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      Relationship of Self-Rated Health to Stroke Incidence and Mortality in Older Individuals with and without a History of Stroke: A Longitudinal Study of the MRC Cognitive Function and Ageing (CFAS) Population

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          Abstract

          Introduction

          Poor self-rated health (SRH) has been associated with increased risk of death and poor health outcomes even after adjusting for confounders. However its’ relationship with disease-specific mortality and morbidity has been less studied. SRH may also be particularly predictive of health outcomes in those with pre-existing conditions. We studied whether SRH predicts new stroke in older people who have never had a stroke, or a recurrence in those with a prior history of stroke.

          Methods

          MRC CFAS I is a multicentre cohort study of a population representative sample of people in their 65th year and older. A comprehensive interview at baseline included questions about presence of stroke, self-rated health and functional disability. Follow-up at 2 years included self-report of stroke and stroke death obtained from death certificates. Multiple logistical regression determined odds of stroke at 2 years adjusting for confounders including disability and health behaviours. Survival analysis was performed until June 2014 with follow-up for up to 13 years.

          Results

          11,957 participants were included, of whom 11,181 (93.8%) had no history of stroke and 776 (6.2%) one or more previous strokes. Fewer with no history of stroke reported poor SRH than those with stroke (5 versus 21%). In those with no history of stroke, poor self-rated health predicted stroke incidence (OR 1.5 (1.1–1.9)), but not stroke mortality (OR 1.2 (0.8–1.9)) at 2 years nor for up to 13 years (OR 1.2(0.9–1.7)). In those with a history of stroke, self-rated health did not predict stroke incidence (OR 0.9(0.6–1.4)), stroke mortality (OR 1.1(0.5–2.5)), or survival (OR 1.1(0.6–2.1)).

          Conclusions

          Poor self-rated health predicts risk of stroke at 2 years but not stroke mortality among the older population without a previous history of stroke. SRH may be helpful in predicting who may be at risk of developing a stroke in the near future.

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          Most cited references13

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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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            What does self rated health measure? Results from the British Whitehall II and French Gazel cohort studies.

            To investigate the determinants of self rated health (SRH) in men and women in the British Whitehall II study and the French Gazel cohort study. The cross sectional analyses reported in this paper use data from wave 1 of the Whitehall II study (1985-88) and wave 2 of the Gazel study (1990). Determinants were either self reported or obtained through medical screening and employer's records. The Whitehall II study is based on 20 civil service departments located in London. The Gazel study is based on employees of France's national gas and electricity company (EDF-GDF). SRH data were available on 6889 men and 3403 women in Whitehall II and 13 008 men and 4688 women in Gazel. Correlation analysis was used to identify determinants of SRH from 35 measures in Whitehall II and 33 in Gazel. Stepwise multiple regressions identified five determinants (symptom score, sickness absence, longstanding illness, minor psychiatric morbidity, number of recurring health problems) in Whitehall II, explaining 34.7% of the variance in SRH. In Gazel, four measures (physical tiredness, number of health problems in the past year, physical mobility, number of prescription drugs used) explained 41.4% of the variance in SRH. Measures of mental and physical health status contribute most to the SRH construct. The part played by age, early life factors, family history, sociodemographic variables, psychosocial factors, and health behaviours in these two occupational cohorts is modest.
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              What determines Self-Rated Health (SRH)? A cross-sectional study of SF-36 health domains in the EPIC-Norfolk cohort.

              Self-Rated Health (SRH) as assessed by a single-item measure is an independent predictor of health outcomes. However, it remains uncertain which elements of the subjective health experience it most strongly captures. In view of its ability to predict outcomes, elucidation of what determines SRH is potentially important in the provision of services. This study aimed to determine the extent to which dimensions of physical, mental and social functioning are associated with SRH. We studied 20,853 men and women aged 39-79 years from a population-based cohort study (European Prospective Investigation of Cancer study) who had completed an SRH (Short Form (SF)-1) measure and SF-36 questionnaire. SF-36 subscales were used to quantify dimensions of health best predicting poor or fair SRH within a logistic regression model. In multivariate models adjusting for age, gender, social class, medical conditions and depression, all subscales of the SF-36 were independently associated with SRH, with the Physical Functioning subscale more strongly associated with poor or fair compared with excellent, very good or good health (OR 3.7 (95% CI 3.3 to 4.1)) than Mental Health (OR 1.4 (95% CI 1.2 to 1.5)) or Social Functioning subscales (OR 1.8 (95% CI 1.6 to 2.0)) for those below and above the median. This study confirms that physical functioning is more strongly associated with SRH than mental health and social functioning, even where the relative associations between each dimension and SRH may be expected to differ, such as in those with depression. It suggests that the way people take account of physical, mental and social dimensions of function when rating their health may be relatively stable across groups.
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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, CA USA )
                1932-6203
                29 February 2016
                2016
                : 11
                : 2
                : e0150178
                Affiliations
                [1 ]Primary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom, CB1 8RN
                [2 ]Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, University Forvie Site, Robinson Way, Cambridge, United Kingdom, CB2 0SR
                [3 ]Health Services Research Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
                [4 ]School of Health Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom, NR4 7TJ
                University of Glasgow, UNITED KINGDOM
                Author notes

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

                Conceived and designed the experiments: NM JM CB ALK. Performed the experiments: CB. Analyzed the data: NM RVL RP GS. Wrote the paper: NM RVL RP GS ALK CB JM.

                Article
                PONE-D-15-46656
                10.1371/journal.pone.0150178
                4771829
                26928666
                f7041e9a-294f-4622-94e6-8c7a881147a5
                © 2016 Mavaddat et al

                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
                : 25 October 2015
                : 10 February 2016
                Page count
                Figures: 1, Tables: 5, Pages: 11
                Funding
                The MRC CFAS I Study has had funding by major awards from the Medical Research Council (MRC/G9901400) and Department of Health. NM was funded by a National Institute for Health Research (NIHR) Walport Clinical Lectureship in Primary Care Research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Medicine and Health Sciences
                Public and Occupational Health
                Disabilities
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Medicine and Health Sciences
                Cardiovascular Medicine
                Cardiovascular Diseases
                People and Places
                Demography
                People and Places
                Demography
                Death Rates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Health Care
                Health Risk Analysis
                Medicine and Health Sciences
                Health Care
                Health Services Research
                Custom metadata
                Data taken at the time of data collection predate data archives and open access agreements, and participant consent has not been taken for data to be made widely available online (MRC-CFAS, University of Cambridge). Data are, however, available directly from the MRC-CFAS study whose authors may be contacted at CFAS Institute of Public Health Forvie Site University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus Cambridge CB2 0SR01223 330312 National coordinator: Linda Barnes leb22@ 123456medschl.cam.ac.uk .

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