Predictors of Smartphone Usage Addiction among Health Sciences Students in Selected Universities in Kampala, Uganda.

The East African health research journal Pub Date : 2024-01-01 Epub Date: 2025-01-30 DOI:10.24248/eahrj.v8i3.811
Abdulmujeeb Babatunde Aremu, Ismail Bamidele Afolabi, Naziru Rashid
{"title":"Predictors of Smartphone Usage Addiction among Health Sciences Students in Selected Universities in Kampala, Uganda.","authors":"Abdulmujeeb Babatunde Aremu, Ismail Bamidele Afolabi, Naziru Rashid","doi":"10.24248/eahrj.v8i3.811","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Globally, smartphone use among university students is expanding at an exponential rate, and its lingering addiction has now become a global issue, causing some emotional comprehension issues that can lead to significant consequences. Hence, this study aimed to assess the magnitude of smartphone addiction (overuse) and its predictors among health sciences students at selected universities in Kampala, Uganda.</p><p><strong>Methodology: </strong>An online-based descriptive cross-sectional study design was employed for this study among 308 students of health sciences in Ugandan universities. A three-sectioned, pretested, and validated questionnaire was used to capture data on socio-demographic attributes and smartphone use habits from the respondents. The data were analysed using IBM SPSS version 26. The outcome variable (i.e., smartphone addiction) was transformed into a weighted aggregate score prior to dichotomisation. Analysis of variance, chi-square test of independence, and binary logistic regression analysis were employed for the study hypotheses, and the significance level was set at <i>P</i> ≤.05.</p><p><strong>Results: </strong>The prevalence of smartphone addiction was found to be 53.9%. Female respondents were predominant, 179 (58.1%), and relatively three-quarters of the respondents, 237 (76.9%), were unmarried. The smartphone addiction score among the respondents was 16.13 (95% confidence interval [CI], 15.49 to 16.78) on a maximum reference scale of 30. At the multivariable model, daily time spent using a smartphone (AOR 0.40; 95% CI, 0.23 to 0.69) and the onset of smartphone use (AOR 0.55, 95% CI, 0.31 to 0.97) were identified as the significant independent predictors of smartphone addiction.</p><p><strong>Conclusion: </strong>This study reported a high prevalence of smartphone addiction among the sampled health sciences students in Ugandan universities. The most significant predictors of smartphone addiction include the number of hours spent on a smartphone daily and the onset of smartphone use. Given the negative health outcomes that this problem may evoke, this study calls for targeted health education intervention to enhance self-control skills, and to effectively tackle smartphone addiction among university students in Uganda.</p>","PeriodicalId":74991,"journal":{"name":"The East African health research journal","volume":"8 3","pages":"409-416"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12083722/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The East African health research journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24248/eahrj.v8i3.811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/30 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Globally, smartphone use among university students is expanding at an exponential rate, and its lingering addiction has now become a global issue, causing some emotional comprehension issues that can lead to significant consequences. Hence, this study aimed to assess the magnitude of smartphone addiction (overuse) and its predictors among health sciences students at selected universities in Kampala, Uganda.

Methodology: An online-based descriptive cross-sectional study design was employed for this study among 308 students of health sciences in Ugandan universities. A three-sectioned, pretested, and validated questionnaire was used to capture data on socio-demographic attributes and smartphone use habits from the respondents. The data were analysed using IBM SPSS version 26. The outcome variable (i.e., smartphone addiction) was transformed into a weighted aggregate score prior to dichotomisation. Analysis of variance, chi-square test of independence, and binary logistic regression analysis were employed for the study hypotheses, and the significance level was set at P ≤.05.

Results: The prevalence of smartphone addiction was found to be 53.9%. Female respondents were predominant, 179 (58.1%), and relatively three-quarters of the respondents, 237 (76.9%), were unmarried. The smartphone addiction score among the respondents was 16.13 (95% confidence interval [CI], 15.49 to 16.78) on a maximum reference scale of 30. At the multivariable model, daily time spent using a smartphone (AOR 0.40; 95% CI, 0.23 to 0.69) and the onset of smartphone use (AOR 0.55, 95% CI, 0.31 to 0.97) were identified as the significant independent predictors of smartphone addiction.

Conclusion: This study reported a high prevalence of smartphone addiction among the sampled health sciences students in Ugandan universities. The most significant predictors of smartphone addiction include the number of hours spent on a smartphone daily and the onset of smartphone use. Given the negative health outcomes that this problem may evoke, this study calls for targeted health education intervention to enhance self-control skills, and to effectively tackle smartphone addiction among university students in Uganda.

乌干达坎帕拉选定大学健康科学专业学生智能手机使用成瘾的预测因素。
背景:在全球范围内,大学生使用智能手机的人数正以指数级速度增长,对智能手机的沉迷已成为一个全球性问题,导致一些情感理解问题,可能导致严重后果。因此,本研究旨在评估乌干达坎帕拉选定大学健康科学专业学生中智能手机成瘾(过度使用)的程度及其预测因素。方法:本研究采用基于在线的描述性横断面研究设计,对308名乌干达大学健康科学专业的学生进行了研究。一份由三部分组成、经过预先测试和验证的问卷被用来从受访者那里获取有关社会人口统计属性和智能手机使用习惯的数据。采用IBM SPSS version 26对数据进行分析。结果变量(即智能手机成瘾)在二分类之前被转换为加权总分。研究假设采用方差分析、卡方独立性检验和二元logistic回归分析,显著性水平P≤0.05。结果:智能手机成瘾的患病率为53.9%。女性受访者占主导地位,179人(58.1%),相对四分之三的受访者237人(76.9%)未婚。受访者的智能手机成瘾得分为16.13分(95%可信区间[CI], 15.49 ~ 16.78),最大参考量表为30分。在多变量模型中,每天使用智能手机的时间(AOR 0.40;95% CI, 0.23至0.69)和智能手机使用的开始(AOR 0.55, 95% CI, 0.31至0.97)被确定为智能手机成瘾的重要独立预测因子。结论:本研究报告了乌干达大学健康科学专业学生中智能手机成瘾的高患病率。智能手机成瘾最重要的预测指标包括每天花在智能手机上的时间和开始使用智能手机的时间。鉴于这个问题可能引起的负面健康结果,本研究呼吁有针对性的健康教育干预,以提高自我控制技能,并有效地解决乌干达大学生中的智能手机成瘾问题。
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:604180095
Book学术官方微信