Complex statistical analysis
The different models generated for the evaluation of diuresis, osmolality and creatinine during daytime, nighttime and 24h had 3 variables as randomisation stratification variables: age, body mass index (BMI), and movements (Table 2-5). The Akaike information criterion (AIC) of the given set of data are summarized in the tables, and were superior to the other alternative models tested.
An increase in body movement leads to a significant increase in diuresis during daytime, night-time and 24 hours (p=0,002, p= <0,001, and p=<0,001, respectively ) (Table 2 ).
An increase in body movement leads to a significant decrease in osmolality during night-time and 24 hours (p=0,009, and p0,004, respectively ). However, no significant influence of movement on osmolality was found during daytime (p=0,12 ) (Table 3 ).
An increase in body movement leads to a significant decrease in creatinine during the daytime, night-time and 24 hours (p=0,001, <0,001, and p=<0,001, respectively ) (Table 4 ).
An increase in body movement leads to a significant increase in sodium only during the daytime (p=0,046). However, this meaning does not exist in terms of during the night-time and 24 hours (p=0,32, and p=0,84 respectively ) (Table 5 ).