Evidence map›Paper›PMID 29059279›Full record

ArticleJAMA internal medicine2017

Wealth-Associated Disparities in Death and Disability in the United States and England.

Lena K Makaroun, Rebecca T Brown, L Grisell Diaz-Ramirez, Cyrus Ahalt, W John Boscardin, Sean Lang-Brown, Sei Lee

Abstract readVideo-Audio Media
In one paragraph

Article in JAMA internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Family wealth and adolescent physical health.Health psychology review · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Socioeconomic Inequalities in Frailty Distribution: A Cross-National Comparison of the United States and England.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lena K MakarounVA Puget Sound Health Care System, Seattle, Washington.
Rebecca T BrownDivision of Geriatrics, University of California, San Francisco, San Francisco.
L Grisell Diaz-RamirezDivision of Geriatrics, University of California, San Francisco, San Francisco.
Cyrus AhaltDivision of Geriatrics, University of California, San Francisco, San Francisco.
W John BoscardinDivision of Geriatrics, University of California, San Francisco, San Francisco.
Sean Lang-BrownDivision of Geriatrics, University of California, San Francisco, San Francisco.
Sei LeeDivision of Geriatrics, University of California, San Francisco, San Francisco.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KENNETH E. COVINSKY · 2013 to 2026
$19.9M
Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
Epidemiology and Outcomes of Premature Geriatrics SyndromesK23AG045290 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BROWN, REBECCA TYLER · 2014 to 2018
$882k
NCATS NIH HHS KL2 TR000143NIA NIH HHS K23 AG045290NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

Importance: Low income has been associated with poor health outcomes. Owing to retirement, wealth may be a better marker of financial resources among older adults. Objective: To determine the association of wealth with mortality and disability among older adults in the United States and England. Design, Setting, and Participants: The US Health and Retirement Study (HRS) and English Longitudinal Study of Aging (ELSA) are nationally representative cohorts of community-dwelling older adults. We examined 12 173 participants enrolled in HRS and 7599 enrolled in ELSA in 2002. Analyses were stratified by age (54-64 years vs 66-76 years) because many safety-net programs commence around age 65 years. Participants were followed until 2012 for mortality and disability. Exposures: Wealth quintile, based on total net worth in 2002. Main Outcomes and Measures: Mortality and disability, defined as difficulty performing an activity of daily living. Results: A total of 6233 US respondents and 4325 English respondents aged 54 to 64 years (younger cohort) and 5940 US respondents and 3274 English respondents aged 66 to 76 years (older cohort) were analyzed for the mortality outcome. Slightly over half of respondents were women (HRS: 6570, 54%; ELSA: 3974, 52%). A higher proportion of respondents from HRS were nonwhite compared with ELSA in both the younger (14% vs 3%) and the older (13% vs 3%) age cohorts. We found increased risk of death and disability as wealth decreased. In the United States, participants aged 54 to 64 years in the lowest wealth quintile (Q1) (≤$39 000) had a 17% mortality risk and 48% disability risk over 10 years, whereas in the highest wealth quintile (Q5) (>$560 000) participants had a 5% mortality risk and 15% disability risk (mortality hazard ratio [HR], 3.3; 95% CI, 2.0-5.6; P < .001; disability subhazard ratio [sHR], 4.0; 95% CI, 2.9-5.6; P < .001). In England, participants aged 54 to 64 years in Q1 (≤£34,000) had a 16% mortality risk and 42% disability risk over 10 years, whereas Q5 participants (>£310,550) had a 4% mortality risk and 17% disability risk (mortality HR, 4.4; 95% CI, 2.7-7.0; P < .001; disability sHR, 3.0; 95% CI, 2.1-4.2; P < .001). In 66- to 76-year-old participants, the absolute risks of mortality and disability were higher, but risk gradients across wealth quintiles were similar. When adjusted for sex, age, race, income, and education, HR for mortality and sHR for disability were attenuated but remained statistically significant. Conclusions and Relevance: Low wealth was associated with death and disability in both the United States and England. This relationship was apparent from age 54 years and continued into later life. Access to health care may not attenuate wealth-associated disparities in older adults.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesSocial ClassAgedEnglandFemaleHealth PolicyHealth Services AccessibilityHumansIncomeMaleMiddle AgedMortalityPersons with DisabilitiesUnited States

Identifiers

PMID29059279
PMCPMC5820733

What OpenQuestion holds

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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.