Evidence map›Paper›PMID 29908857›Full record

ArticleThe Lancet. Public health2018

Midlife contributors to socioeconomic differences in frailty during later life: a prospective cohort study.

Eric J Brunner, Martin J Shipley, Sara Ahmadi-Abhari, Carlos Valencia Hernandez, Jessica G Abell, Archana Singh-Manoux, Ichiro Kawachi, Mika Kivimaki

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% of its field
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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Systematic review and meta-analysis of the association between smoking and the incidence of frailty.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2019
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  18. Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 4 countries.

Eric J BrunnerResearch Department of Epidemiology and Public Health, University College London, London, UK. Electronic address: e.brunner@ucl.ac.uk.
Martin J ShipleyResearch Department of Epidemiology and Public Health, University College London, London, UK.
Sara Ahmadi-AbhariResearch Department of Epidemiology and Public Health, University College London, London, UK.
Carlos Valencia HernandezResearch Department of Epidemiology and Public Health, University College London, London, UK.
Jessica G AbellResearch Department of Epidemiology and Public Health, University College London, London, UK.
Archana Singh-ManouxResearch Department of Epidemiology and Public Health, University College London, London, UK; INSERM, Centre for Research in Epidemiology & Public Health, Hôpital Paul Brousse, Bâtiment, France.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA.
Mika KivimakiClinicum, Faculty of Medicine, University of Helsinki, Finland.
University College London · GBHarvard University · USUniversity of Helsinki · FI

Funding

British Heart Foundation RG/13/2/30098Medical Research Council MR/K013351/1Medical Research Council MR/R024227/1
6 · The paper itself

Abstract

backgroundHealth inequalities persist into old age. We aimed to investigate risk factors for socioeconomic differences in frailty that could potentially be modified through policy measures.

methodsIn this multi-wave longitudinal cohort study (Whitehall II study), we assessed participants' socioeconomic status, behavioural and biomedical risk factors, and disease status at age 45-55 years, and frailty (defined according to the Fried phenotype) at baseline and at one or more of three clinic visits about 18 years later (mean age 69 years [SD 5·9]). We used logistic mixed models to examine the associations between socioeconomic status and risk factors at age 50 years and subsequent prevalence of frailty (adjusted for sex, ethnic origin, and age), with sensitivity analyses and multiple imputation for missing data.

findingsBetween Sept 9, 2007, and Dec 8, 2016, 6233 middle-aged adults were measured for frailty. Frailty was present in 562 (3%) of 16 164 person-observations, and varied by socioeconomic status: 145 (2%) person-observations had high socioeconomic status, 241 (4%) had intermediate status, and 176 (7%) had low socioeconomic status, adjusting for sex and age. Risk factors for frailty included cardiovascular disease, depression, smoking, high or abstinent alcohol consumption, low fruit and vegetable consumption, physical inactivity, poor lung function, hypertension, and overweight or obesity. Cardiometabolic markers for future frailty were high ratio of total to high-density lipoprotein cholesterol, and raised interleukin-6 and C-reactive protein concentrations. The five most important factors contributing to the frailty gradient, assessed by percent attenuation of the association between socioeconomic status and frailty, were physical activity (13%), interleukin-6 (13%), body-mass index category (11%), C-reactive protein (11%), and poor lung function (10%). Overall, socioeconomic differences in frailty were reduced by 40% in the maximally-adjusted model compared with the minimally-adjusted model.

interpretationBehavioural and cardiometabolic risk factors in midlife account for more than a third of socioeconomic differences in frailty. Our findings suggest that interventions targeting physical activity, obesity, smoking, and low-grade inflammation in middle age might reduce socioeconomic differences in later-life frailty.

fundingBritish Heart Foundation and British Medical Research Council.

Indexed as

Health Status DisparitiesAgedFemaleFrailtyHumansMaleMiddle AgedProspective StudiesRisk FactorsSocioeconomic Factors

Identifiers

PMID29908857
PMCPMC6120440
OpenAlexW2808447485

What OpenQuestion holds

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LicenceCC BY
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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.