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Wealth Inequality and Mental Disability Among the Chinese Population: A Population Based Study

Author

Listed:
  • Zhenjie Wang

    (Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China
    These authors contributed equally to this work.)

  • Wei Du

    (Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China
    These authors contributed equally to this work.)

  • Lihua Pang

    (Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China)

  • Lei Zhang

    (Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China)

  • Gong Chen

    (Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China)

  • Xiaoying Zheng

    (Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China
    Laboratory of Neuroscience and Mental Health, Peking University, Beijing 100871, China)

Abstract

In the study described herein, we investigated and explored the association between wealth inequality and the risk of mental disability in the Chinese population. We used nationally represented, population-based data from the second China National Sample Survey on Disability, conducted in 2006. A total of 1,724,398 study subjects between the ages of 15 and 64, including 10,095 subjects with mental disability only, were used for the analysis. Wealth status was estimated by a wealth index that was derived from a principal component analysis of 10 household assets and four other variables related to wealth. Logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence interval (CI) for mental disability for each category, with the lowest quintile category as the referent. Confounding variables under consideration were age, gender, residence area, marital status, ethnicity, education, current employment status, household size, house type, homeownership and living arrangement. The distribution of various types and severities of mental disability differed significantly by wealth index category in the present population. Wealth index category had a positive association with mild mental disability ( p for trend <0.01), but had a negative association with extremely severe mental disability ( p for trend <0.01). Moreover, wealth index category had a significant, inverse association with mental disability when all severities of mental disability were taken into consideration. This study’s results suggest that wealth is a significant factor in the distribution of mental disability and it might have different influences on various types and severities of mental disability.

Suggested Citation

  • Zhenjie Wang & Wei Du & Lihua Pang & Lei Zhang & Gong Chen & Xiaoying Zheng, 2015. "Wealth Inequality and Mental Disability Among the Chinese Population: A Population Based Study," IJERPH, MDPI, vol. 12(10), pages 1-14, October.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:10:p:13104-13117:d:57377
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    References listed on IDEAS

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    3. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
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