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Continuous data were assessed for normality and if normally distributed, parametric statistics were used.
Numerical data were checked for normal distribution and described as mean and standard deviation if normally distributed and as median and inter-quartile range if not normally distributed.
Data are presented as mean ± SE if normally distributed and as median (range) otherwise.
Non-ambulatory patients have reduced BMD, although, it is not clear if normally weight bearing ambulatory patients are similarly vulnerable.
Quantitative variables were described as mean and standard deviation if normally distributed and as median [25th 75th percentiles] otherwise.
Quantitative variables are expressed as mean ± SD if normally distributed and median (interquartile range) if non-normally distributed.
Normality was assessed with a Kolmogorov Smirnov test; if significant, data were log-transformed and analysed if normally distributed.
Variables are shown as mean ± standard deviation if normally distributed, and median plus the 25th and 75th percentiles if otherwise.
Variables are shown as mean ± standard deviation if normally distributed and median and the 25th and 75th percentiles if otherwise.
Data are expressed as mean ± standard deviation if normally distributed and as median (interquartile range) when non-normally distributed.
IF normally goes hand in hand with a more "flexible" approach to dieting.
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