Table 3. Crude and adjusted analyses for the association between excessive screen time and associated factors in adolescents from public and private schools of João Pessoa, northeastern Brazil, 2009.
| Variables | Excessive screen timea | |||
|---|---|---|---|---|
| Crude OR (95%CI) | p | Adjusted ORb (95%CI) | p | |
| Gender | <0.001 | <0.001 | ||
| Female | 1 | 1 | ||
| Male | 1.68 (1.39–2.04) | 1.49 (1.21–1.84) | ||
| Skin color | 0.075 | |||
| White | 1 | – | ||
| Non-white | 0.83 (0.68–1.02) | – | ||
| Age range (years) | <0.001 | <0.001 | ||
| 14–15 | 1.87 (1.40–2.51) | 1.46 (1.07–2.00) | ||
| 16–17 | 1.56 (1.18–2.06) | 1.31 (1.30–2.51) | ||
| 18–19 | 1 | 1 | ||
| Socioeconomic status | <0.001 | <0.001 | ||
| A and B (high) | 3.54 (2.56–4.91) | 3.24 (2.32–4.52) | ||
| C (middle) | 2.36 (1.72–3.24) | 2.27 (1.64–3.13) | ||
| D and E (low) | 1 | 1 | ||
| Physical activity level | 0.002 | |||
| Physically active | 1 | – | ||
| Physically inactive | 1.33 (1.11–1.60) | – | ||
| Nutritional status | 0.140 | |||
| No excess body weight | 1 | – | ||
| Excess body weight | 1.25 (0.93–1.67) | – | ||
a
Watching TV, using the computer and playing videogames for more than 2h/day.
b
Analysis adjusted by sociodemographic variables, physical activity level and nutritional status.– Data showed no significant association after adjustment (p>0.05).