title: Lay beliefs regarding causes of mental illness in Nigeria: pattern and correlates.
abstract: BACKGROUND
  Although studies have shown that views about causation are strongly associated with stigmatising attitudes to mental illness, none have examined the correlates of such causal views in order to identify the population needed to be targeted for education.
  
  
  OBJECTIVE
  To evaluate the pattern and correlates of lay beliefs regarding the causes of mental illness in south-western Nigeria.
  
  
  METHODS
  A cross-sectional survey in which respondents (n = 2,078) were administered questionnaire detailing sociodemographic variables and perceived causation of mental illness.
  
  
  RESULTS
  Beliefs in supernatural factors and the misuse of psychoactive substances were the most prevalent. While urban dwelling, higher educational status and familiarity with mental illness correlated with belief in biological and psychosicial causation, older age, rural dwelling, and lack of familiarity correlated with a belief in supernatural causation. Educational status had no effect on the belief in supernatural causation.
  
  
  CONCLUSIONS
  Anti-stigma programmes need to incorporate these factors in order to identify the population at risk, who will actually benefit from targeted education regarding the causes of mental illness.
authors.affiliation: Department of Psychiatry, College of Medicine, Lagos State University, PMB 21266 Ikeja, Lagos, Nigeria. biodunwuya@yahoo.com
authors.forename: Abiodun O
authors.initials: AO
authors.lastname: Adewuya
authors.forename: Roger O A
authors.initials: RO
authors.lastname: Makanjuola
mesh_terms: D000293:Adolescent; D000328:Adult; D001294:Attitude to Health; D002391:Catchment Area, Health; D003430:Cross-Sectional Studies; D003469:Culture; D006801:Humans; D001523:Mental Disorders / Q000453:epidemiology / Q000523:psychology*; D009549:Nigeria / Q000453:epidemiology; D011361:Professional Competence; D012424:Rural Population / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires; D014505:Urban Population / Q000706:statistics & numerical data