|  | Ba | 95% CI | |
---|---|---|---|---|
Behavioural factors | ||||
 Model 1 | Lack of daily fruit consumption (ref. = daily consumption) | − 0.48 | − 0.57 | − 0.39 |
 Model 2 | Lack of daily vegetable consumption (ref. = daily consumption) | − 0.33 | − 0.43 | − 0.25 |
 Model 3 | Lack of daily water drinking (ref. = daily consumption) | − 0.44 | −0.53 | − 0.35 |
 Model 4 | Lack of daily breakfast consumption (ref. = daily consumption) | −0.33 | −0.42 | − 0.24 |
 Model 5 | Risk of problematic social media use (ref. = no risk) | −0.34 | −0.46 | − 0.21 |
 Model 6 | Risk of problematic gaming (ref. = no risk) | −0.53 | −0.69 | − 0.35 |
 Model 7 | Daily smoking (ref. = not smoker) | −0.31 | −0.52 | − 0.11 |
 Model 8 | Cannabis use in the last 4 weeks (ref. = no use) | −0.21 | − 0.41 | −0.01 |
 Model 9 | Binge drinking (ref. = no binge drinking) | 0.03 | −0.09 | 0.15 |
Psychosocial factors | ||||
 Model 10 | Poor self-perceived health (ref. = good) | −0.50 | − 0.63 | −0.37 |
 Model 11 | Low peer social support (ref. = high) | −0.71 | −0.86 | − 0.56 |
Environmental factors | ||||
 Model 12 | Weak connection with the neighbourhood (ref. = strong) | −0.21 | −0.35 | − 0.08 |