Evidence map›Paper›PMID 42688108›Full record

ArticleFrontiers in psychiatry2026

Digital health literacy and disordered eating among adolescents: the chain mediating roles of physical activity and problematic social media use.

Xuyao Ding, Chuyuan Zhao, Jiaqi Qu, Chen Tang, Chuxi Shang, Jianing Lyu, Zhen Li

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xuyao DingCollege of Physical Education, Henan University, Kaifeng, Henan, China.
Chuyuan ZhaoCollege of Physical Education, Henan University, Kaifeng, Henan, China.
Jiaqi QuCollege of Physical Education, Henan University, Kaifeng, Henan, China.
Chen TangCollege of Physical Education, Henan University, Kaifeng, Henan, China.
Chuxi ShangCollege of Physical Education, Henan University, Kaifeng, Henan, China.
Jianing LyuBody-Brain-Mind Laboratory, School of Psychology, Wuhan Sports University, Wuhan, China.
Zhen LiSchool of Physical Education, Henan Kaifeng College of Science Technology and Communication, Kaifeng, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital environments may increase adolescents' vulnerability to disordered eating through misleading health information and problematic social media use. This study examined the association between digital health literacy and disordered eating, including the independent and serial indirect associations of physical activity and problematic social media use. Methods: This cross-sectional study included 2,206 adolescents recruited from five secondary schools using purposive and convenience sampling. Participants had a mean age of 14.50 years (SD = 1.76). Digital health literacy, disordered eating, physical activity, and problematic social media use were assessed using validated scales. Correlation and bootstrap-based regression analyses were conducted to estimate the specific and serial indirect associations. Results: Digital health literacy was negatively associated with disordered eating and problematic social media use and positively associated with physical activity. The total association between digital health literacy and disordered eating was -0.324 (95% CI [-0.365, -0.283]), including a direct association of -0.135 (95% CI [-0.177, -0.092]). Indirect associations were observed through physical activity (-0.098, 95% CI [-0.121, -0.077]), problematic social media use (-0.072, 95% CI [-0.089, -0.057]), and physical activity followed by problematic social media use (-0.019, 95% CI [-0.024, -0.015]). Conclusion: Digital health literacy was associated with disordered eating through independent and serial indirect associations involving physical activity and problematic social media use. These findings suggest the value of coordinated school- and family-based strategies integrating digital health literacy education, physical activity promotion, responsible social media use, and early identification of disordered eating.

Indexed as

adolescentsdigital health literacydisordered eatingphysical activityproblematic social media use

Identifiers

PMID42688108
PMCPMC13533913

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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.