Table 6.
Multiple logistic regression analysis for risk of being overweight or obese (BMI for age Z-score cut-offs), gender, site and dietary practices in different settings among Y15/MA adolescents.
| BMI Z-scores Y15/MA | 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 | 0.285 (0.212–0.383) | <0.001 | 0.283 (0.211–0.381) | <0.001 | 0.296 (0.219–0.399) | <0.001 | 0.294 (0.218–0.397) | <0.001 | ||
| Female | 1 | 1 | 1 | 1 | ||||||
| Site | 0.688 (0.424–1.118) | 0.13 | 0.650 (0.394–1.073) | 0.09 | 0.703 (0.431–1.147) | 0.16 | 0.666 (0.403–1.102) | 0.11 | ||
| Urban | 1 | 1 | 1 | 1 | ||||||
| Dietary practices/habits | ||||||||||
| Home | Frequency of eating main meal... | Never | 1 | 1 | 1 | 1 | ||||
| Some days | 0.876 (0.554–1.387) | 0.57 | 0.873 (0.551–1.382) | 0.56 | 0.882 (0.551–1.411) | 0.60 | 0.875 (0.546–1.401) | 0.58 | ||
| Almost everyday | 1.091 (0.719–1.656) | 0.68 | 1.081 (0.712–1.641) | 0.72 | 1.097 (0.715–1.682) | 0.67 | 1.082 (0.705–1.660) | 0.72 | ||
| Frequency of eating breakfast on weekend... | Regular | 1 | 1 | 1 | 1 | |||||
| Irregular | 1.476 (1.065–2.047) | 0.02 | 1.467 (1.058–2.035) | 0.02 | 1.538 (1.105–2.141) | 0.01 | 1.530 (1.099–2.129) | 0.01 | ||
| Frequency of eating breakfast on week days… | Regular | 1 | 1 | 1 | 1 | |||||
| Irregular | 1.148 (0.867–1.521) | 0.34 | 1.140 (0.860–1.511) | 0.36 | 1.121 (0.841–1.495) | 0.44 | 1.115 (0.836–1.487) | 0.46 | ||
| Frequency of consuming snacks whilst watching TV… | Regular | 1 | 1 | 1 | 1 | |||||
| Irregular | 0.763 (0.214–2.721) | 0.68 | 0.773 (0.217–2.757) | 0.69 | 0.792 (0.221–2.841) | 0.72 | 0.802 (0.223–2.877) | 0.73 | ||
| Number of snacks consumed whilst watching… | 1.00 (0.980–1.020) | 0.97 | 1.005 (0.983–1.028) | 0.65 | 0.996 (0.974–1.018) | 0.71 | 1.000 (0.977–1.024) | 1.00 | ||
| Community | Frequency of fast foods items consumption... | Regular | 1 | 1 | ||||||
| Irregular | 0.838 (0.369–1.902) | 0.67 | 0.779 (0.327–1.855) | 0.57 | ||||||
| Number of fast food items consumed… | 0.991 (0.975–1.008) | 0.30 | 0.990 (0.972–1.008) | 0.28 | ||||||
| School | Frequency of tuck shop purchases... | Regular | 1 | 1 | ||||||
| Irregular | 0.738 (0.444–1.227) | 0.24 | 0.762 (1.457–1.272) | 0.30 | ||||||
| Number of tuck shop items purchased... | 1.002 (0.984–1.021) | 0.79 | 1.006 (0.987–1.026) | 0.54 | ||||||
| Frequency of bringing lunch box... | Regular | 1 | 1 | |||||||
| Irregular | 0.815 (0.562–1.183) | 0.28 | 0.821 (0.566–1.192) | 0.30 | ||||||
| R2 values of each model | 0.098 | 0.099 | 0.098 | 0.1 | ||||||
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 Y15/MA. Significant differences were set at p < 0.05. Model 1 was 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.