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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 Lyu AEF* , Wei Li BCD , Tao Tang BCD

DOI: 10.12659/MSM.933367

Med Sci Monit 2022; 28:e933367

Table 3 Analysis of influencing factors of post-stroke depression based on sex.

CharacteristicsMaleFemale
βOR (95% CI)PβOR (95% CI)P
Gender
 MaleRefRef
 Female−0.6870.50 (0.31–0.81)0.004−1.0620.35 (0.24–0.51)
Education
 JMS or belowRefRef
 JHS or GED−0.1730.84 (0.49–1.45)0.535−0.4190.66 (0.40–1.08)0.099
 College or above−0.4320.65 (0.38–1.12)0.118−0.4730.62 (0.40–0.98)0.040
Annual household income
RefRef
 ≥20,000$−0.5770.56 (0.36–0.89)0.013−0.4920.61 (0.42–0.89)0.011
Sleep disorders
 NoRefRef
 Yes1.6365.13 (3.24–8.13)1.2293.42 (2.30–5.08)
JMS – junior middle schools; JHS – senior high schools; OR – odd ratio

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750