Evidence map›Paper›PMID 42574737›Full record

ArticleJournal of medical Internet research2026

Social Media as a Driver of Obesity in Children and Adolescents (Aged 6-18 Years): It Is Time for Regulatory Action.

Yuwei Liu, Wenyun Li, Li Ming Wen, Gengsheng He

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yuwei LiuSchool of Public Health, National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, 130 Dong'an Road, Shanghai, 200032, China, 86 2154237271.ORCID http://orcid.org/0000-0002-4541-3824
Wenyun LiDepartment of Clinical Nutrition, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-0249-090X
Li Ming WenSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-1381-4022
Gengsheng HeSchool of Public Health, National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, 130 Dong'an Road, Shanghai, 200032, China, 86 2154237271.ORCID http://orcid.org/0000-0002-8740-8935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Obesity in children and adolescents is rising in China and globally, with health consequences that are already evident during childhood. This Viewpoint represents the authors' interpretation of current evidence and policy experience, using China as an illustrative case for a wider international challenge. We argue that social media should be considered a modifiable obesogenic environment because it can amplify sedentary behavior, digital food marketing, disrupted sleep, body image pressures, cyberbullying-related distress, and reward-based design that encourages prolonged device use. The aim of this Viewpoint is to explain why proportionate regulation of social media should be included in childhood obesity prevention. We make 4 key arguments: digital food marketing and persuasive platform design require stronger age-sensitive governance; regulatory approaches should be differentiated by developmental stage and social context; AI-assisted moderation may support enforcement but requires safeguards; and regulation should complement, not replace, school-based education, family engagement, and healthy technology design. The intended audience includes public health researchers, clinicians, policymakers, platform regulators, educators, and child-health advocates in China and internationally.

Indexed as

ObesityPediatric ObesitySocial MediaAdolescentChildChinaDigital MediaHumansartificial intelligencechildhood obesitydigital food marketingonline platform governancesocial media

Identifiers

PMID42574737
PMCPMC13456531

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.