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      Trends in Health Equity in the United States by Race/Ethnicity, Sex, and Income, 1993-2017

      research-article
      , PhD 1 , , , BA 1
      JAMA Network Open
      American Medical Association

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          Key Points

          Question

          Has health equity improved or worsened during the past 25 years in the United States among working-aged adults?

          Findings

          Using data from more than 5.4 million respondents to the Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System, this study found that from 1993 to 2017, the black-white gap showed significant improvement. However, measures of health equity and health justice declined over time, and income disparities worsened.

          Meaning

          Meaningful progress on health equity in the United States will require greater effort, new approaches, or both.

          Abstract

          This survey study uses data from over 5.4 million US working-aged adults to assess trends in health equity and health justice by sex, race/ethnicity, and income across the past 25 years.

          Abstract

          Importance

          Health equity is an often-cited goal of public health, included among the 4 overarching goals of the Department of Health and Human Services’ Healthy People 2020. Yet it is difficult to find summary assessments of national progress toward this goal.

          Objectives

          To identify variation in several measures of health equity from 1993 to 2017 in the United States and to test whether there are significant time trends.

          Design, Setting, and Participants

          Survey study using 25 years of data, from January 1, 1993, to December 31, 2017, from the Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System to assess trends in health equity and health justice by race/ethnicity, sex, and income in 3 categories by year.

          Main Outcomes and Measures

          Health equity was assessed separately for each of 2 health constructs: healthy days—the average of physical and mental healthy days over the previous 30 days—and general health in 5 categories, rescaled to approximate a continuous variable. For each health construct, average health was calculated along with 4 measures of health equity: disparities across 3 income groups; black-white disparities; health justice—a measure of the correlation of health outcomes with income, race/ethnicity and sex; and a summary health equity metric.

          Results

          Among the 5 456 006 respondents, the mean (SD) age was 44.5 (12.7) years; 3 178 688 (58.3%) were female; 4 163 945 (76.3%) were non-Latinx white; 474 855 (8.7%) were non-Latinx black; 419 542 (7.7%) were Latinx; and 397 664 (7.3%) were of other race/ethnicity. The final sample included 5 456 006 respondents for self-reported health and 5 349 527 respondents for healthy days. During the 25-year period, the black-white gap showed significant improvement (year coefficient: healthy days, 0.021; 97.5% CI, 0.012 to 0.029; P < .001; self-reported health, 0.030; 97.5% CI, 0.025 to 0.035; P < .001). The health equity metric for self-reported health showed no significant trend. For healthy days, the Health Equity Metric declined over time (year coefficient: healthy days, −0.025; 97.5% CI, −0.033 to −0.017; P < .001). Health justice declined over time (year coefficient: healthy days, −0.045; 97.5% CI, −0.053 to −0.038; P < .001; self-reported health, −0.035; 97.5% CI, −0.046 to−0.023; P < .001), and income disparities worsened (year coefficient: healthy days, −0.060; 97.5% CI, −0.076 to −0.044; P < .001; self-reported health, −0.029; 97.5% CI, −0.046 to −0.012; P < .001).

          Conclusions and Relevance

          Results of this analysis suggest that there has been a clear lack of progress on health equity during the past 25 years in the United States. Achieving widely shared goals of improving health equity will require greater effort from public health policy makers, along with their partners in medicine and the sectors that contribute to the social determinants of health.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: found
          • Article: not found

          Socioeconomic disparities in health in the United States: what the patterns tell us.

          We aimed to describe socioeconomic disparities in the United States across multiple health indicators and socioeconomic groups. Using recent national data on 5 child (infant mortality, health status, activity limitation, healthy eating, sedentary adolescents) and 6 adult (life expectancy, health status, activity limitation, heart disease, diabetes, obesity) health indicators, we examined indicator rates across multiple income or education categories, overall and within racial/ethnic groups. Those with the lowest income and who were least educated were consistently least healthy, but for most indicators, even groups with intermediate income and education levels were less healthy than the wealthiest and most educated. Gradient patterns were seen often among non-Hispanic Blacks and Whites but less consistently among Hispanics. Health in the United States is often, though not invariably, patterned strongly along both socioeconomic and racial/ethnic lines, suggesting links between hierarchies of social advantage and health. Worse health among the most socially disadvantaged argues for policies prioritizing those groups, but pervasive gradient patterns also indicate a need to address a wider socioeconomic spectrum-which may help garner political support. Routine health reporting should examine socioeconomic and racial/ethnic disparity patterns, jointly and separately.
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            • Record: found
            • Abstract: not found
            • Article: not found

            Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality

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              • Record: found
              • Abstract: found
              • Article: not found

              Self rated health: Is it as good a predictor of subsequent mortality among adults in lower as well as in higher social classes?

              To analyse the predictive power of self rated health for mortality in different socioeconomic groups. Analysis of mortality rates and risk ratios of death during follow up among 170 223 respondents aged 16 years and above in the Swedish Survey of Living Conditions 1975-1997, in relation to self rated health stated at the interview, by age, sex, socioeconomic group, chronic illness and over time. There was a strong relation between poor self rated health and mortality, greater at younger ages, similar among men and women and among persons with and without a chronic illness. The relative relation between self rated health and subsequent death was stronger in higher than in lower socioeconomic groups, possibly because of the lower base mortality of these groups. However, the absolute mortality risk differences between persons reporting poor and good self rated health were similar across socioeconomic groups within each sex. The mortality risk difference between persons reporting poor and good self rated health was considerably higher among persons with a chronic illness than among persons without a chronic illness. The mortality risk among persons reporting poor health was increased for shorter (<2 years) as well as longer (10+ years) periods of follow up. The results suggest that poor self rated health is a strong predictor of subsequent mortality in all subgroups studied, and that self rated health therefore may be a useful outcome measure.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                28 June 2019
                June 2019
                28 June 2019
                : 2
                : 6
                : e196386
                Affiliations
                [1 ]Jonathan and Karin Fielding School of Public Health, Department of Health Policy & Management, University of California, Los Angeles
                Author notes
                Article Information
                Accepted for Publication: May 12, 2019.
                Published: June 28, 2019. doi:10.1001/jamanetworkopen.2019.6386
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Zimmerman FJ et al. JAMA Network Open.
                Corresponding Author: Frederick J. Zimmerman, PhD, Jonathan and Karin Fielding School of Public Health, Department of Health Policy & Management, University of California, Los Angeles, PO Box 951772, Los Angeles, CA 90095-1772 ( fredzimmerman@ 123456ucla.edu ).
                Author Contributions: Dr Zimmerman had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Zimmerman.
                Acquisition, analysis, or interpretation of data: Both authors.
                Drafting of the manuscript: Zimmerman.
                Critical revision of the manuscript for important intellectual content: Both authors.
                Statistical analysis: Both authors.
                Obtained funding: Zimmerman.
                Administrative, technical, or material support: Zimmerman.
                Supervision: Zimmerman.
                Conflict of Interest Disclosures: Dr Zimmerman reports receiving grants from the Robert Wood Johnson Foundation during the conduct of the study. No other disclosures were reported.
                Funding/Support: This project was funded in part by a grant from the Robert Wood Johnson Foundation. Mr Anderson’s participation in this research was supported by the National Institutes of Health/National Center for Advancing Translational Science UCLA Clinical and Translational Science Institute grant TL1TR001883.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                zoi190252
                10.1001/jamanetworkopen.2019.6386
                6604079
                31251377
                02a18bf0-60cd-47bd-acda-8b6427a9162c
                Copyright 2019 Zimmerman FJ et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 26 February 2019
                : 12 May 2019
                Categories
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                Original Investigation
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