Evidence map›Paper›PMID 41694528›Full record

ArticleFrontiers in public health2026

The influencing factors and generation path of digital health literacy among adolescents: evidence from 18 provinces in China.

Yi Wang, Qingwei Zeng, Mengyuan Chen

Abstract read
In one paragraph

Article in Frontiers in public health, 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
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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

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

3 authors.

Yi WangSchool of Journalism and Communication, Guangzhou University, Guangzhou, China.
Qingwei ZengSchool of Journalism and Communication, Guangzhou University, Guangzhou, China.
Mengyuan ChenSchool of Education, Guangzhou University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the generation path and influencing factors of digital health literacy (DHL) among adolescents (aged 12-22), addressing gaps in the research by giving insufficient attention to underage youth and the lack of qualitative exploration. Methods: Adopting grounded theory, 74 semistructured online interviews were conducted with adolescents across 18 Chinese provinces, generating 190 thousand words of anonymized text. Through open, axial, and selective coding, 33 initial concepts, 14 core categories, and 6 main categories (literacy foundation, active exploration, passive arousal, positive effects, negative impact, and practical problems) were identified. Results: The results show that a literacy foundation (digital equipment/channels), active exploration (self-improvement/disease management), and passive arousal (media influence/environmental immersion) promote adolescent DHL, whereas negative impacts (health anxiety/information security) and practical problems (misinformation/supply shortages) hinder it. DHL benefits adolescents individually (fostering health actions, conceptual reconstruction, and habit formation) and socially (enabling digital feedback for health knowledge dissemination). This study also constructed an adolescent DHL generation path model and identified three paths, including the cognitive-environmental synergy path, action-technology driven path, and anxiety-action transformation path, collectively revealing the diverse formation mechanisms of adolescents' DHL. Discussion: Practical suggestions for improving adolescents' DHL were proposed. The results provided insights into enhancing adolescent DHL and support the optimization of adolescents' health trajectory via digital tools.

Indexed as

Health LiteracyAdolescentChildChinaDigital HealthDigital MediaFemaleHumansInterviews as TopicMaleQualitative Researchadolescentsdigital healthdigital health literacydigital mediaintelligent media

Identifiers

PMID41694528
PMCPMC12895680

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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.