[Survey on mental disorders among registered residents and non-registered residents in Shenzhen]

Zhonghua Liu Xing Bing Xue Za Zhi. 2009 Jun;30(6):543-8.
[Article in Chinese]

Abstract

Objective: To study the prevalence and distribution of mental disorders among registered and non-registered residents in Shenzhen.

Methods: An epidemiological survey on mental disorders were carried out in Shenzhen by stratified multi-stage randomized sampling method; 7134 respondents were assessed through face-to-face interview, using the WHO standardized version on World Mental Health (WMH) Survey Initiative of the Composite International Diagnostic Interview (CIDI3.1).

Results: (1) The weighting prevalence of mental disorders was 21.87%. The prevalence of non-registered residents was significantly higher than that of the registered residents (22.34% vs. 19.99%; OR=1.15, 95%CI: 1.03-1.29; P<0.05) and the prevalence of females was significantly higher than that of males (22.68% vs. 19.67%; OR= 1.20, 95%CI: 1.07-1.34; P<0.05). The weighting prevalence of mood disorders, anxiety disorders and psychoses were 9.62%, 14.45% and 1.40%, respectively. (2) The weighting twelve-month incidence of mental disorders was 13.42%. The incidence of non-registered residents was significantly higher than that of the registered residents (13.80% vs. 11.90%; OR=1.19, 95%CI: 1.03-1.36; P<0.05). (3)The co-morbidity rate between mental disorders was 35.76%. (4)The prevalence and severity of mental disorders were associated with sex, household situation of registration, marital status, education, economic condition and occupation status.

Conclusion: Mental disorders have become common diseases and serious public health problem in Shenzhen, with non-registered residents and females deserve more attention.

Publication types

  • English Abstract

MeSH terms

  • China / epidemiology
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • Humans
  • Interviews as Topic
  • Male
  • Mental Disorders / epidemiology*
  • Odds Ratio
  • Prevalence
  • Psychiatric Status Rating Scales
  • Residence Characteristics
  • Risk Factors
  • Sex Factors
  • Socioeconomic Factors