Self-Rated Health and Mortality: A Review of Twenty-Seven Community Studies

Institute for Health, Health Care Policy, and Aging Research, Rutgers, State University of New Jersey, New Brunswick 08903, USA.
Journal of Health and Social Behavior (Impact Factor: 2.72). 04/1997; 38(1):21-37. DOI: 10.2307/2955359
Source: PubMed

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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Available from: Yael Benyamini, Sep 28, 2015
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    • "In this research , the SOMS had high construct validity ; namely , the correlation coefficients between the SOMS and SOC were high , indicating a certain level of concur - rent validity . SOC as well as the sense of mastery had stress - moderating effects ( Idler and Benyamini 1997 ) . Moreover , SOMS - 5 and SOMS - 7 were associated with MHI - 5 , SRH , and life satisfaction as mental health out - comes . "
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    ABSTRACT: The aims of this research were to develop a Japanese version of Pearlin and Schooler's Sense of Mastery Scale (SOMS) and evaluate its reliability and validity. This survey targeted 4,000 men and women aged 25-74 living in Japan as of January 1, 2014, categorized them according to the region and size of the city in which they lived, randomly extracted 200 municipalities, and randomly extracted individuals after categorizing for sex and age based on the resident registries of each municipality. 2,067 survey responses were collected (response rate 51.7%). We used weighted 7-item (SOMS-7) and 5-item (SOMS-5) versions that excludes two reverse items (item6 and 7) from SOMS-7 of the SOMS. From the item analysis, the item-total correlation coefficients of the two reverse items (items 6 and 7) were .03 and .34. The Cronbach's alpha coefficient was also .69 in SOM-7 and .77 in SOMS-5. The partial correlation coefficients between SOMS and the sense of coherence, mental health inventory, self-rated health, and life satisfaction were all significant (p < 0.001). The SOMS showed high construct validity. SOMS-5 has sufficient reliability.
    SpringerPlus 12/2015; 4(1):399. DOI:10.1186/s40064-015-1186-1
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    • "We utilize multiple self-report indicators of physical health: self-rated health, chronic conditions, physical symptoms, and functional limitations. Self-rated health is a subjective global assessment of health status and in multiple studies and countries has been robustly linked to health outcomes, including mortality (Idler and Benyamini, 1997; Jylhä, 2009), independently of objective health measures. Furthermore, dynamic profiles of self-rated health have been linked with psychosocial factors. "
    08/2015; 2(2). DOI:10.1177/2055102915601582
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    • "The use of self-rated health (SRH) as a predictor of mortality is well-established [23]. Twenty-seven international and US-based community studies show impressively consistent findings for SRH as an independent predictor of mortality [24]. The purpose of this analysis is to investigate the impact of coal mining, measured as the number of coal miningrelated facilities nearby one's residence or employment in an occupation directly related to coal mining, on SRH in Appalachia. "
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    ABSTRACT: Objective . To determine the impact of coal mining, measured as the number of coal mining-related facilities nearby one’s residence or employment in an occupation directly related to coal mining, on self-rated health in Appalachia. Methods . Unadjusted and adjusted ordinal logistic regression models calculated odds ratio estimates and associated 95% confidence intervals for the probability of having an excellent self-rated health response versus another response. Covariates considered in the analyses included number of coal mining-related facilities nearby one’s residence and employment in an occupation directly related to coal mining, as well as potential confounders age, sex, BMI, smoking status, income, and education. Results . The number of coal mining facilities near the respondent’s residence was not a statistically significant predictor of self-rated health. Employment in a coal-related occupation was a statistically significant predictor of self-rated health univariably; however, after adjusting for potential confounders, it was no longer a significant predictor. Conclusions . Self-rated health does not seem to be associated with residential proximity to coal mining facilities or employment in the coal industry. Future research should consider additional measures for the impact of coal mining.
    Journal of Environmental and Public Health 08/2015; 2015(8):501837. DOI:10.1155/2015/501837
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