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探究问题性智能手机使用、运动拖延与自我控制之间的联系:一项网络分析

Mapping the links between problematic smartphone use, exercise procrastination, and self-control: a network analysis.

作者信息

He Yingjuan, Wen Jie, Liu Fei, Zhou Chengming, Pan Qian, Qin Xiaomin, Miao Miao

机构信息

School of Public Health, Mudanjiang Medical University, Mudanjiang, China.

Department of Medical Psychology, School of Health Humanities, Peking University, Beijing, China.

出版信息

BMC Psychol. 2025 Jul 1;13(1):702. doi: 10.1186/s40359-025-03051-x.

DOI:10.1186/s40359-025-03051-x
PMID:40598701
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12220067/
Abstract

BACKGROUND

Health risk behaviors, such as problematic smartphone use (PSU) and insufficient physical exercise, are prevalent among university students. This study focused on medical students, given that health risk behaviors may impact their health and future career performance. Specifically, the study aimed to explore the relationship between PSU, exercise procrastination, and their shared common risk factor—self-control—using network analysis.

METHODS

A total of 917 undergraduate students ( = 19.23 ± 1.18 years, 63.58% female) completed the Smartphone Addiction Scale-Short Version, Procrastination in Exercise Scale, and Brief Self-Control Scale. Network analysis was used to examine the associations between PSU, exercise procrastination, and self-control at the item level.

RESULTS

PSU, exercise procrastination, and self-control formed a stable network structure and were significantly correlated. Specifically, PSU and exercise procrastination were positively associated and both showed significant negative associations with self-control. Self-control may serve as an intermediary bridge between PSU and exercise procrastination.

CONCLUSION

In the future, interventions targeting self-control may effectively reduce PSU and exercise procrastination behaviors while promoting adherence to healthy behaviors among medical students.

摘要

背景

健康风险行为,如问题性智能手机使用(PSU)和体育锻炼不足,在大学生中很普遍。鉴于健康风险行为可能会影响医学生的健康和未来职业表现,本研究聚焦于医学生。具体而言,该研究旨在通过网络分析探索PSU、运动拖延及其共同的风险因素——自我控制之间的关系。

方法

共有917名本科生(年龄=19.23±1.18岁,63.58%为女性)完成了智能手机成瘾量表简版、运动拖延量表和简短自我控制量表。网络分析用于在项目层面检验PSU、运动拖延和自我控制之间的关联。

结果

PSU、运动拖延和自我控制形成了一个稳定的网络结构,且显著相关。具体而言,PSU与运动拖延呈正相关,且二者均与自我控制呈显著负相关。自我控制可能是PSU和运动拖延之间的中间桥梁。

结论

未来,针对自我控制的干预措施可能会有效减少医学生的PSU和运动拖延行为,同时促进他们坚持健康行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/fcabe5f9e062/40359_2025_3051_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/d3b4736cef22/40359_2025_3051_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/0abd18e1a656/40359_2025_3051_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/fcabe5f9e062/40359_2025_3051_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/d3b4736cef22/40359_2025_3051_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/0abd18e1a656/40359_2025_3051_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f73/12220067/fcabe5f9e062/40359_2025_3051_Fig3_HTML.jpg

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