Evidence map›Paper›PMID 41254680›Full record

ArticlePopulation health metrics2025

Life-course socioeconomic status and obesity: scoping review.

Habila Adamou, Marie-Claude Paquette, Dener François, Éric Robitaille, Sékou Samadoulougou Ouindpanga, Alexandre Lebel

Abstract readScoping Review
In one paragraph

Article in Population health metrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

6 authors.

Habila Adamou, 2275 Rue de L'université, Quebec, QC, G1V 0A8, Canada. habila.adamou-djibo.1@ulaval.ca.
Marie-Claude PaquetteQuebec National Institute of Public Health, Montreal, Canada.
Dener FrançoisCenter for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada.
Éric RobitaillePublic Health Research Center, ESPUM, University of Montreal, Montreal, Canada.
Sékou Samadoulougou OuindpangaCenter for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada.
Alexandre LebelCenter for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectifThe life-course approach is believed to enhance our understanding of the intricate links between life-course socioeconomic status and obesity. In this scoping review, we delve into the literature that examines the links between life-course socioeconomic status and obesity and aim to characterize the life-course approach that was used.

methodsOur search strategy was based on the PRISMA checklist and was performed using three databases: Medline (PubMed), GeoBase (Embase), and Web of Science. We focused on studies that identify life-course socioeconomic and built environment indicators and associate them with body weight status indicators.

resultsUsing stringent inclusion criteria, we identified 52 relevant studies. Our analysis identified three main methodological strategies for studying the influence of life-course socioeconomic status on obesity. The main methodological approaches identified that characterize life-course approach are: 1) sensitive periods, 2) social mobility, or 3) risk accumulation. We found that low socioeconomic status in childhood, adulthood, or late adulthood; a disadvantaged socioeconomic trajectory; and cumulative exposure to socioeconomic disadvantages throughout the life-course increased the risk of obesity. Notably, the association between life-course socioeconomic status and obesity was significantly stronger for women in 56% of the studies.

conclusionThe social inequalities in obesity observed today are the outcome of socioeconomic inequalities accumulated over the life course. 56% of studies show that the influence of life-course socioeconomic status on socioeconomic inequalities in obesity is even stronger in women. Policymakers should prioritize specific interventions aimed at reducing socioeconomic disparities in obesity, particularly among women.

Indexed as

Health Status DisparitiesObesitySocial ClassAdultFemaleHumansMaleRisk FactorsSocial MobilitySocioeconomic FactorsLife-courseObesityScoping reviewSocioeconomic status

Identifiers

PMID41254680
PMCPMC12625444

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.