16 February 2022 : Clinical Research
Prevalence Trends and Influencing Factors of Post-Stroke Depression: A Study Based on the National Health and Nutrition Examination Survey
Ying Lyu1AEF*, Wei Li1BCD, Tao Tang1BCDDOI: 10.12659/MSM.933367
Med Sci Monit 2022; 28:e933367
Table 3 Analysis of influencing factors of post-stroke depression based on sex.
| Characteristics | Male | Female | ||||
|---|---|---|---|---|---|---|
| β | OR (95% CI) | P | β | OR (95% CI) | P | |
| Gender | ||||||
| Male | Ref | Ref | ||||
| Female | −0.687 | 0.50 (0.31–0.81) | 0.004 | −1.062 | 0.35 (0.24–0.51) | <0.001 |
| Education | ||||||
| JMS or below | Ref | Ref | ||||
| JHS or GED | −0.173 | 0.84 (0.49–1.45) | 0.535 | −0.419 | 0.66 (0.40–1.08) | 0.099 |
| College or above | −0.432 | 0.65 (0.38–1.12) | 0.118 | −0.473 | 0.62 (0.40–0.98) | 0.040 |
| Annual household income | ||||||
| <20,000$ | Ref | Ref | ||||
| ≥20,000$ | −0.577 | 0.56 (0.36–0.89) | 0.013 | −0.492 | 0.61 (0.42–0.89) | 0.011 |
| Sleep disorders | ||||||
| No | Ref | Ref | ||||
| Yes | 1.636 | 5.13 (3.24–8.13) | <0.001 | 1.229 | 3.42 (2.30–5.08) | <0.001 |
| JMS – junior middle schools; JHS – senior high schools; OR – odd ratio | ||||||