Evidence map›Paper›PMID 40210845›Full record

ReviewCurrent obesity reports2025

Poverty and Childhood Obesity: Current Evidence and Methodologies for Future Research.

Richard Liang, Ryunosuke Goto, Yusuke Okubo, David H Rehkopf, Kosuke Inoue

Abstract readReview
In one paragraph

Review in Current obesity reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Richard LiangDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Ryunosuke GotoDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
Yusuke OkuboDepartment of Social Medicine, National Center for Child Health and Development, Tokyo, Japan.
David H RehkopfDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Kosuke InoueDepartment of Social Epidemiology, Graduate School of Medicine, Kyoto University, Floor 2, Science Frontier Laboratory, Yoshida-konoe-cho, Sakyo-ku Kyoto, Kyoto, 604-8146, Japan. inoue.kosuke.2j@kyoto-u.ac.jp.

Funding

Japan Society for the Promotion of Science 23KK0240
6 · The paper itself

Abstract

purpose of reviewThis narrative review summarizes current knowledge on the link between poverty and childhood obesity, and then describes conventional and modern epidemiologic methods for causal inference that may help provide more robust evidence on how poverty reduction can prevent childhood obesity. RECENT

findingsHousehold poverty has been consistently associated with increased risk of childhood obesity across observational studies in industrialized countries. Due to ethical and feasibility limitations, few randomized controlled trials directly test the effect of poverty reduction. A growing number of studies use quasi-experimental methods to study the effects of poverty reduction policies on childhood obesity. These methods include instrumental variables, difference-in-differences, interrupted time series analysis, and regression discontinuity. Other complementary methods such as causal mediation analysis allow us to elucidate the mechanisms of how poverty reduction affects childhood obesity outcomes, while examining heterogeneous treatment effects using cutting-edge machine learning algorithms may further identify subpopulations that benefit the most from poverty interventions. Despite the strong associations between poverty and childhood obesity observed in industrialized countries, current evidence about the causal effect of poverty reduction on childhood obesity is mixed. This is likely due to the complex etiology of childhood obesity and potentially unintended effects of policies. Future studies that leverage advances in causal inference with quasi-experimental approaches will help provide more robust evidence to help guide practitioners and policymakers in ongoing childhood obesity prevention efforts.

Indexed as

Pediatric ObesityPovertyChildHumansCausal InferenceChildhood ObesityPovertyQuasi-experimental StudiesSocioeconomic Status

Identifiers

PMID40210845
PMCPMC11985678

What OpenQuestion holds

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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.