Evidence map›Paper›PMID 41268391›Full record

ArticleFrontiers in public health2025

Association and benefits of 24-h activity behavior and academic procrastination among Chinese college students based on the isotemporal substitution model.

Fang Kuai, Xia Wu, Xiaoming Zhou, Wenxiang Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Fang Kuai *Department of Physical Education, Guangdong Polytechnic of Science and Trade, Guangzhou, Guangdong, China.
Xia WuPolice Training Department, Sichuan Vocational College of Judicial Police, Sichuan, China.
Xiaoming Zhou *Graduate School, Beijing Sport University, Beijing, China.
Wenxiang LiuXuzhou Campus, China University of Mining and Technology, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study systematically explores the association between 24-h activity behaviors and academic procrastination among college students, with a focus on analyzing the influence mechanisms of different activity types and time allocation patterns on academic procrastination. The aim is to reveal the potential role of optimizing activity behavior patterns in alleviating academic procrastination and provide a scientific basis for campus health promotion strategies. Methods: Data on 24-h activity behaviors (physical activity, sedentary behavior, sleep) and academic procrastination were collected from 986 college students through a questionnaire survey. Compositional data analysis was used to quantify the isotemporal substitution effects of activity behaviors, and dose-response analysis was combined to explore the dynamic relationship between activity time allocation and academic procrastination. Results: (1) Academic procrastination was prevalent (52.5%) and significantly negatively correlated with academic performance ( Conclusion: Academic procrastination among college students is closely related to activity behavior patterns. Higher MVPA time and lower SB are associated with significantly lower levels of procrastination, suggesting that optimizing daily activity allocation may be a viable strategy for intervention. It is recommended to formulate targeted intervention strategies by optimizing daily activity time allocation (e.g., adding 20 min of MVPA daily to replace SB) to provide scientific guidance for promoting the physical and mental health of college students.

Indexed as

ExerciseProcrastinationStudentsAdolescentAdultChinaFemaleHumansMaleSedentary BehaviorSurveys and QuestionnairesUniversitiesYoung Adult24-h physical activityacademic procrastinationactivity behaviorisotemporal substitutiontime allocation

Identifiers

PMID41268391
PMCPMC12626911

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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.