Table 5.
Multiple logistic regression analysis for risk of being overweight or obese (BMI for age Z-scores cut offs), gender, site and dietary practices.
| BMI Z-Scores Y13/EA | M1 | M2 | M3 | M4 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Exp (B) (95% CI) | p-Value | Exp (B) (95% CI) | p-Value | Exp (B) (95% CI) | p-Value | Exp (B) (95% CI) | p-Value | |||
| Sex | 0.402 (0.301–0.538) | <0.001 | 0.399 (0.298–0.535) | <0.001 | 0.402 (0.300–0.538) | <0.001 | 0.401 (0.299–0.537) | <0.001 | ||
| Female | 1 | 1 | 1 | 1 | ||||||
| Site | 0.604 (0.367–0.995) | 0.60 | 0.558 (0.332–0.939) | 0.03 | 0.580 (0.349–0.964) | 0.04 | 0.547 (0.324–0.924) | 0.02 | ||
| Urban | 1 | 1 | 1 | 1 | ||||||
| Dietary Practices/Habits | ||||||||||
| Home | Frequency of eating main meal... | Never | 1 | 1 | 1 | 1 | ||||
| Some days | 0.555 (0.349–0.885) | 0.01 | 1.1779 (1.115–2.836) | 0.02 | 1.794 (1.126–2.860) | 0.01 | 1.777 (1.114–2.835) | 0.02 | ||
| Almost everyday | 0.611 (0.421–0.888) | 0.01 | 1.627 (1.119–2.366) | 0.01 | 1.624 (1.117–2.361) | 0.01 | 1.610 (1.106–2.343) | 0.013 | ||
| Frequency of eating breakfast on weekend... | Regular | 1 | 1 | 1 | 1 | |||||
| Irregular | 1.210 (0.813–1.803) | 0.35 | 1.213 (0.814–1.807) | 0.34 | 1.210 (0.812–1.803) | 0.35 | 1.216 (0.815–1.813) | 0.34 | ||
| Frequency of eating breakfast on week days... | Regular | 1 | 1 | 1 | 1 | |||||
| Irregular | 1.399 (1.021–1.917) | 0.04 | 1.385 (1.010–1.900) | 0.04 | 1.390 (1.014–1.906) | 0.04 | 1.382 (1.007–1.896) | 0.05 | ||
| Frequency of consuming snacks whilst watching TV... | Regular | 1 | 1 | 1 | 1 | |||||
| Irregular | 1.289 (0.975–1.704) | 0.07 | 0.741 (0.494–1.110) | 0.15 | 0.761 (0.506–1.145) | 0.19 | 0.761 (0.506–1.145) | 0.19 | ||
| Number of snacks consumed whilst watching TV... | 0.998 (0.961–1.036) | 0.90 | 0.999 (0.961–1.038) | 0.97 | 1.001 (0.963–1.041) | 0.96 | ||||
| Community | Frequency of fast foods items consumption... | Regular | 1 | 1 | ||||||
| Irregular | 1.327 (0.502–3.508) | 0.57 | 1.327 (0.501–3.518) | 0.56 | ||||||
| Number of fast food items consumed... | 0.993 (0.976–1.011) | 0.44 | 0.994 (0.976–1.012) | 0.52 | ||||||
| School | Frequency of tuck shop purchases... | Regular | 1 | 1 | ||||||
| Irregular | 0.739 (0.423–1.288) | 0.29 | 0.742 (0.425–1.294) | 0.29 | ||||||
| Number of tuck shop items purchased... | 0.989 (0.967–1.011) | 0.33 | 0.991 (0.969–1.014) | 0.45 | ||||||
| R2 values of each model | 0.074 | 0.076 | 0.076 | 0.077 | ||||||
We performed multiple logistic regression analysis for being overweight and obese (cut offs set by using BMI for age Z-scores) with gender, centre and dietary practices and eating habits in different settings (home, community and environment) at Y13/EA. Significant differences set at p < 0.05. Model 1 adjusted for the crude model and dietary habits and eating practices within the home. Model 2 was adjusted for Model 1 and dietary habits and eating practices within the community. Model 3 was adjusted for Model 2 and dietary habits and eating practices within the school. Model 4 was adjusted for Model 3 and dietary habits and eating practices within the school.