Table 4.

Logistic regression analysis for the combined effect of gender and age on PTSS and depressive symptoms.

	Model 4-PTSS		Model 5-Depression
Variables	OR (95% CI)	Cohen's d	OR (95% CI)	Cohen's d
Gender*age [Female (18–25)]
Female (26–30)	1.505 (0.904, 2.505)	0.225	0.971 (0.630, 1.495)	−0.016
Female (31–40)	1.403 (0.835, 2.359)	0.187	1.004 (0.645, 1.563)	0.002
Female (41-50)	0.863 (0.450, 1.655)	−0.081	0.861 (0.506, 1.466)	−0.083
Female (≥51)	1.118 (0.521, 2.401)	0.061	0.448* (0.220, 0.911)	−0.443
Male (18–25)	2.647*** (1.711, 4.097)	0.537	1.766** (1.219, 2.560)	0.314
Male (26–30)	2.846*** (1.725, 4.695)	0.577	2.024** (1.317, 3.111)	0.389
Male (31–40)	1.962** (1.181, 3.259)	0.372	1.620* (1.050, 2.500)	0.266
Male (41–50)	1.880* (1.050, 3.364)	0.348	1.101 (0.658, 1.843)	0.053
Male (≥51)	1.323 (0.644, 2. 717)	0.154	0.777 (0.411, 1.467)	−0.139

The combine effect of gender and age was not significant in logistic regression analysis for insomnia, thus the results are not presented in this table; all confounding variables were controlled in the above models. The values of coefficients and 95% confidence interval in bold represent statistically significant at 0.05 level.

^*p < 0.05,

^**p < 0.01,

^***p < 0.001.