Self-Rated Health and Mortality: A Review of Twenty-Seven Community Studies
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.
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Article: Self-Rated Health and Mortality: A Review of Twenty-Seven Community Studies
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- "Prior studies have also measured health as a binary comparing those who have excellent health to all others when a large number of mother's report that their children are in excellent health (71.5%) (Condliffe and Link 2008; Conley and Yeung 2005; Currie and Lin 2007; Currie and Stabile 2003). In adulthood, self-reported health is a reliable indicator of morbidity and mortality (Benyamini and Idler 1997; McGee et al. 1999), and I find that maternal reports of excellent health are strongly related to serious health conditions. The odds of a child having a serious chronic condition or physical limitation, e.g., asthma, heart problems, blood disorders, and epilepsy, are 5 times higher when a mother reports that her child has less than excellent health (p<.001). "
ABSTRACT: Prior research has established a link between SES and early life health without providing clear theoretical or empirical evidence for using any particular conceptualization or operationalization of SES. Researchers refer to almost any combination of variables related to families’ economic, educational, or occupational circumstances as SES. This abundance of operationalizations makes it difficult to determine how exactly SES shapes early life health. Childhood and adolescence are unique periods of life delineated by extensive social, psychological, and physical transitions. Although these changes may make children and adolescents sensitive to different aspects of SES, research has yet to systematically compare an array of SES measures extensive enough to rigorously examine this possibility. To address this gap, I merge the National Longitudinal Survey of Youth 1979 (NLSY79) and the NLSY79 Children and Young Adults datasets. In analyses, I consider multiple operationalizations of SES derived from the distinct components conceptualization of SES. I find that the best model of SES and early life health includes family income, wealth, education, and occupational prestige. Family income and wealth play especially important roles in early life health but also impact child and adolescent health differently. Children’s health is more vulnerable to their families’ wealth, while adolescents’ health is more sensitive to their families’ current income. Together, the countervailing effects of family income and wealth negate one another such that the overall effect of economic conditions on health is the same for children and adolescents. My findings provide evidence that future research should carefully consider multiple measures of SES when studying the relationship between SES and early life health.Social Indicators Research 08/2015; 123(1):39-58. DOI:10.1007/s11205-014-0733-4 · 1.40 Impact Factor
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- "Subjective measures of health are valid indicators of objective health (Idler & Benyamini, 1997; Miilunpalo et al., 1997). However , the consideration of additional objective health markers in "
ABSTRACT: Prior research demonstrated influences of personality traits and their development on later status of subjective health and loneliness. In the present study, we intended to extend these findings by examining mutual influences between health-related characteristics and personality traits and their development over time. German adults were assessed at two time points across 15 years (NT1 = 654, NT2 = 271; mean age at Time 1: 24.39, SD = 3.29). Data were analyzed with multivariate structural equation models and a multivariate latent change model. Neuroticism was found to predict later levels and the development of subjective health and loneliness. While subjective health likewise predicted later levels of Neuroticism, loneliness was found to be predictive of later levels as well as the development of Neuroticism, Extraversion, and Conscientiousness. Correlated changes indicated that developing a socially more desirable personality is associated with slower declines in subjective health and slower increases in loneliness. The findings indicate that characteristics related to an individual's health are reciprocally associated with personality traits. Thus, the study adds to the understanding of the development of personality and health-related characteristics. This article is protected by copyright. All rights reserved. © 2015 Wiley Periodicals, Inc.Journal of Personality 06/2015; DOI:10.1111/jopy.12188 · 2.44 Impact Factor
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- "It is recognized as a valid indicator for fitness (Hertzman et al., 2001) and for morbidity (Power et al., 1991). Furthermore, it has been consistently shown to predict mortality, meaning that mortality rates increase monotonically with successively poorer self-rating of health (Idler and Benyamini, 1997; Wannamethee and Shaper, 1991). Table I provides summary statistics for some key variables. "
ABSTRACT: This paper provides new empirical evidence on the health consequences of rural-to-urban migration in China. We use a panel dataset from 2003 to 2006 constructed by the Research Center on the Rural Economy at the Ministry of Agriculture in China to investigate the effects of short-term and medium-term migration on health status. By combining propensity-score matching and the difference-in-difference model, we attempt to overcome the migration endogeneity issue and estimate the average treatment effect on the treated. We find that the effect of short-term migration on health in China is significantly positive mostly because of the income effect. However, the effect of longer-term continuous migration on health is insignificant and close to zero. Our results are robust to several alternative estimation techniques and a series of robustness checks. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.Health Economics 06/2015; DOI:10.1002/hec.3212 · 2.14 Impact Factor