recommendations for the treatment of negative symptoms by rTMS based on the available results, which show that long-term stimulation (3 weeks or more) has a better effect than short-term stimulation. The best effect was with 10 Hz rTMS and 110% of individual MT. The number of pulses is also important—the effect is greater when the patient receives a higher number of pulses [27].
\nA recent study by Wobrock et al. included a sufficiently large sample (175 patients), but no statistically significant effect of rTMS was found in the improvement of negative symptoms in the active group compared with the sham group. The stimulation protocol was 15 sessions of 10 Hz stimulation of the left DLPFC, 110% MT, 5 s train and 30 s intertrain, and 15,000 pulses in the whole study. However, less-precise method was used for targeting the left DLPFC (the international system of EEG electrode placement 10/20, F3 electrode), and patients received a relatively small number of pulses, although the last meta-analysis indicated that a higher number of pulses have a better effect [30].
\nIn another double-blind study, 117 patients with negative symptoms were randomized to a 20-day course of either active rTMS applied to the left DLPFC (it was targeted to 5 cm anterior to the point where maximum stimulation of the abductor pollicis brevis muscle was observed) or sham rTMS. The stimulation protocol was 10 Hz frequency, 4 s train and 56 s intertrain, 20 min each day, 80% MT, and 800 pulses per day. They reported that treatment with high-frequency rTMS for 6 weeks significantly improved negative symptoms in the active stimulation group as compared to the sham group. The decrease in negative symptoms persisted to the 6-month follow-up assessment [31].
\nDlabac-de Lange et al. evaluated the effect of bilateral rTMS of DLPFC in schizophrenia patients with negative symptoms. The Tower of London (ToL) task during fMRI was used to measure the brain function of the DLPFC. The stimulation protocol was 10 Hz frequency, 15 sessions (divided into 3 weeks), 10 s train and 50 s intertrain, and 90% MT. Patients received 20 trains in one stimulation session. The brain activity in the right DLPFC and in the right medial frontal gyrus showed an increase in the active stimulation group after the stimulation, and the left posterior cingulate showed a decrease in brain activity after rTMS treatment of the DLPFC. No significant differences were found in task performance between the sham group and the active group after the treatment with rTMS. A significant difference was found in SANS but not in PANSS. The limits of the study can be seen in the localization of the DLPFC (targeted by F3 and F4 location from the EEG 10/20 system), in the small sample size (total of 24 patients) and in its heterogeneity, as there were significant differences between the active and sham groups at the beginning of the study [32].
\nThe authors of a recent study compared 96 patients who received 10 and 20 Hz, theta burst stimulation (TBS) and sham stimulation. The 10 Hz stimulation was only 80% MT at the beginning, and the intensity was gradually increased to 110% MT. Patients received 30 trains in one stimulation day, one stimulation interval was 5 s of the train and 30 s of the intertrain. The stimulation was divided into four weeks (20 stimulation sessions). The 20 Hz stimulation had the same stimulation parameters as the 10 Hz stimulation. In TBS, the basic train had a frequency of 5 Hz, and the stimulation was given every 200 ms. Three single pulses (50 Hz) were embedded within each 5 Hz pulse, on 80% MT, and each session had 2400 pulses. The TBS group had significantly larger reductions in SANS and PANSS negative subscale scores than the 10 Hz group and the 20 Hz group, but there were no significant differences in the two scales between the 10 and 20 Hz groups. There was a reduction in the scores in the mentioned scales in all groups with active stimulation compared with the sham group stimulation [33].
\nThe cerebellum and cortico-thalamic-cerebellar circuit have also been included in the pathophysiology of schizophrenia. In patients with schizophrenia, some cerebellar dysfunctions were found, such as neurological soft signs, impaired eyeblink conditioning, procedural learning deficits, dyscoordination, abnormal posture, and poor cognitive performance. Resting state gamma activity is supposed to be a biomarker related to functional brain connectivity. One study tried to investigate the effect of cerebellar rTMS on resting state gamma activity. The efficacy of cerebellar rTMS was tested in 11 recent-onset schizophrenia patients who received 10 sessions of high-frequency rTMS to the midline cerebellum over a 2-week period. A significant decrease in negative symptoms and depression scores was observed after the rTMS treatment. Gamma spectral power in left frontal and temporal segments was reduced significantly after this treatment. In light of these preliminary results, cerebellar rTMS could be a useful innovation for the treatment of negative and affective symptoms in schizophrenia, but this has to be confirmed in further studies [34].
\nRecent guidelines state that high-frequency rTMS of the left DLPFC has a probable effect in the treatment of negative symptoms of schizophrenia (Level B evidence) [35].
\nA number of double-blind studies also proved a statistically significant decrease in the intensity of negative schizophrenia symptoms when current antipsychotic treatment was augmented with rTMS; the actual clinical significance of this procedure is disputed [4].
\nAnother issue is represented by antipsychotic and other medication used in the treatment of patients with schizophrenia. According to some studies, this medication could negatively influence the activation induced by rTMS [36, 37].
\nrTMS represents a promising direction in the treatment of negative symptoms in schizophrenia, but it is necessary to improve current stimulation protocols (to use different frequencies in different areas, to investigate the effects of intensive stimulation protocols, and to investigate new targets such as the cerebellum).
\nAuditory verbal hallucinations (AVH), perceptions of voices in the absence of external stimuli, are a fundamental feature of mental illness and one of the characteristic symptoms of schizophrenia with high clinical importance [38]. AVH are reported by 50–70% of patients with schizophrenia, and in about 25–30% of patients, AVH are resistant to antipsychotic medication [39]. rTMS could be an additional therapeutic tool for AVH in schizophrenia [40].
\nThe positive impact of rTMS on AVH can be seen in the inhibition of increased activity in the left temporoparietal cortex (TPC) (Broadmann area 40). This increased activity is repeatedly proven during hallucinations using brain imaging methods. This area is supposed to be involved in the perception of speech. The repeated stimulation of this area with a frequency of 1 Hz (low-frequency rTMS) induces a long-lasting decrease in the frequency and severity of medication-resistant AVH [41].
\nThe first study that applied rTMS as a therapeutic instrument for AVH was performed by Hoffman et al. in 1999. They postulated that low-frequency rTMS (1 Hz frequency) delivered to the left TPC would curtail auditory hallucinations by reducing the excitability of distributed neurocircuitry [39]. Since then several studies have been performed; some studies with positive results and others with negative results. All these studies were included in several meta-analyses.
\nThe authors of the first meta-analysis observed a significant mean weighted effect size for rTMS versus sham stimulation, across 10 studies involving 212 patients (d = 0.76). The main outcome measure was the reduction in hallucinations as measured with appropriate psychometric rating scales. A typical hallucination rating scale is the Auditory Hallucinations Rating Scale (AHRS), which is a seven-item scale measuring frequency, reality, perceived loudness, number of different speaking voices, length of hallucinations (single words, phrases, sentences, or extended discourse), attentional salience (the degree to which hallucinations captured the attention of the patient), and distress level. When studies reported on multiple brain areas that were targeted with rTMS, only the left TPC was included. When only studies were included that used continuous stimulation (nine studies), the mean effect size increased to d = 0.88. To investigate whether the number of stimulation session would be an important variable, they compared studies with fewer than five stimulation sessions (four studies) to those with more than five stimulation sessions (six studies); there was no significant improvement. Two studies that included PANSS reported that rTMS had no significant effect on the PANSS positive subscale. Thus, the observed effect was specific to auditory hallucinations. There was no significant effect of rTMS on a composite index of general psychotic symptoms. The results provide support for the efficacy of the treatment in reducing the severity of AVH [42].
\nThe second meta-analysis included ten studies with 232 patients. All these studies used low-frequency rTMS of the left TPC on patients with schizophrenia and treated and measured medication-resistant AVH. They extracted outcomes from several scales for assessing AVH: Hallucination Change Scale (HCS), Auditory Hallucinations Rating Scale (AHRS), Severity of Auditory Hallucinations (SAH scale), Psychotic Symptom Rating scale—Auditory Hallucinations Subscale (PSYRATS-AH), and Positive and Negative Syndrome Scale—Auditory Hallucinations Item (PANSS-AH). The HCS seems more sensitive to rTMS effects on AVH, while most studies using AHRS reported negative results. The authors observed significant effect size (Hedges’ g = 0.514) [43].
\nThe third meta-analysis was performed by Freitas et al. [28]. The authors specifically analyzed the effect on auditory hallucinations in seven sham-controlled studies and found a large and significant effect size for the sham-controlled studies (1.04; p = 0.002). They observed the need for individual assessment of the functional anatomy of hallucinations, using hallucination-activation maps obtained either by PET or fMRI, and stereotaxically determined the stimulation site following individual fMRI detection of inner speech regions instead of less sophisticated approach including coil position using the international 10/20 EEG electrode system in TP3 site, which might enhance TMS efficacy [43]. A critical finding in a study by Hoffman et al. concerned the discrepancy between the fMRI-guided TPC sites used in their trial and the standard TP3 which had little to no overlap [44]. Moreover, in a study by Sommer et al., five of the seven patients undergoing functional guided rTMS had predominant right-sided hallucinatory activity and were therefore stimulated over the right TPC [28, 45].
\nAnother three meta-analyses were published by Slotema et al. [41, 46, 47]. According to the first one, with seven randomized controlled trials and 189 patients included, rTMS was superior to sham treatment, with a mean weighted effect size of 0.54 [46]. The second meta-analysis included 17 studies. The mean weighted effect size of rTMS directed at the left temporoparietal area was 0.44. But the effect of rTMS was no longer significant at one month of follow-up care (according to five studies with a follow-up assessment of at least one month) [47]. The most recent meta-analysis by Slotema included 19 studies with a total number of 548 patients. The mean weighted effect size for the treatment of auditory hallucinations was 0.44. No significant mean weighted effect size was found for the severity of psychosis. For patients with medication-resistant auditory hallucinations, the mean weighted effect size was 0.45. Repetitive transcranial magnetic stimulation applied at the left temporo-parietal area with a frequency of 1 Hz yielded a moderate mean weighted effect size of 0.63, indicating the superiority of this paradigm. Various other paradigms failed to show superior effects. rTMS applied at the right temporo-parietal area was not superior to sham treatment. The authors concluded that rTMS, especially when applied at the left temporo-parietal area with a frequency of 1 Hz, is effective for the treatment of auditory hallucinations, including for patients with medication-resistant hallucinations [41]. The limitation of all rTMS studies is the placebo, because of the difficulty of reproducing the noise and the scalp sensation (including superficial muscle contractions) of the active treatment. The initial method of producing a placebo effect was to tilt the coil at 45° or 90°. However, this method clearly unmasks it to patients who were previously treated with rTMS or for those in a crossover design. The more recent methods involve using a completely similar sham coil. Another significant limitation of these studies is the concomitant pharmacotherapy in all subjects. Several pharmacological treatments may interfere with treatment response, by modifying cortical excitability, by preventing the transsynaptic transmission of rTMS, or by interfering with the cerebral plasticity effects induced by rTMS [43].
\nThe results of all of these meta-analyses show that 1 Hz rTMS applied at the left temporo-parietal area is effective in the treatment of auditory hallucinations (even in treatment-resistant patients), but the effect is of a relatively short duration (shorter than in patients with depressive disorder). In the trials covered in the meta-analysis by Slotema et al. [47], the effect of rTMS on AVH was no longer significant at the one-month follow-up visit. This short duration of the effect of rTMS is a matter of concern. A daily treatment of 2–4 weeks with a small treatment effect combined with a short duration may call into question its utility as a meaningful treatment for patients troubled by persistent symptoms [47]. The treatment of other positive symptoms with rTMS is ineffective. Recent guidelines state that low-frequency rTMS of the left TPC has a possible effect in the treatment of auditory hallucinations (Level C evidence); for other paradigms (high-frequency rTMS or continuous theta burst stimulation—cTBS), there are no recommendations [35].
\nThe treatment of other symptoms, syndromes, and comorbid conditions in patients with schizophrenia is less proven. Some studies focused on the cognitive effects of rTMS in schizophrenia. Their results were heterogeneous. A meta-analysis included four studies of high-frequency rTMS at the DLPFC and its effect on working memory. The authors concluded that rTMS significantly improved all measures of working memory performance [48]. But a recent study failed to prove a superior effect of rTMS over sham stimulation in the improvement of various cognitive domains in 156 schizophrenia patients with predominant negative symptoms [49]. Recent guidelines state no recommendations for the treatment of cognitive deficit in schizophrenia [35].
\nThree case studies described rTMS in the treatment of catatonic symptoms in patients with schizophrenia—the improvement in two cases was rapid and sufficient; the last case was negative [50].
\nA similar situation was seen in the treatment of obsessive-compulsive symptoms associated with schizophrenia. Two case studies with positive results were published, but the effect was only transient, and a recent pilot study had negative results [51, 52].
\nTMS offers an interesting option for the treatment of comorbid misuse of alcohol, nicotine, and other psychotropic substances. Two studies proved the effect of high-frequency rTMS at the left DLPFC on the reduction in cigarette consumption in patients with schizophrenia [53, 54].
\nTMS could also influence other less specific symptoms which are presents in schizophrenia as well as in other mental disorders, such as attention deficit or impulsiveness.
\nIt is possible to distinguish between two categories of factors associated with the efficacy of rTMS in schizophrenia: (1) clinical factors and (2) factors associated with rTMS, especially stimulation parameters.
\nClinical factors include heterogeneity of symptoms of schizophrenia treated with rTMS, especially negative symptoms. Prikryl et al. analyzed negative symptoms influenced with rTMS using five domains of SANS (affective flattening/blunting, alogia, avolition/apathy, anhedonia, and impaired attention). The stimulation improved all domains, except for alogia [4]. To improve the results with rTMS, the definition and the prediction of responders are needed. This could be achieved using markers of impaired cortical inhibition and neuroplasticity—especially when TMS (with the potential to measure cortical inhibition and its changes) and EEG or other neuroimaging methods (MRI, fMRI, SPECT, PET) are combined. Tikka et al. described significant correlation between the reduction in negative and depressive symptoms in patients with schizophrenia and the reduction in gamma spectral power in left frontal and temporal segments after cerebellar rTMS. The authors suggest resting state gamma spectral power in frontal and temporal regions for a biomarker of treatment response [55]. Homan et al. described that responders were robustly differentiated from nonresponders to rTMS by the higher regional blood flow in the left superior temporal gyrus before treatment for AVH. The authors conclude that resting perfusion measurement before treatment might be a clinically relevant way to identify possible responders and nonresponders to rTMS [56].
\nThe optimization of stimulation parameters is another important issue. New stimulation targets (for example, the cerebellum or anterior cingulate), better and more precise methods of stimulation coil placement (stereotactic navigation), new coil types (double cone coil, maybe H-coils for deep TMS), stimulation frequency (individual frequency), intensity, number of pulses (higher number of pulses), and the number of stimulation sessions (intensive stimulation) are also subjects of current research. This research can provide data for new and innovative stimulation paradigms, which are needed for a more robust clinical effect of TMS in schizophrenia.
\nTMS is a very promising research and therapeutic method for patients with schizophrenia. It is a useful tool for researching cortical inhibition and neuroplasticity. The most important application of TMS (or rTMS) is in the treatment of some symptoms or syndromes, especially negative symptoms (high-frequency rTMS at the left DLPFC) and auditory hallucinations (low-frequency rTMS at the left TPC), and maybe even cognitive deficit. The results of clinical studies are promising, but further research is needed to optimize the treatment results.
\nThis work was supported by research grants from the Grant Agency of the Ministry of Health of the Czech Republic (AZV) NV15–30062A and NV15–31063A and by the Ministry of Health of the Czech Republic—conceptual development of research organization (FNBr, 65269705). The authors like to thank Ms. Anne Johnson for proof-reading.
\nCardiovascular disease is reported to be the leading cause of death in world. In 1998, 12.4 million people died of heart attack and stroke. Of these 78% were in low and middle income countries. The high income countries had lower death rates because of better preventive and treatment program [1]. Though, several clinical and biochemical risk factors have been identified, the role of psychological factors are also gaining importance during the past few decades. Several risk factors have been identified to be associated with coronary heart disease (CHD) which include causative risk factors (hypertension, hyperlipidemia and diabetes), conditional risk factors (triglycerides and lipoprotein), and predisposing risk factors (obesity, physical activity, sex, family history, socioeconomic factors, insulin resistance and psychological factors) [2]. Evidence of various studies has shown a strong association in psychological stress and CHD. Cardiovascular disorders pose a major health problem for industrialized societies in terms of excess of morbidity and mortality. It is evident from the review of literature that there is a strong relationship between coronary heart disease and some psychological factors. Psychological variables like stress, personality, anxiety and lifestyle are contributing along with high blood pressure, obesity; lack of exercise, cigarette smoking and high blood cholesterol to the development of CHD [3]. In present study, a comparative study is carried out between coronary heart disease patients and non-coronary individuals in relation to lifestyle.
\nLarge number of clinical and biochemical factors have been identified in development of CHD, the role of psychosocial factors are also gaining importance during the past few decades. The World Health Organization has stated that since 1990, 80–90% of people dying from CHD had one or more risk factors associated with lifestyle [4]. Lifestyle is a way person lives. This includes patterns of individual’s health behaviour, social interactions, attitudes, values, belief and essentially the way the person perceived by himself/herself and at times also how he/she perceived by others. Lifestyle is one of the major factors which have shown a strong association with CHD [5]. Lifestyle is based on subjective perception, is purposeful and goal directed. It is motivated by a desire to overcome feeling of inadequacy coupled with an urge to succeed. The general goals of lifestyle are to understand, predict, and control life and self. Lifestyle has been found, as pointed out earlier, to have influence on individual’s health, adjustment to environment, psychosomatic and psychiatric illness [6]. Health psychologists found that healthy lifestyle and dietary intake are associated with positive effects on blood cholesterol [7]. Diet, sleeping pattern, smoking, and alcohol taking habits have a negative effect on health [7].
\nRussek and Zohman [8] observed in young coronary patients that prolonged emotional strain was associated with job responsibility. The Framingham study had demonstrated the significance of lifestyle, employment and interpersonal stress. By showing that in males under 65, aging worries and daily stress and tension were associated with a greater risk of developing CHD, while for males and females over 65; marital dissatisfaction or disagreements were risk factors for CHD [9]. A diet high in fat, obesity and lack of exercise increases the risk of heart disease. Tobacco use, whether it is smoking or chewing tobacco, increases risk of cardiovascular disease [10].
\nThere is a positive relationship between heart disease and fat intake, obesity, smoking and lack of exercise. The relationship between smoking and risk for CHD is simple and direct. Smoking has several negative effects on cardiovascular system (MacDougall, 1983, cited in [6]). Job dissatisfaction and work load in males emerged as a factor of predictive of CHD [6].
\nIn the present study, lifestyle is measured on the basis of heath and behaviour pattern, job involvement, social interactions, intimacy, locus of control and values.
\nIn India, in the past five decades, rates of coronary disease among urban populations have risen from 4 to 11% and four Indians die every minute due to heart disease. In India, 50% of heart patients are under 45 years of age [11]. CHD is emerging as a major cause of death in India. It has been projected that 15 years from now India would have highest CHD deaths compared to any other country [12]. ICMR and WHO have predicted that cardiovascular diseases would be the most important cause of mortality and morbidity in India by the year 2015 [13]. Data from Christian Medical College, Vellore and All India Institute of Medical Sciences, New Delhi, over a period of 30 years showed a decline in admission for rheumatic heart disease (RHD) and increase in admission for CHD [14]. A comparative study in Singapore on Indians and Chinese, revealed stronger cardiovascular reactivity to stress among Indians than compared to Chinese men [15]. Chronic anxiety and tension have been suggested as factors in the development of CHD. There is strong evidence supporting prognostic associations with social isolation and low perceived emotional support and unhealthy lifestyle behaviors in the development of CHD [16]. In India, it has been observed that there is age related increase in CHD. The incidence of myocardial infarction (MI) was more common in urban India than rural areas of India [17]. Studies in India have shown that heart attacks in India occur 10 years earlier than in West. Hence it is needed to undertake well designed prospective studies for evaluation of CHD in relation to psychological factors [18]. According to Theorell et al. [19], cases of CHD may increase from about 2.9 crore in 2000 to as many as 6.4 crore in 2015.The prevalence rates among younger adults (age group of 40 years and above) are also likely to increase. Prevalence rates among women will keep pace with those of men across all age groups. Data also suggest that prevalence rates of CHD in rural populations will remain lower than that of urban population [17].
\nIn brief the rationale of the study is the limited research available in this area related to psychological factors in India. This study was carried on matched subjects to contribute to this significant domain of research.
\nLifestyle is one of the major factors which have shown a strong association with CHD [5]. Lifestyle is based on subjective perception. The behaviour pattern of an individual as expressed by his motives, his manners of coping and other factors including values, social and family satisfaction, job satisfaction and work style are called lifestyle. In the present study lifestyle is measured on heath and behaviour pattern, job involvement, social interactions, intimacy, locus of control and values. Research work has been done linking lifestyle, personality and coronary heart disease. It shows that Type A behaviour pattern (TABP) promotes a lifestyle which facilitates exposure to range of social, personal and occupational stresses which emerges into a coronary heart disease. Wright’s identified five separate paths to coronary artery disease that are inherited risk based on family history, risks that accrue from personal lifestyle choices such as overeating and lack of exercise, anger directed inward, anger directed outward that is combined with a sense of time urgency and chronic activation and the traditional Type A pattern identified by Rosenman and Friedman. Regular physical activity in the context of work, recreation or an exercise training programme is associated with a marked reduction in heart disease related deaths in patients. Exercise has positive effects on the cardiovascular system that reduce risk for coronary artery disease and myocardial ischemia. Exercise tends to reduce heart rate, it improves the efficiency of the heart and it reduces blood pressure. It improves efficiency in the respiratory system so that oxygenation of blood and supply of oxygen to heart is better. Exercise reduces weight and there is a beneficial effect on cholesterol, triglycerides and ratio of HDLs to LDLs. The National High Blood Pressure Education Program recommended four changes in lifestyle to help, prevent or manage hypertension, since hypertension is a major modifiable risk factor for CHD. These are weight control, reduced salt intake, increased exercise and moderate alcohol consumption. Diet has a direct and important role in heart disease that goes beyond cholesterol. A diet high in saturated fat increases the risk of heart disease and stroke. Gender linked risk cannot be changed but high blood pressure, elevated cholesterol and smoking can be significantly reduced by life changes. Simple adjustments to diet and exercise have positive effects on both cholesterol and blood pressure. Tobacco use, whether it is smoking or chewing tobacco, increases risk of cardiovascular disease. Passive smoking is also risk factor for CHD. The relationship between smoking and risk for CHD is simple and direct. Incidence of heart attacks and sudden cardiac deaths is directly related to the number of cigarettes smoked on a regular basis. Cigarette smoking is the most preventable cause of coronary heart disease. The Framingham data show that men who smoke have up to 10 times the likelihood of sudden death compared to nonsmoker. Smoking interferes with the oxygen carrying capacity of blood, it reduces bioelectrical control and finally smoking increases the tendency to platelet aggregation and clot formation. Clots increase the potential for thrombosis and fatal coronary. Russek and Zohman [8] observed emotional strain associated with job responsibility in young coronary patients. There is a positive association between job dissatisfaction and CHD. Karasek’s group in Sweden [18] explored the relationship of the kinds of work stresses that may be associated with cardiac pathology. They had given a model which links high work demands with an inability to make decisions. Theorell’s prospective study of 6500 middle aged males in Swedish construction industry found dissatisfaction with domestic and working life was predictive of suffering a myocardial infarction during subsequent 2 years. In a study of London transport bus drivers and conductors, results showed that bus drivers had significantly higher incidence of heart disease than bus conductors because of more responsible and stressful nature of their work. The Framingham study showed that men undergo in frequent work promotions sustained an increased chance of developing CHD. A supportive social network and having community ties promote emotional and physical wellbeing. Some studies validate positive relationship between social support and CHD mortality. Studies on marital status have repeatedly shown that the single widowed or divorced have higher CHD mortality rates compared to their counter parts. It was also found that interpersonal relationship and marital dissatisfaction or disagreements were risk factors for CHD.
\nThe association between values and attitudes towards life was studied in cross cultural context in Japanese young men.
\nIt was found that Japanese who maintain their traditional way of life, values and language after their emigration to US, do not have increased rate of CHD. In study of Japanese- American males found that those with the lowest level of social affiliation had double the risk of developing CHD. The rate of CHD mortality increases due to smoking, alcohol and foods rich in fats, less exercise, lack of control over one’s working environment, reduced levels of social support, the cumulative life cycle experience of belonging to a social class or nation undergoing rapid urbanization and industrialization.
\nThe main objective of this research was to study the role of lifestyle in development of CHD and hypothesis formulated was patients of coronary heart disease (CHD) would score higher on subscales of lifestyle as compared to matched non-CHD individuals.
\nThis being a study on stress, anxiety, type A behaviour pattern and lifestyle variable of the patients of coronary heart disease (CHD) and their matched normal patients for the present study were selected from cardiac care unit (CCU) of hospitals from Pune city. During the survey for CHD patients 10:1 ratio of male to female was observed. As, there is a physiological cause that men having a greater risk of heart disease than women do, because, the higher levels of high density lipoprotein (HDL) cholesterol, which helps to slough off the more lethal low density lipoprotein (LDL), these higher HDL levels appear to be linked to premenopausal women’s level of estrogen. Estrogen diminishes sympathetic nervous system arousal, which may add to protective effect against heart disease seen in women. So in the present study only male CHD patients were selected. Out of 121 male CHD patients admitted in CCU’s of various hospitals in Pune, 81 CHD male patients agreed to participate in the present study. In the present study selection of 81 matched normal was done by keeping the patients in view. The patients and normals were matched, one to one on the variables of age, education, occupation, family type and socioeconomic status. These 81 male CHD patients met the inclusionary criteria, which were as follows:
\nAge: 30–60 years; education: minimum S.S.C. passed; occupation: employed; family type: nuclear family is staying with wife and children, and joint family is staying with wife, children and parent; socioeconomic status: minimum income Rs 10,000 per annum. The normals were selected after the medical checkup by the physicians who labeled them as normal as they were not suffering from any disease.
\nFollowing tools and measures we used for data collection.
\nPersonal data sheet: A personal data sheet comprising 14 items was prepared and was required to be filled in by the patients and normal before the actual administration of psychological scales. The items were designed to get the information about age, education, occupation, family type and socioeconomic status.
\nInterview schedule: To measure lifestyle in CHD patients and normal individuals, structured interview schedule was prepared on the basis of operational definition of lifestyle. Interview schedule includes four subparts in which questions are formulated beforehand and asked in a set order in a specified manner. The description of interview schedule is given in Appendix A.
\nDescription of the sub-dimensions is given below.
Health behaviour pattern: It includes information about sleeping habits, dietary habits, daily exercise, smoking habits. To find out health behaviour pattern three questions were framed to get detailed information about sleeping habits, four questions for dietary habit, four questions for daily exercise, six questions for smoking habits. The coding of the responses is quantified. A five point rating scale, that is, always, often, sometimes, rarely, and never is used to measure the responses of person. Higher the scores on sleeping habits, dietary habits and smoking habits indicates more risky lifestyle whereas lower scores indicate healthy lifestyle. Lower scores on daily exercise indicate healthy lifestyle where as higher scores indicate more risky lifestyle.
Social interactions: It includes the information about social awareness and social life of the person. To get detailed information about social interactions 16 questions were framed. The coding of the responses is quantified. A five point rating scale is used to measure the responses of the person. Higher scores on social interactions indicate healthy lifestyle whereas lower scores indicate more risky lifestyle.
Intimacy: It includes the information about family and personal life activities. Intimacy is that quality of being close and affectionate with another person. It can occur with or without sexuality. To get detailed information eight questions were framed. The coding of the responses is quantified. A five point rating scale is used to measure the responses of the person. Higher scores on intimacy indicate healthy lifestyle whereas lower scores indicates more risky lifestyle.
Locus of control: It includes information about the individuals own interpretation of personal control over illness and health. Locus of control refers to the belief about location of control of behaviour by the subject. This locus is classified as external and internal. Individuals with external control think that their behaviour is controlled by the external forces like chance, luck, fate, some influential person or external circumstances. Individuals with internal control believe that their behaviour is controlled by the forces which are within themselves and the event is contingent upon their own behaviour. Eleven questions were framed to get detailed information about locus of control related to health and illness aspects. A five point rating scale is used to measure the responses of the person. Higher scores indicate internal locus of control whereas lower scores indicate external locus of control.
Values: It includes the information of two values namely money and religion of the person. Values hold a central place in culture, identity and lifestyle of the individual. Total eight questions were framed to get details about values of person out of which four questions were framed to get details about money and remaining four questions were framed to get details about religious values. A five point rating scale is used to measure the responses of the person. Higher the scores on money and religious value more risky lifestyle whereas lower scores indicate healthy lifestyle. Split half reliability was calculated and it is 0.89.
A special permission was sought to collect the data of CHD male patients from cardiac care unit (CCU) of Pune city which includes Ruby Hall Clinic, Jahangir Hospital, DinDayal Heart Institute, Dinanath Mangeshkar Hospital, Joshi Hospital, Kashibai Navale Hospital and Sasoon Hospital.
\nOn the initial contact, after noting down residential address of the patients, a formal permission was sought to see them at home after discharge from CCU within 10 days. Special visits were made to see the CHD patients from Khadki, Dapodi, Aund, Pimpari, Chinchwad, Vishrantwadi and Katraj in Pune city to interview and complete the psychological measures. After establishing proper rapport and explaining the objectives and purpose of the study the patients of CHD co-operated whole heartedly. All the scales and interview schedule used for this study were given individually to each patient at his residence. All the patients were assured that information given by them would be kept confidential and utilized solely for research purpose only. They were also instructed to ask for clarification of any doubtful item, specific instructions for each scale were printed at the beginning of the scale. No time limit was imposed for the completion of the scales.
\nImmediately within a week the sample of Non-CHD individuals were selected after medical checkup by the physician who labeled them as normal as they were not suffering from any disease. The patients and Non-CHD individuals were matched one to one on each of the variables of age, education, occupation, family type and socioeconomic status. A matched normal was assessed by psychological tests and was interviewed personally by visiting their houses. Initially it was proposed to take 75 numbers of data for both CHD patients and matched normal. But effective rapport and co-operation by CHD patients and matched non-CHD individuals the sample size was increased to 85, out of which four were rejected because the questionnaires were incomplete. In the present study the no of CHD patients were 81 and matched Non-CHD individuals were 81. So the total sample size was 162.
\nData were analyzed with the help of statistical techniques like descriptive statistics, and ‘t’ test. However, a few cases were explained to understand the qualitative analysis.
\nAnalysis of personal data sheet was carried out. A personal data sheet comprising 14 items was prepared. The information in the personal data sheet was sought in order to match patients of CHD and non-CHD individuals on age, education, type of family and socioeconomic status.
\nTable 1 and Figure 1 show age group wise sample distribution. Fifty percent respondents belonged to the age group of 40–50 years. Similarly 14.8% belonged to 30–40 years of age, and 34.6% belonged to 50–60 years of age.
\nAge group (years) | \nCHD patients | \nNon-CHD individuals | \n
---|---|---|
30–40 | \n12 | \n12 | \n
40–50 | \n41 | \n41 | \n
50–60 | \n28 | \n28 | \n
Sample distribution according to age (N = 162).
Sample distribution according to age.
Table 2 and Figure 2 show that there are 53% participants who are having PG education. There are 35.8% participants who were having graduation and remaining 11.2% participants who had completed H.S.C or diploma.
\nEducation | \nCHD patients | \nNon-CHD individuals | \n
---|---|---|
H.S.C./Diploma | \n09 | \n09 | \n
Graduation | \n43 | \n43 | \n
Postgraduation | \n29 | \n29 | \n
Sample distribution according to education (
Sample distribution according to education.
Table 3 and Figure 3 show that 71.6% participants belonged to the nuclear family. Similarly 28.4% belonged to joint family.
\n\n | CHD patients | \nNon-CHD individuals | \n
---|---|---|
Joint family | \n23 | \n23 | \n
Nuclear family | \n58 | \n58 | \n
Sample distribution according to family type (
Sample distribution according to family type.
Table 4 and Figure 4 show socioeconomic status wise sample distribution. 4.9% respondents belonged to the 1,00,000–3,00,000 annual income group. 38.4% respondents belonged to the 3,00,000–6,00,000 annual income group. 35.8% respondents belonged to the 6,00,000–9,00,000 annual income group and similarly 20.9% respondents belonged to 9,00,000 and above annual income group.
\nAnnual income | \nCHD patients | \nNon-CHD individuals | \n
---|---|---|
1,00,000–3,00,000 | \n04 | \n04 | \n
3,00,000–6,00,000 | \n31 | \n31 | \n
6,00,000–9,00,000 | \n29 | \n29 | \n
9,00,000 & above | \n17 | \n17 | \n
Sample distribution according to socio-economic status (
Socio-economic status and percentage of people.
Two case studies have been given to understand experiences of CHD male patients in greater detail. As mentioned earlier, a lifestyle was referred as a general behaviour pattern of an individual which includes health behaviour pattern, job involvement and work style, social interactions, intimacy, locus of control and values. Health behaviour pattern is a set of habits includes sleeping habits, dietary habits, daily exercise, smoking habit and physical and mental health.
\nA CHD patient of 37 years old working as a senior manager from last 2 years. He represents a nuclear family having a wife and a daughter. He had no family history of any disease. He is non-vegetarian and most of the time had outside eatables. He is a chain smoker. He is workaholic, carrier and money oriented and no time to spend with his family. A matched non-CHD individual also non vegetarian but most of time take his meal with family and rarely had outside eatables. He does not have any bad habit like smoking, chewing tobacco, etc. He had perfect compartment of work place and for family. He spends his weekends with picnic, get-together with friends, His priority to people and money.
\nA CHD patient of 45 years working as a senior lecturer from last 14 years. He represents a nuclear family of a wife and two daughters. He had no family history of any disease. He is vegetarian, not spend a single minute for exercise. He always chews tobacco. He is very competitive and always feels unhappy about his life and feels unlucky. He is religious and always depends on god. “I am very unlucky.” “Asel debauch manat tar milel” such type of dialog often with him. He does not spend money, always worried about dowry and marriage of daughters. A matched Non-CHD individual is vegetarian as well as non-vegetarian. He daily takes a walk for half an hour. He is happy go lucky enjoy all the moments and takes responsibility of his work. The qualitative description of the two representative cases of CHD and non-CHD groups clearly demonstrates the noticeable differences in lifestyle factors. Results have been now discussed quantitatively.
\nThe results of present study indicate that the mean differences were statistically significant for subscales of lifestyle.
\nWith reference to Table 5, CHD and lifestyle risk factors showed a significant positive association with sleeping habits, dietary habits, exercise and Smoking respectively. It was also appeared that there was a positive link between poor social interactions, poor intimacy, more external locus of control and more money and religious values. So, the hypothesis, “Patients of Coronary Heart Disease (CHD) would score higher on subscales of lifestyle as compared to matched Non-CHD individuals” is accepted.
\nLifestyle | \nCHD patients | \nNon-CHD individuals | \nt ratio | \n||
---|---|---|---|---|---|
Mean | \nSD | \nMean | \nSD | \n||
Sleeping habit | \n12.02 | \n1.71 | \n5.40 | \n1.35 | \n27.01** | \n
Dietary habit | \n22.44 | \n2.20 | \n9.41 | \n2.16 | \n37.10** | \n
Daily exercise | \n9.42 | \n1.49 | \n5.16 | \n1.20 | \n19.90** | \n
Smoking habit | \n26.88 | \n4.50 | \n13.04 | \n2.14 | \n24.98** | \n
Health | \n12.40 | \n2.19 | \n7.64 | \n1.77 | \n15.15** | \n
Job style | \n65.30 | \n10.53 | \n33.90 | \n5.66 | \n23.61** | \n
Social interactions | \n62.74 | \n7.92 | \n26.35 | \n3.88 | \n37.09** | \n
Intimacy | \n21.75 | \n2.92 | \n12.31 | \n2.17 | \n23.32** | \n
Locus of control | \n43.68 | \n4.94 | \n18.05 | \n4.42 | \n31.43** | \n
Values | \n21.89 | \n4.08 | \n13.14 | \n3.36 | \n14.88** | \n
Means, SDs, and ‘t’ ratios on lifestyle for CHD patients and matched non-CHD individuals.
The results of the present study support the findings of the earlier studies in association with lifestyle and risk of coronary heart disease (CHD). Gupta and Gupta [18] carried out a study on Indian male. In the present study, it was found that lifestyle risk factors like diet, smoking habits plays an important role in development of CHD. Orth-Gomer et al. [20] have demonstrated that low social support and poor social integration predicted incidence of major coronary events. The results revealed that the patients of CHD showed significant differences on locus of control, it indicates that the patients were titled towards external locus of control due to which they experienced the high stress on the other hand the matched non-CHD individuals due to their internal locus of control experienced less amount of stress and remain healthy [21]. The obtained results were discussed in the light of violation of assumption and compared with the results of earlier studies with necessary caution. A positive family history of premature coronary heart disease is recognized as an independent predictor for cardiovascular mortality in the first degree relatives. This will enable public health and behavioral epidemiologists to plan and target appropriate and effective preventive lifestyle techniques to adults. Therefore, its primary prevention is an important factor. Several studies have shown that primary prevention of coronary heart disease by family life education in the community has better benefits compared to secondary prevention for cardiovascular mortality as well as morbidity. Prevention programmers should have a multi-level focus, including individual, family and other social institutions. It is also important to identify subgroups for intervention, so that necessary steps at earlier level itself can be taken for the prevention of lifestyle diseases like coronary heart disease.
\nCHD is a life time disorder; it is difficult to detect the sufferer as this illness does not reveal any overt causal symptoms. Moreover to get the authentic data, it was highly essential to consult the medical practitioners or cardiologists. Therefore, the researcher had to fully depend upon on the data which was available only in hospitals and clinics.
As mentioned in literature, the incidence of CHD is a global health problem which is given only medical attention, the psychological part of it is almost neglected. Though there are many psychological dimensions to it, only lifestyle has been studied in the present research, the other dimensions also needed to be studied.
The research is based on the data from Pune only.
This study was limited to male population only.
Healthy behaviour patterns like sufficient sleep, healthy diet, regular exercise, more social interactions, intimacy, and internal locus of control have beneficial effects among the non-CHD individuals. It is therefore reasonable to promote such a healthy lifestyle to the patients of CHD.
\nThe following suggestions are made for future research:
Further research in this area may examine effects of emotions and coping behaviour in the development of coronary heart disease.
A comparison could make on urban and rural population to find out development of coronary heart disease.
A similar study may be conducted on a sample of female.
The further research in coronary heart disease may use multidimensional model encompassing both environmental variables (stressors) and social variables.
\n
Health Behaviour Pattern
Sleeping Habits
Daily hrs. of sleep: Sleeping Time: Getting Time:
Are you sleeping well? Yes/No.
Always/Often/Sometimes/Rarely/Never
If No, Why?
Do you sleep at daytime? Yes/No.
Always/Often/Sometimes/Rarely/Never
Dietary Habits
Are you veg/non veg/mixed?
If nonveg, How many times in a week?
Are you eating well? Yes/No
Always/Often/Sometimes/Rarely/Never
If No, Why?
Do you take your meal alone/with family/with friends? Yes/No
Always/Often/Sometimes/Rarely/Never
Do you have outside eatables? Yes/No
Always/Often/Sometimes/Rarely/Never
Daily Exercise
Are you doing daily exercise? Yes/No
Always/Often/Sometimes/Rarely/Never
Lonely/With friends?
Daily how much time you spend on exercise?
More than one hour/Less than one hour
Which type of exercise you do?
Smoking Habits
Do you smoke? Yes/No
Always/Often/Sometimes/Rarely/Never
How many times in a day?
How many times in night?
Is their compulsive smoking?
Do you chew tobacco? Yes/No
How many times in a day?
Health
Does your family have a history of illness?
Before this illness are you taking care of your health? Yes/No
Before this illness have you suffered from any minor/major illness? Yes/No
If Yes, When?
Which drugs you had?
Intensity of illness:
From when, you are suffering from this illness?
Does your illness interfere with your life a great deal? Yes/No
Always/Often/Sometimes/Rarely/Never
JOB INVOLVEMENT AND WORK STYLE
Is your present job as per your ability? Yes/No
If No, Why?
Is your present job as per your experience?Yes/No
If No, Why?
Do you have most risky work?
Always/Often/Sometimes/Rarely/Never
Are you doing extra work than your seniors?
Always/Often/Sometimes/Rarely/Never
Is your work challenging?
Always/Often/Sometimes/Rarely/Never
Are you happy with your promotion?
Very much/Quite much/Not much/Very little/Never
At what extent are working conditions in your organization?
Satisfactory/Unsatisfactory/Can’t Say.
Is there high team spirit in your work group?
Yes/No/Can’t Say.
Generally my speed of work compared to others is fast.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
I experienced inability to perform my job.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
I get support from subordinates for my work.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
I get support from my seniors for my work.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
I think my job is reasonably secure.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
I do not feel burdened in my work.
Strongly agree/Agree/Undecided/Disagree/StronglyDisagree
I plan my work in proper way.
Always/Often/Sometimes/Rarely/Never
I do not depend on others for my own work.
Always/Often/Sometimes/Rarely/Never
I involve myself in the work.
Always/Often/Sometimes/Rarely/Never
Are you satisfied with welfare facilities (medical etc.) provided by the organization?
Always/Often/Sometimes/Rarely/Never
If I get similar job in any other organization, I would like to quit this job.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
It is difficult for me to seek balance between my family and career
Always/Often/Sometimes/Rarely/Never
When were you promoted last time?
Have you liked promotion?
Always/Often/Sometimes/Rarely/Never
SOCIAL INTERACTIONS
How many friends do you have?
How many intimate friends?
Do you feel that your friends understand you?
Always/Often/Sometimes/Rarely/Never
Your social interactions are----
Very much/Quite much/Not much/Very little/Never
Is your wife supportive?
Very much/Quite much/Not much/Very little/Never
I am happy with my wife.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I am happy with my family.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I have happiness about my job.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I have happiness about my physical health.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I have happiness about my mental health.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I have difficulty in managing my time.
Always/Often/Sometimes/Rarely/Never
I spare time for my hobbies.
Always/Often/Sometimes/Rarely/Never
Do you feel angry with some people? Yes/No
If yes, Why?
Do you feel awkward with some people? Yes/No
If yes, Why?
Social co-operation helps me in getting success.
Always/Often/Sometimes/Rarely/Never
Do you more irritable towards other people? Yes/No
Never/Rarely/Sometimes/Often/Always
Do you lose your patience with other people? Yes/No
Never/Rarely/Sometimes/Often/Always
INITAMACY
Do you and your partner have friends in common?
None/Few/Many
Do you think that you understand your partner?
Yes, always/Sometimes/Rarely/Never
Do you feel that your partner understands you?
Yes, always/Sometimes/Rarely/Never
Do you visit friends and relatives together?
Always/Occasionally/Rarely/Never
Do you engage in outside hobbies and interests together?
Always/Occasionally/Rarely/Never
Do you share with your partner the responsibility of looking after your child/children?
Always/Occasionally/Rarely/Never
Do you confide in your partner about your personal problems?
Always/Occasionally/Rarely/Never
Do you feel that your partner depends on you rather than her relatives for advice about family matters. Yes/No.
If yes, Always/Occasionally/Rarely/Never
LOCUS OF CONTROL
Illness is a matter of bad luck.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
If it is in your fate, you cannot avoid sickness.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
Keeping good health is a matter of good luck.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I think I can control my illness.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I do not have detail information about my illness.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I think one can maintain good health by paying attention to nutrition, exercise etc.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
God helps us to keep healthy.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
People can help each other in dealing with many diseases.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
There is no use worrying about illness, it will get cured when the time comes.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
I know the steps to get out of this illness.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
Good doctors can cure most illness.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
Whether you feel successful/unsuccessful in your life, give at least five reasons:
(F) VALUES
Give your priority to values given below.
Money, People, Carrier, Religion.
Having a family is more important to me than having a carrier and money.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
Money should be saved for old age.
Agree/Disagree/Can’t say
Earning money only through labour and honestly appears descent.
Strongly Disagree/Disagree/Undecided/Agree/Strongly Agree
Participation in social ceremonies is useless. Yes/No
If yes, Always/Occasionally/Rarely/Never
Man should behave according to religious beliefs?
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
To what extent are you religious?
Very much Quite/Much Quite/Not much/Very little/Never
Keeping fast is necessary on main religious occasions.
Strongly Agree/Agree/Undecided/Disagree/Strongly Disagree
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\\n"}]'},components:[{type:"htmlEditorComponent",content:'1. IntechOpen partners with third-party companies to serve ads and/or collect certain information when you visit our website. These companies may collect non-personally identifiable information (not including your name, address, email address or telephone number) during your visit to IntechOpen's website.
\n\n2. All advertisements and commercially sponsored publications are independent from editorial decisions.
\n\n3. IntechOpen does not endorse any product or service marked as an advertisement on IntechOpen website.
\n\n4. IntechOpen has blocked all the inappropriate types of advertising.
\n\n5. IntechOpen has blocked advertisement of harmful products or services.
\n\n6. Advertisements and editorial content are clearly distinguishable.
\n\n7. Editorial decisions will not be influenced by current or potential advertisers and will not be influenced by marketing decisions.
\n\n8. Advertisers have no control or influence over the results of searches a user may conduct on the website by keyword or topic search.
\n\n9. Types of advertisments:
\n\n- Advertisements in the Physical Sciences, Engineering and Technology, and Social Sciences and Humanities sections of the IntechOpen website are programmatic (based on user behaviour such as web pages visited, content viewed, etc.)
\n\n- Advertisements in the Life Sciences and Health Sciences sections of the IntechOpen website are programmatic as well as contextual based on the content of the respective books and chapters. IntechOpen's third party partner eHealthcare Solutions (EHS) is a unique marketing platform that specializes in connecting niche audiences with healthcare brands.
\n\nYou may view their privacy policy here: https://ehealthcaresolutions.com/privacy-policy/
\n\n10. IntechOpen Advertising Sales department makes the decisions about the types of advertisements to include or exclude. Placement of advertising is at the discretion of IntechOpen. IntechOpen retains the right to reject and/or request modifications to the advertisement. An advertisement that is visible online, will be withdrawn from the site at any time if the Editor(s) or Author(s) request its removal.
\n\n11. Users can make decisions about accepting advertisements. Users can block all the advertisements by using ad blockers. Users can send all the complaints about advertising to: info@intechopen.com.
\n\nPolicy last updated: 2021-04-28
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. 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From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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Their association is unclear. In this chapter, we briefly summarized the epidemiology of liver cirrhosis in stroke, reviewed the current evidence regarding the association between liver cirrhosis and stroke, and discussed the potential mechanisms for explaining such an association, such as coagulopathy, hypoperfusion, cardiac diseases, diabetes, and dyslipidemia.",book:{id:"7031",slug:"liver-pathology",title:"Liver Pathology",fullTitle:"Liver Pathology"},signatures:"Kexin Zheng, Xiaozhong Guo, Xinhong Wang and Xingshun Qi",authors:[{id:"197501",title:"Dr.",name:"Xingshun",middleName:null,surname:"Qi",slug:"xingshun-qi",fullName:"Xingshun Qi"}]},{id:"70754",title:"Diagnosis and Treatment of Hepatoblastoma: An Update",slug:"diagnosis-and-treatment-of-hepatoblastoma-an-update",totalDownloads:768,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Hepatoblastoma is a rare but the most common solid tumor in children. The incidence is gradually increasing. The international collaboration among four centers in the world has greatly improved the prognosis of hepatoblastoma. They formed the Children’s Hepatic Tumor International Collaboration (CHIC) to standardize the staging system (2017 PRETEXT system) and the risk factors for tumor stratification. Multimodal therapy has become the standard for the management of hepatoblastoma, including surgical resection, liver transplantation, chemotherapy, and so on. Surgery is the primary treatment of early stage hepatoblastoma. Three-dimensional reconstruction is helpful for preoperative evaluation of large tumors, assisting extended hepatectomy for patients in PRETEXT III or IV. Neoadjuvant therapy is useful for reducing the tumor volume and increasing the resectability. Primary liver transplantation is recommended for advanced hepatoblastoma. The lungs are the most common metastatic organ, the treatment of which is critical for the patient’s long-term survival. 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The diagnosis should be keep in mind at all ages in patients with hepatic disease, neurological disease, or psychiatric symptoms.",book:{id:"7031",slug:"liver-pathology",title:"Liver Pathology",fullTitle:"Liver Pathology"},signatures:"Nese Karadag Soylu",authors:[{id:"324100",title:"Prof.",name:"Neşe",middleName:null,surname:"Karadağ Soylu",slug:"nese-karadag-soylu",fullName:"Neşe Karadağ Soylu"}]}],onlineFirstChaptersFilter:{topicId:"1102",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:139,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:122,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:21,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. 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He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. 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He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. 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He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. 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(Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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He worked as a Executive Research & Development @ Cadila Pharmaceuticals Ltd, Ahmedabad. He received DBT-postdoc fellow @ Molecular Biophysics Unit, Indian Institute of Science, Bangalore under the supervision of Prof. P. Balaram, later he moved to NIH-postdoc researcher at Drexel University College of Medicine, Philadelphia, USA, after his return from postdoc joined NITK-Surthakal as a Adhoc faculty at department of chemistry. Since from August 2013 working as a Associate Professor, and in 2016 promoted to Profeesor in the School of Basic Sciences: Department of Chemistry and having 20 years of teaching and research experiences.",institutionString:null,institution:{name:"Rani Channamma University, Belagavi",country:{name:"India"}}},{id:"158492",title:"Prof.",name:"Yusuf",middleName:null,surname:"Tutar",slug:"yusuf-tutar",fullName:"Yusuf Tutar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/158492/images/system/158492.jpeg",biography:"Prof. Dr. Yusuf Tutar conducts his research at the Hamidiye Faculty of Pharmacy, Department of Basic Pharmaceutical Sciences, Division of Biochemistry, University of Health Sciences, Turkey. He is also a faculty member in the Molecular Oncology Program. He obtained his MSc and Ph.D. at Oregon State University and Texas Tech University, respectively. He pursued his postdoctoral studies at Rutgers University Medical School and the National Institutes of Health (NIH/NIDDK), USA. His research focuses on biochemistry, biophysics, genetics, molecular biology, and molecular medicine with specialization in the fields of drug design, protein structure-function, protein folding, prions, microRNA, pseudogenes, molecular cancer, epigenetics, metabolites, proteomics, genomics, protein expression, and characterization by spectroscopic and calorimetric methods.",institutionString:"University of Health Sciences",institution:null},{id:"180528",title:"Dr.",name:"Hiroyuki",middleName:null,surname:"Kagechika",slug:"hiroyuki-kagechika",fullName:"Hiroyuki Kagechika",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180528/images/system/180528.jpg",biography:"Hiroyuki Kagechika received his bachelor’s degree and Ph.D. in Pharmaceutical Sciences from the University of Tokyo, Japan, where he served as an associate professor until 2004. He is currently a professor at the Institute of Biomaterials and Bioengineering (IBB), Tokyo Medical and Dental University (TMDU). From 2010 to 2012, he was the dean of the Graduate School of Biomedical Science. Since 2012, he has served as the vice dean of the Graduate School of Medical and Dental Sciences. He has been the director of the IBB since 2020. Dr. Kagechika’s major research interests are the medicinal chemistry of retinoids, vitamins D/K, and nuclear receptors. He has developed various compounds including a drug for acute promyelocytic leukemia.",institutionString:"Tokyo Medical and Dental University",institution:{name:"Tokyo Medical and Dental University",country:{name:"Japan"}}},{id:"94311",title:"Prof.",name:"Martins",middleName:"Ochubiojo",surname:"Ochubiojo Emeje",slug:"martins-ochubiojo-emeje",fullName:"Martins Ochubiojo Emeje",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94311/images/system/94311.jpeg",biography:"Martins Emeje obtained a BPharm with distinction from Ahmadu Bello University, Nigeria, and an MPharm and Ph.D. from the University of Nigeria (UNN), where he received the best Ph.D. award and was enlisted as UNN’s “Face of Research.” He established the first nanomedicine center in Nigeria and was the pioneer head of the intellectual property and technology transfer as well as the technology innovation and support center. Prof. Emeje’s several international fellowships include the prestigious Raman fellowship. He has published more than 150 articles and patents. He is also the head of R&D at NIPRD and holds a visiting professor position at Nnamdi Azikiwe University, Nigeria. He has a postgraduate certificate in Project Management from Walden University, Minnesota, as well as a professional teaching certificate and a World Bank certification in Public Procurement. 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He received his post-doctoral training in oncology and cancer proteomics for two years at the Cancer Research Institute of Human Medical University in China. In 2001, he went to the University of Tennessee Health Science Center (UTHSC) in USA, where he was a post-doctoral researcher and focused on mass spectrometry and cancer proteomics. Then, he was appointed as an Assistant Professor of Neurology, UTHSC in 2005. He moved to the Cleveland Clinic in USA as a Project Scientist/Staff in 2006 where he focused on the studies of eye disease proteomics and biomarkers. He returned to UTHSC as an Assistant Professor of Neurology in the end of 2007, engaging in proteomics and biomarker studies of lung diseases and brain tumors, and initiating the studies of predictive, preventive, and personalized medicine (PPPM) in cancer. In 2010, he was promoted to Associate Professor of Neurology, UTHSC. Currently, he is a Professor at Xiangya Hospital of Central South University in China, Fellow of Royal Society of Medicine (FRSM), the European EPMA National Representative in China, Regular Member of American Association for the Advancement of Science (AAAS), European Cooperation of Science and Technology (e-COST) grant evaluator, Associate Editors of BMC Genomics, BMC Medical Genomics, EPMA Journal, and Frontiers in Endocrinology, Executive Editor-in-Chief of Med One. He has\npublished 116 peer-reviewed research articles, 16 book chapters, 2 books, and 2 US patents. His current main research interest focuses on the studies of cancer proteomics and biomarkers, and the use of modern omics techniques and systems biology for PPPM in cancer, and on the development and use of 2DE-LC/MS for the large-scale study of human proteoforms.",institutionString:null,institution:{name:"Xiangya Hospital Central South University",country:{name:"China"}}},{id:"40482",title:null,name:"Rizwan",middleName:null,surname:"Ahmad",slug:"rizwan-ahmad",fullName:"Rizwan Ahmad",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/40482/images/system/40482.jpeg",biography:"Dr. Rizwan Ahmad is a University Professor and Coordinator, Quality and Development, College of Medicine, Imam Abdulrahman bin Faisal University, Saudi Arabia. Previously, he was Associate Professor of Human Function, Oman Medical College, Oman, and SBS University, Dehradun. Dr. Ahmad completed his education at Aligarh Muslim University, Aligarh. He has published several articles in peer-reviewed journals, chapters, and edited books. His area of specialization is free radical biochemistry and autoimmune diseases.",institutionString:"Imam Abdulrahman Bin Faisal University",institution:{name:"Imam Abdulrahman Bin Faisal University",country:{name:"Saudi Arabia"}}},{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",biography:"Farid A. Badria, Ph.D., is the recipient of several awards, including The World Academy of Sciences (TWAS) Prize for Public Understanding of Science; the World Intellectual Property Organization (WIPO) Gold Medal for best invention; Outstanding Arab Scholar, Kuwait; and the Khwarizmi International Award, Iran. He has 250 publications, 12 books, 20 patents, and several marketed pharmaceutical products to his credit. He continues to lead research projects on developing new therapies for liver, skin disorders, and cancer. Dr. Badria was listed among the world’s top 2% of scientists in medicinal and biomolecular chemistry in 2019 and 2020. He is a member of the Arab Development Fund, Kuwait; International Cell Research Organization–United Nations Educational, Scientific and Cultural Organization (ICRO–UNESCO), Chile; and UNESCO Biotechnology France",institutionString:"Mansoura University",institution:{name:"Mansoura University",country:{name:"Egypt"}}},{id:"329385",title:"Dr.",name:"Rajesh K.",middleName:"Kumar",surname:"Singh",slug:"rajesh-k.-singh",fullName:"Rajesh K. Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",biography:"Dr. Singh received a BPharm (2003) and MPharm (2005) from Panjab University, Chandigarh, India, and a Ph.D. (2013) from Punjab Technical University (PTU), Jalandhar, India. He has more than sixteen years of teaching experience and has supervised numerous postgraduate and Ph.D. students. He has to his credit more than seventy papers in SCI- and SCOPUS-indexed journals, fifty-five conference proceedings, four books, six Best Paper Awards, and five projects from different government agencies. He is currently an editorial board member of eight international journals and a reviewer for more than fifty scientific journals. He received Top Reviewer and Excellent Peer Reviewer Awards from Publons in 2016 and 2017, respectively. He is also on the panel of The International Reviewer for reviewing research proposals for grants from the Royal Society. He also serves as a Publons Academy mentor and Bentham brand ambassador.",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",country:{name:"India"}}},{id:"142388",title:"Dr.",name:"Thiago",middleName:"Gomes",surname:"Gomes Heck",slug:"thiago-gomes-heck",fullName:"Thiago Gomes Heck",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/142388/images/7259_n.jpg",biography:null,institutionString:null,institution:{name:"Universidade Regional do Noroeste do Estado do Rio Grande do Sul",country:{name:"Brazil"}}},{id:"336273",title:"Assistant Prof.",name:"Janja",middleName:null,surname:"Zupan",slug:"janja-zupan",fullName:"Janja Zupan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/336273/images/14853_n.jpeg",biography:"Janja Zupan graduated in 2005 at the Department of Clinical Biochemistry (superviser prof. dr. Janja Marc) in the field of genetics of osteoporosis. Since November 2009 she is working as a Teaching Assistant at the Faculty of Pharmacy, Department of Clinical Biochemistry. In 2011 she completed part of her research and PhD work at Institute of Genetics and Molecular Medicine, University of Edinburgh. She finished her PhD entitled The influence of the proinflammatory cytokines on the RANK/RANKL/OPG in bone tissue of osteoporotic and osteoarthritic patients in 2012. From 2014-2016 she worked at the Institute of Biomedical Sciences, University of Aberdeen as a postdoctoral research fellow on UK Arthritis research project where she gained knowledge in mesenchymal stem cells and regenerative medicine. She returned back to University of Ljubljana, Faculty of Pharmacy in 2016. She is currently leading project entitled Mesenchymal stem cells-the keepers of tissue endogenous regenerative capacity facing up to aging of the musculoskeletal system funded by Slovenian Research Agency.",institutionString:null,institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"357453",title:"Dr.",name:"Radheshyam",middleName:null,surname:"Maurya",slug:"radheshyam-maurya",fullName:"Radheshyam Maurya",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/357453/images/16535_n.jpg",biography:null,institutionString:null,institution:{name:"University of Hyderabad",country:{name:"India"}}},{id:"418340",title:"Dr.",name:"Jyotirmoi",middleName:null,surname:"Aich",slug:"jyotirmoi-aich",fullName:"Jyotirmoi Aich",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038Ugi5QAC/Profile_Picture_2022-04-15T07:48:28.png",biography:"Biotechnologist with 15 years of research including 6 years of teaching experience. Demonstrated record of scientific achievements through consistent publication record (H index = 13, with 874 citations) in high impact journals such as Nature Communications, Oncotarget, Annals of Oncology, PNAS, and AJRCCM, etc. Strong research professional with a post-doctorate from ACTREC where I gained experimental oncology experience in clinical settings and a doctorate from IGIB where I gained expertise in asthma pathophysiology. A well-trained biotechnologist with diverse experience on the bench across different research themes ranging from asthma to cancer and other infectious diseases. An individual with a strong commitment and innovative mindset. Have the ability to work on diverse projects such as regenerative and molecular medicine with an overall mindset of improving healthcare.",institutionString:"DY Patil Deemed to Be University",institution:null},{id:"349288",title:"Prof.",name:"Soumya",middleName:null,surname:"Basu",slug:"soumya-basu",fullName:"Soumya Basu",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035QxIDQA0/Profile_Picture_2022-04-15T07:47:01.jpg",biography:"Soumya Basu, Ph.D., is currently working as an Associate Professor at Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India. With 16+ years of trans-disciplinary research experience in Drug Design, development, and pre-clinical validation; 20+ research article publications in journals of repute, 9+ years of teaching experience, trained with cross-disciplinary education, Dr. Basu is a life-long learner and always thrives for new challenges.\r\nHer research area is the design and synthesis of small molecule partial agonists of PPAR-γ in lung cancer. She is also using artificial intelligence and deep learning methods to understand the exosomal miRNA’s role in cancer metastasis. Dr. Basu is the recipient of many awards including the Early Career Research Award from the Department of Science and Technology, Govt. of India. She is a reviewer of many journals like Molecular Biology Reports, Frontiers in Oncology, RSC Advances, PLOS ONE, Journal of Biomolecular Structure & Dynamics, Journal of Molecular Graphics and Modelling, etc. She has edited and authored/co-authored 21 journal papers, 3 book chapters, and 15 abstracts. She is a Board of Studies member at her university. She is a life member of 'The Cytometry Society”-in India and 'All India Cell Biology Society”- in India.",institutionString:"Dr. D.Y. Patil Vidyapeeth, Pune",institution:{name:"Dr. D.Y. 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He pursued post-doctoral research at College of Pharmacy, Health Science Center, Texas A & M University and was involved in another postdoctoral research at Department of Translational Neurosciences and Neurotherapeutics, John Wayne Cancer Institute, Santa Monica, California. In 2015, he worked in Harvard-MIT Health Sciences & Technology as a visiting scientist. He has substantial experience in nanotechnology-based formulation development and successfully served various Indian organizations to develop pharmaceuticals and nutraceutical products. He is an inventor in many US patents and an author in many peer-reviewed articles, book chapters and books published in various media of international repute. Dr. Mukherjee is currently serving as Principal Scientist, R&D at Esperer Onco Nutrition (EON) Pvt. 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In 2019, he completed his Ph.D. program in the Department of Biochemistry at the Institute of Health Sciences. He is currently working at the Department of Biochemistry, Kafkas University. He has 27 published research articles in academic journals, 11 book chapters, and 37 papers. He took part in 10 academic projects. He served as a reviewer for many articles. He still serves as a member of the review board in many academic journals. 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He graduated from the Semashko Moscow Medical Institute (Semashko National Research Institute of Public Health) with a degree in Medicine (1998), the Clinical Department of Dermatovenerology (2000), and received a second higher education in Psychology (2009). Professor A.V. Grechko held the position of Сhief Physician of the Central Clinical Hospital in Moscow. He worked as a professor at the faculty and was engaged in scientific research at the Medical University. Starting in 2013, he has been the initiator of the creation of the Federal Scientific and Clinical Center for Intensive Care and Rehabilitology, Moscow, Russian Federation, where he also serves as Director since 2015. 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She has been a Professor since 1996. Currently, she is the Head of the Laboratory of Metabolism, a division of the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation. N.V. Beloborodova has many years of clinical experience in the field of intensive care and surgery. She studies infectious complications and sepsis. She initiated a series of interdisciplinary clinical and experimental studies based on the concept of integrating human metabolism and its microbiota. Her scientific achievements are widely known: she is the recipient of the Marie E. Coates Award \\"Best lecturer-scientist\\" Gustafsson Fund, Karolinska Institutes, Stockholm, Sweden, and the International Sepsis Forum Award, Pasteur Institute, Paris, France (2014), etc. Professor N.V. 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This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11411,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. 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