Regional variation in the predictive validity of self-rated health for mortality

Self-rated health (SRH) is a commonly used measure for assessing general health in surveys in the United States. However, individuals from different parts of the United States may vary in how they assess their health. Geographic differences in health care access and in the prevalence of illnesses ma...

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Main Authors: Edward R. Berchick, Scott M. Lynch
Format: Article
Language:English
Published: Elsevier 2017-12-01
Series:SSM: Population Health
Online Access:http://www.sciencedirect.com/science/article/pii/S235282731630091X
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spelling doaj-7dddd5d1315c4866963abdb7044989b42020-11-24T23:05:06ZengElsevierSSM: Population Health2352-82732017-12-013C27528210.1016/j.ssmph.2017.01.010Regional variation in the predictive validity of self-rated health for mortalityEdward R. Berchick0Scott M. Lynch1Duke University Population Research Institute, Duke University, Box 90989, Durham, NC 27708, USADuke University Population Research Institute, Duke University, Box 90989, Durham, NC 27708, USASelf-rated health (SRH) is a commonly used measure for assessing general health in surveys in the United States. However, individuals from different parts of the United States may vary in how they assess their health. Geographic differences in health care access and in the prevalence of illnesses may make it difficult to discern true regional differences in health when using SRH as a health measure. In this article, we use data from the 1986 and 1989–2006 National Health Interview Survey Linked Mortality Files and estimate Cox regression models to examine whether the relationship between SRH and five-year all-cause mortality differs by Census region. Contrary to hypotheses, there is no evidence of regional variation in the predictive validity of SRH for mortality. At all levels of SRH, and for both non-Hispanic white and non-Hispanic black respondents, SRH is equally and strongly associated with five-year mortality across regions. Our results suggest that differences in SRH across regions are not solely due to differences in how respondents assess their health across regions, but reflect true differences in health. Future research can, therefore, employ this common measure to investigate the geographic patterning of health in the United States.http://www.sciencedirect.com/science/article/pii/S235282731630091X
collection DOAJ
language English
format Article
sources DOAJ
author Edward R. Berchick
Scott M. Lynch
spellingShingle Edward R. Berchick
Scott M. Lynch
Regional variation in the predictive validity of self-rated health for mortality
SSM: Population Health
author_facet Edward R. Berchick
Scott M. Lynch
author_sort Edward R. Berchick
title Regional variation in the predictive validity of self-rated health for mortality
title_short Regional variation in the predictive validity of self-rated health for mortality
title_full Regional variation in the predictive validity of self-rated health for mortality
title_fullStr Regional variation in the predictive validity of self-rated health for mortality
title_full_unstemmed Regional variation in the predictive validity of self-rated health for mortality
title_sort regional variation in the predictive validity of self-rated health for mortality
publisher Elsevier
series SSM: Population Health
issn 2352-8273
publishDate 2017-12-01
description Self-rated health (SRH) is a commonly used measure for assessing general health in surveys in the United States. However, individuals from different parts of the United States may vary in how they assess their health. Geographic differences in health care access and in the prevalence of illnesses may make it difficult to discern true regional differences in health when using SRH as a health measure. In this article, we use data from the 1986 and 1989–2006 National Health Interview Survey Linked Mortality Files and estimate Cox regression models to examine whether the relationship between SRH and five-year all-cause mortality differs by Census region. Contrary to hypotheses, there is no evidence of regional variation in the predictive validity of SRH for mortality. At all levels of SRH, and for both non-Hispanic white and non-Hispanic black respondents, SRH is equally and strongly associated with five-year mortality across regions. Our results suggest that differences in SRH across regions are not solely due to differences in how respondents assess their health across regions, but reflect true differences in health. Future research can, therefore, employ this common measure to investigate the geographic patterning of health in the United States.
url http://www.sciencedirect.com/science/article/pii/S235282731630091X
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