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      Relationship of Self-Rated Health with Fatal and Non-Fatal Outcomes in Cardiovascular Disease: A Systematic Review and Meta-Analysis

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          Abstract

          Background

          People who rate their health as poor experience higher all-cause mortality. Study of disease-specific association with self-rated health might increase understanding of why this association exists.

          Objectives

          To estimate the strength of association between self-rated health and fatal and non-fatal cardiovascular disease.

          Methods

          A comprehensive search of PubMed MEDLINE, EMBASE, CINAHL, BIOSIS, PsycINFO, DARE, Cochrane Library, and Web of Science was undertaken during June 2013. Two reviewers independently searched databases and selected studies. Inclusion criteria were prospective cohort studies or cohort analyses of randomised trials with baseline measurement of self-rated health with fatal or non-fatal cardiovascular outcomes. 20 studies were pooled quantitatively in different meta-analyses. Study quality was assessed using Newcastle-Ottawa scales.

          Results

          ‘Poor’ relative to ‘excellent’ self-rated health (defined by most extreme categories in each study, most often’ poor’ or ‘very poor’ and ‘excellent’ or ‘good’) was associated over a follow-up of 2.3–23 years with cardiovascular mortality in studies: where varying degrees of adjustments had been made for cardiovascular disease risk (HR 1.79 (95% CI 1.50 to 2.14); 15 studies, I2 = 71.24%), and in studies reporting outcomes in people with pre-existing cardiovascular disease or ischaemic heart disease symptoms (HR 2.42 (95% CI 1.32 to 4.44); 3 studies; I2 = 71.83%). ‘Poor’ relative to ‘excellent’ self rated health was also associated with the combined outcome of fatal and non-fatal cardiovascular events (HR 1.90 (95% CI 1.26 to 2.87); 5 studies; I 2 = 68.61%), Self-rated health was not significantly associated with non-fatal cardiovascular disease outcomes (HR 1.66 (95% CI 0.96 to 2.87); 5 studies; I2 = 83.60%).

          Conclusions

          Poor self rated health is associated with cardiovascular mortality in populations with and without prior cardiovascular disease. Those with current poor self-rated health may warrant additional input from health services to identify and address reasons for their low subjective health.

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          Most cited references25

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          Self-rated health and mortality: a review of twenty-seven community studies.

          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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            Perceived health status and morbidity and mortality: evidence from the Kuopio ischaemic heart disease risk factor study.

            Previous studies have reported an increased risk of death in those who report their health is poor, however, the role of underlying and subclinical disease in this association has not been carefully studied. The associations between perceived health status and mortality from all causes and cardiovascular disease, incidence of myocardial infarction, carotid atherosclerosis, forced expiratory volume, and maximal exercise capacity were studied in the Kuopio Ischaemic Heart Disease Risk Factor Study, a population-based study of 2682 men, aged 42-60, in eastern Finland. There were strong, statistically significant, age-adjusted associations between level of perceived health and mortality from all causes (RH(bad versus good) = 3.67), cardiovascular causes (RH(bad versus good) = 6.64), and incidence of myocardial infarction (RH(bad versus good) = 3.87). Perceived health levels were strongly associated with risk factors and disease indicators. The associations with mortality and myocardial infarction outcomes were considerably weakened with progressive adjustment for eight risk factors and prevalent disease. Higher levels of perceived health were associated with less carotid atherosclerosis, and greater forced expiratory volume and maximal exercise capacity. Associations between level of perceived health and these indicators were considerably stronger in those with prevalent diseases than in those who were healthy. The overall pattern of results suggests that perceived health levels mainly reflect underlying disease burden.
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              Self-rated health showed a graded association with frequently used biomarkers in a large population sample.

              Self-rated health is a widely used measure of health status, but its biologic foundations are poorly understood. We investigated the association of frequently used biomarkers with self-rated health, and the role of these biomarkers in the association of self-rated health with mortality. The relation of self-rated health to blood levels of albumin, white blood cell count, hemoglobin, HDL cholesterol, and creatinine was examined in a population-based sample of 4,065 men and women aged 71 years or older. A Cox proportional hazards model was used to determine the association of self-rated health with mortality during 4.9 years. Sociodemographic factors, diagnosed chronic conditions, and activities of daily living disability were controlled for in these analyses. All the biomarkers showed a graded relationship with self-rated health. After adjusting for other indicators, hemoglobin and white cell count were significantly associated with fair or poor self-rated health. When biomarkers and other indicators were adjusted for, self-rated health still was a significant predictor of mortality. Self-rated health has a biologic basis, and it can be a sensitive barometer of physiologic states. Self-rated health is likely to predict mortality because it covers the spectrum of health conditions better than the variables measured in the study.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                30 July 2014
                : 9
                : 7
                : e103509
                Affiliations
                [1 ]Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Cambridge, United Kingdom
                [2 ]Primary Care Unit, Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
                Innsbruck Medical University, Austria
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: NM RP SS ALK JM. Performed the experiments: NM SS RP. Analyzed the data: NM SS RP. Contributed reagents/materials/analysis tools: RP. Contributed to the writing of the manuscript: NM RP SS ALK JM.

                Article
                PONE-D-14-14713
                10.1371/journal.pone.0103509
                4116199
                25076041
                77f5bf58-b18c-499c-8fb9-cd485c3bf746
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 April 2014
                : 30 June 2014
                Page count
                Pages: 13
                Funding
                This report presents independent commissioned research by the National Institute for Health Research (NIHR) through the National School for Primary Care Research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. NM was funded through an NIHR Walport Clinical Lectureship.
                Categories
                Research Article
                Medicine and Health Sciences
                Cardiology
                Cardiovascular Diseases
                Cardiovascular Disease Risk
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

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