Evidence map›Paper›PMID 41511615›Full record

ArticleJournal of prevention (2022)2026

Mobile Internet Use and Obesity Among Chinese Adults.

Yichuan Tian

Abstract read
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In one paragraph

Article in Journal of prevention (2022), 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

1 author.

Yichuan TianSchool of Politics & Public Administration, Soochow University, Suzhou, China. a3303183330@163.com.ORCID http://orcid.org/0009-0004-8852-776X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China has one of the world's largest obese populations combined with the largest scale of mobile internet penetration, but there is limited evidence on the relationship between mobile internet use (MIU) and body mass index (BMI) among obese Chinese adults. We aimed to explore the effect of MIU on BMI in obese Chinese adults and the heterogeneity of this effect at different quartiles. Data were derived from two waves of the China Family Panel Studies (CFPS) spanning 2020 to 2022. The final analytic sample comprised 15098 observations, focusing on adults defined as obese. We employed logistic random effects models to examine the general association between MIU and obesity risk, followed by linear random effects models to quantify the specific impact of MIU duration on BMI within the obese population. Furthermore, quantile regression and subgroup analyses were utilized to investigate the heterogeneity of these effects across different BMI distributions and age cohorts. Firstly, after controlling for covariates and individual-level random effects, MIU was positively correlated with obesity (OR=1.054, 95%CI: 1.003-1.108, p<0.05), and further positively influenced BMI among obese adults (B=0.032, p<0.05). Secondly, the coefficient of MIU's impact on BMI among obese adults increased progressively and remained significant as the quantile rose from lower to higher levels (at or above the 30th percentile). Lastly, when age groups were used as the basis for division, the effect of MIU on BMI among obese adults was only significant among young adults (B=0.041, p<0.05). We confirmed that a longer duration of MIU may lead to an increase in BMI among obese Chinese adults, and this relationship exhibits heterogeneity across different quantiles and age groups.

Indexed as

Internet UseObesityAdultBody Mass IndexChinaEast Asian PeopleFemaleHumansMaleMiddle AgedBody mass indexMobile internet useObesity

Identifiers

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.