Evidence map›Paper›PMID 26256736›Full record

ArticleSocial science & medicine (1982)2015

Are older adults living in more equal counties healthier than older adults living in more unequal counties? A propensity score matching approach.

HwaJung Choi, Sarah Burgard, Irma T Elo, Michele Heisler

Abstract readComparative Study
In one paragraph

Article in Social science & medicine (1982), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Association of Internet Use with Attitudes Toward Food Safety in China: A Cross-Sectional Study.International journal of environmental research and public health · 2019
    Article
  6. Article
  7. Association Between Purpose in Life and Glucose Control Among Older Adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018
    Article
  8. Income inequality and depression: a systematic review and meta-analysis of the association and a scoping review of mechanisms.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2018
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

HwaJung ChoiDepartment of Internal Medicine, School of Medicine, University of Michigan, United States. Electronic address: hwajungc@umich.edu.
Sarah BurgardDepartment of Sociology, University of Michigan, United States; Epidemiology, School of Public Health, University of Michigan, United States; Population Studies Center, University of Michigan, United States.
Irma T EloDepartment of Sociology, University of Pennsylvania, United States; Population Studies Center, University of Pennsylvania, United States.
Michele HeislerDepartment of Internal Medicine, School of Medicine, University of Michigan, United States; Ann Arbor Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States; Health Behavior and Health Education, School of Public Health, University of Michigan, United States.

Funding

STATISTICAL DATA ENCLAVE COREP30AG012836 · NIA · UNIVERSITY OF PENNSYLVANIA · PI COE, NORMA B, KOHLER, HANS-PETER · 1999 to 2024
$14.0M
Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIA NIH HHS P30 AG012836NICHD NIH HHS R24 HD041028NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

We assessed the potential contextual effect of income inequality on health by: 1) comparing individuals with similar socioeconomic status (SES) but who reside in counties with different levels of income inequality; and 2) examining whether the potential effect of county-level income inequality on health varies across SES groups. We used the Health and Retirement Study, a nationally representative study of Americans over the age of 50. Using propensity score matching, we selected SES-comparable individuals living in high-income inequality counties and in low-income inequality counties. We examined differences in self-rated overall health outcomes and in other specific physical/mental health outcomes between the two groups using logistic regression (n = 34,994) and imposing different sample restrictions based on residential duration in the area. We then used logistic regression with interactions to assess whether, and if so how, health outcomes differed among participants of different SES groups defined by wealth, income, and education. In bivariate analyses of the unmatched full sample, adults living in high-income inequality counties have worse health outcomes for most health measures. After propensity score matching, adults in high-income inequality counties had worse self-rated health status (AOR = 1.12; 95% CI 1.04-1.19) and were more likely to report diagnosed psychiatric problems (AOR = 1.08; 95% CI 0.99-1.19) than their matched counterparts in low-income inequality counties. These associations were stronger with longer-term residents in the area. Adverse health outcomes associated with living in high-income inequality counties were significant particularly for individuals in the 30(th) or greater percentiles of income/wealth distribution and those without a college education. In summary, after using more precise matching methods to compare individuals with similar characteristics and addressing measurement error by excluding more recently arrived county residents, adults living in high-income inequality counties had worse reported overall physical and mental health than adults living in low-income inequality counties.

Indexed as

Healthcare DisparitiesHealth Status IndicatorsAgedAged, 80 and overFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedPropensity ScoreSelf ReportSocioeconomic FactorsContextual effectsHealth disparityIncome-inequalityPropensity score matchingU.S. adult health

Identifiers

PMID26256736
PMCPMC4550487

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.