IntroductionPhysical <strong>fitness</strong> and health are related accord<strong>in</strong>g to the Toronto model [1], <strong>in</strong> the sense that agood <strong>physical</strong> <strong>fitness</strong> may reduce health risks [2, 3]. Health can be def<strong>in</strong>ed as a state of complete<strong>physical</strong>, mental and social well-be<strong>in</strong>g and not merely the absence of disease or <strong>in</strong>firmity [WorldHealth Organization (WHO) 4, 5]. In addition, health is considered a resource for everyday life, notthe objective of liv<strong>in</strong>g. Health is a positive concept emphasis<strong>in</strong>g social and personal resources,as well as <strong>physical</strong> capacities [6]. The American College of Sports Medic<strong>in</strong>e [(ACSM), 7] gives thefollow<strong>in</strong>g def<strong>in</strong>ition of health-related <strong>physical</strong> <strong>fitness</strong>: ‘Health related <strong>physical</strong> <strong>fitness</strong> is def<strong>in</strong>edas a set of attributes that people have or achieve that relates to the ability to perform <strong>physical</strong>activity’.In the ACSM guidel<strong>in</strong>es [8], body composition is def<strong>in</strong>ed as a component of health-related<strong>physical</strong> <strong>fitness</strong>; this implies that assessment of health-related <strong>physical</strong> <strong>fitness</strong> <strong>in</strong>cludes measuresof body composition [8]. Higher body weights are associated <strong>with</strong> decrease <strong>in</strong> health [9]: be<strong>in</strong>gobese or overweight substantially <strong>in</strong>creases the risk of morbidity of diseases, like heart andvascular diseases, type 2 diabetes, and respiratory problems [10]. In the Netherlands, over 40%of adults <strong>with</strong> an <strong>in</strong>tellectual disability (ID) have been shown to be overweight [11]. This figure issimilar <strong>in</strong> other countries [12, 13]. Reliable measurements are essential <strong>in</strong> order to prevent these<strong>in</strong>dividuals from becom<strong>in</strong>g overweight or to reduce the weight of those already overweight.Anthropometry provides techniques for assess<strong>in</strong>g the size, proportions and compositionof the human body; these techniques are universally applicable, <strong>in</strong>expensive and non-<strong>in</strong>vasive[14]. To assess an <strong>in</strong>dividual’s body composition, body length, body weight, waist circumference,sk<strong>in</strong>fold measurement and bioelectrical impedance tests are used [15].If height cannot be measured, it can be estimated <strong>with</strong> alternative height measurementssuch as tibia length, ulna length, knee height or demispan, described by the ‘MUST’ ExplanatoryBooklet [16]. Hogan [17] described knee height, Madden [18] ulna length and We<strong>in</strong>brenner [19]demi-span as alternative measurements. Long bone length is known to be the best <strong>in</strong>dicator ofstature [20]. Moreover, ulna and tibia length are preferred, because measurements of knee heightor demispan may be <strong>in</strong>fluenced by deformation of the <strong>in</strong>cluded jo<strong>in</strong>ts: the ankle jo<strong>in</strong>t <strong>in</strong> measur<strong>in</strong>gknee height and the shoulder, elbow, wrist and f<strong>in</strong>ger jo<strong>in</strong>ts <strong>in</strong> measur<strong>in</strong>g demispan. Because ofease of measurement and low cost, tibia length has been advocated by Stevenson [21] as theproxy measurement of choice <strong>in</strong> mobility-impaired subjects. Duyar & Pel<strong>in</strong> [20] advised whenestimat<strong>in</strong>g height based on tibia length, the <strong>in</strong>dividual’s general stature category should be taken<strong>in</strong>to consideration, and group specific formulae should be used for short and tall subjects.Body mass <strong>in</strong>dex (BMI) provides a more accurate measure of total body fat than bodyweight alone [15]. The correlation between BMI and body fat content is fairly strong; however, thiscorrelation varies accord<strong>in</strong>g to gender, race and age [22, 23]. BMI has some limitations: BMI mayoverestimate body fat <strong>in</strong> very muscular people and underestimate body fat <strong>in</strong> some underweightpeople, who have lost lean tissue, such as the elderly [15].Another means of assess<strong>in</strong>g body fat content is through waist circumference. Waistcircumference as an <strong>in</strong>dicator of abdom<strong>in</strong>al fat, is an important predictor of health risks [15]like heart and vascular diseases and type 2 diabetes [24, 25]. Accord<strong>in</strong>g to the study of Nadas[26], the <strong>in</strong>tra-observer and <strong>in</strong>ter-observer differences <strong>in</strong> repeated measurements of waistcircumference are small when expressed <strong>in</strong> absolute values.Some publications regard sk<strong>in</strong>fold thickness as a better predictor of high body fat contentChapter 2 | 23
<strong>in</strong> adults than BMI [27]. Thus, <strong>in</strong> addition to BMI and waist circumference, it is important to usean additional method to assess body composition, such as sk<strong>in</strong>fold measurements. The reliabilityof waist circumference and sk<strong>in</strong>fold measurements was exam<strong>in</strong>ed by Bemben [28] <strong>in</strong> men aged20–74. For lean, healthy <strong>in</strong>dividuals, most techniques appeared to provide accurate values, butas <strong>in</strong>dividuals age there is more discrepancy between the methods. If <strong>in</strong>dividuals are frail or notmobile, anthropometry can be used as long as its limitations are noted [28]. Stevenson et al[29] described the reliability of weight, tibia length and sk<strong>in</strong>fold measurements. These authorsdescribed that reliability was comparable <strong>with</strong> other published reports [30] <strong>in</strong> children <strong>with</strong> CP.Body composition measurements are widely used <strong>in</strong> healthy subjects and <strong>in</strong> patients [31, 15, 32, 27,26]. In subjects <strong>with</strong> mild ID, prevalence of overweight and obesity is described among others byBhaumik et al, Emerson, Melville et al and, Merriman et al [33, 34, 35, 36], us<strong>in</strong>g BMI. Furthermore,validity of measurements of BMI, waist-to-hip-ratio and sk<strong>in</strong>folds <strong>in</strong> people <strong>with</strong> learn<strong>in</strong>gdisabilities was exam<strong>in</strong>ed by Rimmer [37].To date, however, no available data exist on the feasibility and reliability of perform<strong>in</strong>g thesemeasurements <strong>in</strong> persons <strong>with</strong> severe or profound <strong>in</strong>tellectual and sensory disabilities (SIMD).The feasibility and reliability of measur<strong>in</strong>g the body composition of these <strong>in</strong>dividuals, however,may be less than that <strong>in</strong> other subjects, because these persons <strong>with</strong> severe or profound ID mayhave an <strong>in</strong>tellectual level of a young child [International Association for the Scientific Study ofIntellectual Disabilities (IASSID); 38], may not understand much of their environment, and may bebl<strong>in</strong>d or partially sighted and thus cannot see their environment. They are completely dependenton their caregivers and not accustomed to the above-mentioned assessments. Other potentialconfound<strong>in</strong>g factors <strong>in</strong>clude motivational problems, agitation, anxiety and misunderstand<strong>in</strong>g. Forexample, some are unable to stand up aga<strong>in</strong>st a wall, whereas others do not understand why theyfeel a p<strong>in</strong>ch dur<strong>in</strong>g sk<strong>in</strong>fold measurements. <strong>Measur<strong>in</strong>g</strong> body composition is very relevant, becausethese subjects may suffer from <strong>in</strong>activity and have <strong>in</strong>creased risk for obesity [39, 40].The purpose of this study was (1) to determ<strong>in</strong>e the feasibility of perform<strong>in</strong>g bodycomposition measurements on participants <strong>with</strong> severe <strong>in</strong>tellectual and sensory disabilities;(2) to determ<strong>in</strong>e the test–retest reliability of measur<strong>in</strong>g body composition variables <strong>in</strong> theseparticipants; and (3) to describe the body composition of these participants.Materials and methodsSubjectsParticipants were classified accord<strong>in</strong>g to an adapted Gross Motor Function Classification System[(GMFCS), 41], a five-level system used to classify the severity of motor abilities <strong>in</strong> people <strong>with</strong>mental and <strong>physical</strong> disabilities. For example, participants hav<strong>in</strong>g a ‘level 1’ classification cangenerally walk <strong>with</strong>out restrictions but tend to be limited <strong>in</strong> some more advanced motor skills.Participants <strong>with</strong> a ‘level 5’ classification have generally very limited mobility, even <strong>with</strong> the use ofassistive technology. These participants always use a wheelchair.The orig<strong>in</strong>al GMFCS was adapted for two reasons:• In the study population, some participants had better motor skills than those outl<strong>in</strong>ed for GMFCSlevel 1. Thus, we added a level 0 to the classification system; and• Most of the participants had to deal <strong>with</strong> impaired vision, and as a result they could not jump andrun spontaneously. If a participant spontaneously <strong>in</strong>creased his speed dur<strong>in</strong>g walk<strong>in</strong>g, <strong>in</strong>stead ofjump<strong>in</strong>g and runn<strong>in</strong>g, the participant was classified as GMFCS level 1. The adapted version of the24 | Chapter 2
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Exclusion criteria were mental or p
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participant had fulfilled the task.
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37 Stanish HI, Temple VA, Frey GC.
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IntroductionLocomotor skills in peo
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this study was to evaluate the feas
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Modified Berg Balance Scale scoresI
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References1 Van Erkelens-Zwets JHJ
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39 Dorai-Raj S. Binomial Confidence
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48 persons18 persons lacked permiss
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patterns in this study we can concl
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References1 Emerson E. Underweight,
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38 Multilevel Models Project (2004)
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on this. To sum up, testing in pers
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studies. Randomized Controlled Tria
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19 Lahtinen U, Rintala P, Malin A.
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problems in both locomotor skills a
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InleidingVoldoende bewegen en fithe
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Verder is duidelijk geworden dat me
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De leden van de leescommissie, prof
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Judith van der Boom, dank je wel vo
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