Greenhouse gas emissions and carbon sinks in agricultural activities, 1990-2005 (CO2 equivalent).
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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"854",leadTitle:null,fullTitle:"Micromachining Techniques for Fabrication of Micro and Nano Structures",title:"Micromachining Techniques for Fabrication of Micro and Nano Structures",subtitle:null,reviewType:"peer-reviewed",abstract:"Micromachining is used to fabricate three-dimensional microstructures and it is the foundation of a technology called Micro-Electro-Mechanical-Systems (MEMS). 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The book offers an immersion into multiple pregnancy. Each chapter presents the reader with various important issues related to the subject matter. The book covers all spectrums of multiple pregnancy such as epidemiology, etiology, diagnosis, prenatal care, unique complications in monochorionic pregnancies, preterm birth and mode of delivery. Through its 10 chapters the book contemplates the most relevant aspects of multiple pregnancy. Authors from all over the world have contributed to this book, bringing the best from their research experiences. The book give the reader a state-of-the-art update of multiple pregnancy.",isbn:"978-1-78985-080-2",printIsbn:"978-1-78985-079-6",pdfIsbn:"978-1-83881-764-0",doi:"10.5772/intechopen.73973",price:119,priceEur:129,priceUsd:155,slug:"multiple-pregnancy-new-challenges",numberOfPages:232,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"f599a465410812da5aee0b247d427e9b",bookSignature:"Julio Elito Jr.",publishedDate:"January 30th 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7173.jpg",keywords:null,numberOfDownloads:11774,numberOfWosCitations:2,numberOfCrossrefCitations:5,numberOfDimensionsCitations:9,numberOfTotalCitations:16,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 22nd 2018",dateEndSecondStepPublish:"March 15th 2018",dateEndThirdStepPublish:"May 14th 2018",dateEndFourthStepPublish:"August 2nd 2018",dateEndFifthStepPublish:"October 1st 2018",remainingDaysToSecondStep:"4 years",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:"Edited by",kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"35132",title:"Prof.",name:"Julio",middleName:null,surname:"Elito Jr.",slug:"julio-elito-jr.",fullName:"Julio Elito Jr.",profilePictureURL:"https://mts.intechopen.com/storage/users/35132/images/system/35132.jpeg",biography:"Prof. Julio Elito Junior PhD graduated in Medicine from Federal University of São Paulo (UNIFESP) - Brazil in1989. He obtained his Master in 1995 and his Doctorate in 1997 both from UNIFESP. He is a specialist in laparoscopy (Cleveland Clinic Foundation, 2000) and has a PhD in reproductive medicine (2008). Due to the relevance of his research he obtained the title of Associate Professor of the Department of Obstetrics of UNIFESP (2006). He has experience in the field of Medicine, with emphasis in Gynecology and Obstetrics, acting mainly in the following subjects: ectopic pregnancy, methotrexate, ultrasonography, beta-hCG, polymorphisms, serological markers and multiple pregnancy. He has published a predictive score for medical treatment in ectopic pregnancy and reference charts for twins. He has published 68 articles in international and national journals, is a reviewer in several national and international journals, and a speaker at a number of national and international congresses. He wrote the book 'Ectopic Pregnancy' (2010), was an editor of the books 'Multiple Pregnancy - New Challenges' (2019) and 'Non-Tubal Ectopic Pregnancy' (2020), as well as an author of numerous chapters in national and international books. He has been nominated several times as an honored Professor by his students at the Medical School of Federal University of São Paulo (UNIFESP).",institutionString:"Federal University of Sao Paulo",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Federal University of Sao Paulo",institutionURL:null,country:{name:"Brazil"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1067",title:"Maternal-Fetal Medicine",slug:"maternal-fetal-medicine"}],chapters:[{id:"62717",title:"Historical Studies of Hellin’s Law",slug:"historical-studies-of-hellin-s-law",totalDownloads:932,totalCrossrefCites:0,authors:[{id:"249480",title:"Prof.",name:"Johan",surname:"Fellman",slug:"johan-fellman",fullName:"Johan Fellman"}]},{id:"62902",title:"Twinning as an Evolved Age-Dependent Physiological Mechanism: Evidence from Large Brazilian 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Climate change is the biggest threat to humanity with implications for food production, natural ecosystems, health etc. The primary greenhouse gases are carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Although carbon dioxide is the most prevalent greenhouse gas in the atmosphere, nitrous oxide and methane have longer durations in the atmosphere and absorb more long-wave radiations. Therefore, small quantities of methane and nitrous oxide can have significant effects on climate change. The mean global level of greenhouse gases in the atmosphere is increasing to a level that can generate serious climate changes in air temperature, aggressive weather cycles and greater frequency of storms (Osborn et al., 2000). The primary sources of greenhouse gases in agriculture are the production of nitrogen based fertilizers; the combustion of fossil fuels such as coal, gasoline, diesel fuel, natural gas; and waste management. Livestock enteric fermentation results in methane emissions. Increased levels of greenhouse gases enhance the naturally occurring greenhouse effect by trapping even more of the sun’s heat, resulting in a global warming effect. The average surface temperature of the earth is likely to increase by 2 to 11.5°F (1.1-6.4°C) by the end of the 21st century, relative to 1980-1990, with a best estimate of 3.2 to 7.2°F (1.8-4.0°C) (Fig. 1). The average rate of warming over each inhabited continent is very likely to be at least twice as large as that experienced during the 20th century.
These changes in greenhouse gas emissions generally are linked to human activities. Scientists have concluded that warming of the climate system is “equivocal" and there is a "very high confidence that the globally averaged net effect of human activity since 1750 has been one of warming" (IPCC, 2007). The concentration of carbon dioxide (CO2) in the atmosphere increased from 285 ppm at the end of the nineteenth century, before the industrial revolution, to about 366 ppm in 1998 (equivalent to a 28-percent increase) as a consequence of anthropogenic emissions of about 405 gigatonnes of carbon (C) (± 60 gigatonnes C) into the atmosphere (IPCC, 2001). This increase was the result of fossil-fuel combustion and cement production (67 percent) and land-use changes (33 percent). Acting as carbon sinks, the marine and terrestrial ecosystems have absorbed 60 percent of these emissions while the remaining 40 percent has resulted in the observed increase in atmospheric CO2 concentration. Agricultural ecosystems represent 11% of the earth’s land surface and include some of the most productive and carbon-rich soils. Agriculture accounts for approximately 13% of total global anthropogenic emissions and is responsible for about 47% and 58% of total anthropogenic emissions of methane (CH4) and nitrous oxide (N2O). Besides CH4 from enteric fermentation (32%), N2O emissions from soils due to fertilization constitute the largest sources (38%) from agriculture (US-EPA, 2006; IPCC, 2007; Stern, 2006). The annual greenhouse gas emissions from agriculture are expected to increase in coming decades due to increased demand for food and shifts in diet. Conservation tillage, nutrient management, cover cropping and crop rotation can drastically increase the amount of carbon stored in soils. Now scientists use carbon dioxide equivalents to calculate a universal measurement of greenhouse gas emissions as greenhouse gases have varying global warming potentials Table (1).
Temperature projections to the year 2100, based on a range of emission scenarios and global climate models. The orange line (“constant CO
Sources | 1990 | 1995 | 2000 | 2005 | Avg. 2001-2005 |
Million metric tons CO2 equivalent (MMTCO2- Eq) | |||||
U. S. Agricultural Activities | |||||
GHG Emissions (CH4 and N2O) | |||||
Agriculture soil managementa | 366.9 | 353.4 | 376.8 | 365.1 | 370.9 |
Enteric fermentationb | 115.7 | 120.6 | 113.5 | 112.1 | 115.0 |
Manure management | 39.5 | 44.1 | 48.3 | 50.8 | 45.6 |
Rice cultivation | 7.1 | 7.6 | 7.5 | 6.9 | 7.4 |
Agricultural residue burning | 1.1 | 1.1 | 1.3 | 1.4 | 1.2 |
Subtotal | 530.3 | 526.8 | 547.4 | 536.3 | 540.1 |
Carbon sinks | |||||
Agricultural soils | (33.9) | (30.1) | (29.3) | (32.4) | (31.7) |
Other | NA | NA | NA | NA | NA |
Subtotal | (33.9) | (30.1) | (29.3) | (32.4) | (31.7) |
Net emissions, Agriculture | 496.4 | 496.7 | 518.1 | 503.9 | 508.4 |
Attributable CO2 emissionsc Fossil fuel/mobile combustion | 46.8 | 57.3 | 50.9 | 45.5 | 52.6 |
% All emissions, Agricultured | 8.5% | 8.0% | 7.7% | 7.4% | 8.0% |
% Total sinks, Agriculture | 4.8% | 3.6% | 3.9% | 3.9% | 4.0% |
% Total emissions, forestry | 0.2% | 0.2% | 0.2% | 0.3% | 0.3% |
% Total sinks, forestrye | 94.3% | 92.0% | 94.8% | 94.7% | 95.0% |
Total GHG emissions, All sectors | 6,242.0 | 6,571.0 | 7,147.2 | 7,260.4 | 6,787.1 |
Total carbon sinks, All sectors | (712.8) | (828.8) | (756.7) | (828.5) | (801.0) |
Net emissions, All sectors | 5,529.2 | 5,742.2 | 6,390.5 | 6,431.9 | 5,986.1 |
Greenhouse gas emissions and carbon sinks in agricultural activities, 1990-2005 (CO2 equivalent).
Soils are the fundamental foundation of our food security, global economy and environmental quality, the degradation of soil conditions can affect the on-farm environment. The soil environment is a principal component of the global carbon (C) cycle where key interactions between biotic and abiotic components take place to regulate the flow of materials to and from the pedosphere, atmosphere and hydrosphere. There is general agreement that although soil is part of the climate change problem, it is also an integral part of the solution. Soils altogether contain an estimated 1,700 Gt (billion metric tons) to a depth of 1 m and as much as 2,400 Gt to a depth of 2 m (Fig.2). An estimated additional 560 Gt is contained in terrestrial biota (plants and animals). The carbon in the atmosphere is estimated to total 750 Gt. The amount of organic carbon in soils is more than four times the amount of carbon in terrestrial biota and three times that in the atmosphere. Lal et al., (1999) estimated historic loss of ecosystem C due to desertification at 9–14 Pg of SOC pool, with losses from the biotic/vegetation pool at 10–15 Pg. Ojima et al., (1993) estimated that grasslands and drylands of the world have lost 13–24 Pg C due to desertification.
Carbon reserve and exchange in the land- ocean- atmosphere continuum (Quantitative estimates regarding fossil fuels in ocean sediments vary widely)
Carbon dioxide is removed from the atmosphere and converted to organic carbon through the process of photosynthesis. As organic carbon decomposes, it is converted back to carbon dioxide through the process of respiration. The quantity of organic carbon in soils is spatially and temporally variable, depending on the balance of inputs versus outputs. The inputs are due to the absorption of carbon dioxide from the atmosphere in the process of photosynthesis and its incorporation into the soil by the residues of plants and animals. Some of the dead plant matter is incorporated into the soil in humus, thereby enhancing the soil organic carbon pool. Decomposition of soil organic matter, releases carbon dioxide under aerobic conditions and methane under anaerobic conditions. In certain conditions, decomposition of organic matter may also cause the release of nitrous oxide, which is another powerful greenhouse gas. The content of organic carbon in soils in most cases constitutes less than 5% of the mass of soil material and is generally concentrated mainly in the upper 20 to 40 cm (the so-called topsoil). However, that content varies greatly, from less than 1% by mass in some arid-zone soils (Aridisols) to 50% or more in waterlogged organic soils such as Histosols (Table 2). Changes in agricultural activities and land use system during the past centuries have made soils act as net sources of atmospheric CO2. Evidence from long-term experiments suggests that carbon losses due to oxidation and erosion can be reversed with soil management practices that minimize soil disturbance and optimize plant yield through fertilization. Appropriate land management practices can result in a significant increase in the rate of carbon into the soil. Because of the relatively long turnover time of some soil carbon fractions, this could result in storage of a sizable amount of carbon in the soil for several decades. Maintaining soil quality can reduce problems of land degradation, decreasing soil fertility and rapidly declining production levels that occur in large parts of the world which lack the basic principles of good farming practices. The loss of rain water that cannot infiltrate in the soils to replenish the ground water reserves might be the more serious long-term result of excessive tillage. Thus, the way soil is cultivated must be drastically changed.
Soil Order | Area 103 km2 | Organic C Gt |
13,159 | 90.8 | |
975 | 29.8 | |
15,464 | 54.1 | |
23,432 | 232.0 | |
11,869 | 237.5 | |
1,526 | 312.1 | |
19,854 | 323.6 | |
9,161 | 120.0 | |
9,811 | 99.1 | |
4,596 | 67.1 | |
10,550 | 98.1 | |
3,160 | 18.3 | |
7,110 | 17.1 | |
130,667 | 1,699.6 |
Estimated mass of carbon in the worlds soils resources
Degradation of soil is especially important in drylands of the world where desertification is a serious problem (UNEP, 1992). The world’s drylands, 6.31 billion hectares (Bha) or 47% of the earth’s land area, are found in a wide range of climates spanning from hot to cold. According to FAO (1993), drylands comprise four ecoregions covering land area of 0.98 Bha in hyper-arid, 1.57 Bha in arid, 2.31 Bha in semi-arid and 1.29 Bha in dry sub-humid climates (Table 3). Soils of the drylands also vary widely, but are mostly Aridisols (2.12 Bha) and Entisols (2.33 Bha). Dryland soils also include Alfisols (0.38 Bha), Mollisols (0.80 Bha), Vertisols (0.21 Bha) and others (0.47 Bha) (Dregne, 1976; Noin and Clark, 1997). The arid zones cover about 15 percent of the land surface. The annual rainfall in these areas is up to 200 mm in winter-rainfall areas and 300 mm in summer rainfall areas. Interannual variability is 50–100 percent. Africa and Asia have the largest extension of arid zones (Table 4).
Region | Hyper-arid(<0.05)a | Arid (0.05-0.20) | Semi-arid (0.20-0.50) | Dry sub-humid (0.50-0.65) | Total | % of Earth’s land area |
Africa | 67 | 0.5 | o.51 | 0.27 | 1.96 | 15.0 |
Asia | 0.28 | 0.63 | 0.69 | 0.35 | 1.95 | 14.9 |
Australia | 0 | 0.30 | 0.31 | 0.05 | 0.66 | 5.1 |
Europe | 0 | 0.01 | 0.11 | 0.18 | 0.30 | 2.3 |
N. America | 0.003 | 0.08 | 0.42 | 0.23 | 0.74 | 5.6 |
S. America | 0.03 | 0.05 | 0.27 | 0.21 | 0.54 | 4.2 |
Total | 0.98 | 1.57 | 2.31 | 1.29 | 6.15 | |
% of Earth’s land area | 7.5 | 12.1 | 17.7 | 9.9 | 47.2 |
Global distribution of drylands of the world (modified from Middleton and Thomas 1992, Noin and Clarke 1997, Reynolds and Smith 2002)
Continent | Extension | Percentage | ||||
Arid | Semi-arid | Dry subhumid | Arid | Semi-arid | Dry subhumid | |
Million ha | ||||||
Africa | 467.60 | 611.35 | 219.16 | 16.21 | 21.20 | 7.60 |
Asia | 704.30 | 727.97 | 225.51 | 25.48 | 26.34 | 8.16 |
Oceanta | 459.50 | 211.02 | 38.24 | 59.72 | 27.42 | 4.97 |
Europe | 0.30 | 94.26 | 123.47 | 0.01 | 1.74 | 2.27 |
North/Central America | 4.27 | 130.71 | 382.09 | 6.09 | 17.82 | 4.27 |
South America | 5.97 | 122.43 | 250.21 | 7.11 | 14.54 | 5.97 |
Total | 1641.95 | 1897.74 | 1238.68 |
The global dryland areas by continent
Desertification is defined as destruction of the biological potential of land which can lead ultimately to desert-like conditions’ (UNEP, 1977). In this context, the term ‘land’ includes whole ecosystems comprising soil, water, vegetation, crops and animals. The term ‘degradation’ implies reduction of resource potential by one or a combination of degradative processes including erosion by water and wind and the attendant sedimentation. The process of desertification is not confined to the drylands of the tropics it also occurs in developed countries (U.S.A.), high latitude humid ecoregions (Iceland) and even humid regions (tropical rainforest). Traditionally desertification has been defined as land degradation in arid, semi-arid, and dry sub-humid areas resulting from climatic variations and human activities (Le Hou´erou, 1975, Warren, 1996, UNEP, 1992), but it has also been observed in cool, humid climates such as iceland (Arnalds, 2000). The land area prone to desertification has been estimated at 3.5–4.0 Bha or 57%–65% of the total land area of dryland ecosystems (UNEP, 1991). Of this, the land area affected by soil degradation alone (excluding vegetation degradation) ranges from 1.02 (UNEP, 1991) to 1.14 Bha (Oldeman and Van Lynden, 1998). The estimates of current rate of desertification also vary widely. Mainguet (1991) estimated the annual rate of desertification at about 5.8 million hectares (Mha), with 55% occurring in rangeland and 45% on rainfed cropland. Desertification in humid areas results mainly from land misuse and soil mismanagement. Estimates of the extent of desertification range widely and are highly subjective. UNEP estimated 3.97 Bha in 1977, 3.48 Bha in 1984 and 3.59 Bha in 1992 (UNEP, 1992). Land area affected by desertification was estimated at 3.25 Bha by Dregne (1983) and 2.0 Bha by Mabbutt (1984). According to the GLASOD methodology (Oldeman and Van Lynden, 1998), land area affected by desertification due to soil degradation is estimated at 1.14 Bha (Table 5). As with the area affected, estimates of the current rates of desertification also vary widely. The annual rate of desertification is estimated at 5.8 million hectares (Mha) or 0.13% of the dryland in mid latitudes. Also desertification is considered as a biophysical process driven by socio-economic and political factors (Mortimore, 1994; Mainguet and Da Silva, 1998). Two principal biophysical processes leading to desertification are erosion and salinization. Accelerated soil erosion by wind and water are severe in semi-arid and arid regions (Balba 1995; Baird, 1997), especially those in the Mediterranean climates (Brandt and Thornes, 1996; Conacher and Sala, 1998a,b). Salinization is a major problem on irrigated lands. The irrigated land area in the world has increased 50 fold during the last three centuries which was 5 Mha in 1700, 8 Mha in 1800, 48 Mha in 1900, and 255 Mha in 2000. Risks of secondary salinization are exacerbated by use of poor quality water, poor drainage and excessive irrigation, leakage of water due to a defective delivery system, impeded or slow soil drainage and other causes. Salinization is a severe problem in China, India, Pakistan, and in countries of Central Asia (Babaev, 1999). The extent of land area salinized is 89% in Turkmenistan, 51% in Uzbekistan, 15% in Tadjikstan, 12% in Kyrgyzstan and 49% of the entire region (Pankova and Solovjev, 1995; Esenov and Redjepbaev, 1999). Salinization is also a problem in southwestern U.S.A., northern Mexico and dry regions of Canada (Balba, 1995). Lal et al., (1999) estimated that soil erosion in drylands leads to emission of 0.21–0.26 Pg C/y, with an additional 0.02–0.03 Pg C/y due to exposure of carbonaecous material to climatic elements caused by surface soil erosion. Therefore, total annual emission of C due to erosion- induced land degradation in dryland ecosystems may be 0.23–0.29 Pg C/y.
Land type | Area (Bha) | Type of soil degradation | Area (Bha) |
Degraded irrigated lands | 0.043 | Water erosion | 0.478 |
Degraded rainfed croplands | 0.216 | Wind erosion | 0.513 |
Degraded rangelands (Soil and vegetation) | 0.757 | Chemical degradation | 0.111 |
Sub-total | 1.016 | Physical degradation | 0.035 |
Degraded rangelands (Soil and vegetation) | 2.576 | Total | 1.137 |
Total | 3.592 | Light | 0.489 |
Total land area | 5.172 | Moderate | 0.509 |
% degraded 69.5 | Severe and extreme | 0.139 | |
Total | 1.137 |
GLASOD estimates of desertification (e.g. land degradation in dry areas excluding hyber-arid areas)
The soil organic C storage decrease with increase in temperature and increases with increase in soil water content. Studies show that a 30C increase in temperature is projected to decrease soil organic C concentration by about 11% in the upper 30 cm soil depth and increase CO2 emission by 8 %. This may to some extent be counteracted by higher uptake of carbon dioxide by plants as they grow faster in warmer conditions and store carbon as biomass both in the soil and the plant. The world’s dryland soils contain 241 Pg of soil organic carbon (SOC) (Eswaran et al., 2000), which is about 40 times more than what was added into the atmosphere through anthropogenic activities, estimated at 6.3 Pg C/y during the 1990s (Schimel et al., 2001 IPCC, 2001). In addition, dryland soils contain at least as much as or more soil inorganic carbon (SIC) than SOC pool (Batjes, 1998; Eswaran et al., 2000). Total dryland soil organic carbon reserves comprise 27% of the global soil organic carbon reserves (MA, 2005). The soil properties, such as the chemical composition of soil organic matter and the matrix in which it is held, determine the different capacities of the land to act as a store for carbon that has direct implications for capturing greenhouse gases (FAO, 2004). Management of both SOC and SIC pools in dryland ecosystems can play a major role in reducing the rate of enrichment of atmospheric CO2 (Lal, 2002).
Most soils may lose one-half to two-thirds of their SOC pool within 5 years in the tropics and 50 years in temperate regions. The new equilibrium may be attained after losing 20–50 Mg C/ha. Several studies has estimated the global loss at 40 Pg by Houghton (1995), 55 Pg by IPCC (1996) and Schimel (1998), 66–90 Pg by Lal (1999) and 150 Pg by Bohn (1978). Rozanov et al., (1990) observed that world soils have lost humus (58% C) at a rate of 25.3 Tg/year ever since agriculture began 10,000 years ago, 300 million tons/year in the past 300 years and 760 million tons per year in the last 50 years. The SOC is easily transported by runoff water or wind because it is of relatively low density (< 1.8 Mg/m3) and is concentrated in the vicinity of the soil surface. A study on wind erosion in southwest Niger showed that wind-borne material trapped at 2-m height contained 32 times more SOC relative to the antecedent topsoil (Sterk et al., 1996).
In dryland soils, SOC declines with cultivation and even more so with desertification. In East Africa, Swift et al., (1994) reported that continuous cultivation for 14 years without recommended inputs of fertilizers and manures decreased SOC content by half from 2% to 1%. Pieri (1991) reported that continuous cropping without application of fertilizers and/or manure leads to rapid decline in SOC content. The experimental results revealed a marked decline in soil C, reaching some 13 tonnes/ha (Fig. 3) when aboveground material is harvested and removed and some FYM is applied at different times, equivalent to 3.9 tonnes/ha/year. The rate of depletion of SOC content is accentuated by soil erosion, because of the preferential removal of the finer soil fractions comprised of clay and organic matter. The SOC is often bound with the clay fraction (Quiroga et al., 1996, 1998) which is preferentially removed by erosion. Adoption of inappropriate land use and farming practices can deplete SOC content (Table 6). These trends, if unchecked, accentuate the process of desertification. Swift et al., (1994) indicated that land degradation around the world has led to an SOC loss of 8 to 12 Mg C ha−1on land area of 1.02 Bha (UNEP, 1991), the total historic C loss would be 8 to 12 Pg C.
Drylands are considered to be areas where average rainfall is less than the potential moisture losses through evaporation and transpiration. About 47 percent of the surface of the earth can be classified as dryland (UNEP, 1992). Droughts are characteristic of drylands and can be defined as periods (1–2 years) where the rainfall is below the average. The main characteristic of drylands is lack of water. This constrains plant productivity severely and therefore affects the accumulation of C in soils. The problem is aggravated because rainfall is not only low but also generally erratic. Therefore, good management of the little available water is essential. In addition, the SOC pool tends to decrease exponentially with temperature (Lal, 2002a). Consequently, soils of drylands contain small amounts of C (between 1 percent and less than 0.5 percent) (Lal,
Change in total soil carbon for a rainfed farm
Traditional practices | Recommended |
Plough till | Conservation till/ no till |
Residue removal/ burning | Residue return as mulch |
Summer fallow | Growing cover crop |
Low off-farm input | Judicious use of fertilizers and integrated nutrient management |
Regular fertilizer use | Soil- site specific management |
No water controlFence-to fence cultivation | Water management/ conservation, irrigation, water table management |
Fence-to fence cultivation | Conservation of marginal lands to nature conservation |
Monoculture | Improved farming systems with several crop rotations |
Land use along poverty lines and political boundaries | Integrated watershed management |
Draining wetland | Restoring wetlands |
Agricultural practices for enhancing productivity and increasing the amount of carbon in soils
2002b). The SOC pool of soils generally increases with the addition of biomass to soils when the pool has been depleted as a consequence of land uses (Rasmussen and Collins, 1991; Paustian et al., 1997; Powlson et al., 1998, Lal, 2001a). Soils in drylands are prone to degradation and desertification, which lead to dramatic reductions in the SOC pool. Soil-quality improvement as a consequence of increased soil C will have an important social and economic impact on the livelihood of people living in these areas. The ability of agriculture lands to store or sequester carbon depends on several factors, including climate, soil type, type of crop or vegetation cover and management practices. Carbon sequestration in the agriculture sector refers to the capacity of agriculture lands and forests to remove carbon dioxide from the atmosphere. Carbon dioxide is absorbed by trees, plants and crops through photosynthesis and stored as carbon in biomass in tree trunks, branches, foliage and roots and soils (EPA, 2008b). Forests and stable grasslands are referred to as carbon sinks because they can store large amounts of carbon in their vegetation and root systems for long periods of time. Soils are the largest terrestrial sink for carbon on the planet. The amount of carbon stored in soil organic matter is influenced by the addition of carbon from dead plant material and carbon losses from respiration, the decomposition process and both natural and human disturbance of the soil. By employing farming practices that involve minimal disturbance of the soil and encourage carbon sequestration, farmers may be able to slow or even reverse the loss of carbon from their fields. In the United States, forest and croplands currently sequester the equivalent of 12 percent of U.S. carbon dioxide emissions from the energy, transportation and industrial sectors (EPA, 2008b).
The sequestration of atmospheric C in the soil and biomass not only reduces greenhouse effect but also helps maintain or restore the capacity of the soil to perform its production and environmental functions on sustainable basis. Dry soils are less likely to lose C than wet soils (Glenn et al., 1992) as a lack of water limits soil mineralization and therefore the flux of C to the atmosphere. Consequenlty, the residence time of C in dryland soils is long, sometimes even longer than in forest soils.
Several studies have attempted to assess the potential for carbon sequestration in drylands (Table 7). Lal (2001) estimated that they had the potential to sequester up to 0.4–0.6 Gt of carbon a year if eroded and degraded dryland soils were restored and their further degradation were stopped. Glenday (2008) measured forest carbon densities of 58 to 94 tonnes C/ha in the dry Arabuko-Sokoke Forest in Kenya and concluded that improved management of wood harvesting and rehabilitation forest could substantially increase terrestrial carbon sequestration. Farage et al., (2007) in dryland farming systems in Nigeria, Sudan and Argentina showed that it would be possible to change current farming systems to convert these soils from carbon sources to net sinks without increasing farmers’ energy demand. Hülsbegen and Küstermann et al., (2008) compared 18 organic and 10 conventional farms in Bavaria, Germany and calculated the organic farms annual sequestration at 402 kg carbon, while the conventional farms had losses of 202 kg. Hepperly et al., (2008) estimated that compost application and cover crops in the rotation were particularly adept at increasing soil organic matter, also compared to no tillage techniques (Table 8).
Technological options | Sequestration potential (Tonnes C/ha/year ) |
Croplands | 0.10 – 0.20 |
Conservation tillage | 0.05 – 0.10 |
Mulch farming (4-6 Mg/ha/year) | 0.10 – 0.20 |
Compost (20 Mg/ha/year) | 0.05 – 0.10 |
Elimination of bare fallow | 0.10 – 0.20 |
Integrated nutrient management | 0.10 – 0.20 |
Restoration of eroded soils | 0.05 – 0.10 |
Restoration of salt effected soils | 0.10 – 0.20 |
Agricultural intensification | 0.10 – 0.30 |
Water conservation and management | 0.05 – 0.10 |
AfforestationGrassland and pastures | 0.05 – 0.10 |
Effects from land management practices or land use on carbon sequestration potential in drylands
Practices | Soil Carbon sequestration (kg/ha) |
Compost | 1000 to 2000 |
Cover crop | 800 to 1200 |
No-till | 100 to 500 |
Rotation | 0 to 200 |
Manure | 0 to 200 |
Cover+rotation | 900 to 1400 |
Compost + Cover + Rotation + No till | 2000 to 4000 |
Soil carbon sequestration estimates for different agricultural practices. Data projected from Rodale long-term trials
Adoption of recommended management practices (RMPs) on favorable soils with good soil moisture regime and the possibility of supplemental irrigation can increase SOC concentration. Enhancing water use efficiency (WUE), by reducing losses due to surface runoff, evaporation and decreasing soil temperature by residue mulching, is important. Application of fertilizers, irrigation and manuring are all common practices that consume C. Innovative farming practices such as conservation tillage, organic production, improved cropping systems, land restoration, land use change, irrigation and water management are the strategies to increase the C storage. Organic systems of production increase soil organic matter levels through the use of composted animal manures and cover crops (Rodale Institute, 2008). Organic cropping systems also eliminate the emissions from the production and transportation of synthetic fertilizers. Land restoration and land use changes that encourage the conservation and improvement of soil, water and air quality typically reduce greenhouse gas emissions. Soil quality is largely governed by soil organic matter (SOM) content, which is a dynamic pool and responds effectively to changes in soil management, primarily tillage and carbon inputs resulting from biomass production.
Conservation tillage as an integral part of conservation agriculture includes a minimum 30% soil cover after planting to reduce soil erosion implies conformity with all three of its pillars: (i) minimum soil disturbance (ii) diverse crop rotations and/or cover crops and (iii) continuous plant residue cover. Reducing tillage reduces soil disturbance and helps mitigate the release of soil carbon into the atmosphere. Conservation tillage also improves the carbon sequestration capacity of the soil. The amount of carbon released from soils depends directly on the volume of soil disturbed during tillage operations. Therefore, lesser the soil is disturbed, better the conservation of soil carbon. Additional benefits of conservation tillage include improved water conservation, reduced soil erosion, reduced fuel consumption, reduced compaction, increased planting and harvesting flexibility, reduced labour requirements and improved soil tilth. Stewart and Robinson (2000) indicated one of the gratifying consequences of the no-till system is increase in SOC concentration in soil, which may range from 60 to over 600 kg C/ha/y. In northern Colorado, Potter et al., (1997) observed 560 kg C/ha/y accumulation during 10 years of no-till continuous cropping wheat system. Kihani et al., (1984) conducted soil analyses on a 45-year old tillage experiment and reported that incorporation of biosolids improved SOC concentration. Murillo et al., (1998) reported that SOC concentration in 0 to 5 cm depth was 0.84% in traditional tillage and 1.1% in conservation tillage after 2 years, and 0.89% in traditional tillage compared with 1.34% in conservation tillage after 4 years. Holland (2004) gives the interactive processes as a consequence; conservation agriculture generate the soil’s structural stability and have a substantial impact on the environment (Fig 4).
Mineral nitrogen in soils may contribute to the emission of nitrous oxides and is one of the main drivers of agricultural emissions. The efficiency of fertilizer use decreases with increasing fertilization, when a great part of it is not taken up by the plant but emitted into the water bodies and the atmosphere. In summary, the emission of GHG in CO2 equivalents from the production and the application of nitrogen fertilizers from fossil fuel amounts at approximately 480 million tonnes (1 percent of total global GHG emissions) in 2007. In 1960, 47 years earlier, it was less than 100 million tones. In dryland areas, several studies demonstrated the importance of judicious use of fertilizer, compost and nutrient management (Fuller, 1991; Traore and Harris, 1995; Singh and Goma, 1995; Pieri, 1995;
Interactive process through which conservation tillage can generate environmental benefits (
Miglierina et al., 1996; Laryea et al., 1995). Application of nitrogen fertilizer is important to obtaining high yields, but may have little impact on SOC concentration unless used in conjunction with no-till and residue management (Russell 1981; Dalal 1992; Skjemstad et al., 1994; Dalal et al., 1995).Recycling nitrogen on the farm by using manure and nitrogen fixing plants (the predominant technique of organic and low external input agriculture) enhances soil quality and provides nutrients. However, timing and management of its use are essential. Nambiar (1995) reported increase in SOC content with manuring from 0.20% to 0.25% in 1997-1989 for a sandy soil. Ryan (1998) observed a significant increase in SOC concentration by application of recommended rates of fertilizers. Mäder et al., (2002) compare the relative input and output of three farming systems: organic agriculture; integrated production with farmyard Manure and stockless integrated production in a 28 years experiment. Input of nutrients, organic matter, pesticides and energy as well as yields were calculated. Crop sequence was potatoes, winter wheat followed by fodder intercrop, vegetables (soybean), winter wheat (maize), winter barley (grass-clover for fodder production, winter wheat), grass-clover for fodder production, grass-clover for fodder production. Crops in brackets are alterations in 1 of the 4 crop rotations. The results indicated an increased efficiency of organic agriculture for most arable crops, with grain crops showing a yield reduction of only 20 percent while fertilizer inputs were lower by 50-60 percent (Fig. 5). Mishra et al. (1974) reported that application of manure at the rate of 9–30 Mg ha−1 y−1 caused significant increase in SOC content. Dalal (1989) observed a positive effect on SOC concentration after 13 years of no-till, residue retained and N application (34.5 Mg C/ha vs. 35.8 Mg C/ha). In semi-arid conditions, the SOC sequestration is limited by the input of biomass carbon. Although, crop yields are sufficiently increased by N application, the residue input is not sufficient enough to balance the mineralization rate. Mathieu et al., (2006) pointed out that higher soil carbon levels may lead to N2 emission rather than N2O. Petersen et al., (2005) found lower emission rates for organic farming compared to conventional farming in five European countries. In a long-term study in southern Germany, Flessa, et al. (2002) also found reduced N2O emission rates in organic agriculture, although yield-related emissions were not reduced. A reduction of the Global Warming Potential (GWP, 64 %) has also been found at Michigan State University for organic crops as compared to the conventional (Robertson et al., 2000). In India, Gupta and Venkateswarlu (1994) observed that application of manure at 10 Mg/ha increased SOC concentration. For Vertisols in the Ethiopian Highlands, Wakeel and Astartke (1996) recommended adoption of improved agricultural practices (nutrient management, water conservation, new varieties and crop rotation) to minimize risks of soil degradation. Use of high-lignin amendments, recalcitrant to decomposition, increases SOC concentration.
Comparison of GHG and crop productivity in different farming systems in long term field experiments
Numerous case studies show that in comparison to traditional subsistence farming, organic yields were 112 percent higher due to crop rotation, legumes and closed circuits. Miglierina et al., (1993, 1996) observed that SOC content was high in wheat-grassland and wheat-alfalfa (
Excessive and uncontrolled grazing are a major cause of the acceleration of the desertification process. Grazing is the predominant land use in dryland ecosystems, and adoption of improved grazing practices can improve C sequestration through conservation and better management of surface residue. In the Sahel, deposition of droppings ranges from 1 tonne/ha to 50 tonnes/ha depending on the time that animals are kept on the same field (Sagna-Cabral, 1989; Hoffmann and Gerling, 2001). However, direct exposure to the elements can reduce the nutrient value of dung and droppings considerably. Although stubble grazing has a long tradition in drylands, increasing land scarcity, limited purchasing power among many smallholders and increased risks of animal theft in many areas have contributed to a general decline in herd sizes and in some cases, led to the abandonment of
Strategy/technique | Practice | Location/region | Reference |
Erosion control/water conservation | a) No-Till farming | Bushland, TX, USA Northern CO, USA Queensland, Australia West Africa Sahel Southern Spain | Jones and others 1997 Potter and others 1997 Dalal and others 1997 Bationo and others 2000 Murillo and others 1998 |
b) Mulching stone cover residue mulch mulch | Negev Desert Chihuahuan Desert Suriname | Lahav and Steinberg 2001 Rostagno and Sosebal 2001 Breeman and Protz 1988 | |
Crop Diversification | a) Rotations | Saudi Arabia, West Asia, Alegria, North Africa | Shahin and others 1998 Arabi and Roose 1989 |
b) Legumes | Syria, West Asia Australia Northern India Argentina | Jenkinson and others 1999 Whitehouse and Littler 1984 Singh and others 1996 Galantini and Rosell 1997 | |
Integrated nutrient management and recycling | a) Manuring | Maiduguri, Nigeria | Aweto and Ayub 1993 |
b) Organic by-products | Spain | Pascual and others 1998 | |
c) Soil fauna | Chihuahuan Desert | Nash and Whitford 1995 | |
d) Sewage sludge | Spain | Pedreno and others 1996 | |
Water management | a) Irrigation and conservation tillage | Mexico | Folleu and others 2003 |
b) Irrigation with sewage | Israel | Hillel 1998 | |
c) Irrigation with silt-laden water | China | Fullen and others 1995 | |
d) Saline aquaculture | Drylands | Glen and others 1993 |
Strategies of soil management in dryland ecosystems for carbon sequestration
stubble grazing altogether. Pluhar et al., (1987) observed that grazing caused a significant decline in infiltration capacity by reducing the protective vegetal cover and increasing the surface area of the bare ground. Thurow et al., (1988) also observed that infiltration capacity decreased and inter-rill erosion increased in the heavily stocked pastures. In Alice, Texas, Weltz and Blackburn (1995) observed that the saturated hydraulic conductivity was the least for the bare soil. Biomass burning also affects soil hydrological properties. Hester et al., (1997) showed that fire reduced water infiltration capacity in case of the oak and juniper vegetation types. Therefore, controlled grazing, fire management and planting improved species are important considerations of enhancing biomass production and improving soil quality. Some examples of improved practices with positive impact on the SOC pool are listed in Table 11. Important among these are grazing management through controlled stocking and rotational grazing, fire management, and agroforestry practices involving legume species (Conarc et al., 2001).
Strategy/technique | Location/region | Reference |
Surface application of biosolids | Chihuahuan Desert | Rostagno and Sosebal 2001 |
Stone cover | Negev Desert | Lahav and Steinberg 2001 |
Enhancing termites activity | Chihuahuan Desert | Nash and Whitford 1995 |
Manuring | Maiduguri, Nigeria | Aweto and Ayub 1993 |
Desert soil macrofauna (termites/ants) | Chihuahuan Desert | Whitford 1996 |
Sewage sludge | Spain | Pedreno and others 1996 |
Organic by-products | Spain | Pascual and others 1998 |
Soil management options for C sequestration in soils of dryland ecosystems
Strategy/technique | Practice | Location/region | Reference |
Improved species | Sowing legumes Agroforestry | Vertisols, Australia Northern Colorado Sadore, Niger West African Sahel | Chan and others 1997 Havlin and others 1990 Hiernaux and others 1999 Breeman and Kessler 1997 |
Fire management | Prescribed burning Stocking rate | Wyoming, USA Negev, Israel | Schuman and others 2002 Zaady and others 2001 |
Grazing management | Controlled grazing | Kawas, USA | Rice and Owensby 2001 |
Improving grasslands | Integrated management | World’s drylands | Conant and others 2001 |
Erosion management | Integrated management | World’s drylands | Lal 2001 |
Strategies of pasture and range land management for soil carbon sequestration.
Soil C losses can occur both as a result of mineralization as well as through erosion often making it a complex relationship. Where water erosion dominates, a high proportion of soil C may be washed into alluvial deposits close to the erosion site and stored there in forms which decay more slowly than in the parent soils. Therefore, this kind of erosion may have a positive effect on soil CS. In Western Nigeria Gabriels and Michiels (1991) observed C losses from bare fallow Alfisol plots with slopes of 1, 5 and 10 %, varied from 54 to 3080 kgha-1. Erosion does not always decrease productivity, but if it could be shown to do so, it would be perverse to favour decreased productivity for a medium term and perhaps one-off gain in sequestered C. The same arguments probably do not apply where wind erosion is the main erosional process, for organic matter is usually blown great distances and dispersed to places where it may decay rapidly and release its C. Management options that increase the amount of live and dead biomass left in agricultural areas decrease erosion in general while simultaneously increasing the C input to the soil (Tiessen and Cuevas, 1994). Assuming that 20% of the C displaced is emitted to the atmosphere ( Lal et al., 1998), erosion (e.g., light, moderate, severe and extreme forms) leads to emission of 0.206 to 0.262 Pg C y−1. Erosion also leads to exposure of the sub-soil rich in calciferous materials. These areas, severely affected by strong and extreme wind erosion, are estimated at about 103.6 Mha. If 10% of these areas have calciferous horizons exposed at the soil surface, about 10 Mha are subject to the impact of anthropogenic perturbations and environmental factors (e.g., ploughing, application of fertilizers, root exudates, acid rain, etc.). These factors may lead to dissolution of carbonates and emission of CO2. If this exposed layer containing high amounts of carbonates and bicarbonates leads to emissions of C at the rate of 0.2 to 0.4 Kg C ha−1 yr−1, the annual rate of emissions of C from SIC is 2 to 4 × 106 Kg C y−1. Therefore, total C emission due to soil erosion and exposure of calciferous horizon is 0.21 to 0.26 Pg C y−1. Three main type of erosion preventive techniques are (Lal, 1990) i) those that increase the soils’ resistance against agents of erosion; ii) soil surface management techniques that help establish quick ground cover and; iii) techniques that provide a buffer against rainfall and runoff erosivity.
Many of the factors affecting the flow of C into and out of the soil are affected by land-management practices. The soils of drylands have lost a significant amount of C and, therefore, offer a great potential for rehabilitating these areas. There are vast areas of dryland ecosystems in developing countries where improvements in farming systems could add C to soils. Tillage-based agriculture damages the soil, conservation agriculture builds soil quality, protects water quality, increases biodiversity and sequesters carbon. Considering the growing concern of elevated atmospheric greenhouse gases, the complex economics and availability of fossil fuels, the deterioration of the environment and health conditions, a shift away from intense reliance on heavy chemical inputs to an intense biologically based agriculture and food system is possible today. Sustainable and conservation agriculture offer multiple opportunities to reduce greenhouse gas emissions and counteract global warming. Improving energy efficiency by managing agricultural and food inputs can make a positive contribution to reducing agricultural greenhouse gas emissions. This environmentally beneficial and economically viable method of production agriculture should be supported and endorsed through policy mechanisms so that worldwide adoption is increased and global benefits are realized. Mitigation of atmospheric CO2 by increase CS in the soil, particularly make sense in the scope of other global challenges such as combating land degradation, improving soil quality and preserving biodiversity. Effective mitigation policies will likely be based on a combination of modest and economically sound reduction which confer added benefits to society.
Patients with rheumatoid arthritis (RA) present damaged joints and pain [1], low muscle strength values [2], and cachexia [3, 4], while post-menopausal women represent the greater percentage of these patients [5]. Otherwise, patients with RA [6] and post-menopausal women [7] also present an increased risk of fall. So, interventions aimed to reduce the risk and to prevent falls seem to be advisable for patients with RA, especially in the post-menopausal women group.
Falls have been associated with different identifiable risk factors [7, 8], which includes an unsteady gait [8] and an ineffective postural stability [9]. Gait and postural stability are dependent of motor control processes, assured by the central nervous system at different levels. According to literature, foot and ankle play a significant role to keep an effective postural stability in bipedal or unipedal activities [10], namely during gait [11, 12]. Furthermore, foot and ankle problems are associated with an increment of the risk of falls [13]. The control of the foot and ankle kinematics is especially important in the gait stance phase [14]. At gait stance phase, the ankle execute, in the sagittal plane, three different angular displacements, which were defined in prior studies as controlled plantar flexion, controlled dorsiflexion, and powered plantar flexion sub-phases [15, 16, 17]. These three angular displacements sub-phases are associated with the three objectives of foot control, mentioned in the literature [18, 19], that occurs in the gait stance phase: first, to control the impact on the ground; second, to control the foot as a stable limb; and third, to control the foot to propel the body. Consequently, ankle angular positions, ankle moment of force peak, and ankle power peak during stance phase have been reported as important biomechanical parameters for foot function measurement [20, 21]. Patients with RA have differences in ankle kinematics and kinetics during the gait stance phase, when compared with healthy controls, namely: at ankle angles [20, 21, 22, 23, 24]; lower ankle power peak [21, 22]; and lower ankle moment of force peak [21, 23, 24]. Moreover, previous studies [21, 24] correlated lower gait speeds – observed in these patients – with a reduced ankle moment of force peak and ankle power peak. According to the literature [23, 25], an impaired ankle power can reduce the capacity of adjustment and increment of gait speed, leading to a lower functional capacity. A subsequent study [14] specifically compared a group of post-menopausal women with RA with a group of age-matched healthy post-menopausal women. Data from this study showed that these patients yielded a lower ankle moment of force and a lower power performance during the powered plantar flexion sub-phase. The authors of this study concluded that it should be important to improve these kinetic values in post-menopausal women with RA, since they were vital concerning foot and ankle function, functional capacity, and fall prevention. According to the same study [14], post-menopausal women with RA also showed a higher stride-to-stride variability in the ankle moment of force peak. According to the literature, an increment of motor variability was also found in elders with history of falls [26, 27, 28], which could be a manifestation of an impaired motor control [29].
The nervous system, composed by the central nervous system and the peripheral nervous system, allows motor control during human movement. The central nervous system controls movement through three different levels (cerebral cortex, brain stem, and spinal cord), which are hierarchically organized, interdependent and connected between them: (1) the most complex voluntary movements are regulated by the cerebral cortex – upper level; (2) postural stability, as well as the automatic and stereotyped movements, are regulated by the brain stem – middle level; (3) movement is also regulated at the spinal cord – lower level [30, 31]. The peripheral nervous system enables the connection of the periphery with the middle and lower levels of the central nervous system [32]. Otherwise, the somatosensory information, composed by the mechanoreceptive, thermoreceptive, and nociceptive information arising from the periphery, also plays an important role in movement control [31]. Proprioception, a subcomponent of the somatosensory information, encompasses the afferent information arising from mechanoreceptors (located at the periphery) and contributes to joint and postural stability control [31]. This proprioceptive information is transmitted to the three levels of the central nervous system, providing an optimization of the motor control [33]. The reciprocal innervation, an essential mechanism of the spinal cord regulation of the movement, is dependent on the quality of proprioceptive information (e.g., information arising from neuromuscular spindle, Golgi tendon organ, and mechanoreceptors located in joints) [34]. Accordingly, the quality of the movement is reliant on proprioception, both at a global (postural) level and at a local (joint) level [33, 35]. Therefore, a specific exercise programme could be conducted specifically to challenge and improve proprioceptive mechanisms, enhancing motor control processes [36]. This kind of exercise, made with this goal, could achieve the denomination of proprioceptive exercise [37]. According to a systematic review [38], there is evidence that proprioceptive exercises programmes can lead to improvements in proprioception and somatosensory function, namely programmes lasting 6 or more weeks (longer programmes have a greater effect); however, authors also concluded that there was a great variability and lack of detail concerning the training parameters (e.g., weekly frequency and workout duration) defined in the selected studies, making impossible to know the optimal dose–response.
Several interventions to prevent falls in elderly (e.g., exercises programme, educational programme, medication optimisation, environmental modification, and multiple interventions) have been established and evaluated [39]. Exercise programmes can prevent falls in elderly, especially those that include “balance” exercises [40, 41]. “Balance”, “coordination”, and “postural” exercises were classified as proprioceptive exercises in previous studies [36, 42]. According to a previous study [43], the incidence of falls in elderly was reduced after a proprioceptive exercise program. Thus, exercise is a good contribution for preventing falls; however, proprioceptive exercises, with their specificity, contribute in a more decisive way, stimulating and enhancing motor control processes.
Patients with RA benefit from the safety of the aerobic training, strength training, and from combinations of both. This is evidenced in published systematic reviews and meta-analysis [44, 45, 46, 47]. Nonetheless, it was concluded in a prior systematic review [42] that there is a lack of studies that approach the safety and effectiveness of proprioceptive exercises regarding the improvement of functional capacity of these patients. Although these authors had not found any randomized or controlled clinical trial, a more recent systematic review [48] concluded that there is some evidence that, the so called, proprioceptive exercises are safe to apply in patients with RA and helpful in the increment of their functional capacity. In parallel, proprioceptive exercises programmes have revealed effective in elderly regarding improvements of their gait biomechanical parameters [49, 50, 51]. Exercise programmes are important to prevent falls [40, 41, 43], however, proprioceptive exercises programmes differs from others by its capacity to stimulate and enhance proprioception and somatosensory function [38]. However, it is noted that to the best of our knowledge, the effects of a proprioceptive exercises programme on gait biomechanical parameters were not studied in patients with RA. Furthermore, researches that evaluate the safety of this kind of exercises, in patients with RA, are also required.
The previous rational supported the twofold aim of the present study. First, it aimed to evaluate the effects of a proprioceptive exercises programme on disease activity of post-menopausal women with RA. Second, it also aimed to evaluate the effects on ankle kinematics and kinetics during the gait stance phase and on its variability.
To achieve the defined aims, a prospective, single-blind, controlled but non-randomized trial study was conducted. The study was concepted in respect of the Declaration of Helsinki [52] and approved by the Ethical Committee for Health of the Portuguese Institute of Rheumatology, Lisbon, Portugal.
The selected post-menopausal women with RA (n = 27) were recruited from the Portuguese Institute of Rheumatology, Lisbon, Portugal, and participated voluntarily in this study. Inclusion criteria were defined as follow, to allow a coherent sample: (1) diagnosis of RA was made according to the 2010 Rheumatoid Arthritis Classification Criteria [1]; (2) patients underwent, for at least 4 weeks before, a stable dose of disease-modifying antirheumatic drugs; this period was necessary to achieve the anticipated effects of medication on joint pain and disease activity; (3) absence of early RA (disease duration <2 years); (4) diagnosis of post-menopausal status [53]; (5) absence of early menopause [54]; (6) absence of an unstable heart condition, chronic obstructive pulmonary disease or cancer; (7) absence of prosthetics in the lower limb joints; (8) nonparticipation in any kind of exercise programme in the last 3 months; and (9) documented ability to walk barefoot and unassisted for >7 m (without current walking aids).
The selected patients were allocated to the exercise group (EG) or to the control group (CG). A power analysis using GPower 3.0.10 software was performed, indicating the need of a sample of 51 subjects in each group, for an independent-samples t-test, to reach a power of 0.8, an effect size of 0.5 with the significance level adjusted to 0.05. Despite the volunteering interest for the study, some patients had logistical difficulties to move to the training centre. Therefore, to reach the greatest possible sample, the allocation process in groups cannot be random. Consequently, this process was defined as following: whenever as possible, the patients were allocated to EG until an n = 15 was attained; the patients who did not have the possibility to meet the workout schedule in EG but had in CG, were allocated to CG; then, the selected patients were allocated to CG, adding to prior allocated patients. Thus, 15 patients were allocated to EG and 12 to CG. The patients read and signed an informed consent form before their participation in the study.
EG’ subjects accomplished a proprioceptive exercises programme: 12 weeks; 3 workouts/week; 30 min/workout – 25 min of proprioceptive exercises and 5 min of stretching exercises (15 s/exercise). Proprioceptive exercises were specially designed to improve lower limbs movements, according to the description framework defined in introduction. These exercises can be viewed at http://pera.ulusofona.pt/exercise-programs/exercise-group/ and Figure 1 presents an example.
Example of an exercise used in exercise group (exercise goal: Improve proprioception related to postural stability and local motor control – Lower limb joints of the support leg and hip of the swing leg; exercise description: in single leg stand position, performed flexion and extension of the swing leg hip).
An expert of the health and exercise field controlled just one subject in each individual workout (one-on-one session). This expert, who was not blind concerning allocation process, selected the proprioceptive exercises for all subjects (from the defined exercises). The selection of each exercise was made according to its level of complexity and each subject’s capacity to perform the exercise. Exercise complexity was increased along the programme period (whenever the exercise was easily performed by the subject). 3 sets of 3 repetitions were performed in each exercise (performed under conditions without fatigue).
The selection of exercises for the CG programme presupposed that these exercises should not have any influence in the evaluated parameters. Thus, CG’ subjects accomplished the following programme: 12 weeks; 1 workout every two weeks; 30 min/workout. Each session was composed by stretching exercises for trunk and upper limbs (15 s/exercise). At http://pera.ulusofona.pt/exercise-programs/control-group/ are presented these exercises. The training sessions in this group were also performed individually (one-on-one).
The Disease Activity Score–28 joints (DAS-28) was used to assess disease activity. DAS-28 score was calculated from: number of swollen and tender joints; visual analogue scale (VAS) to assess global health; and erythrocyte sedimentation rate [55]. One experienced rheumatologist evaluated the number of swollen and tender joints and applied the VAS. Erythrocyte sedimentation rate was assessed in a laboratory. The experienced rheumatologist and the laboratory were blind in relation to allocation process. Although the emphasis of the exercise programme was on lower limbs, most joints included in DAS-28 were located in the upper limbs. Therefore, the number of swollen or tender lower limb joints was also used to assess disease activity. To complement the aforementioned data, subjects answered to a VAS to measure pain perception regarding previous day [56]. This VAS is completed in a comprehensive way to the subjects: at the beginning of every workout session a horizontal straight line of 100 mm was presented in a white paper; the end anchors of the line were labeled as “no pain” on one end and “pain as bad as it could possibly be” on the other end; subjects responded to the VAS by placing a mark through the line already defined; this mark represented the subject’s subjective pain perception regarding previous day. The VAS was scored by measuring the distance, in millimeters, between the anchor end labeled as “no pain” and the subject’s mark on the line.
The demographic characteristics as well as reproductive and medical history of each subject were also collected by the experienced rheumatologist (age, body mass, height, duration of menopause, nature of menopause, disease duration, and pharmacological therapies).
An optoelectrical 3D motion analysis was used to assess gait biomechanical parameters. The Vicon® Motion Capture MX System (VICON Motion Systems, Oxford, UK) composed by 9 MX infrared cameras (7 × 1.3 MP; 2 × 2.0 MP), was synchronized with a force plate (model BP400600, AMTI, Watertown, MA, USA).
Each trial session had distinct parts: laboratory preparation, subject preparation, and data collection. The laboratory preparation included the calibration of the system made in accordance with the Vicon® technical specifications. Kinematic data was recorded at 200 Hz and ground reaction force data at 1000 Hz.
Subject preparation started with the collection of anthropometric data and the placement of 39 spherical reflective markers (9.5 mm diameter) that compose the Plug-In Gait Full-Body model (VICON Motion Systems, Oxford, UK). To assure the same measure and marker placement criteria, these tasks were performed by the same team researcher, who was not blind to the allocation process. The collection of the anthropometric data was carried out using a SECA 764 station (Hamburg Germany) and Siber-Hegner instruments (Siber & Hegner, Zurich, Switzerland).
Kinematic and kinetic data was recorded using the Vicon Nexus software (version 1.7.1). The test protocol used the guidelines specified in previous studies [14, 17]: (1) subjects walked barefoot in a gait corridor of 7 m long and 2 m wide, on which the force platform was mounted; (2) at the end of the corridor, the subjects turned around; (3) subjects were asked to walk at a natural and self-selected speed – representing the most comfortable walking speed that minimized possible discomfort that could have been caused if a pre-determined speed was determined [57] and minimized the induction of subjects into a transitioning stage, that is, a stage marked by an increased variability [58]; (4) seven valid trials of the gait stance phase were collected for each foot (trials were considered valid only when one foot stepped entirety on the force plate; this information was not given to the subjects to avoid changes in individual gait patterns); and (5) to avoid gait performance deterioration related to fatigue, subjects rested for 2 min by sitting on a chair every 20 trials.
All trials were processed using the Vicon Nexus software (version 1.7.1) and a quintic spline routine (Woltring filtering) was applied. The next gait biomechanical parameters were evaluated in the stride that started at heel strike on force plate: gait speed (m/s) – determined as described in a previous study [59]; stance phase time (s); time of the controlled plantar flexion sub-phase (s); time of the controlled dorsiflexion sub-phase (s); time of the powered plantar flexion sub-phase (s); ankle angular position in sagittal plane at the – heel strike (°), final of the controlled plantar flexion sub-phase (°), final of the controlled dorsiflexion sub-phase (°), toe off (°) – in these four angular positions, positive values means dorsiflexion and negative values means plantar flexion; ankle angular displacement along the – controlled plantar flexion sub-phase (°), controlled dorsiflexion sub-phase (°), and powered plantar flexion sub-phase (°); ankle moment of force peak in sagittal plane (Nm/kg); and ankle power peak (W/kg).
For this study, an octopolar bioimpedance spectroscopy analyzer (InBody 720, Biospace, Korea) was used to assess body composition. This equipment analyses independently five body sections (i.e., trunk, both upper limbs, and both lower limbs). In a previous study [60], the accuracy of InBody 720 was tested using energy X-ray absorptiometry as a reference standard. Data revealed, in females, excellent agreements between InBody 720 and dual-energy X-ray for the quantification of the lower limb muscle mass (intraclass correlation coefficient ≥ 0.83) and percentage of fat mass (intraclass correlation coefficient = 0.93). Therefore, in this study were evaluated the muscle mass values (kg and % of total body mass) and the percentage of fat mass (%). These data was included in this chapter in order to improve the quality of the discussion. These assessments were carried out in accordance with the procedures presented in the equipment user manual [61].
In patients with RA, right and left lower limb joints can be differently affected during the course of the disease. Accordingly, intra-individual differences between lower limbs of post-menopausal women with RA, concerning ankle kinematics and kinetics, were observed in a prior study [14]. Consequently, randomly selected and measured only one lower limb per subject could conduct to loss of valuable information. According to literature [62], the statistical analyses should consider both sides for analyses when right and left lower limbs are independent. Therefore, each limb/ankle/foot dataset was independently considered for the statistical analyses. To this end, the mean and the coefficient of variation (CV) of the biomechanical parameters of each ankle/foot were calculated (from the seven trials collected for the contact of each foot on force plate). These data were inserted in the SPSS software for Windows, version 17 (SPSS, Inc., Chicago, IL), in order to perform the statistical analyses. Variability was studied through the CV.
The t-test’s significance level can be almost exact for sample sizes greater than 12, even if the distribution was not normal [63]. Therefore, a two-tailed paired-samples t-test was used to compare baseline and post intervention in each group. For the purpose of comparison between groups after intervention, the differences between baseline and post intervention were viewed as variables. A two-tailed independent-samples t-test was used to compare groups at baseline and post intervention. Differences were considered statistically significant at p values <0.05.
One withdrawal was registered in EG: the post-menopausal woman with RA failed to meet the training schedule, precluding her inclusion in statistical analyses. Thus, in the EG only fourteen post-menopausal women with RA were included in the statistical analyses. In EG and CG, the rate of adherence to the programme was 86.1 ± 10.5% and 95.8 ± 27.5%, respectively.
Table 1 presents the descriptive statistics of the clinical, demographic, and body composition data for EG and CG, at baseline and post exercises programmes. In these parameters no statistically significant intergroup difference was found at baseline.
Parameters | EG (n = 14) | CG (n = 12) | ||||
---|---|---|---|---|---|---|
Baseline mean (sd) | Post mean (sd) | p value | Baseline mean (sd) | Post mean (sd) | p value | |
Age (years) | 62.2 (8.8) | — | 67.8 (6.6) | — | ||
Disease duration (years) | 9.3 (9.5) | — | 11.6 (9.9) | — | ||
Duration of menopause (years) | 14.8 (8.3) | — | 19.0 (9.6) | — | ||
DAS-28 score | 4.6 (1.5) | 4.0 (1.3) | 0.059 | 4.6 (1.2) | 4.2 (0.9) | 0.097 |
Number tender or swollen joints1 | 9.0 (10.3) | 6.4 (9.1) | 0.069 | 6.1 (5.2) | 3.8 (5.5) | 0.084 |
VAS (mm) | 47.0 (18.2) | 21.1 (13.9) | 0.000 | 53.0 (14.3) | 47.4 (19.8) | 0.348 |
Body mass (kg) | 67.5 (15.3) | 66.4 (14.6) | 0.023 | 63.2 (10.0) | 63.7 (10.1) | 0.168 |
Height (m) | 1.53 (0.06) | — | 1.52 (0.05) | — | ||
Body mass index (kg/m2) | 29.0 (5.9) | 28.5 (5.7) | 0.025 | 27.4 (4.3) | 27.6 (4.4) | 0.140 |
Fat mass (%) | 36.9 (7.7) | 36.1 (8.1) | 0.508 | 34.9 (7.1) | 36.0 (6.2) | 0.381 |
Lower limbs muscle mass (kg) | 12.0 (0.8) | 12.0 (0.9) | 0.926 | 11.4 (0.9) | 11.4 (1.0) | 0.873 |
Lower limbs muscle mass (%) | 18.2 (2.5) | 18.5 (3.1) | 0.417 | 18.2 (2.1) | 18.4 (2.5) | 0.739 |
Clinical, demographic, and body composition data at baseline and post intervention.
lower limb joints.
CG – control group; DAS-28 – Disease Activity Score (28 joints); EG – exercise group; p value – differences between baseline and post intervention were considered statistically significant at p values <0.05; sd – standard deviation; VAS – visual analogue scale to measure pain perception in relation to previous day.
Most of the post-menopausal woman with RA, in both groups, presented at least one swollen or tender lower limb joint: one in EG and two in CG had no swollen or tender joints to report. One post-menopausal woman with RA in EG and two in CG had an induced menopause (i.e., bi-lateral oophorectomy) – remaining women had a natural menopause. Furthermore, two post-menopausal women with RA in each group were undergoing hormone therapy. Eleven post-menopausal women with RA in EG and nine in CG were using glucocorticoids.
Between baseline and post exercises programmes, both groups presented a tendency to reduction in the DAS-28 score, as well as in the number of tender or swollen lower limb joints. Between the first and last workout session, the EG’ subjects presented a decrease of the value of the VAS to measure pain perception regarding previous day (p < 0.001). Figure 2 shows this reduction along the proprioceptive exercises programme sessions. In the CG, no statistically significant difference between the first and last workout session was observed.
Mean ± standard deviation curves of the visual analogue scale to measure pain perception regarding previous day [
Concerning body composition, no differences were observed between baseline and post exercises programmes in both groups.
Table 2 describes the gait biomechanical data at baseline and post exercises programmes. At baseline, no statistically significant intergroup difference was found. Figure 3 presents the curves of the ankle power and ankle moment of force of both groups, during the stance phase.
Parameters | EG (n = 28) | CG (n = 24) | p value | ||||
---|---|---|---|---|---|---|---|
Baseline mean (sd) | Post mean (sd) | Δ mean (sd) | Baseline mean (sd) | Post mean (sd) | Δ mean (sd) | ||
Gait speed (m/s) | 0.97 (0.20) | 1.01 (0.18) | 0.05 (0.10)† | 0.96 (0.24) | 0.95 (0.24) | −0.01 (0.07) | 0.028* |
Stance phase time (s) | 0.70 (0.08) | 0.67 (0.08) | −0.02 (0.05)† | 0.71 (0.11) | 0.72 (0.11) | 0.01 (0.08) | 0.007* |
Time (s) | 0.06 (0.01) | 0.06 (0.01) | 0.00 (0.01) | 0.05 (0.01) | 0.05 (0.01) | 0.00 (0.00) | 0.701 |
Ankle angular position at beginning of phase (°) | −5.1 (4.0) | −4.3 (3.5) | 0.7 (3.0) | −4.9 (3.7) | −4.4 (4.3) | 0.6 (2.3) | 0.846 |
Ankle angular position at end of phase (°) | −9.2 (3.6) | −8.9 (3.2) | 0.2 (3.2) | −8.5 (4.0) | −8.4 (5.3) | 0.2 (2.5) | 0.998 |
Ankle angular displacement (°) | 4.1 (2.6) | 4.6 (2.3) | 0.5 (1.6) | 3.6 (1.8) | 4.0 (2.5) | 0.4 (1.3) | 0.803 |
Time (s) | 0.49 (0.07) | 0.47 (0.08) | −0.02 (0.04)‡ | 0.49 (0.11) | 0.50 (0.11) | 0.00 (0.03) | 0.027* |
Ankle angular position at beginning of phase (°) | −9.2 (3.6) | −8.9 (3.2) | 0.2 (3.2) | −8.5 (4.0) | −8.4 (5.3) | 0.2 (2.5) | 0.998 |
Ankle angular position at end of phase (°) | 13.1 (3.3) | 11.9 (3.9) | −1.1 (3.5) | 13.6 (3.8) | 13.8 (3.4) | 0.2 (1.9) | 0.124 |
Ankle angular displacement (°) | 22.3 (3.5) | 20.9 (4.7) | −1.4 (3.7) | 22.1 (5.6) | 22.1 (6.1) | 0.0 (2.6) | 0.135 |
Time (s) | 0.15 (0.02) | 0.15 (0.03) | 0.00 (0.02) | 0.16 (0.03) | 0.17 (0.03) | 0.01 (0.03)† | 0.060 |
Ankle angular position at beginning of phase (°) | 13.1 (3.3) | 11.9 (3.9) | −1.1 (3.5) | 13.6 (3.8) | 13.8 (3.4) | 0.2 (1.9) | 0.124 |
Ankle angular position at end of phase (°) | −9.3 (7.1) | −10.3 (6.0) | −1.1 (4.6) | −8.6 (6.7) | −9.4 (6.9) | −0.8 (3.5) | 0.793 |
Ankle angular displacement (°) | 22.4 (6.2) | 22.2 (5.3) | −0.1 (4.6) | 22.2 (6.4) | 23.1 (6.9) | 0.9 (3.9) | 0.372 |
Ankle moment of force peak (Nm/kg) | 1.12 (0.18) | 1.16 (0.19) | 0.03 (0.16) | 1.08 (0.22) | 1.09 (0.22) | 0.01 (0.08) | 0.587 |
Ankle power peak (W/kg) | 2.34 (0.91) | 2.60 (0.79) | 0.27 (0.55)† | 2.27 (1.10) | 2.27 (0.98) | −0.01 (0.32) | 0.043* |
Gait biomechanical data at baseline and post exercises programmes.
p < 0.05 (differences between baseline and post intervention.
p < 0.01 (differences between baseline and post intervention).
p < 0.05.
Ankle angular position is positive during dorsiflexion and negative during plantar flexion; CG – control group; EG – exercise group; p value – differences between groups concerning Δ; sd – standard deviation; Δ – difference between baseline and post exercises programme.
Mean ± standard deviation curves of the ankle power and ankle moment of force of both groups, during the stance phase (normalized to 100% of the stance phase).
Between baseline and post intervention, EG’ subjects yielded a higher gait speed (p = 0.027), a shorter stance phase (p = 0.014), a shorter controlled dorsiflexion sub-phase (p = 0.009), and a greater ankle power peak (p = 0.016). A trend towards reduction in ankle angular position at final controlled dorsiflexion sub-phase and in ankle angular displacement during controlled dorsiflexion sub-phase were observed in EG (p = 0.090 and p = 0.059, respectively). In the other gait biomechanical parameters of the EG’ subjects, no statistically significant intragroup differences were found.
In CG, no statistically significant differences were found in gait biomechanical parameters after intervention, except for an increase of the time of powered plantar flexion sub-phase (p = 0.043).
Contrary to baseline, intergroup differences were found after intervention in gait speed, stance phase time, time of controlled dorsiflexion sub-phase, and ankle power peak (p < 0.05).
Variability of the gait biomechanical parameters showed no statistically significant intergroup or intragroup differences at baseline and post exercises programmes.
A number of systematic reviews and meta-analysis [44, 45, 46, 47] described the safety of using aerobic exercises, strength exercises, and the combination of both in patients with RA. Nonetheless, there was a need of researches that evaluate the effects of proprioceptive exercises on disease activity of patients with RA. Therefore, the first aim of this study was to describe the effects of a proprioceptive exercises programme on the disease activity of post-menopausal women with RA. Data from this study (DAS-28 and number of swollen or tender lower limb joints) showed no disease activity increase as a result of the exercise programme implementation; quite the reverse, data showed a trend towards reduction. Moreover, EG’ subjects presented a reduction of the pain perception between the beginning and ending of the proprioceptive exercises programme. These results indicate that is safe to use proprioceptive exercises in post-menopausal women with RA.
A second aim was to evaluate the effects of the programme on ankle kinematics and kinetics of post-menopausal women with RA, during the gait stance phase. To the best of our knowledge, this was the first study that researched this topic in patients with RA, and specifically in post-menopausal women with RA. Data showed that a proprioceptive exercises programme had effects on ankle kinematics and ankle kinetics, as well as on gait speed, i.e.: higher gait speed, shorter stance phase and controlled dorsiflexion sub-phase, and higher ankle power peak. Otherwise, CG’ subjects presented no changes post intervention. These results corroborated those of a prior study [50], which also found an increase of gait speed in elderly women after the participation in a proprioceptive training programme. Moreover, elderly also improved postural control after a proprioceptive exercises programme [49, 51]. However, none of them studied the effects of these programmes on ankle kinematics and kinetics during gait. As concluded in a recent study [14], post-menopausal women with RA should improve ankle kinematic and kinetic parameters during the propulsive phase of gait, which are important parameters for foot function, functional capacity, and fall prevention. Therefore, data presented in this study showed that a proprioceptive exercises programme had effects on those parameters, namely on the stance phase duration, controlled dorsiflexion sub-phase duration, and ankle power peak value. Thus, the improvement in foot function after the proprioceptive exercise programmes seems to point out that using this kind of interventions is indicated as an option for therapy in post-menopausal women with RA.
According to literature [14, 21, 22, 23, 24], a lower ankle power and moment of force peaks were observed in patients with RA, and specifically in post-menopausal women with RA. Therefore, interventions to improve these gait biomechanical parameters are desirable, with exercises programmes being a possible option, namely proprioceptive exercise programmes. In the present study, post-menopausal women with RA yielded a higher ankle power peak as a result of the proprioceptive exercises programme; nonetheless, the ankle moment of force peak showed no change. Thus, the proprioceptive exercises programme enhanced joint power of the post-menopausal women with RA during the powered plantar flexion sub-phase, a parameter that may play an important role in the risk of fall. Otherwise, the inability of this programme to enhance muscle mass and ankle moment of force peak may indicate another reason is behind of the better performance during the powered plantar flexion sub-phase. According to a systematic review [38], there is evidence that proprioceptive exercises programmes can lead to improvements in proprioception and somatosensory function. According to this, we can speculate that the reason for a better performance was an improvement of proprioception and motor control as a result of the proprioceptive exercises programme.
Another aim was to evaluate the effects of the proprioceptive exercises programme on the ankle biomechanical variability. According to literature, an increased stride-to-stride variability was attributed to a probable loss of motor control [29] and post-menopausal women with RA yielded an increased variability of the ankle moment of force peak [14]. In this study, it was conjectured that the variability of the ankle moment of force peak could be decreased as consequence of the proprioceptive exercises programme; however, data showed no differences between pre and post intervention. Thus, another question arises, which can be answered by future research: “Could other kind of exercises programmes change variability of ankle kinematic and kinetic parameters during the gait stance phase?”
Strength training enhanced muscle mass of patients with RA [64, 65], however, the effect of a proprioceptive exercise programme on muscle mass was unknown. Between baseline and post exercise programmes, data showed no changes in low limbs muscle mass, pointing that these types of programmes had no effect on this parameter. Nonetheless, more research is required to clarify this question. On the other hand, post-menopausal hormone therapy, vitamin D and protein intakes, and menopause nature can influence muscle status [66, 67]. The use of hormone therapy could influence positively muscle status, whereas an induced menopause (e.g., bilateral oophorectomy) could be responsible of a greater impairment of muscle status. These parameters were not considered along the selection and allocation processes; nevertheless, data revealed that both groups of post-menopausal women with RA presented similar characteristics. Higher vitamin D and protein intakes could restrict muscle fiber atrophy; nonetheless, these variables were not evaluated in this study and thus, it can be considered as a limitation.
The presence of higher fat mass values could predispose to hypertension, diabetes, and risk for cardiovascular disease [68] and patients with RA showed high percentages of fat mass [69, 70, 71, 72]. Fat tissue is an important font of inflammatory cytokines that could contribute to the systemic inflammation [72]. Following this deduction, it would be important to reduce fat mass in patients with RA, and to achieve this, physical exercise appears as an important strategy. However, the proprioceptive exercises programmes assessed in our study had no effect on fat mass of post-menopausal women with RA. To the best of our knowledge, this was the first study that researched this issue. Previous studies researched the effects of other types of physical exercise on fat mass of patients with RA. Two studies showed no change of the fat mass after strength training programmes [65, 73]. Otherwise, a combined strength and endurance training programme decreased the subcutaneous fat thickness and this should not be dissociated from the inclusion of aerobic exercises in the training programme [74]. Accordingly, aerobic exercises are the best option for decreasing fat mass [75]. The importance of proprioceptive exercises is recognized with the findings showed in the present study; however, as described in literature [64], an exercise programme for patients with RA must contain aerobic, strength, mobility and proprioceptive exercises to achieve all benefits.
According to the literature [47], exercises programmes for patients with RA should be cautiously designed to the individual. The methodology of our exercise programme followed this indication. However, according to a number of systematic reviews [44, 45, 46, 47, 48], most studies that evaluated the effects of physical exercise on patients with RA applied group training sessions in their programmes. Consequently, it is imperative to emphasize the kind of exercise programme used in the present research (an individualized and personalized exercise programme). In the present study, the one-on-one workout sessions could have contributed to the high adherence rates of the programmes and to the observed results. Moreover, the clinical community can easily apply a similar programme due to the type of equipment used, i.e., low-cost equipment.
In accordance with the aforementioned, the use of proprioceptive exercise in clinical practice with women with RA is suggested, especially in patients in the following situations: patients with low physical activity; after periods of immobility; in recovery phases from an active disease; in aftercare for joint replacement surgery (total hip or knee prosthesis); in elderly patients, those with rheumatoid cachexia, those with a history of falls; after the first fracture; and in patients with moderate to severe osteoporosis.
A proprioceptive exercises programme had effects on the ankle biomechanical performance of post-menopausal women with RA, during the gait stance phase: increasing ankle power peak and shortening controlled dorsiflexion sub-phase. The programme also increased gait speed and shortened stance phase, although it had no effects on body composition. Finally, it seems to be safe in post-menopausal women with RA.
The authors declare no conflict of interest.
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Public health nurses are to perform health promotion and disease prevention work on an individual and population level. By identifying how features of different discourses are constructed and maintained, combining linguistics tools and social science perspectives, the purpose was to provide an understanding of the health promotion and disease prevention discourse in the public health nursing curriculum to reveal governmental strategies for public health nursing education in a time of transition. Fairclough’s three‐dimensional model of critical discourse analysis that consists of the analytical dimensions social events, social practices, and social structures was carried out. There is a linguistic‐discursive dialectic between the dimensions. The analysis revealed four discourses in the curriculum text: a contradictory health promotion and disease prevention discourse; a paternalistic meta‐discourse; a hegemonic individual discourse; and a hegemonic discourse for interdisciplinary collaboration. The results indicate a hegemonic disease prevention discourse, while the health promotion discourse being more disguised. The analysis revealed how language functions ideologically, and in line with the sociolinguistics, how the role of the language in the curriculum text can have consequences for the social work of public health nurses.",book:{id:"5726",slug:"sociolinguistics-interdisciplinary-perspectives",title:"Sociolinguistics",fullTitle:"Sociolinguistics - Interdisciplinary Perspectives"},signatures:"Berit Misund Dahl",authors:[{id:"195508",title:"Dr.",name:"Berit Misund",middleName:null,surname:"Dahl",slug:"berit-misund-dahl",fullName:"Berit Misund Dahl"}]},{id:"55107",doi:"10.5772/intechopen.68636",title:"Time-Series Analysis of Video Comments on Social Media",slug:"time-series-analysis-of-video-comments-on-social-media",totalDownloads:1370,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"In this study, we propose a method to detect unfair rating cheat caused by multiple comment postings focusing on time-series analysis of the number of comments. We defined the videos that obtained a lot of comments by unfair cheat as ‘unfair video’ and defined the videos which obtained without unfair cheat as ‘popular video’. Specifically, our proposed method focused on the difference of chronological distributions of the comments between the popular videos and the unfair videos. As the evaluation result, our proposed method could obtain higher accuracy than that of the baseline method.",book:{id:"5726",slug:"sociolinguistics-interdisciplinary-perspectives",title:"Sociolinguistics",fullTitle:"Sociolinguistics - Interdisciplinary Perspectives"},signatures:"Kazuyuki Matsumoto, Hayato Shimizu, Minoru Yoshida and Kenji\nKita",authors:[{id:"195756",title:"Dr.",name:"Kazuyuki",middleName:null,surname:"Matsumoto",slug:"kazuyuki-matsumoto",fullName:"Kazuyuki Matsumoto"}]},{id:"56149",doi:"10.5772/intechopen.69879",title:"Experimental Approaches to Socio‐Linguistics: Usage and Interpretation of Non‐Verbal and Verbal Expressions in Cross‐ Cultural Communication",slug:"experimental-approaches-to-socio-linguistics-usage-and-interpretation-of-non-verbal-and-verbal-expre",totalDownloads:1299,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Social context shapes our behavior in interpersonal communication. In this chapter, I will address how experimental psychology contributes to the study of socio-linguistic processes, focusing on nonverbal and verbal processing in a cross-cultural or cross-linguistic communicative setting. A systematic review of the most up-to-date empirical studies will show: 1) the culturally-universal and culturally-specific encoding of emotion in speech. The acoustic cues that are commonly involved in discriminating basic emotions in vocal expressions across languages and the cross-linguistic variations in such encoding will be demonstrated; 2) the modulation of in-group and out-group status (e.g. inferred from speaker’s dialect, familiarity towards a language) on the encoding and decoding of speaker’s meaning; 3) the impact of cultural orientation and cultural learning on the interpretation of social and affective meaning, focusing on how immigration process shapes one’s language use and comprehension. I will highlight the significance of combining the research paradigms from experimental psychology with cognitive (neuro)science methodologies such as electrophysiological recording and functional magnetic resonance imaging, to address the relevant questions in cross-cultural communicative settings. The chapter is concluded by a future direction to study the socio-cultural bases of language and linguistic underpinnings of cultural behaviour.",book:{id:"5726",slug:"sociolinguistics-interdisciplinary-perspectives",title:"Sociolinguistics",fullTitle:"Sociolinguistics - Interdisciplinary Perspectives"},signatures:"Xiaoming Jiang",authors:[{id:"189844",title:"Prof.",name:"Xiaoming",middleName:null,surname:"Jiang",slug:"xiaoming-jiang",fullName:"Xiaoming Jiang"}]},{id:"65233",doi:"10.5772/intechopen.82823",title:"Introductory Chapter: Discourse and Discourse Analysis. A Retrospective Approach",slug:"introductory-chapter-discourse-and-discourse-analysis-a-retrospective-approach",totalDownloads:2366,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"8632",slug:"advances-in-discourse-analysis",title:"Advances in Discourse Analysis",fullTitle:"Advances in Discourse Analysis"},signatures:"Lavinia Suciu",authors:[{id:"202159",title:"Ph.D.",name:"Lavinia",middleName:null,surname:"Suciu",slug:"lavinia-suciu",fullName:"Lavinia Suciu"}]},{id:"54482",doi:"10.5772/67729",title:"Semiotic Analysis of Computer Visualization",slug:"semiotic-analysis-of-computer-visualization",totalDownloads:1241,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"The purpose of this chapter is to discuss the semiotic approach to form theory of computer visualization. Such theory should be the foundation of design, development, and evaluations of visualization systems. The “direct” semiotic analysis of visualization is defined and the scheme of the analysis is considered. This analysis reveals “who is who” in the process of the visualization semiosis and helps in design and development of the real visualization systems. The analysis allows to describe the problems arising at developments of specialized systems in terms of the semiotics and showing how this analysis can serve as a tool for the visualization systems design. It is important to analyze the sign nature of the human‐computer interface and the visualization. Such conceptions as computer metaphor, metaphor action, and metaphor formula are defined. The properties of metaphors are analyzed with a view to possible usage of metaphors for specific applications. The properties are considered by the example of the hierarchical sequence of the natural Room‐Building‐City (Landscape) metaphors. Also the properties of the molecule metaphor are considered in the context of software visualization systems. In conclusion, some approaches to the theory of computer visualization are outlined.",book:{id:"5702",slug:"interdisciplinary-approaches-to-semiotics",title:"Interdisciplinary Approaches to Semiotics",fullTitle:"Interdisciplinary Approaches to Semiotics"},signatures:"Vladimir L. Averbukh",authors:[{id:"135209",title:"Prof.",name:"Vladimir",middleName:null,surname:"Averbukh",slug:"vladimir-averbukh",fullName:"Vladimir Averbukh"}]}],mostDownloadedChaptersLast30Days:[{id:"54872",title:"The Characteristics of Language Policy and Planning Research: An Overview",slug:"the-characteristics-of-language-policy-and-planning-research-an-overview",totalDownloads:3528,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter has been compiled to provide an overview of the language policing and planning (LPP) field, particularly for new researchers who would like to pursue their MA or PhD. It aims to explore the following: the genesis of LPP from the 1950s to date, type of research questions pertinent to the field, methodology that can be applied, substantial literature review and case studies that have been carried out in LPP, ethnography of language policy and planning, the historical analysis approach and authorities in the field of LPP such as Hornberger, Johnson and Ricento.",book:{id:"5726",slug:"sociolinguistics-interdisciplinary-perspectives",title:"Sociolinguistics",fullTitle:"Sociolinguistics - Interdisciplinary Perspectives"},signatures:"Prashneel Ravisan Goundar",authors:[{id:"195526",title:"Mr.",name:"Prashneel",middleName:"Ravisan",surname:"Goundar",slug:"prashneel-goundar",fullName:"Prashneel Goundar"}]},{id:"59744",title:"Advantages of Bilingualism and Multilingualism: Multidimensional Research Findings",slug:"advantages-of-bilingualism-and-multilingualism-multidimensional-research-findings",totalDownloads:3535,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Bilingualism and multilingualism are often perceived and considered as a problem or a major challenge to individual and/or societal development. In most instances, the only advantage recognized for the bilingual individual is the ability to use two or more languages. Beyond that, monolingualism seems more attractive, and monolinguals especially those speaking a language of wider communication seem quite content with their lot, often adopting a condescending attitude toward minority native speakers of a mother tongue who in addition have to acquire their language. Adepts of the ideology of monolingual habitus (one nation, one language) have tended to consider multilingualism and linguistic diversity as a curse and an obstacle to nation building. This chapter argues against the above ideology through a compendium of empirical evidence of advantages of individual bilingualism, societal multilingualism, and linguistic diversity of nations that emerge from research findings in the last several decades.",book:{id:"6201",slug:"multilingualism-and-bilingualism",title:"Multilingualism and Bilingualism",fullTitle:"Multilingualism and Bilingualism"},signatures:"Evelyn Fogwe Chibaka",authors:[{id:"220564",title:"Dr.",name:"Fogwe Evelyn",middleName:null,surname:"Chibaka",slug:"fogwe-evelyn-chibaka",fullName:"Fogwe Evelyn Chibaka"}]},{id:"54552",title:"Language Evolution, Acquisition, Adaptation and Change",slug:"language-evolution-acquisition-adaptation-and-change",totalDownloads:1951,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"In the twenty‐first century, there are between 6000 and 8000 different languages spoken in the world, all of which are in a continuous state of evolving, by inter‐mixing or stagnating, growing or contracting. This occurs through changes in the population size of the people who use them, the frequency and form of their use in different media, through migration and through inter‐mixing with other languages. As Stadler et al. argue, human languages are a ‘culturally evolving trait’ and when it occurs language change is both sporadic and robust (faithfully replicated) and the main established variants are replaced by new variants. Only about 200 of these disparate languages are in written as well as spoken form, and most, except the popular ones like Mandarin, Spanish, English, Hindi, Arabic, Portuguese, Bengali, and Russian, are in decline of use. But how did language itself evolve and come to be the most important innate tool possessed by people? The complex issue of language evolution continues to perplex because of its associations with culture, social behaviour and the development of the human mind.",book:{id:"5726",slug:"sociolinguistics-interdisciplinary-perspectives",title:"Sociolinguistics",fullTitle:"Sociolinguistics - Interdisciplinary Perspectives"},signatures:"Luke Strongman",authors:[{id:"189739",title:"Dr.",name:"Luke",middleName:null,surname:"Strongman",slug:"luke-strongman",fullName:"Luke Strongman"}]},{id:"57928",title:"Aspects and Dimensions of Bilingualism and Multilingualism in Europe",slug:"aspects-and-dimensions-of-bilingualism-and-multilingualism-in-europe",totalDownloads:1192,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter aims to explore certain aspects and dimensions of bilingualism and multilingualism, with a focus on Europe. The issues analyzed are the following: languages coming into contact due to conquest or colonization, bilingualism and multilingualism as a reflection of political trends and contemporary lifestyles, official languages, and heritage languages. The field of language education is also treated, when it comes to the benefits of being bilingual and multilingual, which are also analyzed from the perspective of evolutionary psychology, with the claim that knowledge of several languages ensures survival and better living conditions. The conclusions are that bilingualism and multilingualism are a necessity and an inevitable phenomenon in today’s Europe, especially due to migration and due to the need of adapting to and accepting other cultures. What is more, there is a universality of bilingualism and multilingualism throughout history.",book:{id:"6201",slug:"multilingualism-and-bilingualism",title:"Multilingualism and Bilingualism",fullTitle:"Multilingualism and Bilingualism"},signatures:"Irina-Ana Drobot",authors:[{id:"209184",title:"Ph.D.",name:"Irina-Ana",middleName:null,surname:"Drobot",slug:"irina-ana-drobot",fullName:"Irina-Ana Drobot"}]},{id:"54479",title:"Grounding Functional Requirements Classification in Organizational Semiotics",slug:"grounding-functional-requirements-classification-in-organizational-semiotics",totalDownloads:1492,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"An information system has its requirements rooted in organizational policies and behaviour, the complexity of which is governed by the hierarchy and the dependencies of the activities within the organization. This complexity makes requirements analysis for an envisioned information system an intricately challenging task. The absence of well‐defined body of knowledge clearly specifying which requirements must be looked for further deepens the challenge of requirements analysis. Though requirements are broadly classified as functional and non‐functional, a special concern is required for functional requirements as the information system is expected to meet the behaviour of the organization. We explore the role of organizational semiotics in extracting and analysing functional requirements for an envisioned information system. We also report the results of supervised learning to automatically extract the functional requirements from the existing available documentation.",book:{id:"5702",slug:"interdisciplinary-approaches-to-semiotics",title:"Interdisciplinary Approaches to Semiotics",fullTitle:"Interdisciplinary Approaches to Semiotics"},signatures:"Richa Sharma",authors:[{id:"195986",title:"Dr.",name:"Richa",middleName:null,surname:"Sharma",slug:"richa-sharma",fullName:"Richa Sharma"}]}],onlineFirstChaptersFilter:{topicId:"280",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:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,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:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:null,scope:"