Table 1

Health behaviour and adiposity stratified by income quintile

NHighest income quintileMiddle income quintileLowest income quintileGlobal p valueChange per 10K higher incomep Value
Nutrition
 Fruits and vegetable (number/day)29743.0±1.62.8±1.62.6±1.52.5±1.62.5±1.70.02+0.84 (+0.58; +1.11)<0.001
 Soft drinks (number/day)29910.4±0.70.5±0.70.5±0.70.6±0.80.7±0.90.009−0.36 (−0.49; +0.23)<0.001
 Skip breakfast (days/week)30411.7±2.11.8±2.22.1±2.22.3±2.32.4±2.40.001−1.08 (−1.45; −0.71)<0.001
 Restaurant meals (number/week)30011.0±1.11.1±1.11.2±1.11.3±1.31.3±1.30.17−0.33 (−0.57; −0.09)0.007
Physical activity
 Physical activity (sessions/week)290111.3±4.810.7±4.710.8±4.910.9±4.710.3±4.90.17+1.09 (+0.04; +2.14)0.04
 Screen time (h/days)28755.1±2.75.4±2.85.6±2.86.0±2.96.2±3.20.03−1.32 (−1.90; −0.75)<0.001
Adiposity
 BMI z-score33910.53±1.120.61±1.120.65±1.150.63±1.220.72±1.190.06−0.34 (−0.53; −0.16)<0.001
 Waist-to-height ratio33870.45±0.060.46±0.070.46±0.70.46±0.070.46±0.070.05−1.86 (−3.05; −0.68)0.002
  • Global p value from multivariable linear regression models adjusted for within-school clustering through a compound symmetry covariance structure and Wald χ2 test to determine statistical significance. All regression models adjusted for age at enrolment, gender, rural/urban area and number of siblings. Values in bold are significantly different from the lowest income quintile value in pairwise comparison.

  • BMI, body mass index.