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 ).