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

Wang Z, Du W, Pang L, Zhang L, Chen G, Zheng X - Int J Environ Res Public Health (2015)

Bottom Line: We used nationally represented, population-based data from the second China National Sample Survey on Disability, conducted in 2006.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.Confounding variables under consideration were age, gender, residence area, marital status, ethnicity, education, current employment status, household size, house type, homeownership and living arrangement.

View Article: PubMed Central - PubMed

Affiliation: Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China. zhenjie.wang@pku.edu.cn.

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.

No MeSH data available.


Related in: MedlinePlus

Quartile prevalence of mental disability in China (per 100 persons).
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Related In: Results  -  Collection

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ijerph-12-13104-f002: Quartile prevalence of mental disability in China (per 100 persons).

Mentions: Wealth and mental disability are unequally distributed in China (Figure 1 and Figure 2). Selected characteristics of the study population are summarized in Table 2 and Table 3.


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

Wang Z, Du W, Pang L, Zhang L, Chen G, Zheng X - Int J Environ Res Public Health (2015)

Quartile prevalence of mental disability in China (per 100 persons).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4627019&req=5

ijerph-12-13104-f002: Quartile prevalence of mental disability in China (per 100 persons).
Mentions: Wealth and mental disability are unequally distributed in China (Figure 1 and Figure 2). Selected characteristics of the study population are summarized in Table 2 and Table 3.

Bottom Line: We used nationally represented, population-based data from the second China National Sample Survey on Disability, conducted in 2006.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.Confounding variables under consideration were age, gender, residence area, marital status, ethnicity, education, current employment status, household size, house type, homeownership and living arrangement.

View Article: PubMed Central - PubMed

Affiliation: Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, Beijing 100871, China. zhenjie.wang@pku.edu.cn.

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.

No MeSH data available.


Related in: MedlinePlus