Table 3.
Weighted univariate and multivariable logistic regression analysis between employment and depression, gender stratification (NHANES 2005–2018).
| Gender | Employment status | Depression status | |
|---|---|---|---|
| Model I | Model II | ||
| OR (95% CI), P | OR (95% CI), P | ||
| Overall | Non-employed | Reference | Reference |
| Part time | 0.53(0.44, 0.63), 0.000 | 0.53(0.44, 0.64), 0.000 | |
| Full time | 0.35(0.31, 0.40), 0.000 | 0.42(0.36, 0.48), 0.000 | |
| Female | Non-employed | Reference | Reference |
| Part time | 0.51(0.41, 0.63), 0.000 | 0.51(0.40, 0.64), 0.000 | |
| Full time | 0.44(0.38, 0.52), 0.000 | 0.46(0.38, 0.55), 0.000 | |
| Male | Non-employed | Reference | Reference |
| Part time | 0.57(0.42, 0.78), 0.000 | 0.57(0.42, 0.79), 0.001 | |
| Full time | 0.32(0.26, 0.39), 0.000 | 0.36(0.28, 0.46), 0.000 | |
Model I: adjusted for non. Model II: adjusted for age, gender, race, marital status, education level, PIR, BMI, diabetes, hypertension, smoke status and alcohol status. For the models in which the analysis was stratified by gender, gender was not included as a covariate. p< 0.05 presents significant difference. BMI, body mass index; PIR, poverty-to-income ratio; CI, confidence interval; OR, odds ratio.