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      Relationship of neighborhood and individual socioeconomic status on mortality among older adults: Evidence from cross-level interaction analyses

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      PLoS ONE
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          Abstract

          Background

          The influence of community context and individual socioeconomic status on health is widely recognized. However, the dynamics of how the relationship of neighborhood context on health varies by individual socioeconomic status is less well understood.

          Objective

          To examine the relationship between neighborhood context and mortality among older adults and examine how the influence of neighborhood context on mortality differs by individual socioeconomic status, using two measures of income-level and homeownership.

          Research design and subjects

          A retrospective study of 362,609 Medicare Advantage respondents to the 2014–2015 Medicare Health Outcomes Survey aged 65 and older.

          Measures

          Neighborhood context was defined using the deciles of the Area Deprivation Index. Logistic regression was used to analyze mortality with interaction terms between income/homeownership and neighborhood deciles to examine cross-level relationships, controlling for age, gender, race/ethnicity, number of chronic conditions, obese/underweight, difficulties in activities of daily living, smoking status, and survey year. Predicted mortality rates by group were calculated from the logistic model results.

          Results

          Low-income individuals (8.9%) and nonhomeowners (9.1%) had higher mortality rates compared to higher-income individuals (5.3%) and homeowners (5.3%), respectively, and the differences were significant across all neighborhoods even after adjustment. With regression adjustment, older adults residing in less disadvantaged neighborhoods showed lower predicted 2-year mortality among high-income (4.86% in the least disadvantaged neighborhood; 6.06% in the most disadvantaged neighborhood; difference p-value<0.001) or homeowning individuals (4.73% in the least disadvantaged neighborhood; 6.25% in the most disadvantaged neighborhood; difference p-value<0.001). However, this study did not observe a significant difference in predicted mortality rates among low-income individuals by neighborhood (8.7% in the least disadvantaged neighborhood; 8.61% in the most disadvantaged neighborhood; difference p-value = 0.825).

          Conclusions

          Low-income or non-homeowning older adults had a higher risk of mortality regardless of neighborhood socioeconomic status. While living in a less disadvantaged neighborhood provided a protective association for higher-income or homeowning older adults, low-income older adults did not experience an observable benefit.

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          Most cited references48

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          Neighborhoods and health.

          Features of neighborhoods or residential environments may affect health and contribute to social and race/ethnic inequalities in health. The study of neighborhood health effects has grown exponentially over the past 15 years. This chapter summarizes key work in this area with a particular focus on chronic disease outcomes (specifically obesity and related risk factors) and mental health (specifically depression and depressive symptoms). Empirical work is classified into two main eras: studies that use census proxies and studies that directly measure neighborhood attributes using a variety of approaches. Key conceptual and methodological challenges in studying neighborhood health effects are reviewed. Existing gaps in knowledge and promising new directions in the field are highlighted.
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            • Record: found
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            • Article: not found

            Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

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

              The Association Between Income and Life Expectancy in the United States, 2001-2014.

              The relationship between income and life expectancy is well established but remains poorly understood.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 May 2022
                2022
                : 17
                : 5
                : e0267542
                Affiliations
                [001] Department of Health Policy and Management, University of Maryland School of Public Health, College Park, Maryland, United States of America
                Ruhr University Bochum, GERMANY
                Author notes

                Competing Interests: The author reports no competing interests.

                Author information
                https://orcid.org/0000-0001-8665-1821
                Article
                PONE-D-21-33272
                10.1371/journal.pone.0267542
                9119539
                35588127
                e36e0365-b22f-427d-bbc6-d04fab883934
                © 2022 Taehyun Kim

                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
                : 17 October 2021
                : 12 April 2022
                Page count
                Figures: 2, Tables: 3, Pages: 17
                Funding
                The author received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Social Sciences
                Political Science
                Public Policy
                Medicare
                People and Places
                Population Groupings
                Age Groups
                Adults
                Elderly
                Earth Sciences
                Geography
                Human Geography
                Social Geography
                Neighborhoods
                Social Sciences
                Human Geography
                Social Geography
                Neighborhoods
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Custom metadata
                Data are owned by the Centers for Medicare & Medicaid Services (CMS). Data are available from the CMS upon request of the limited data sets. Data requests can be sent to [ datauseagreement@ 123456cms.hhs.gov ]. All interested researchers will be able to access the data in the same manner that the author did.

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                Uncategorized

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