Socioeconomic Status and Health Differentials in China: Convergence Or Divergence at Older Ages?
01 Jan 2009-
About: The article was published on 2009-01-01 and is currently open access. It has received 34 citations till now. The article focuses on the topics: Divergence.
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01 Jan 2004
TL;DR: Differences by education in treatment adherence among patients with two illnesses, diabetes and HIV, are examined, and the subsequent impact of differential adherence on health status is assessed.
Abstract: There are large differences in health outcomes by socioeconomic status (SES) that cannot be explained fully by traditional arguments, such as access to care or poor health behaviors. We consider a different explanation - better self-management of disease by the more educated. We examine differences by education in treatment adherence among patients with two illnesses, diabetes and HIV, and then assess the subsequent impact of differential adherence on health status. One unique component of this research is that for diabetes we combine two different surveys - one cohort study and one randomized clinical trial - that are usually used exclusively by either biomedical or/and social scientists separately. For both illnesses, we find significant effects of adherence that are much stronger among patients with high SES. After controlling for other factors, more educated HIV+ patients are more likely to adhere to therapy, and this adherence made them experience improvements in their self-reported general health. Similarly, among diabetics, the less educated were much more likely to switch treatment, which led to worsening general health. In the randomized trial setting, intensive treatment regimens that compensated for poor adherence led to better improvements in glycemic control for the less educated. Among two distinct chronic illnesses, the ability to maintain a better health regimen is an important independent determinant of subsequent health outcomes. This finding is robust across clinical trial and population-based settings. Because this ability varies by schooling, self-maintenance is an important reason for the steep SES gradient in health outcomes.
477 citations
01 Jan 2010
TL;DR: In this article, the authors provide a global assessment of the relationship between formal education and adult health, using sample data from 70 countries that participated in the World Health Survey and find that an increase in formal education is associated with lower levels of disability in both younger and older adults.
Abstract: Contemporary research primarily in the West offers a strong case for the relationship between formal education and adult health; more education, measured either by level completed or years of schooling, is associated, often in a stepwise fashion, with lower levels of mortality, morbidity and disability. In this study, we attempt to provide a global assessment of that relationship as it pertains to adult disability, using sample data from 70 countries that participated in the World Health Survey. In each of five regions and some of the largest countries outside the West we find that an increase in formal education is associated with lower levels of disability in both younger and older adults. Using the regional education-based differentials and several estimates of growth in education levels, we project levels of disability to 2050 to estimate the health and human capital benefits obtained from investments in education. We find that considering education in the population projection consistently shows lower prevalence of disability in the future, and that scenarios with better education attainment lead to lower prevalence. It is apparent that the educational dividend identified in our projection scenario should be an important policy goal, which, if anything, should be more speedily advanced in those countries and regions that have the greatest need.
64 citations
Cites background from "Socioeconomic Status and Health Dif..."
...…data from the 2005 Inter-Census Survey suggests adults with more education report higher levels of good health and that for both men and women and in both rural and urban areas, the disparity between the least educated and the rest of the population increases with age (Lowry and Xie 2009)....
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TL;DR: Primary education has a stronger effect on mortality for men than for women and the effect of education is stronger for the young old than for the oldest old, which underscores the importance of national and subpopulation contexts in understanding the relationship between education and mortality.
46 citations
Cites background from "Socioeconomic Status and Health Dif..."
...Second, in a collective society like China, health behaviors and health care decisions tend to be a family affair rather than a personal matter and as the result, individual education levels may play a smaller role in determining health behaviors and health care decisions (Lowry and Xie, 2009)....
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...…improves self-rated health, reduces mental distress, and reduces mortality among elderly Chinese (Beydoun and Popkin, 2005; Chen et al., 2010; Gu and Zeng, 2004; Liang et al., 2000; Lowry and Xie, 2009; Ross and Zhang, 2008; Zhu and Xie, 2007; Zimmer and Kwong, 2004; Zimmer et al., 2010)....
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...Lowry and Xie (2009) suggest that the SES and health linkage may be weaker in China for two reasons....
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...Other programs, such as the wide dissemination of health knowledge, the subsidized health care, and a government-sponsored medical insurance system, may have helped alleviate SES gradient in health (Lowry and Xie, 2009; World Bank, 1983)....
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...There is evidence that education, and SES in general, reduces physical impairment, delays the onset of physical disability, improves self-rated health, reduces mental distress, and reduces mortality among elderly Chinese (Beydoun and Popkin, 2005; Chen et al., 2010; Gu and Zeng, 2004; Liang et al., 2000; Lowry and Xie, 2009; Ross and Zhang, 2008; Zhu and Xie, 2007; Zimmer and Kwong, 2004; Zimmer et al., 2010)....
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TL;DR: The results show that older Chinese women, rural residents, those with an education level lower than high school, without individual income sources, who are ex-smokers, and those from poor economic status households are more likely to report disability and poor self-rated health.
39 citations
Cites background from "Socioeconomic Status and Health Dif..."
...Other research by Lowry and Xie (2009) has noted that although socioeconomic status is positively and strongly associated with health status for individuals at younger ages in China; such an association is weaker in the latter part of the life course....
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TL;DR: The authors performed a meta-analysis of 4866 estimates gleaned from 99 published studies that examine the health effects of education and found that the overall effect size is practically zero, indicating that education generates no discernible benefits to health.
Abstract: While numerous studies assess the relationship between education and health, no consensus has been reached on whether education really improves health. We perform a meta‐analysis of 4866 estimates gleaned from 99 published studies that examine the health effects of education. We find that the current literature suffers from moderate publication bias towards the positive effects of education on health. After correcting for publication bias with an array of sophisticated methods, we find that the overall effect size is practically zero, indicating that education generates no discernible benefits to health. The heterogeneity analysis by Bayesian Model Averaging (BMA) and Frequentist Model Averaging (FMA) reveals that the reported estimates can be largely explained by whether the econometric models control for endogeneity of education, the types of data and the differences in health measurements. Our results also suggest that education may not be an effective policy option for promoting population health.
34 citations
References
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TL;DR: In this paper, the authors examined the impact of SES on health and found that SES affects health more than other dimensions of a person's life, such as out-of-pocket medical expenses, labor supply, household income, and wealth.
Abstract: While a debate rages on about competing reasons why SES may affect health, there is little recognition that the so-called reverse causation from health to economic status may be pretty fundamental as well. Even if the direction of causation is that SES mainly affects health, what dimensions of SES actually matter—the financial aspects such as income or wealth or non-financial dimensions like education? Finally, is there a life course component to the health gradient so that we may be mislead in trying to answer these questions by only looking at people of a certain age—say those past 50. This paper, which is divided into four sections, provides my answers to these questions. The first section examines the issue of reverse causation or whether a new health event has a significant impact on four dimensions of SES—out-of-pocket medical expenses, labor supply, household income, and household wealth. The next section switches the perspective by asking whether the so-called direct causation from SES to health really matters all that much. If the answer is yes and it will be, a sub-theme in this section concerns which dimensions of SES—income, wealth, or education—matter for individual health. Since the answer to that question turns out to be education, Section 3 deals with the very much more difficult issue of why education matters so much. The evidence in these first three sections relies on data for people above age 50. In the final section of the paper, I test the robustness of my answers to these basic questions of the meaning of the SES-health gradient using data that span the entire life-course.
242 citations
TL;DR: Both collective efficacy and broken windows appeared to mediate the effect of concentrated disadvantage on all-cause premature mortality and mortality from cardiovascular disease and homicide, but there was also an interaction between broken windows and collective efficacy.
229 citations
TL;DR: It is confirmed that educational inequalities in health are a generalised though not invariant phenomenon and variations between countries, sexes and health indicators might be one explanation for the inconsistent results of other studies on age differences in the association between socioeconomic position and health.
221 citations
TL;DR: In this article, the authors test two hypotheses about the relationship between age and reported difficulty paying bills or buying things the family needs, such as food, clothing, medicine, and medical care.
Abstract: We test two hypotheses about the relationship between age and reported difficulty paying bills or buying things the family needs, such as food, clothing, medicine, and medical care. The affluence-trajectory hypothesis follows from age-group differences in income, income per capita, and official poverty, suggesting that economic hardship declines in successively older age groups up to late middle age but then rises. The adequacy-gradient hypothesis follows from research suggesting a progressively favorable balance of resources relative to needs in successively older age groups, suggesting that economic hardship declines progressively in successively older age groups. Two U.S. surveys (1990 and 1995) find a progressive decline in economic hardship in successively older age groups consistent with the adequacy-gradient hypothesis. Most age-group differences in economic hardship appear attributable to differences in the presence of children in the home, in resources such as homeownership and medical insurance, and in behaviors such as moderation and thrift
220 citations
TL;DR: The cumulative advantage hypothesis predicts that the adulthood rate of decline in health differs across levels of education in a manner that progressively enlarges the health gap across most or all of adulthood as discussed by the authors.
Abstract: The cumulative advantage hypothesis predicts that the adulthood rate of decline in health differs across levels of education in a manner that progressively enlarges the health gap across most or all of adulthood. The rising importance hypothesis predicts that the differences across levels of education in the rate of health’s decline have been growing for many decades. If both are correct, then each phenomenon tends to obscure the other when comparing the health gap across age groups in a particular year or period. The trend also can make it seem that health converges across levels of education in old age when it actually diverges. A latent-growth model of U.S. data from 1995, 1998, and 2001 supported both hypotheses. It also showed a trend toward lower age-specific self-rated health at all levels of education, but less so the higher the education. There was no significant convergence over time in older age groups.
213 citations