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Illiteracy and schizophrenia in China: a population-based survey

Abstract

Purpose  

Illiterate people may frequently experience social discrimination and exclusion in our modern society. It has been suggested
that social adversity increases risk of schizophrenia. The current study examines the relation between illiteracy and schizophrenia.

Methods  

We utilized data on 1,909,205 representative Chinese people of age 18 years or older collected by the Second China National
Sample Survey on Disability in 2006 (participation rate 99.8 %). Experienced clinical psychiatrists diagnosed schizophrenia
among those who were psychiatrically disabled with the ICD-10 symptom checklist.

Results  

Strikingly high prevalence of schizophrenia was observed among the young illiterates aged 18–29 years (prevalence 1.64 %,
95 % confidence interval (CI) 1.35, 1.93) and 30–39 years (prevalence 1.51 %, 95 % CI 1.34, 1.68), much higher than the prevalence
estimates for general Chinese population of similar age reported by any of the previous studies in mainland China. Among people
aged less than 40 years, we found that the illiterates were 2.08 times more likely to develop schizophrenia than the literates
with no school or primary school education (odds ratio (OR) = 2.08, 95 % CI 1.84, 2.36). The association remained statistically
significant after adjustment for age, gender, marital status, household income, and location of residence. Consistently, a
strong association between illiteracy and schizophrenia (OR = 2.8, 95 % CI 1.28, 6.11) was found in conditional logistic regression
analysis among matched sibling sets aged less than 40 years that further adjusted for genetic confounding.

Conclusion  

The risk of schizophrenia may have increased among the socially disadvantaged illiterate people.

  • Content Type Journal Article
  • Category Original Paper
  • Pages 1-10
  • DOI 10.1007/s00127-012-0552-3
  • Authors
    • Tianli Liu, Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871 People’s Republic of China
    • Xinming Song, Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871 People’s Republic of China
    • Gong Chen, Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871 People’s Republic of China
    • Stephen L. Buka, Department of Epidemiology, Brown University, Providence, RI, USA
    • Lei Zhang, Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871 People’s Republic of China
    • Lihua Pang, Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871 People’s Republic of China
    • Xiaoying Zheng, Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871 People’s Republic of China
    • Journal Social Psychiatry and Psychiatric Epidemiology
    • Online ISSN 1433-9285
    • Print ISSN 0933-7954
Posted in: Journal Article Abstracts on 07/21/2012 | Link to this post on IFP |
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