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

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

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participants. These calculations assume a type I error (alpha) of 0.05, two-tailed, and a type IIerror (beta) of 20%; that is, a statistical power of 80%. The data were analyzed us<strong>in</strong>g SPSS 14.0.To determ<strong>in</strong>e whether significant differences between sup<strong>in</strong>e waist circumference andstand<strong>in</strong>g waist circumference exist, we analyzed the differences us<strong>in</strong>g both a paired t-test andWilcoxon signed rank test. Wilcoxon signed rank tests were also used to get a better impression ofthe distribution of the data. The level of statistical significance was set at 0.05.Furthermore, limits of agreement (LOA) between sup<strong>in</strong>e and stand<strong>in</strong>g waist circumferencemeasurements were calculated accord<strong>in</strong>g to the procedure described by Bland and Altman [24].Predict<strong>in</strong>g stand<strong>in</strong>g waist circumferenceTo determ<strong>in</strong>e whether stand<strong>in</strong>g waist circumference can be predicted by us<strong>in</strong>g sup<strong>in</strong>e waistcircumference and to determ<strong>in</strong>e the <strong>in</strong>fluence of the covariates gender, age, BMI, or pastpregnancy, first we performed a simple l<strong>in</strong>ear regression analysis of stand<strong>in</strong>g waist circumferenceon each variable separately. Significance (p

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