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Measuring physical fitness in Persons with Severe/Profound ...

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Furthermore, the mean and the ranges of heart rate zones of the participants are calculated.To ga<strong>in</strong> <strong>in</strong>sight <strong>in</strong>to the heart rate patterns of persons <strong>with</strong> PIMD, three decompos<strong>in</strong>g variancecomponents are <strong>in</strong>volved, us<strong>in</strong>g l<strong>in</strong>ear mixed model: 1) between persons, 2) <strong>with</strong><strong>in</strong> personsbetween days, and 3) <strong>with</strong><strong>in</strong> days. The mean heart rate and variance proportion component (VPC)were calculated between persons, <strong>with</strong><strong>in</strong> persons and between days. The VPC as an <strong>in</strong>dicator ofvariance <strong>in</strong> heart rate zone, is calculated by divid<strong>in</strong>g variance by the total variance. Us<strong>in</strong>g thevariance proportion component the generalizability coefficient for the relative differences [35]was calculated. A generalizability coefficient of 0.80 or more <strong>in</strong>dicates a sufficient reliability.Furthermore, <strong>in</strong> order to identify dist<strong>in</strong>ct groups of heart rate patterns and to exam<strong>in</strong>e theseclasses <strong>in</strong> heart rate, we used a latent class analysis [36, 37]. As the dependent variable was acount variable, a Poisson distribution was used for this analysis.Relations between heart rate patterns and level of activityTo determ<strong>in</strong>e how heart rate relates to the level of <strong>physical</strong> activity, we estimated equations of<strong>physical</strong> activity as a dependent variable of heart rate. Furthermore, we exam<strong>in</strong>ed the <strong>in</strong>fluence of‘time of the day’ on this relation.Influence of covariatesThe <strong>in</strong>fluence of the covariates gender, age, time of day, daily activities, motor disabilities,spasticity, and sensory disabilities were evaluated <strong>in</strong> the mixed model.ResultsThe data were analysed us<strong>in</strong>g SPSS 16.0 and multilevel analysis <strong>with</strong> the computerprogram Mlw<strong>in</strong>[38].In total, 24 persons <strong>with</strong> PIMD participated <strong>in</strong> this study. Six women participated <strong>with</strong> a meanage (SD) of 30 years (17), the mean age (SD) of the men was 36 years (15). Table 2 shows thecharacteristics of the participants.Chapter 8 | 127

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