Zimmer Zachary
University of Utah, Salt Lake City, UT, USA.
Soc Sci Med. 2008 Jan;66(1):57-71. doi: 10.1016/j.socscimed.2007.08.032. Epub 2007 Oct 29.
Little research exists on health determinants among adults living in economically deprived regions despite the fact that these areas comprise a good part of the world. This paper examines the distribution of wealth then tests associations between wealth inequality and a variety of health outcomes, among older adults, in one of the world's poorest regions--rural Cambodia. Data from the 2004 Survey of the Elderly in Cambodia are employed. Using a disablement framework to conceptualize health, associations between four health components and a wealth inequality measure are tested. The wealth inequality measure is based on an index that operationalizes wealth as ownership of household assets and household structural components. Results confirm difficult economic conditions in rural Cambodia. The lowest wealth quintile lives in households that own nothing, while the next quintiles are only slightly better off. Nevertheless, logistic regressions that adjust for other covariates indicate heterogeneity in health across quintiles that appear qualitatively similar, with the bottom quintiles reporting the most health problems. An exception is disability, which presents a U-shaped association. It is difficult to determine mechanisms behind the relationship using cross-sectional data, but the paper speculates on possible causal directions, both from wealth to health and vice-versa. The analysis suggests the ability to generalize the relationship between wealth inequality and health to extremely poor populations as a very small difference in wealth makes a relatively large difference with respect to health associations among those in meager surroundings.
尽管经济贫困地区的成年人占世界人口的很大一部分,但针对这些地区成年人健康决定因素的研究却很少。本文考察了财富分布情况,然后在世界上最贫困的地区之一——柬埔寨农村,对老年人中财富不平等与各种健康结果之间的关联进行了检验。研究采用了2004年柬埔寨老年人调查的数据。运用残疾框架来界定健康,检验了四种健康成分与一种财富不平等衡量指标之间的关联。该财富不平等衡量指标基于一个指数,该指数将财富界定为家庭资产所有权和家庭结构组成部分。结果证实了柬埔寨农村地区艰难的经济状况。最贫困的五分之一人口生活在一无所有的家庭中,而接下来的五分之一人口的情况也只是稍好一点。然而,在对其他协变量进行调整后的逻辑回归显示,各五分之一人口之间在健康方面存在异质性,这种异质性在性质上似乎相似,最贫困的五分之一人口报告的健康问题最多。残疾情况是个例外,呈现出U型关联。利用横断面数据很难确定这种关系背后的机制,但本文推测了可能的因果方向,包括从财富到健康以及从健康到财富。分析表明,将财富不平等与健康之间的关系推广到极端贫困人口中是可行的,因为在贫困环境中,财富上的微小差异在健康关联方面会产生相对较大的差异。