Copyright: ©Author(s) 2026.
World J Psychiatry. Sep 19, 2026; 16(9): 119308
Published online Sep 19, 2026. doi: 10.5498/wjp.119308
Published online Sep 19, 2026. doi: 10.5498/wjp.119308
Table 1 Sample characteristics, n (%)
| Characteristic | Depression (n = 188) | Health (n = 195) | P value |
| Age (years), mean (SD) | 17.09 (3.89) | 14.06 (0.76) | < 0.001 |
| Sex | < 0.001 | ||
| Male | 50 (26.9) | 113 (58.2) | |
| Female | 136 (73.1) | 81 (41.8) | |
| Education level | < 0.001 | ||
| Middle school year 1 | 0 (0.0) | 185 (95.4) | |
| Secondary school year 1 | 75 (40.3) | 9 (4.6) | |
| Secondary school year 2 | 111 (59.7) | 0 (0.0) |
- Citation: Li QZ, Wang LYK, Wang MH, Li JY, Chen XX, Fang W, Wang ZX, Chen PD, Bai QS, Sun P, Fan XW, Zhong R, Shi H. Gamified video-based affective computing framework for adolescent depression screening. World J Psychiatry 2026; 16(9): 119308
- URL: https://www.wjgnet.com/2220-3206/full/v16/i9/119308.htm
- DOI: https://dx.doi.org/10.5498/wjp.119308