for future research it is recommended to adjust this equation so as to ensure a valid prediction ofthe maximal heart of this specific group.Furthermore, we compared the achieved mean distance <strong>in</strong> the 6MWD of our participants<strong>with</strong> values reported <strong>in</strong> other studies [25, 26, 27]. This comparison <strong>in</strong>dicated that persons <strong>with</strong>SIMD perform poorer on the 6MWD than those <strong>with</strong> other specific (chronic) health conditions<strong>in</strong>clud<strong>in</strong>g heart failure or COPD. The poor 6MWD results we observed suggest that the lowfunctional exercise capacity of <strong>in</strong>dividuals <strong>with</strong> SIMD is a serious health problem, which <strong>in</strong> turn cannegatively affect their <strong>in</strong>dependence <strong>in</strong> day-to-day activities.Based on this result, further research should be directed towards develop<strong>in</strong>g, implement<strong>in</strong>gand evaluat<strong>in</strong>g <strong>in</strong>terventions aimed at <strong>in</strong>creas<strong>in</strong>g functional exercise and aerobic capacity of SIMDclassified subjects thereby reduc<strong>in</strong>g related health problems.BalanceSufficient balance is necessary to perform daily activities. However, <strong>in</strong>dividuals <strong>with</strong> SIMD areparticularly at risk when it comes to the development of deficits <strong>in</strong> locomotor skills [28] and arelikely to have decreased balance. Yet, the feasibility and reliability of balance tests for subjects<strong>with</strong> SIMD had so far not been subject of research. The Berg Balance Scale (BSS) is a widely usedtest to quantify balance. Our study [29, chapter 6] revealed a sufficient percentage of successfulmeasurements by the modified BBS (mBBS), <strong>in</strong>dicat<strong>in</strong>g this test to be a feasible <strong>in</strong>strument fortest<strong>in</strong>g subjects <strong>with</strong> SIMD and GMFCS levels I and II. In addition, <strong>with</strong> exception of two out of thetwelve mBBS tasks to be performed by the participants, reliability for test and retest appeared tobe sufficient.In the BBS, a score of 80% (45 po<strong>in</strong>ts) <strong>in</strong>dicates sufficient balance [30]. As its modifications<strong>in</strong>fluence the cut-off value, it was impossible to apply the same cut-off value to the mBBS. Acomparison <strong>with</strong> scores <strong>in</strong> other target groups was hence not possible. Future research should bedirected towards establish<strong>in</strong>g accurate cut-off values.FlexibilityMuscle flexibility is a relevant part of <strong>physical</strong> <strong>fitness</strong> and can be measured us<strong>in</strong>g the ModifiedAshworth Scale (MAS) and the Modified Tardieu Scale (MTS). The results of our study [31, chapter7] showed the feasibility of the MAS and MTS to be sufficient for test<strong>in</strong>g participants <strong>with</strong> PIMD.For both <strong>in</strong>ter and <strong>in</strong>trarater reliability, measurements of the MAS revealed acceptable agreement.However, the measurements of the MTS showed <strong>in</strong>sufficient agreement for both test-retest and<strong>in</strong>terrater reliability.For our target group the MAS showed a better test-retest and <strong>in</strong>terrater reliability than theMTS, which contradicts the results of both Gielen [32] and Mehrholz et al. [33] who found theopposite to be true for subjects <strong>with</strong> respectively ID and adult patients <strong>with</strong> severe bra<strong>in</strong> <strong>in</strong>jury.In their studies the psychometric properties of the MTS were better than those of the MAS. Ourmeasurements of the MTS however, put forward LOAs not narrow enough to <strong>in</strong>dicate agreementbetween the two measurements of the same subject, lead<strong>in</strong>g us to conclude the LOAs for the MTSmeasurements to be cl<strong>in</strong>ically unacceptable.Other authors [34] have suggested the MTS to be a more appropriate cl<strong>in</strong>ical measure ofspasticity than the MAS. We thus assessed whether the LOA of the MTS measurements of oursubjects <strong>with</strong> spasticity was narrower than that of our subjects <strong>with</strong>out spasticity.Chapter 9 | 143
Yet, no difference was found between these groups. For our target group, <strong>in</strong>clud<strong>in</strong>g thosesuffer<strong>in</strong>g from spasticity, MAS seems the preferred measurement <strong>in</strong>strument. This preferencemay be accounted for by the <strong>in</strong>teraction beween multiple disabilities <strong>in</strong> our study population,which may differ <strong>in</strong> that respect from the study populations those of Mehrholz [34] and Gielen[33].However, the validity of the aforementioned <strong>in</strong>struments for measur<strong>in</strong>g spasticity andmuscle tone is beyond the scope of this study. We recommend the validity of the MAS to beexam<strong>in</strong>ed <strong>in</strong> future studies, <strong>with</strong> a focus on measur<strong>in</strong>g the quality of daily movement rather thanmeasur<strong>in</strong>g spasticity, as the MAS may be more suitable for measur<strong>in</strong>g the first.Physical activityDaily <strong>physical</strong> activity contributes directly to health [35] and is an important factor <strong>in</strong> ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>gand improv<strong>in</strong>g <strong>physical</strong> <strong>fitness</strong>. Monitor<strong>in</strong>g daily <strong>physical</strong> <strong>fitness</strong> <strong>in</strong> persons <strong>with</strong> SPIMD is thus animportant step <strong>in</strong> identify<strong>in</strong>g those at health risks.Our research [chapter 8] has shown that daily <strong>physical</strong> activity can be reliably monitoredthrough measur<strong>in</strong>g heart rate patterns. Yet, further exploration of other <strong>in</strong>fluential factors suchas emotions [36] is still recommended. Time of day and age have considerable <strong>in</strong>fluence on heartrate patterns. However, the analysis of heart rate patterns suggests other, probably more personalfactors to have a significant <strong>in</strong>fluence on heart rate patterns [37] which can be explored <strong>in</strong> futureresearch. F<strong>in</strong>ally, our study shows that based on measur<strong>in</strong>g heart rate patterns, <strong>in</strong>dividuals<strong>with</strong> PIMD do not meet the standards of sufficient activity as proposed by the guidel<strong>in</strong>es of theAmerican College of Sports Medic<strong>in</strong>e [38]. Future research can shed a light on the suitability andvalidity of these guidel<strong>in</strong>es for a population <strong>with</strong> PIMD or SPIMD.Methodological issuesThe first methodological issue we encountered had to do <strong>with</strong> the lack of a golden standard.As validity can only be exam<strong>in</strong>ed aga<strong>in</strong>st a golden standard, it would have been convenient anddesirable for a golden standard to be available for every s<strong>in</strong>gle <strong>in</strong>strument measur<strong>in</strong>g a certa<strong>in</strong>concept. Yet realistically, golden standards for our research population are unfortunately simplynot available. If feasible, we attempted to assess validity, for example by perform<strong>in</strong>g a supramaximal block test on the treadmill.Moreover, often neither standard values nor cut-off scores are available, as was the case for theaSRT nor the mBBS.Another methodological issue is related to statistical power. Due to both the relativelysmall group of persons <strong>with</strong> SPIMD and a number of exclusion criteria, a rather small numberof subjects were able to participate <strong>in</strong> the studies described <strong>in</strong> this thesis. However, despite therelatively small study groups the test-retest reliability of mBBS, walk<strong>in</strong>g tests, bodycompositionmeasurements and the MAS were comparable to those of other and larger target groups. In futureresearch, more care facilities and thus subjects should be <strong>in</strong>cluded and classified on both of levelof ID and locomotor skills. This may improve sample size and thereby power. Then it might bepossible to formulate golden standards, group specific standard values and cut-off scores, <strong>with</strong>which the validity of tests can be exam<strong>in</strong>ed and the testscores can be compared.Despite the fact that only cross-sectional designs are used <strong>in</strong> this research, we will touchupon the problems of heterogeniety <strong>in</strong> samples <strong>with</strong> SPIMD <strong>in</strong> the framework of <strong>in</strong>tervention144 | Chapter 9
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Measuring physical fitnessin person
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Rijksuniversiteit GroningenMeasurin
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Chapter 1IntroductionChapter 1 | 9
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overweight [15]. This prevalence is
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2002;40:436-444.19 Temple VA, Frey
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Chapter 2Feasibility and reliabilit
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IntroductionPhysical fitness and he
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GMFCS was presented to the investig
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Body weightTo determine the body we
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Table 1 Results of Wilcoxon rank te
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Calculation of heightThe mean (SD)
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DiscussionThe results of our study
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References1 Bouchard C, Shepard RJ,
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37 Rimmer J, Kelly LE, Rosentswieg
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Chapter 3Measuring waist circumfere
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IntroductionChildren and adults wit
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participants. These calculations as
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Data analysisThe data were analyzed
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Eighty representatives gave permiss
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Table 3. Mean peak heart rate achie
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AcknowledgementsThis research was f
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21 Hopkins WG, Gaeta H, Thomas AC,
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Chapter 5Psychometric quality of a
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IntroductionIntellectual disability
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Exclusion criteria were mental or p
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participant had fulfilled the task.
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preceding GXT results on HR peak. G
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References1 Schalock R, Brown I, Br
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37 Stanish HI, Temple VA, Frey GC.
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Chapter 6Feasibility and reliabilit
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IntroductionLocomotor skills in peo
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