Evidence map›Paper›PMID 29572376›Full record

ArticleBMJ (Clinical research ed.)2018

Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study.

Silvia Stringhini, Cristian Carmeli, Markus Jokela, Mauricio Avendaño, Cathal McCrory, Angelo d'Errico, Murielle Bochud, Henrique Barros, Giuseppe Costa, Marc Chadeau-Hyam and 21 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in BMJ (Clinical research ed.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
44.5field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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  9. 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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  20. Impact of childhood and adult socioeconomic position on change in functional aging.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2024
    Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 14 institutions in 10 countries.

Silvia StringhiniInstitute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland silvia.stringhini@chuv.ch.
Cristian CarmeliInstitute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland.
Markus JokelaDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Mauricio AvendañoDepartment of Global Health and Social Medicine, King's College London, London, UK.
Cathal McCroryThe Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland.
Angelo d'ErricoEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (TO), Italy.
Murielle BochudInstitute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland.
Henrique BarrosEPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
Giuseppe CostaEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (TO), Italy.
Marc Chadeau-HyamMRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Cyrille DelpierreINSERM, UMR1027, Toulouse, France, and Université Toulouse III Paul-Sabatier, Toulouse, France.
Martina GandiniEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (TO), Italy.
Silvia FragaEPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
Marcel GoldbergPopulation-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France, and Paris Descartes University, Paris, France.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Camille LassaleUniversity College London, Department of Epidemiology and Public Health, London, UK.
Rose Anne KennyThe Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland.
Michelle Kelly-IrvingINSERM, UMR1027, Toulouse, France, and Université Toulouse III Paul-Sabatier, Toulouse, France.
Fred PaccaudInstitute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland.
Richard LayteDepartment of Sociology, Trinity College Dublin, Dublin, Ireland.
Peter MuennigGlobal Research Analytics for Population Health, Health Policy and Management, Columbia University, New York, NY, USA.
Michael G MarmotUniversity College London, Department of Epidemiology and Public Health, London, UK.
Ana Isabel RibeiroEPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
Gianluca SeveriCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Andrew SteptoeUniversity College London, Department of Epidemiology and Public Health, London, UK.
Martin J ShipleyUniversity College London, Department of Epidemiology and Public Health, London, UK.
Marie ZinsPopulation-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France, and Paris Descartes University, Paris, France.
Johan P MackenbachDepartment of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.
Paolo VineisMRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Mika KivimäkiUniversity College London, Department of Epidemiology and Public Health, London, UK.
LIFEPATH Consortium
University College London · GBInstitute of Social and Preventive Medicine · CHRegione PiemonteTrinity College Dublin · IEUniversidade do Porto · PTCancer Council Victoria · AUImperial College London · GBUniversité Toulouse III - Paul Sabatier · FRErasmus MC · NLGlobal Policy Institute · USInserm · FRKing's College London · GBUniversité Paris Cité · FRUniversity of Helsinki · FI

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Medical Research Council K013351Medical Research Council MR/K013351/1NIA NIH HHS P01 AG020166NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

objectiveTo assess the association of low socioeconomic status and risk factors for non-communicable diseases (diabetes, high alcohol intake, high blood pressure, obesity, physical inactivity, smoking) with loss of physical functioning at older ages.

designMulti-cohort population based study.

setting37 cohort studies from 24 countries in Europe, the United States, Latin America, Africa, and Asia, 1990-2017.

participants109 107 men and women aged 45-90 years.

main outcome measurePhysical functioning assessed using the walking speed test, a valid index of overall functional capacity. Years of functioning lost was computed as a metric to quantify the difference in walking speed between those exposed and unexposed to low socioeconomic status and risk factors.

resultsAccording to mixed model estimations, men aged 60 and of low socioeconomic status had the same walking speed as men aged 66.6 of high socioeconomic status (years of functioning lost 6.6 years, 95% confidence interval 5.0 to 9.4). The years of functioning lost for women were 4.6 (3.6 to 6.2). In men and women, respectively, 5.7 (4.4 to 8.1) and 5.4 (4.3 to 7.3) years of functioning were lost by age 60 due to insufficient physical activity, 5.1 (3.9 to 7.0) and 7.5 (6.1 to 9.5) due to obesity, 2.3 (1.6 to 3.4) and 3.0 (2.3 to 4.0) due to hypertension, 5.6 (4.2 to 8.0) and 6.3 (4.9 to 8.4) due to diabetes, and 3.0 (2.2 to 4.3) and 0.7 (0.1 to 1.5) due to tobacco use. In analyses restricted to high income countries, the number of years of functioning lost attributable to low socioeconomic status by age 60 was 8.0 (5.7 to 13.1) for men and 5.4 (4.0 to 8.0) for women, whereas in low and middle income countries it was 2.6 (0.2 to 6.8) for men and 2.7 (1.0 to 5.5) for women. Within high income countries, the number of years of functioning lost attributable to low socioeconomic status by age 60 was greater in the United States than in Europe. Physical functioning continued to decline as a function of unfavourable risk factors between ages 60 and 85. Years of functioning lost were greater than years of life lost due to low socioeconomic status and non-communicable disease risk factors.

conclusionsThe independent association between socioeconomic status and physical functioning in old age is comparable in strength and consistency with those for established non-communicable disease risk factors. The results of this study suggest that tackling all these risk factors might substantially increase life years spent in good physical functioning.

Indexed as

Social ClassWalking SpeedAgedAgingAlcoholismDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedObesityRisk FactorsSedentary BehaviorSmoking

Identifiers

PMID29572376
PMCPMC5865179
OpenAlexW2790396093

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.