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[A multilevel analysis on the association between socioeconomic status and psychiatric disorders]
Ya-ming Gu1, Fang-zhong Xu, Ting-zhong Yang
1Department of Social Medicine, Zhejiang University, Hangzhou 310058, China.
Objective:
To explore the association between psychiatric disorders and socioeconomic status such as education, income, employment and area of community settings in Zhejiang province.
Methods:
Data were from the epidemiological survey of mental illnesses aged 15 and older in 2001 (n = 14 632). Psychiatric disorders were measured by GHQ-12 with a cut-point 4. Logistic multilevel analysis was the main statistical method being used.
Results:
The overall prevalence of psychiatric disorders was 18.5%(95% confidence intervals, 17.9% to 19.1%), higher than the data from Hebei province (u = 4.39, P < 0.001). Annual household income and employment were strongly associated with psychiatric disorders especially for those with low income (odds ratio 3.45, 95%CI: 1.72 - 6.67) and unemployment (odds ratio 2.03, 95%CI: 1.73 - 2.40). Factors as regional effect and education level showed weak or inconsistent association with psychiatric disorders after controlling on other indicators.
Conclusion:
Inverse gradient relation between psychiatric disorders and SES seemed as the main result of low SES individual characteristics and some minor effects at the county level.
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