Results of the Final Models for the Relationships between Socio-demographic Factors and Sedentary Behavior(s).

*p< 0.05
**p< 0.01
***p< 0.001
OR = odds ratio, C.I. = confidence interval, S.E. = Standard Error
a,b Categories with different indices differ significantly (p< 0.05). Each column represents the results of one statistical model. All models were adjusted for accelerometer-derived moderate-to-vigorous physical activity (centered around its grand mean).
1 The logistic model estimates the relationships between the independent variables and the odds of having driven a car / used the computer in the last 7 day.
2 The gamma model estimates the relationships between the independent variables and the amount of driving a car / computer use (in minutes/day) among those who have driven a car / used the computer in the last 7 days.
3 Exp b = exponent of b, all gamma models were fitted using a log link function, the exponent of the b’s can be interpreted as a proportional increase in the dependent variable (in minutes/day) with a one-unit increase in the independent variable.
4 Adjusted for accelerometer-derived moderate-to-vigorous physical activity, number of valid days and number of valid hours/valid day (centered around their grand mean). The intercept for this model was 603.30 (S.E. = 13.85) minutes/day.
Results of the Final Models for the Relationships between Socio-demographic Factors and Sedentary Behavior(s).