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Table 3 Prevalence of depression (n and %) and its association with physical activity time by gender and grade among junior high school students in Nanjing, China

From: Physical activity inversely associated with the presence of depression among urban adolescents in regional China

  Prevalence n (%)   
PA category
(hr/wk)
Depression Non-depression Unadjusted Odds ratio
(95% CI)*
Adjusted Odds ratio
(95% CI)**
Total     
0–0.9 120 (23.0) 402 (77.0) 1 1
1–7 147 (14.0) 906 (86.0) 0.63 (0.54, 0.74) 0.70 (0.57, 0.86)
8–14 68 (13.8) 426 (86.2) 0.58 (0.48, 0.71) 0.68 (0.53, 0.88)
15+ 49 (13.1) 326 (86.9) 0.53 (0.43, 0.66) 0.66 (0.50, 0.87)
Gender     
   Girls     
0–0.9 62 (21.7) 224 (78.3) 1 1
1–7 63 (10.7) 527 (89.3) 0.42 (0.29, 0.62) 0.56 (0.27, 0.64)
8–14 32 (13.2) 211 (86.8) 0.55 (0.34, 0.87) 0.65 (0.40, 1.08)
15+ 15 (10.3) 130 (89.7) 0.42 (0.23, 0.76) 0.35 (0.17, 0.69)
   Boys     
0–0.9 58 (24.6) 178 (75.4) 1 1
1–7 84 (18.1) 379 (81.9) 0.68 (0.46, 0.99) 0.74 (0.48, 1.13)
8–14 36 (14.3) 215 (85.7) 0.51 (0.32, 0.82) 0.54 (0.32, 0.91)
15+ 34 (14.8) 196 (85.2) 0.54 (0.34, 0.87) 0.56 (0.33, 0.96)
School Grade     
   7     
0–0.9 25 (18.9) 107 (81.1) 1 1
1–7 45 (13.4) 292 (86.6) 0.66 (0.39, 1.13) 0.73 (0.49, 0.98)
8–14 14 (8.8) 145 (91.2) 0.41 (0.21, 0.83) 0.50 (0.28, 0.88)
15+ 18 (12.9) 122 (87.1) 0.63 (0.33, 1.22) 0.59 (0.28, 1.26)
   8     
0–0.9 41 (23.7) 132 (76.3) 1 1
1–7 51 (14.6) 299 (85.4) 0.55 (0.35, 0.87) 0.61 (0.31, 0.85)
8–14 30 (17.0) 146 (83.0) 0.66 (0.39, 1.12) 0.60 (0.33, 1.08)
15+ 23 (17.7) 107 (82.3) 0.69 (0.39, 1.23) 0.49 (0.26, 0.96)
   9     
0–0.9 54 (24.9) 163 (75.1) 1 1
1–7 51 (13.9) 315 (86.1) 0.49 (0.32, 0.75) 0.53 (0.33, 0.85)
8–14 24 (15.1) 135 (84.9) 0.54 (0.32, 0.91) 0.58 (0.32, 1.04)
15+ 8 (7.6) 97 (92.4) 0.25 (0.11, 0.55) 0.24 (0.10, 0.58)
  1. n = number of participants within subgroup; % = Percentages across row.
  2. using "0–0.9 hr/wk" as the reference group.
  3. *odds ratio calculated via univariate logistic regression model.
  4. **odds ratios calculated via multivariate logistic regression model with adjustment for age, gender, school grade, BMI, TV time, study time, sleep time, smoking behavior, alcohol consumption, unintentional injuries, parents educational attainments, parents' job statuses, family structure.