Effects of physical activity and self-control on mobile phone addiction in college students: a cross-lagged study in China

Qinghe Wang, Yanke Chen, Lan Li
{"title":"Effects of physical activity and self-control on mobile phone addiction in college students: a cross-lagged study in China","authors":"Qinghe Wang, Yanke Chen, Lan Li","doi":"10.3389/fpsyg.2024.1417379","DOIUrl":null,"url":null,"abstract":"This study aims to investigate the impact of physical activity and self-control on college students' mobile phone addiction through cross-lagged longitudinal surveys, addressing the limitations of previous cross-sectional studies.A total of 414 college students were tracked three times during a 12-month period using the Physical Activity Rating Scale-3 (PARS-3), the Mobile Phone Addiction Tendency Scale (MPATS), and the Brief Self-Control Scale (BSCS). AMOS25.0 software was used to construct the cross-lagged relationship model, and the maximum likelihood approach was employed to investigate the model fitting. The asynchronous correlation between variables was investigated from the time series through the cross-lagged path coefficient.The fitting indexes of the cross-lagged model showed x2/df = 5.098, GFI = 0.977, NFI = 0.969, IFI = 0.975, CFI = 0.974; RMSEA = 0.100, and SRMR = 0.030. The calculation conducted by combining the path coefficient of the model shows that PA and SC are the antecedent variables of MPA, and PA is the antecedent variable of SC. In addition, SC serves as a mediator in the path of PA, affecting MPA.(1) physical activity can positively affect subsequent self-control; (2) physical activity can negatively influence subsequent mobile phone addiction; (3) self-control can negatively affect subsequent mobile phone addiction; and (4) physical activity can indirectly influence subsequent mobile phone addiction through self-control.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"105 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fpsyg.2024.1417379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study aims to investigate the impact of physical activity and self-control on college students' mobile phone addiction through cross-lagged longitudinal surveys, addressing the limitations of previous cross-sectional studies.A total of 414 college students were tracked three times during a 12-month period using the Physical Activity Rating Scale-3 (PARS-3), the Mobile Phone Addiction Tendency Scale (MPATS), and the Brief Self-Control Scale (BSCS). AMOS25.0 software was used to construct the cross-lagged relationship model, and the maximum likelihood approach was employed to investigate the model fitting. The asynchronous correlation between variables was investigated from the time series through the cross-lagged path coefficient.The fitting indexes of the cross-lagged model showed x2/df = 5.098, GFI = 0.977, NFI = 0.969, IFI = 0.975, CFI = 0.974; RMSEA = 0.100, and SRMR = 0.030. The calculation conducted by combining the path coefficient of the model shows that PA and SC are the antecedent variables of MPA, and PA is the antecedent variable of SC. In addition, SC serves as a mediator in the path of PA, affecting MPA.(1) physical activity can positively affect subsequent self-control; (2) physical activity can negatively influence subsequent mobile phone addiction; (3) self-control can negatively affect subsequent mobile phone addiction; and (4) physical activity can indirectly influence subsequent mobile phone addiction through self-control.
体育锻炼和自我控制对大学生手机成瘾的影响:一项在中国进行的交叉滞后研究
本研究旨在针对以往横断面研究的局限性,通过跨滞后纵向调查研究体育锻炼和自控力对大学生手机成瘾的影响。本研究在12个月的时间内,使用体育锻炼评分量表-3(PARS-3)、手机成瘾倾向量表(MPATS)和简明自控力量表(BSCS)对414名大学生进行了三次追踪调查。使用 AMOS25.0 软件构建交叉滞后关系模型,并采用最大似然法研究模型拟合情况。交叉滞后模型的拟合指标为 x2/df = 5.098,GFI = 0.977,NFI = 0.969,IFI = 0.975,CFI = 0.974;RMSEA = 0.100,SRMR = 0.030。结合模型的路径系数计算可知,PA 和 SC 是 MPA 的前因变量,PA 是 SC 的前因变量。此外,SC 在 PA 的路径中起中介作用,影响 MPA。(1)体育锻炼可以正向影响后续的自我控制;(2)体育锻炼可以负向影响后续的手机成瘾;(3)自我控制可以负向影响后续的手机成瘾;(4)体育锻炼可以通过自我控制间接影响后续的手机成瘾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信