Evidence map›Paper›PMID 33221853›Full record

ArticleInternational journal of epidemiology2021

Metabolic profiles of socio-economic position: a multi-cohort analysis.

Oliver Robinson, Alice R Carter, Mika Ala-Korpela, Juan P Casas, Nishi Chaturvedi, Jorgen Engmann, Laura D Howe, Alun D Hughes, Marjo-Riitta Järvelin, Mika Kähönen and 19 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  4. Individual and neighborhood socioeconomic inequality and the risk of dementia: A 14-year follow-up study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

29 authors at 12 institutions in 4 countries.

Oliver RobinsonDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-4735-0468
Alice R CarterMRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0003-2817-4195
Mika Ala-KorpelaSystems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0001-5905-1206
Juan P CasasMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK.
Jorgen EngmannInstitute of Cardiovascular Science, University College London, UK.
Laura D HoweMRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
Alun D HughesMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK.ORCID 0000-0001-5432-5271
Marjo-Riitta JärvelinDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Mika KähönenDepartment of Clinical Physiology, Tampere University Hospital, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland.
Ville KarhunenDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK.
Tina ShahInstitute of Cardiovascular Science, University College London, UK.
Yoav Ben-ShlomoMRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
Reecha SofatInstitute of Health Informatics, University College London, London, UK.
Chung-Ho E LauDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland.
Usha MenonMRC Clinical Trials Unit at UCL, University College London, UK.
Olli RaitakariCentre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland.
Andy RyanMRC Clinical Trials Unit at UCL, University College London, UK.
Rui ProvidenciaInstitute of Health Informatics, University College London, London, UK.
Stephanie SmithDepartment of Medicine, University of Turku, (and) Division of Medicine, Turku University Hospital, Turku, Finland.
Julie TaylorInstitute of Health Informatics, University College London, London, UK.
Therese TillinMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK.
Jorma ViikariDepartment of Medicine, University of Turku, (and) Division of Medicine, Turku University Hospital, Turku, Finland.
Andrew WongMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, UK.
Aroon D HingoraniInstitute of Cardiovascular Science, University College London, UK.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London, UK.ORCID 0000-0002-4699-5627
Paolo VineisDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-8935-4566
University College London · GBMRC Unit for Lifelong Health and Ageing · GBImperial College London · GBUniversity of Bristol · GBUniversity of Turku · FIMRC Clinical Trials Unit at UCL · GBBaker Heart and Diabetes Institute · AUBrigham and Women's Hospital · USBritish Heart Foundation · GBOulu University Hospital · FITampere University · FITampere University Hospital · FI

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
British Heart Foundation AA/18/6/34223British Heart Foundation CS/13/1/30327British Heart Foundation PG/17/90/33415British Heart Foundation RG/10/12/28456British Heart Foundation SP/07/001/23603British Heart Foundation SP/13/6/30554Department of HealthMedical Research Council G9815508Medical Research Council K013351Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00004/01Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/4Medical Research Council MR/M013138/1Medical Research Council MR/M013138/2Medical Research Council MR/M020894/1Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1Medical Research Council MR/S019669/1Medical Research Council MR/S03532X/1Medical Research Council MR/S03658X/1NIA NIH HHS R01 AG056477Wellcome TrustWellcome Trust 082464/Z/07/ZWellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

backgroundLow socio-economic position (SEP) is a risk factor for multiple health outcomes, but its molecular imprints in the body remain unclear.

methodsWe examined SEP as a determinant of serum nuclear magnetic resonance metabolic profiles in ∼30 000 adults and 4000 children across 10 UK and Finnish cohort studies.

resultsIn risk-factor-adjusted analysis of 233 metabolic measures, low educational attainment was associated with 37 measures including higher levels of triglycerides in small high-density lipoproteins (HDL) and lower levels of docosahexaenoic acid (DHA), omega-3 fatty acids, apolipoprotein A1, large and very large HDL particles (including levels of their respective lipid constituents) and cholesterol measures across different density lipoproteins. Among adults whose father worked in manual occupations, associations with apolipoprotein A1, large and very large HDL particles and HDL-2 cholesterol remained after adjustment for SEP in later life. Among manual workers, levels of glutamine were higher compared with non-manual workers. All three indicators of low SEP were associated with lower DHA, omega-3 fatty acids and HDL diameter. At all ages, children of manual workers had lower levels of DHA as a proportion of total fatty acids.

conclusionsOur work indicates that social and economic factors have a measurable impact on human physiology. Lower SEP was independently associated with a generally unfavourable metabolic profile, consistent across ages and cohorts. The metabolites we found to be associated with SEP, including DHA, are known to predict cardiovascular disease and cognitive decline in later life and may contribute to health inequalities.

Indexed as

MetabolomeAdultChildCohort StudiesEducational StatusFinlandHumansTriglyceridesTriglycerideseducationlife courselipoproteinsmetabolomicsmetabonomicoccupationSocio-economic status

Identifiers

PMID33221853
PMCPMC8271201
OpenAlexW3110434845

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.