Evidence map›Paper›PMID 39545144›Full record

ArticleFrontiers in psychology2024

Effects of short video addiction on college students' physical activity: the chain mediating role of self-efficacy and procrastination.

Zhe Zhao, Yali Kou

Abstract read
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Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

2 authors.

Zhe ZhaoDepartment of Physical Education, Kunsan National University, Gunsan, Republic of Korea.
Yali KouSchool of Marxism, Shangqiu Normal University, Shangqiu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Excessive use of short video applications can adversely affect the physical and mental health of college students. At present, regarding the effect of short video addiction on physical exercise, few scholars have studied the mechanism of action. This study aims to investigate the mechanism by which short video addiction impacts college students' physical exercise. Therefore, we investigated the correlation between short video addiction and physical activity, and examined the influence of self-efficacy and procrastination on this relationship. Methods: In this research, 304 college students were selected as survey subjects. The questionnaires included Short Video Addiction Scale, Physical Activity Rating Scale, General Self-Efficacy Scale, and Short Version General Procrastination Scale. The data underwent correlation analysis using SPSS and mediation effect analysis using the PROCESS macro program. Results: (1) 61.51% (187) of college students' physical activity was low exercise. (2) Physical activity was significantly negatively impacted by short video addiction. (3) Self-efficacy played an independent mediating role in the association between short video addiction and physical activity. (4) The association between short video addiction and physical activity was independently mediated by procrastination. (5) Self-efficacy and procrastination function as chain mediators in the association between short video addiction and physical activity. Discussion: Our research identifies the role that self-efficacy and procrastination play in the connection between short video addiction and physical activity. Decreasing the utilization of short video applications and enhancing self-efficacy can reduce procrastination and improve physical activity for college student groups.

Indexed as

chain mediatingphysical activityprocrastinationself-efficacyshort video addiction

Identifiers

PMID39545144
PMCPMC11560786

What OpenQuestion holds

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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.