Kumari Rashmi, Langer Bhavna, Gupta Riya, Gupta Rajiv K, Mir Mehak T, Shafi Basrat, Kour Taswinder, Raina Sunil K
Department of Community Medicine, GMC, Jammu, Jammu and Kashmir, India.
Department of Ophthalmology, GMC, Jammu, Jammu and Kashmir, India.
J Family Med Prim Care. 2022 Jan;11(1):325-329. doi: 10.4103/jfmpc.jfmpc_991_21. Epub 2022 Jan 31.
With ever-increasing digitization, the internet has intertwined into the daily lives of users to a large extent. It holds tremendous educational benefits to college students; however, its excessive usage can lead to addiction and even psychological morbidities.
To determine the prevalence of internet addiction and its association with various factors including depression, anxiety, and stress.
A cross-sectional study was conducted among undergraduate students of two professional colleges, i.e., medical and engineering colleges in the Jammu region. A pre-tested, semi-structured questionnaire was used to elicit the information regarding socio-demographic and personal details of students. Young's internet addiction scale was used to assess internet addiction, whereas the DASS 42 scale was used to measure depression, anxiety, and stress. Data thus collected were analyzed using the PSPP software.
A total of 480 students constituted the study population. The prevalence of internet addiction was found to be 78.7%, with a significantly higher prevalence seen among the male students in comparison to females ( < 0.005). A significantly positive correlation of internet addiction was found with depression, anxiety, and stress.
Internet addiction is significantly associated with psychopathology among the respondents. In this context, there is an urgent need to develop effective strategies for the prevention of internet addiction by promoting awareness among the students.
随着数字化程度的不断提高,互联网在很大程度上已融入用户的日常生活。它对大学生具有巨大的教育益处;然而,过度使用互联网会导致成瘾甚至心理疾病。
确定互联网成瘾的患病率及其与包括抑郁、焦虑和压力在内的各种因素的关联。
在查谟地区的两所专业学院,即医学院和工程学院的本科生中进行了一项横断面研究。使用预先测试的半结构化问卷来获取有关学生社会人口统计学和个人详细信息。使用杨氏互联网成瘾量表评估互联网成瘾,而使用DASS 42量表测量抑郁、焦虑和压力。使用PSPP软件对收集到的数据进行分析。
共有480名学生构成研究人群。发现互联网成瘾的患病率为78.7%,与女性相比,男性学生的患病率显著更高(<0.005)。发现互联网成瘾与抑郁、焦虑和压力呈显著正相关。
在受访者中,互联网成瘾与精神病理学显著相关。在这种情况下,迫切需要通过提高学生的意识来制定有效的预防互联网成瘾的策略。