Socioeconomic Status and Health Differentials in China: Convergence Or Divergence at Older Ages?
01 Jan 2009-
...read more
Content maybe subject to copyright Report
Citations
More filters
Posted Content•
[...]
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.
462 citations
[...]
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.
56 citations
Cites background from "Socioeconomic Status and Health Dif..."
[...]
[...]
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.
Abstract: This study examines the relationship between education and mortality, its underlying mechanisms, and its gender and age variations among older adults in China, using data from the 2002 to 2011 waves of the Chinese Longitudinal Healthy Longevity Survey. There is an inverse relationship between education and mortality risk. The relationship is explained in full by each of the three mechanisms: other socioeconomic attainments, social relationships and activities, and health status, and partially by physical exercise. In addition, 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. These findings underscore the importance of national and subpopulation contexts in understanding the relationship between education and mortality.
36 citations
Cites background from "Socioeconomic Status and Health Dif..."
[...]
[...]
[...]
[...]
[...]
[...]
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.
Abstract: This paper uses multi-level modelling to analyse data from the nationally-representative Chinese Health and Retirement Longitudinal Study (CHARLS) in order to investigate the characteristics associated with poor health among older people, including individual and household characteristics as well as the characteristics of the provinces in which the older person lives (contextual effects). 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. Differentials in the health outcomes remain substantial between provinces even after controlling for a number of individual and household characteristics.
30 citations
Cites background from "Socioeconomic Status and Health Dif..."
[...]
[...]
TL;DR: There is an asynchronous pattern in the onset of puberty among Chinese boys, with urban boys achieving pubertal milestones at an earlier age than rural peers except for G5.
Abstract: Aim: To provide up-to-date pubertal characteristics in a representative population of boys from both urban and rural areas of China. Subjects and methods: The China Puberty Research Collaboration enrolled 15 011 boys of Chinese Han ethnicity aged 6.0–18.9 years in eight regions including both urban and rural areas. Stages of genital and pubic hair development were assessed by trained physicians according to the Tanner method. Testicular volume was evaluated with a Prader orchidometer. Results: Median age for onset of testicular volume of 4 mL or greater was 11.02 years. Median age for onset of genital (G2), pubic hair development (PH2) and spermarche was 11.24 years, 12.67 years and 14.32 years, respectively. Boys with BMI ≥ 85th percentile reached the onset of TV ≥ 4 ml (11.09 years), G2 (11.34 years) and G3 (13.01 years) later than boys with a normal BMI (10.95 years, 11.1 years and 12.88 years, respectively). Urban boys achieved pubertal milestones at an earlier age than rural peers except for G5 (13.4...
22 citations
References
More filters
[...]
TL;DR: This work examines the growing number of studies of survey respondents' global self-ratings of health as predictors of mortality in longitudinal studies of representative community samples and suggests several approaches to the next stage of research in this field.
Abstract: We examine the growing number of studies of survey respondents' global self-ratings of health as predictors of mortality in longitudinal studies of representative community samples. Twenty-seven studies in U.S. and international journals show impressively consistent findings. Global self-rated health is an independent predictor of mortality in nearly all of the studies, despite the inclusion of numerous specific health status indicators and other relevant covariates known to predict mortality. We summarize and review these studies, consider various interpretations which could account for the association, and suggest several approaches to the next stage of research in this field.
7,482 citations
[...]
TL;DR: The psychosocial conditions and mechanisms underlying the Matthew effect are examined and a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science is found—a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance.
Abstract: This account of the Matthew effect is another small exercise in the psychosociological analysis of the workings of science as a social institution. The initial problem is transformed by a shift in theoretical perspective. As originally identified, the Matthew effect was construed in terms of enhancement of the position of already eminent scientists who are given disproportionate credit in cases of collaboration or of independent multiple discoveries. Its significance was thus confined to its implications for the reward system of science. By shifting the angle of vision, we note other possible kinds of consequences, this time for the communication system of science. The Matthew effect may serve to heighten the visibility of contributions to science by scientists of acknowledged standing and to reduce the visibility of contributions by authors who are less well known. We examine the psychosocial conditions and mechanisms underlying this effect and find a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science—a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance. This self-assurance, which is partly inherent, partly the result of experiences and associations in creative scientific environments, and partly a result of later social validation of their position, encourages them to search out risky but important problems and to highlight the results of their inquiry. A macrosocial version of the Matthew principle is apparently involved in those processes of social selection that currently lead to the concentration of scientific resources and talent ( 50 ).
5,259 citations
[...]
TL;DR: It is argued that social factors such as socioeconomic status and social support are likely 'fundamental causes" of disease that affect multiple disease outcomes through multiple mechanisms, and consequently maintain an association with disease even when intervening mechanisms change.
Abstract: Over the last several decades, epidemiological studies have been enormously
successful in identifying risk factors for major diseases However, most of this
research has focused attention on risk factors that are relatively proximal causes of
disease such as diet, cholesterol level, exercise and the like We question the
emphasis on such individually-based risk factors and argue that greater attention
must be paid to basic social conditions if health reform is to have its maximum
effect in the time ahead There are two reasons for this claim First we argue that
individually-based risk factors must be contextualized, by examining what puts
people at risk of risks, if we are to craft effective interventions and improve the
nation's health Second, we argue that social factors such as socioeconomic status
and social support are likely 'fundamental causes" of disease that, because they
embody access to important resources, affect multiple disease outcomes throughmultiple mechanisms, and consequently maintain an association with disease even when intervening mechanisms change Without careful attention to these
possibilities, we run the risk of imposing individually-based intervention strategies
that are ineffective and of missing opportunities to adopt broad-based societal
interventions that could produce substantial health benefits for our citizens
3,483 citations
Book•
[...]
01 Dec 1998
TL;DR: This publication examines this social gradient in health, and explains how psychological and social influences affect physical health and longevity, and looks at what is known about the most important social determinants of health today.
Abstract: Poorer people live shorter lives and are more often ill than the rich. This disparity has drawn attention to the remarkable sensitivity of health to the social environment. This publication examines this social gradient in health, and explains how psychological and social influences affect physical health and longevity. It then looks at what is known about the most important social determinants of health today, and the role that public policy can play in shaping a social environment that is more conducive to better health. This second edition relies on the most up-to-date sources in its selection and description of the main social determinants of health in our society today. Key research sources are given for each: stress, early life, social exclusion, working conditions, unemployment, social support, addiction, healthy food and transport policy. Policy and action for health need to address the social determinants of health, attacking the causes of ill health before they can lead to problems. This is a challenging task for both decision-makers and public health actors and advocates. This publication provides the facts and the policy options that will enable them to act.
2,499 citations
[...]
TL;DR: It is concluded that high educational attainment improves health directly and it improves health indirectly through work and economic conditions, social-psychological resources, and health lifestyle.
Abstract: University of Illinois, Urbana The positive association between education and health is well established, but explanations for this association are not. Our explanations fall into three categories: (1) work and economic conditions, (2) social-psychological resources, and (3) health lifestyle. We replicate analyses with two samples, cross-sectionally and over time, using two health measures (self-reported health and physical functioning). The first data set comes from a national probability sample of U.S. households in which respondents were interviewed by telephone in 1990 (2,031 respondents, ages 18 to 90). The second data set comes from a national probability sample of U.S. households in which respondents ages 20 to 64 were interviewed by telephone first in 1979 (3,025 respondents), and then again in 1980 (2,436 respondents). Results demonstrate a positive association between education and health and help explain why the association exists. (1) Compared to the poorly educated, well educated respondents are less likely to be unemployed, are more likely to work full-time, to have fulfilling, subjectively rewarding jobs, high incomes, and low economic hardship. Full-time work, fulfilling work, high income, and low economic hardship in turn significantly improve health in all analyses. (2) The well educated report a greater sense of control over their lives and their health, and they have higher levels of social support. The sense of control, and to a lesser extent support, are associated with good health. (3) The well educated are less likely to smoke, are more likely to exercise, to get health check-ups, and to drink moderately, all of which, except check-ups, are associated with good health. We conclude that high educational attainment improves health directly, and it improves health indirectly through work and economic conditions, social-psychological resources, and health lifestyle. he positive association between education and health is well established, but explanations for this association are not. Well educated people experience better health than the poorly educated, as indicated by high levels of self-reported health and physical functioning and low levels of morbidity, mortality, and disability. In contrast, low educational attainment is associated with high rates of infectious disease, many chronic noninfectious diseases, self-reported poor health, shorter survival when sick, and shorter life expectancy (Feldman, Makuc, Kleinman, and Cornoni-Huntley 1989; Guralnik, Land, Fillenbaum, and Branch 1993; Gutzwiller, LaVecchia, Levi, Negri, and Wietlisbach 1989; Kaplan, Haan, and Syme 1987; Kitagawa and Hauser 1973; Liu, Cedres, and Stamler 1982; Morris 1990; Pappas, Queen,
1,619 citations
Related Papers (5)
[...]