Smartphone dependence predicts poorer mental health outcomes, eating behaviors, activity levels, and body image: A cluster analysis of Brazilian university students.

Karen Rodrigues Lima, Bárbara Isabela Amorim, Débora Ribeiro Orlando, Luciano José Pereira, Paula Midori Castelo, Eric Francelino Andrade
{"title":"Smartphone dependence predicts poorer mental health outcomes, eating behaviors, activity levels, and body image: A cluster analysis of Brazilian university students.","authors":"Karen Rodrigues Lima, Bárbara Isabela Amorim, Débora Ribeiro Orlando, Luciano José Pereira, Paula Midori Castelo, Eric Francelino Andrade","doi":"10.47626/2237-6089-2024-0904","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Excessive smartphone use has been linked to mental health impairments and may potentially alter human behavior. These effects are particularly pronounced among young individuals, with university students being especially susceptible to the negative influences of smartphone use.</p><p><strong>Methods: </strong>This observational, cross-sectional study was conducted in a sample of 781 Brazilian university students. We assessed socio-economic variables, smartphone addiction, depression, anxiety, stress outcomes, eating behavior, body image satisfaction, and self-reported physical activity. MANOVA and Chi-square tests were performed to compare continuous and categorical variables between genders. K-means clustering was used to identify participant profiles based on various self-reported variables, with differences between clusters validated using the Z-test and the silhouette coefficient.</p><p><strong>Results: </strong>Three clusters were identified. Cluster 1 featured participants with a significant disparity between their perceived and desired body image, higher scores on eating disorders, smartphone addiction, and mental health questionnaires, and lower engagement in physical exercise. Cluster 2 consisted of older participants who scored lower on smartphone addiction and mental health with a higher body mass index. Cluster 3 included younger participants with a smaller silhouette scale disparity, lower eating disorder scores, and lower body mass index. Smartphone addiction showed significant associations with eating disorders in overall eating disorders classification (X²=13.4; p<0.001), bulimic behavior (X²=20.0; p<0.001), and social pressure to eat (X²=4.3; p<0.001). It also negatively correlated with physical exercise (X²=5.7; p=0.017), but not with dieting concerns (X²=0.23; p=0.688).</p><p><strong>Conclusion: </strong>Smartphone addiction is associated with eating disorders, stress, depression, anxiety, and lower levels of physical activity.</p>","PeriodicalId":46305,"journal":{"name":"Trends in Psychiatry and Psychotherapy","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Psychiatry and Psychotherapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47626/2237-6089-2024-0904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Excessive smartphone use has been linked to mental health impairments and may potentially alter human behavior. These effects are particularly pronounced among young individuals, with university students being especially susceptible to the negative influences of smartphone use.

Methods: This observational, cross-sectional study was conducted in a sample of 781 Brazilian university students. We assessed socio-economic variables, smartphone addiction, depression, anxiety, stress outcomes, eating behavior, body image satisfaction, and self-reported physical activity. MANOVA and Chi-square tests were performed to compare continuous and categorical variables between genders. K-means clustering was used to identify participant profiles based on various self-reported variables, with differences between clusters validated using the Z-test and the silhouette coefficient.

Results: Three clusters were identified. Cluster 1 featured participants with a significant disparity between their perceived and desired body image, higher scores on eating disorders, smartphone addiction, and mental health questionnaires, and lower engagement in physical exercise. Cluster 2 consisted of older participants who scored lower on smartphone addiction and mental health with a higher body mass index. Cluster 3 included younger participants with a smaller silhouette scale disparity, lower eating disorder scores, and lower body mass index. Smartphone addiction showed significant associations with eating disorders in overall eating disorders classification (X²=13.4; p<0.001), bulimic behavior (X²=20.0; p<0.001), and social pressure to eat (X²=4.3; p<0.001). It also negatively correlated with physical exercise (X²=5.7; p=0.017), but not with dieting concerns (X²=0.23; p=0.688).

Conclusion: Smartphone addiction is associated with eating disorders, stress, depression, anxiety, and lower levels of physical activity.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对智能手机的依赖预示着较差的心理健康结果、饮食行为、活动水平和身体形象:对巴西大学生的聚类分析。
简介过度使用智能手机与心理健康受损有关,并可能改变人类行为。这些影响在年轻人中尤为明显,大学生尤其容易受到智能手机使用的负面影响:这项观察性横断面研究以 781 名巴西大学生为样本。我们评估了社会经济变量、智能手机成瘾、抑郁、焦虑、压力结果、饮食行为、身体形象满意度和自我报告的体育活动。我们采用 MANOVA 和卡方检验来比较性别间的连续变量和分类变量。根据各种自我报告的变量,采用 K-均值聚类来识别参与者的特征,并通过 Z 检验和剪影系数来验证聚类之间的差异:结果:确定了三个聚类。聚类 1 的特征是参与者感知的身体形象与期望的身体形象之间存在显著差异,饮食失调、智能手机成瘾和心理健康问卷得分较高,参与体育锻炼的比例较低。第二组由年龄较大的参与者组成,他们在智能手机成瘾和心理健康方面得分较低,但体重指数较高。第 3 组包括较年轻的参与者,他们的剪影量表差异较小,饮食失调得分较低,体重指数较低。在整个饮食失调分类中,智能手机成瘾与饮食失调有明显的关联(X²=13.4;p结论:智能手机成瘾与饮食失调有明显的关联:智能手机成瘾与饮食失调、压力、抑郁、焦虑和较低的体育锻炼水平有关。
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 去求助
来源期刊
CiteScore
4.40
自引率
0.00%
发文量
32
审稿时长
13 weeks
期刊介绍: Information not localized
期刊最新文献
Clinical Staging of Alcohol Use Disorder: Proposal of a New Stratified Approach. Smartphone dependence predicts poorer mental health outcomes, eating behaviors, activity levels, and body image: A cluster analysis of Brazilian university students. A transdiagnostic model to prevention in mental and behavioral disorders: a comprehensive review and delineation of a new proposal. Assessing Mental Health During an Extreme Weather Event in Southern Brazil. Diagnosis of Mental Disorders in Caregivers of Patients with Bipolar Disorder: A Gap in the Scientific Literature.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1