Skip to main content

Table 3 Multivariate linear regression (for continuous outcomes) or logistic regression (for categorical outcomes) of association of socioeconomic status measures and physical activity (PA) and sitting time among girls

From: Association of socioeconomic, school-related and family factors and physical activity and sedentary behaviour among adolescents: multilevel analysis of the PRALIMAP trial inclusion data

  Total PA score
(MET-min/week)
Vigorous PA score
(MET-min/week)
Moderate PA score
(MET-min/week)
Walking score
(MET-min/week)
Active commuting Sport participation Sitting time(min/day)
β P β P β P β P OR [95% CI] P OR [95% CI] P β P
unstd (std) eta2 unstd (std) eta2 unstd (std) eta2 unstd (std) eta2      unstd (std) eta2
Socioeconomic characteristics
 Social, professional class of the family head               
  Executives, intermediate jobs, farmers, shopkeepers, craftsmen, managers (unskilled or skilled)               
  Employees and workers               
  Retired, inactive, unemployed               
  Family income level             0.0441   
  Low or average            1    
  High            1.3 [1.0; 1.7]    
 Residence area           <0.0001     
  Urban          1      
  Rural          0.4 [0.3; 0.5]      
School-related characteristics
 School type         0.0105
0.005
      0.0066
0.004
  General or technological        191.1 (0.07)       29.0 (0.08)  
  Professional        0       0  
 Schooling placement       <0.0001
0.01
  0.0027
0.005
      0.0305
0.006
  Typical or advanced      0   0       0  
  Late      218.7 (0.12)   147.8 (0.09)       −15.2 (−0.06)  
 School boarding status           <0.0001     
  Non-boarder          1      
  Half-boarder          0.3 [0.2; 0.4]      
  Full-boarder          5.0 [2.9; 8.8]      
Family characteristics
 Family composition           0.002     
  Two-parents          1      
  Single-parent          1.8 [1.2; 2.6]      
 Perceived parental PA level   0.0002
0.01
  <0.0001
0.02
        0.0002   
  Low or average 0   0         1    
  High 461.4 (0.1)   440.5 (0.14)         1.6 [1.2; 2.0]    
  1. β linear regression coefficient, OR odds ratio (logistic regression) and [95% CI confidence interval], P p-value, statistically significantly (p <0.05), unstd unstandardised, std standardised, unstandardised β divided by the ratio of the standard error of the dependent variable to the standard deviation of the regression, eta semi partial ŋ2 correlation ratio of the squared semi partial correlation