Evidence map›Paper›PMID 27875579›Full record

ArticlePloS one2016

Wealth and Disability in Later Life: The English Longitudinal Study of Ageing (ELSA).

Juliana Lustosa Torres, Maria Fernanda Lima-Costa, Michael Marmot, Cesar de Oliveira

Abstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. The Intersection of Socioeconomic and Environmental Factors in Aging: Insights from a Narrative Review.International journal of environmental research and public health · 2025
    Review
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  11. Machine Learning Models to Predict Future Frailty in Community-Dwelling Middle-Aged and Older Adults: The ELSA Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  12. Article
  13. Dose-Response Relationships Between Polypharmacy and All-Cause and Cause-Specific Mortality Among Older People.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
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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.

Juliana Lustosa TorresPrograma de Pós-graduação em Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Maria Fernanda Lima-CostaRene Rachou Research Center, the Oswaldo Cruz Foundation in the State of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Michael MarmotResearch Department of Epidemiology and Public Health, University College London, London, United Kingdom.
Cesar de OliveiraResearch Department of Epidemiology and Public Health, University College London, London, United Kingdom.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
British Heart Foundation RG/07/008/23674Medical Research Council G0100222Medical Research Council G0601647Medical Research Council G0701830Medical Research Council G0902037Medical Research Council G1000616Medical Research Council G19/35Medical Research Council G8802774NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

We examined wealth inequalities in disability, taking into account the effect of both depression and social support among older English adults using data from 5,506 community-dwelling people aged 50 years and over from the English Longitudinal Study of Ageing (ELSA). Disability was measured as self-reported limitations in the Basic Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). Depressive symptomatology was measured using the 8-item Center for Epidemiological Studies-Depression (CES-D) scale. Social support was assessed by marital status and frequency of contact with friends, relatives or children. Multinomial logistic regression models were used to assess the role of social support and depressive symptoms on disability by total household wealth, which is a measure of accumulated assets over the course of life. Our findings showed that the poorest men with disability were more likely to live without a partner and have no weekly contact with children, family or friends compared to the wealthiest. Among women with disability, the poorest were more likely to report loneliness and have no partner while the wealthiest and the intermediate groups were more likely to be living with a partner. There was a strong inverse dose-response association between wealth and depressive symptoms among all participants with disability. This study shows a clear wealth gradient in disability among older English adults, especially for those with elevated depressive symptoms.

Indexed as

AgingPersons with DisabilitiesAdultAgedAged, 80 and overDepressionEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedSocial SupportSocioeconomic Factors

Identifiers

PMID27875579
PMCPMC5119775

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.