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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    ABSTRACT: This study aimed to identify predictors of residential mobility in 55 Canadians, to characterise neighbourhood changes following mobility, to assess whether such changes differ according to income, and to evaluate for cross-sectional estimations of place-health relationships the extent of bias associated with residential mobility. Using longitudinal data from the Canadian National Population Health Study (NPHS), residential mobility was operationalised by a change in postal code between two consecutive waves. Individuals’ sociodemographic factors and neighbourhood characteristics were analysed in relation to mobility. Bias in cross-sectional estimations of place-health associations was assessed analysing neighbourhood-level deprivation and housing quality in relation to self-assessed health. Multiple age-related events were predictive of moving. Three out of 10 individuals moved at least once. Two thirds of movers experienced a change in neighbourhood type and such changes were not associated with income. No systematic biases in estimating place effects on health using cross-sectional data were observed. Given that individual-level socioeconomic status (SES) was neither a predictor of moving nor of its consequences in terms of neighbourhood type, controlling for SES could potentially lead to biased estimations of place-health associations. Results suggest that cross-sectional data can yield valid estimations of place-health associations among older adults.
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    ABSTRACT: Self-rated health reflects a person's integrated perception of health, including its biological, psychological, and social dimensions. It is a predictor of morbidity and mortality. To assess the current status of self-rated health and associated factors in the Kingdom of Saudi Arabia, we analyzed data from the Saudi Health Interview Survey. We conducted a large national survey of adults aged 15 years or older. A total of 10,735 participants completed a standardized health questionnaire. Respondents rated their health with a five-point scale. Data on socio-demographic characteristics, chronic diseases, health-related habits and behaviors, and anthropometric measurements were collected. Associated factors of self-rated health were analyzed using a backward elimination multivariate logistic regression model. More than 77 % of respondents rated their health as excellent/very good. Female sex [odds ratio (OR) 1.52, 95 % confidence interval (CI) 1.24-1.88], decades of age (OR 1.35, 95 % CI 1.25-1.46), diagnosed diabetes mellitus (OR 1.54, 95 % CI 1.22-1.93), diagnosed hypercholesterolemia (OR 1.37, 95 % CI 1.06-1.79), diagnosed hypertension (OR 1.55, 95 % CI 1.22-1.96), number of other diagnosed chronic diseases (OR 1.69, 95 % CI 1.41-2.03), limited vigorous activity (OR 3.59, 95 % CI 2.84-4.53), need for special equipment (OR 2.62, 95 % CI 1.96-3.51), and more than 3 h of daily television/computer screen time (OR 1.59, 95 % CI1.11-2.29) were positively associated with poor/fair health. Smoking, obesity, and physical inactivity were not associated with self-reported health. We found that preventable risk factors are not associated with Saudis' self-rated health. This optimistic perception of health poses a challenge for preventive interventions in the Kingdom and calls for campaigns to educate the public about the harm of unhealthy behaviors.
    Journal of Community Health 03/2015; DOI:10.1007/s10900-015-0014-4 · 1.28 Impact Factor

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