A Cross-National Examination of the Determinants of Self-Assessed Health

Zimmer, Zachary; Natividad, Josefina N.; Lin, Hui-Sheng; Chayovan, Napaporn

doi:10.2307/2676298

Cited by 109 publications

(102 citation statements)

References 11 publications

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“…Self-rated health is quite stable with age, and improved during the study period. This fact is in agreement with economic improvements in Spain, since socio-economic factors are strong determinants of self-reported health status (21)(22)(23)(24) and with results for the US population (25). A recent study has shown improvements in self-rated health for men and women between 25-69 years of age in 10 countries in Europe.…”

Section: © 2 0 0 6 E D I T R I C E K U R T I S N O T P R I N T a B L Esupporting

confidence: 69%

Decreasing prevalence of disability in activities of daily living, functional limitations and poor self-rated health: a 6-year follow-up study in Spain

et al. 2006

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Section: © 2 0 0 6 E D I T R I C E K U R T I S N O T P R I N T a B L Esupporting

confidence: 69%

Decreasing prevalence of disability in activities of daily living, functional limitations and poor self-rated health: a 6-year follow-up study in Spain

et al. 2006

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“…Respondents are asked to rate their health based on the question, "In general, compared to other people of your age, would you say that your health is excellent, very good, good, fair, or poor?" Previous studies demonstrate that similar subjective health measures are strongly associated with morbidity, mortality, and other more-objective health indicators across a wide variety of settings (Idler and Angel 1990;Idler and Benyami 1997;Jytha et al 1998;Zimmer et al 2000). More-objective indicators of health status, however, typically require health exams or assessment by medical professionals, which uninsured individuals are much less likely to obtain.…”

Section: Health Statusmentioning

confidence: 99%

Unhealthy and uninsured: Exploring racial differences in health and health insurance coverage using a life table approach

2010

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Millions of people in the United 2002a;Osteen et al. 1994;Roetzheim et al. 1999). Being uninsured also poses serious fi nancial threats to Americans, with millions carrying a large burden of debt from medical expenses ( Himmelstein et al. 2005). Although public programs-such as Medicaid and the State Children's Health Insurance Program (SCHIP)-provide health insurance to many who would otherwise not be able to afford coverage, millions are without health insurance.In this article, we argue that current research offers a limited description of health insurance coverage in the United States, especially with respect to racial disparities. More specifi cally, the literature to date does not give a sense of the duration of exposure to being uninsured over a typical lifetime, nor does it address the joint risk of being uninsured and being unhealthy. Yet, having an estimate of the duration of time that individuals typically live with these risks is essential in assessing the magnitude of the insurance-related challenges facing the United States. Moreover, having durational measures of the joint risk of being uninsured and in different health states is particularly important when examining disparities between whites and blacks because blacks are not only more likely to be uninsured but also more likely to experience adverse health events. In this study, we use a life table approach to examine racial differences in health insurance coverage in the United States by calculating health-and insurance-specifi c life expectancies for whites and blacks. These measures capture the duration of exposure to different insurance and health states during a typical lifetime. In the absence of individual data on lifetime insurance coverage, life table analysis is a valuable tool that enables us to simulate life course experiences with health insurance coverage and health. By creating measures with a focus on the lifetime exposure to the joint risks of being uninsured and less healthy, we hope not only to provide a better understanding of issues related to health insurance coverage in the United States but also to elucidate racial disparities in the current U.S. health care system. Specifi cally, we address three important questions. First, how does the proportion of time spent in different health and insurance states over the course of one year differ by age and race? Second, given current age-specifi c mortality, subjective health, and health insurance rates in the United States, how many years can individuals expect to live with different types of insurance coverage and in different health states over a typical lifetime? Third, how large are the differences between blacks and whites in the expected number of years lived in different health-specifi c insurance states? BACKGROUND

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“…Multiple studies have demonstrated that SRH is a good predictor of mortality and functional ability even after some variables controlled for (Appels et al 1996;Idler and Benyamini 1997). Very few SRH studies have been undertaken in developing countries (Zimmer et al 2000), and none between two tiger economies. In many settings the 'fair health' category in all likelihood is comprised of a substantial proportion of people in good health.…”

Section: Introductionmentioning

confidence: 99%

Self-Reported Health Status of Older Adults in Malaysia and Singapore: Evidence from the 2007 Global Ageing Survey

Khan

Flynn

2015

Applied Research Quality Life

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The aim of this study is to investigate the correlates of self-reported health (SRH) among older adults in Malaysia and Singapore. The study uses data collected in the Global Ageing Study (GLAS) 2007, one of the largest surveys of its kind, specially designed to investigate attitudes towards later life, ageing and retirement. Data were collected from 1002 and 1004 respondents from Malaysia and Singapore respectively. The study found that Singaporeans report a healthier life than Malaysians. The two countries have consistent results with regard to the influences of selected covariates on individual health. Poorer health is more prevalent among people with lower education, among those widowed, divorced or separated, and those working in blue-collar occupations. Although social support is found to be an important determinant of SRH, the effects are partially confounded with other covariates. These findings enhance our knowledge about the health status of older people, and in turn will be useful for governments to ensure effective policy making.

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A Cross-National Examination of the Determinants of Self-Assessed Health

Cited by 109 publications

References 11 publications

Decreasing prevalence of disability in activities of daily living, functional limitations and poor self-rated health: a 6-year follow-up study in Spain

Decreasing prevalence of disability in activities of daily living, functional limitations and poor self-rated health: a 6-year follow-up study in Spain

Unhealthy and uninsured: Exploring racial differences in health and health insurance coverage using a life table approach

Self-Reported Health Status of Older Adults in Malaysia and Singapore: Evidence from the 2007 Global Ageing Survey

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