Glele Ahanhanzo Yolaine, Olatoundé Agnidé Ally Farid, Dansou Pleck, Sossa Jérôme Charles, Kpozehouen Alphonse, Sopoh Ghislain Emmanuel
Institut régional de santé publique, Département d’épidémiologie et de biostatistiques, Ouidah, Bénin.
Faculté des sciences de la santé, Université d’Abomey, Cotonou, Bénin.
Sante Publique. 2024 Apr 5;36(1):109-120. doi: 10.3917/spub.241.0109.
Nowadays, Internet addiction is a major concern due to the growing number of Internet users and the consequences associated with this addiction.
In this study, we aimed to determine the prevalence of and factors associated with Internet addiction among health sciences students at the University of Abomey-Calavi.
A cross-sectional study was conducted among 346 students from the Faculty of Health Sciences and the National Institute of Medical and Health Sciences at the University of Abomey-Calavi. Participants were selected using simple random sampling. Internet addiction was assessed using K. Young’s “Internet Addiction Test.” Logistic regression modeling was employed to explore factors associated with Internet addiction. The strength of the association was assessed using odds ratios; the confidence interval (CI) was 95%; and a p-value < 0.05 in the final model was considered significant.
The prevalence of Internet addiction was 31.8% (95% CI: [23.26% - 41.38%]). Factors associated with Internet addiction were the participant’s field of study, poor relationships with friends and family, communication difficulties, depression, and psychoactive substance consumption.
Evidence of Internet addiction exists among students in health sciences institutions in Benin. These findings can support the development of prevention and intervention strategies centered on addressing a public health issue that is still insufficiently recognized.
如今，由于互联网用户数量的不断增加以及与这种成瘾相关的后果，网络成瘾已成为一个主要问题。
在本研究中，我们旨在确定阿波美 - 卡拉维大学健康科学专业学生中网络成瘾的患病率及其相关因素。
对阿波美 - 卡拉维大学健康科学学院和国家医学与健康科学研究所的346名学生进行了横断面研究。参与者采用简单随机抽样选取。使用K. 杨的“网络成瘾测试”评估网络成瘾情况。采用逻辑回归模型探索与网络成瘾相关的因素。使用比值比评估关联强度；置信区间（CI）为95%；最终模型中p值<0.05被认为具有统计学意义。
网络成瘾的患病率为31.8%（95% CI：[23.26% - 41.38%]）。与网络成瘾相关的因素包括参与者的学习领域、与朋友和家人关系不佳、沟通困难、抑郁以及精神活性物质消费。
贝宁健康科学机构的学生中存在网络成瘾现象。这些发现可为制定以解决一个仍未得到充分认识的公共卫生问题为中心的预防和干预策略提供支持。
