title: Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey.
abstract: BACKGROUND
  In China and other middle-income countries, neuropsychiatric conditions are the most important cause of ill health in men and women, but efforts to scale up mental health services have been hampered by the absence of high-quality, country-specific data for the prevalence, treatment, and associated disability of different types of mental disorders. We therefore estimated these variables from a series of epidemiological studies that were done in four provinces in China.
  
  
  METHODS
  We used multistage stratified random sampling methods to identify 96 urban and 267 rural primary sampling sites in four provinces of China; the sampling frame of 113 million individuals aged 18 years or older included 12% of the adult population in China. 63 004 individuals, identified with simple random selection methods at the sampling sites, were screened with an expanded version of the General Health Questionnaire and 16,577 were administered a Chinese version of the Structured Clinical Interview for Diagnostic and Statistical Manual (DSM)-IV axis I disorders by a psychiatrist.
  
  
  RESULTS
  The adjusted 1-month prevalence of any mental disorder was 17.5% (95% CI 16.6-18.5). The prevalence of mood disorders was 6.1% (5.7-6.6), anxiety disorders was 5.6% (5.0-6.3), substance abuse disorders was 5.9% (5.3-6.5), and psychotic disorders was 1.0% (0.8-1.1). Mood disorders and anxiety disorders were more prevalent in women than in men, and in individuals 40 years and older than in those younger than 40 years. Alcohol use disorders were 48 times more prevalent in men than in women. Rural residents were more likely to have depressive disorders and alcohol dependence than were urban residents. Among individuals with a diagnosable mental illness, 24% were moderately or severely disabled by their illness, 8% had ever sought professional help, and 5% had ever seen a mental health professional.
  
  
  CONCLUSIONS
  Substantial differences between our results and prevalence, disability, and treatment rate estimates used in the analysis of global burden of disease for China draw attention to the need for low-income and middle-income countries to do detailed, country-specific situation analyses before they scale up mental health services.
  
  
  BACKGROUND
  China Medical Board of New York, WHO, and Shandong Provincial Bureau of Health.
authors.affiliation: WHO Collaborating Centre for Research and Training in Suicide Prevention, Beijing Hui Long Guan Hospital, Beijing, China. phillipschina@yahoo.com
authors.forename: Michael R
authors.initials: MR
authors.lastname: Phillips
authors.forename: Jingxuan
authors.initials: J
authors.lastname: Zhang
authors.forename: Qichang
authors.initials: Q
authors.lastname: Shi
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Song
authors.forename: Zhijie
authors.initials: Z
authors.lastname: Ding
authors.forename: Shutao
authors.initials: S
authors.lastname: Pang
authors.forename: Xianyun
authors.initials: X
authors.lastname: Li
authors.forename: Yali
authors.initials: Y
authors.lastname: Zhang
authors.forename: Zhiqing
authors.initials: Z
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D017281:Cost of Illness; D016021:Epidemiologic Studies; D005260:Female; D006301:Health Services Needs and Demand; D006306:Health Surveys; D006801:Humans; D007406:Interview, Psychological; D016015:Logistic Models; D008297:Male; D008403:Mass Screening; D001523:Mental Disorders / Q000175:diagnosis / Q000453:epidemiology* / Q000628:therapy*; D028642:Persons with Psychiatric Disorders / Q000706:statistics & numerical data*; D008875:Middle Aged; D011159:Population Surveillance; D015995:Prevalence; D012423:Rural Health / Q000706:statistics & numerical data; D012720:Severity of Illness Index; D017678:Sex Distribution; D011795:Surveys and Questionnaires; D014504:Urban Health / Q000706:statistics & numerical data; D055815:Young Adult