Wang Zhenjie, Du Wei, Pang Lihua, Zhang Lei, Chen Gong, Zheng Xiaoying
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.
Int J Environ Res Public Health. 2015 Oct 19;12(10):13104-17. doi: 10.3390/ijerph121013104.
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.
在本文所述的研究中,我们调查并探讨了中国人群中财富不平等与精神残疾风险之间的关联。我们使用了2006年进行的第二次全国残疾人抽样调查中具有全国代表性的基于人群的数据。共有1,724,398名年龄在15至64岁之间的研究对象,其中仅患有精神残疾的对象有10,095名,用于分析。财富状况通过一个财富指数来估计,该指数源自对10项家庭资产和其他4个与财富相关变量的主成分分析。采用逻辑回归分析来估计每个类别的精神残疾的比值比(OR)和95%置信区间(CI),以最低五分位数类别作为参照。所考虑的混杂变量包括年龄、性别、居住地区、婚姻状况、种族、教育程度、当前就业状况、家庭规模、房屋类型、房屋所有权和居住安排。在当前人群中,不同类型和严重程度的精神残疾分布在财富指数类别上存在显著差异。财富指数类别与轻度精神残疾呈正相关(趋势p<0.01),但与极重度精神残疾呈负相关(趋势p<0.01)。此外,当考虑所有严重程度的精神残疾时,财富指数类别与精神残疾呈显著的负相关。本研究结果表明,财富是精神残疾分布的一个重要因素,并且它可能对不同类型和严重程度的精神残疾有不同的影响。