2019冠状病毒病疫情期间内蒙古医科大学学生智能手机成瘾与心理健康的关系

Longlong Zhao, Nuchanad Hounnaklang
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引用次数: 2

摘要

目的:了解新冠肺炎流行期间内蒙古医科大学大学生智能手机成瘾状况与心理健康状况,探讨内蒙古医科大学大学生心理健康状况与智能手机成瘾的关系。方法:在内蒙古医科大学随机抽取5个学院,每个学院随机抽取100名本科生。对500名学生进行问卷调查,包括人口统计学特征、智能手机使用行为、智能手机使用简易量表(SAS-SV)(10题)、新冠肺炎期间的生活体验、抑郁焦虑压力量表(DASS-21)(21题)。单变量逻辑回归分析采用二元逻辑回归来探讨因变量和自变量之间关系的性质和显著性。将显著因素放入多变量logistic回归模型中,控制任何可能的混杂因素,提出智能手机成瘾与抑郁、焦虑、压力显著相关的因素。结果:问卷调查中男性占33.6%,女性占66.4%,年龄范围为18 ~ 28岁。几乎277名(55.4%)参与者可以被认为是智能手机成瘾,233名(44.6%)参与者不能被认为是智能手机成瘾有抑郁(21.0%)、焦虑(153人,30.6%)、压力(69人,13.8%)。智能手机成瘾(OR=4.53),与非智能手机成瘾相比,成瘾与抑郁呈正相关,智能手机成瘾者抑郁风险是非智能手机成瘾者的4.53倍。智能手机成瘾(OR=6.47),与非智能手机成瘾者相比,成瘾与焦虑呈正相关,智能手机成瘾者的焦虑风险是非智能手机成瘾者的6.47倍。智能手机成瘾(OR=4.05),与非智能手机成瘾者相比,成瘾与压力呈正相关,智能手机成瘾者的压力风险是非智能手机成瘾者的4.05倍。结论:内蒙古医科大学大学生智能手机成瘾现象较为普遍。本研究还确定了内蒙古医科大学大学生智能手机成瘾与心理健康的关系。这些结果表明,需要采取干预措施减少内蒙古医科大学大学生的智能手机成瘾,以改善其心理健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between Smartphone Addiction and Mental Health during the COVID-19 Pandemic 2021 among Inner Mongolia Medical University Students, China
Objective: The purpose of this study was to understand the status of smartphone addiction and mental health of Undergraduates in Inner Mongolia Medical University during the period of the prevalence of COVID-19, and to explore the relationship between the mental health status and smartphone addiction of Undergraduates in Inner Mongolia Medical University. Methodology: Five colleges were randomly selected from Inner Mongolia Medical University, and 100 undergraduate students were randomly selected from each college. A total of 500 students were investigated by questionnaire, including demographic characteristics, smartphone use behaviors, smartphone addition scale: Short Version (SAS-SV) (10 questions), life experience during COVID-19, Depression Anxiety Stress Scales (DASS-21) 21 questions. Univariate logistic regression analysis used binary logistical regression to explore the nature and significance of the relationship between dependent and independent variables. After putting the significant factors into multivariable logistic regression models to control any possible confounding factors, the factors significantly related to smartphone addiction and depression, anxiety, stress were proposed. Results: In the questionnaire survey (33.6% of males and 66.4% of females), the age range was 18 to 28 years old. Almost 277(55.4%) participants can be considered as smartphone addiction,233(44.6%) participants cannot be considered smartphone addiction.105 (21.0%) considered having depression, 153 (30.6%) had anxiety and 69 (13.8%) had stress. Smartphone addiction (OR=4.53), compared with non-addiction, addiction has a positive correlation with the depression the depression risk of smartphone addicts is 4.53 times that of non-smartphone addicts. smartphone addiction (OR=6.47), compared with non-addiction, addiction has a positive correlation with the anxiety the anxiety risk of smartphone addicts is 6.47 times that of non-smartphone addicts. Smartphone addiction (OR=4.05), compared with non-addiction, addiction has a positive correlation with the stress the stress risk of smartphone addicts is 4.05 times that of non-smartphone addicts. Conclusion: Smartphone addiction is very common among the undergraduates of Inner Mongolia Medical University. This study also determined the association between smartphone addiction and mental health of the undergraduates of Inner Mongolia Medical University. These results indicate that intervention measures need to be taken to reduce the smartphone addiction of Undergraduates of Inner Mongolia Medical University to improve their mental health.
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