Prevalence of internet addiction and its relationship with disordered eating among medical college students in south India: a cross-sectional study

B. Dorai, Sanila Sara Alex, C. Pradeep
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Abstract

Background: The easy availability of various gadgets with the provision of faster internet at affordable prices has exponentially increased internet usage in the past few years. This study aimed to estimate the prevalence of internet addiction and describe its association with disordered eating in medical college students. Methods: This cross-sectional study was conducted on 300 medical college students in south India. After obtaining ethical clearance and informed consent, students were given a questionnaire containing sociodemographic variables, Young's Internet Addiction Test (IAT), and Eating Attitudes Test questionnaires (EAT). Descriptive analysis was carried out by mean and standard deviation for quantitative variables, frequency, and proportion for categorical variables. Categorical outcomes were compared between study groups using the chi-square test. Univariate binary logistic regression analysis was performed to test the association between the variables. Results: The prevalence of internet addiction was 46.7% in this study. Disordered eating was found to be 12.3% in medical students. Internet addiction was observed to be more in the younger age group. (P <0.001) A significant association was obtained between internet addiction and disordered eating. (P <0.05). Conclusion: Nearly half of the medical students in this study were addicted to the internet, and disordered eating was also high among medical students. A closer look into the aspects like internet addiction and eating disorders is required, as these may silently impact the life and productivity of the budding doctors.
网络成瘾的流行及其与印度南部医学院学生饮食失调的关系:一项横断面研究
背景:在过去的几年里,各种各样的小工具都很容易获得,并且以可承受的价格提供更快的互联网,这使得互联网的使用呈指数级增长。本研究旨在估计医学生网络成瘾的流行程度,并描述其与饮食失调的关系。方法:对印度南部300名医科大学生进行横断面研究。在获得道德许可和知情同意后,给学生一份包含社会人口学变量的问卷,杨氏网络成瘾测试(IAT)和饮食态度测试问卷(EAT)。定量变量采用均值和标准差,分类变量采用频率和比例进行描述性分析。使用卡方检验比较各组间的分类结果。采用单因素二元logistic回归分析检验各变量之间的相关性。结果:本研究网络成瘾患病率为46.7%。医学生中饮食失调的比例为12.3%。据观察,网瘾在年轻人群中更为普遍。(P <0.001)网络成瘾与饮食失调之间存在显著相关性。(P < 0.05)。结论:本研究近半数医学生存在网络成瘾,饮食失调发生率较高。我们需要对网瘾和饮食失调等方面进行更深入的研究,因为这些问题可能会悄悄地影响到刚出道的医生的生活和工作效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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