Sentence examples for sedentary variable from inspiring English sources
The relationship between each sedentary variable and metabolic syndrome is presented in Table 3. Model 1, adjusted for age and sex, shows the greater likelihood of having metabolic syndrome in highest quartiles of sedentary time duration, percent sedentary time, and average length of a sedentary bout.
These five sedentary variables were averaged for one day and used as continuous variables.
Logistic regression analyses were performed to examine the associations between the sedentary variables (in quartiles) and metabolic syndrome.
Analysis of variance was conducted to examine the association between sedentary variables and the metabolic syndrome components.
Table 2 shows the age- and sex-adjusted means of the five sedentary variables according to each metabolic syndrome component and metabolic syndrome.
The cross-sectional design of this study limits inference about the direction of causality between the sedentary variables and metabolic risk.
Model 3 additionally adjusted for diabetes, heart disease, and physical activity by the average counts during active time was added to model 4. Interactions between sex, age, race/ethnicity, and all sedentary variables were tested but were found to be nonsignificant at α = 0.05.
Accelerometry-measured ST was the only sedentary behaviour variable that showed clear and consistent (positive) associations with all SEP variables (except from area-level deprivation).
Since in the present study children were monitored 24 hours · day-1, the sedentary time variable represents the entire day, not just sedentary time while at school.
We therefore summarized sedentary behavior variables as median (interquartile range median; IQR) for all variables except for total sitting time, which was summarized as mean (standard deviation).
Sedentary pattern variables included number of breaks in sedentary time, number of sedentary bouts (≥ 10 minutes) and total and average amount of time spent in those sedentary bouts.
