Evidence map›Paper›PMID 37854249›Full record

ArticleFrontiers in public health2023

Prospective association between 24-hour movement behaviors and mental health among overweight/obese college students: a compositional data analysis approach.

Shuai Wang, Wei Liang, Huiqi Song, Ning Su, Lin Zhou, Yanping Duan, Ryan E Rhodes, Huaxuan Liu, Yi-de Yang, Wing Chung Patrick Lau and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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  6. Observational
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  9. Twenty-Four-Hour Compositional Data Analysis in Healthcare: Clinical Potential and Future Directions.International journal of environmental research and public health · 2025
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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

11 authors at 7 institutions in 3 countries.

Shuai WangSchool of Economics and Business Administration, Chongqing University of Education, Chongqing, China.
Wei LiangSchool of Physical Education, Shenzhen University, Shenzhen, Guangdong, China.
Huiqi SongDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Ning SuSchool of Physical Education, Shenzhen University, Shenzhen, Guangdong, China.
Lin ZhouSchool of Physical Education, Hebei Normal University, Shijiazhuang, Hebei, China.
Yanping DuanDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Ryan E RhodesSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.
Huaxuan LiuSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, Fujian, China.
Yi-de YangSchool of Medicine, Hunan Normal University, Changsha, China.
Wing Chung Patrick LauDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Julien Steven BakerDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Hong Kong Baptist University · HKShenzhen University · CNArmy Medical University · CNFujian Normal University · CNHebei Normal University · CNHunan Normal University · CNUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 24-h movement behaviors, including light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), screen-based sedentary behavior (SSB), non-screen-based sedentary behavior (NSB) and sleep are crucial components affecting mental health. This study aimed to examine the associations of movement behaviors with mental health outcomes among overweight/obese college students using a compositional data analysis approach. Methods: Using a prospective design, 437 Chinese college students (20.1 ± 1.7 years, 51.7% female) completed a two-wave online data collection, where demographics and movement behaviors (LPA, MVPA, SSB, NSB, sleep) were collected at baseline, while depression, anxiety and stress were measured at the 2-month follow-up (Apr-Jul 2022). Compositional data analyses were implemented using R. Results: Depression, anxiety, and stress were negatively associated with time spent in MVPA and sleep ( Conclusion: The findings emphasize the importance of participating in MVPA to improve mental health in overweight/obese college students during the post-COVID-19 era. The compositional analysis produced clear targets for the time allocation of these behaviors for future interventions and policymaking.

Indexed as

COVID-19OverweightFemaleHumansMaleMental HealthObesityStudentsmental healthobesityphysical activitysedentary behaviorsleep

Identifiers

PMID37854249
PMCPMC10579788
OpenAlexW4387309216

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.