Evidence map›Paper›PMID 42625827›Full record

ArticleHealth science reports2026

Exploring Patterns and Associated Factors of Physical Inactivity in Adolescents: A Cross‑Sectional Study.

Claire Chenwen Zhong, Zehuan Yang, Mingtao Chen, Zhaojun Li, Vera M W Keung, Amelia Lo, Calvin Cheung, Junjie Huang, Martin C S Wong

Abstract read
In one paragraph

Article in Health science reports, 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

9 authors.

Claire Chenwen ZhongThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.
Zehuan YangThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.
Mingtao ChenThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0009-0007-1628-8554
Zhaojun LiThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.
Vera M W KeungThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0000-0002-1744-2345
Amelia LoThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0000-0002-2290-4815
Calvin CheungThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0000-0002-9191-1744
Junjie HuangThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0009-0002-2010-4301
Martin C S WongThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0000-0001-7706-9370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Physical inactivity is highly prevalent among adolescents and poses long-term health risks. Understanding how individual characteristics are associated with inactivity may help inform the development of tailored interventions. This study examined the associations between adolescents' individual-level factors and physical inactivity in Hong Kong. Methods: A cross-sectional survey was conducted among Secondary 1-4 students in Hong Kong. A self-administered questionnaire assessed physical inactivity and potential factors, including sociodemographic characteristics, health behaviors, health literacy, and mental toughness. Univariable and multivariable logistic regression analyses were conducted to identify potential factors associated with physical inactivity. Results: Among the 1423 adolescents, only 12.9% ( Conclusion: A high level of physical inactivity was observed among adolescents in this study. The observed associations with age, sex, electronic gaming, vegetable intake, and mental toughness may inform the design and evaluation of school- and community-level physical activity initiatives.

Indexed as

adolescencehealth behaviorsmental toughnessphysical inactivity

Identifiers

PMID42625827
PMCPMC13490853

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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.