Evidence map›Paper›PMID 42181230›Full record

ArticleiScience2026

The double-edged sword of digital development: A global Bayesian analysis of ICT and obesity in children and adolescents aged 5 to 19 years.

Haixia Pu, Wenying Gao, Wenwen Kang, Xinge Wang, Yanting Zhao

Abstract read
In one paragraph

Article in iScience, 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

5 authors.

Haixia PuSchool of Public Administration, Chongqing Technology and Business University, Chongqing, China.
Wenying GaoSchool of Public Administration, Chongqing Technology and Business University, Chongqing, China.
Wenwen KangInstitute for Chengdu-Chongqing Economic Zone Development, Key Research Base of Humanities and Social Sciences of Ministry of Education, Chongqing Technology and Business University, Chongqing, China.
Xinge WangChina Academy of Urban Planning and Design, Beijing, China.
Yanting ZhaoSchool of Public Administration, Chongqing Technology and Business University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expansion of information and communication technology (ICT) may influence childhood and adolescent obesity, but global evidence on its spatiotemporal patterns remains limited. Using panel data from 160 countries during 1990-2020, we applied Bayesian spatiotemporal and regression models to examine associations between ICT development and obesity prevalence among those aged 5 to 19 years. ICT levels were highest in Europe and high income countries, whereas obesity prevalence was highest in the western Pacific, the Americas, and the eastern Mediterranean, as well as in high and upper middle income countries. Associations varied by region: higher ICT development was linked to lower obesity in the eastern Mediterranean, Africa, and the Americas, but to higher obesity in Europe, the western Pacific, and south-east Asia. These findings support regionally and socioeconomically tailored digital health policies to address childhood and adolescent obesity.

Indexed as

health sciencesobesity medicinepublic health

Identifiers

PMID42181230
PMCPMC13196103

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.