Table 3. Association between the purposes of Internet use and pubertal timing and weight status among male adolescents.
Chatting | Gaming | Non-academic browsing | Pornography viewing | |||||
---|---|---|---|---|---|---|---|---|
N (%) | aOR (95% CI) | N (%) | aOR (95% CI) | N (%) | aOR (95% CI) | N (%) | aOR (95% CI) | |
Pubertal development | ||||||||
Early puberty | 69 (29.5) | 1.01 (0.72–1.41) | 163 (69.7) | 0.89 (0.63–1.24) | 110 (47) | 1.17 (0.86–1.61) | 23 (9.8) | 1.84 (1.04–3.28) |
On-time puberty | 204 (28.3) | Reference | 508 (70.5) | Reference | 296 (41.1) | Reference | 39 (5.4) | Reference |
Late puberty | 67 (23.4) | 0.72 (0.51–1.02) | 199 (69.6) | 0.93 (0.68–1.28) | 93 (32.5) | 0.76 (0.56–1.03) | 15 (5.2) | 1.07 (0.55–2.08) |
BMI at W1 | ||||||||
Low weight | 32 (22.9) | 0.83 (0.50–1.39) | 88 (62.9) | 0.72 (0.45–1.14) | 43 (30.7) | 0.71 (0.46–1.13) | 5 (3.6) | 0.67 (0.22–2.00) |
Normal weight | 251 (27.6) | Reference | 643 (70.8) | Reference | 373 (41.1) | Reference | 55 (6.1) | Reference |
Overweight | 33 (25.4) | 0.93 (0.51–1.69) | 85 (65.4) | 0.83 (0.47–1.46) | 60 (46.2) | 1.16 (0.68–1.99) | 8 (6.2) | 1.12 (0.37–3.37) |
Obesity | 22 (37.3) | 2.11 (0.74–6.02) | 50 (84.7) | 1.98 (0.64–6.14) | 21 (35.6) | 0.86 (0.32–2.30) | 8 (13.6) | 5.21 (0.93–29.22) |
BMI at W3 | ||||||||
Thin weight | 31 (21.8) | 0.86 (0.51–1.45) | 96 (67.6) | 0.99 (0.62–1.60) | 44 (31) | 0.89 (0.56–1.42) | 6 (4.2) | 0.83 (0.28–2.48) |
Normal weight | 254 (27.7) | Reference | 642 (70) | Reference | 375 (40.9) | Reference | 55 (6) | Reference |
Overweight | 34 (28.3) | 0.93 (0.51–1.72) | 82 (68.3) | 0.83 (0.46–1.48) | 54 (45) | 1.18 (0.68–2.04) | 10 (8.3) | 1.04 (0.35–3.11) |
Obesity | 21 (33.9) | 0.75 (0.29–2.13) | 50 (80.6) | 1.12 (0.39–3.23) | 26 (31.9) | 1.02 (0.39–2.65) | 6 (9.7) | 0.49 (0.08–2.99) |
ΔBMI-SDS W1-3 | 1.16 (0.83–1.61) | 0.98 (0.71–1.35) | 1.15 (0.85–1.55) | 1.25 (0.68–2.28) |
aOR represents adjusted odds ratio; CI, confidence interval; BMI-SDS, standardized score of body mass index; W1, Wave 1; W3, Wave 3. A significant difference in the χ2 linear-by-linear test for the association between variables of interest was marked in the bold type. Family monthly income was adjusted in multivariate binary logistic regression analysis.