Rao Rajath, Verma Manisha, Singh C M, Nirala Santosh K, Naik Bijaya N
Department of Community and Family Medicine, All India Institute of Medical Sciences, Patna, Bihar, India.
J Educ Health Promot. 2023 Aug 31;12:286. doi: 10.4103/jehp.jehp_1663_22. eCollection 2023.
Excess use of the internet and gadgets for learning, gaming, and socialization has resulted in addictive behavior and nomophobia, especially among college-going students. Thus, this study was designed to find out the proportion and predictors of internet addiction and nomophobia among medical undergraduates.
This cross-sectional study conducted on 367 medical undergraduates of a teaching hospital was carried out using a standard tool: the Internet Addiction Test Short Form for screening internet addiction and the Nomophobia Questionnaire for nomophobia. Results were tabulated and multivariable binomial logistic regression analysis was performed to find out the predictors of internet addiction and nomophobia.
A total of 116 (31.6%, 95% CI: 27%-36.5%) students were addicted to the internet and 247 (67.3%, 95% CI: 62.3%-71.9%) were screened to have moderate-to-severe nomophobia. The age of the student (adjusted odds ratio (AOR): 0.83 [0.69-0.99]), male gender (AOR: 2.24 [1.33-3.79]), screen time (AOR: 1.24 [1.14-1.34]), checking the phone first in the morning (AOR: 1.98 [1.107-3.54]), non-leisure time usage of phone (AOR: 2.07 [1.25-3.4]), and altered reading habit (AOR: 2.51 [1.26-5.01]) were independent predictors of internet addiction. Increased screen time (AOR: 1.103 [1.016-1.23]), checking the phone first in the morning after waking up (AOR: 1.68 [1.05-2.81]), altered academic performance (AOR: 1.99 [1.079-3.68]), and presence of internet addiction (AOR: 8.17 [3.56-18.76]) were independent predictors of moderate-to-severe nomophobia among medical students.
One and two out of every three medical students were found to have internet addiction and moderate-to-severe nomophobia, respectively. Increased screen time, altered academic performance, and the presence of internet addiction were independent predictors of moderate-to-severe nomophobia.
过度使用互联网和电子设备进行学习、游戏和社交已导致成瘾行为和无手机恐惧症,尤其是在大学生中。因此,本研究旨在查明医学本科生中网络成瘾和无手机恐惧症的比例及预测因素。
本横断面研究对一家教学医院的367名医学本科生进行,使用标准工具:用于筛查网络成瘾的《网络成瘾测试简表》和用于筛查无手机恐惧症的《无手机恐惧症问卷》。结果列表,并进行多变量二项逻辑回归分析以找出网络成瘾和无手机恐惧症的预测因素。
共有116名(31.6%,95%置信区间:27%-36.5%)学生网络成瘾,247名(67.3%,95%置信区间:62.3%-71.9%)经筛查有中度至重度无手机恐惧症。学生年龄(调整优势比(AOR):0.83[0.69-0.99])、男性(AOR:2.24[1.33-3.79])、屏幕使用时间(AOR:1.24[1.14-1.34])、早上首先查看手机(AOR:1.98[1.107-3.54])、非休闲时间使用手机(AOR:2.07[1.25-3.4])以及阅读习惯改变(AOR:2.51[1.26-5.01])是网络成瘾的独立预测因素。屏幕使用时间增加(AOR:1.103[1.016-1.23])、醒来后早上首先查看手机(AOR:1.68[1.05-2.81])、学业成绩改变(AOR:1.99[1.079-3.68])以及存在网络成瘾(AOR:8.17[3.56-18.76])是医学生中度至重度无手机恐惧症的独立预测因素。
每三名医学生中分别有一名和两名被发现有网络成瘾和中度至重度无手机恐惧症。屏幕使用时间增加、学业成绩改变以及存在网络成瘾是中度至重度无手机恐惧症的独立预测因素。