Division of Social Pediatrics, Department of Pediatrics, Faculty of Medicine, Ankara University, Ankara, Turkey.
Department of Public Health, Faculty of Medicine, Pamukkale University, Denizli, Turkey.
Child Adolesc Ment Health. 2023 Feb;28(1):117-123. doi: 10.1111/camh.12626. Epub 2022 Dec 10.
This study examines the frequency of problematic internet use and sleep problems in adolescents aged 14-18 years during the COVID-19 pandemic and identifies the impact of factors such as sociodemographic characteristics, internet habits, changes in daily life, and perceived social support on these problems.
This multicentre study was a questionnaire-based online survey study. The questionnaire included the Young Internet Addiction Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Scale of Perceived Social Support, as well as questions about demographic information, internet habits, and changes in daily life during pandemic. Several multivariate Backward logistic regression models were run to determine the variables that predicted problematic internet use and poor sleep quality.
It was determined that the frequency of problematic internet use was 15.5%, and the frequency of poor sleep quality was 47.8%. Poor sleep quality was found 2.5 times higher in problematic internet users. The perceived social support was found insufficient in adolescents with problematic internet use and poor sleep quality. Various factors such as the excessive use of internet and social media, low school success, lack of physical activity, lack of rules for internet use at home, and worsening of relationships with parents were found to be predictive factors for these problems.
Problematic internet use during the pandemic is associated with worsening sleep quality in adolescents. It is important to create special interventions for problematic internet use and sleep problems that develop in adolescents as a result of restrictions during the pandemic.
本研究调查了 COVID-19 大流行期间 14-18 岁青少年中问题性互联网使用和睡眠问题的频率,并确定了社会人口特征、互联网习惯、日常生活变化和感知社会支持等因素对这些问题的影响。
这是一项多中心的基于问卷的在线调查研究。问卷包括青少年网络成瘾量表、匹兹堡睡眠质量指数和多维感知社会支持量表,以及关于人口统计学信息、互联网习惯和大流行期间日常生活变化的问题。进行了几个多元向后逻辑回归模型,以确定预测问题性互联网使用和睡眠质量差的变量。
发现问题性互联网使用的频率为 15.5%,睡眠质量差的频率为 47.8%。问题性互联网使用者的睡眠质量差的频率高 2.5 倍。在有问题性互联网使用和睡眠质量差的青少年中,感知到的社会支持不足。发现各种因素,如互联网和社交媒体的过度使用、学业成绩不佳、缺乏体育活动、在家中缺乏互联网使用规则以及与父母关系恶化,是这些问题的预测因素。
大流行期间的问题性互联网使用与青少年睡眠质量恶化有关。为了应对大流行期间青少年因限制而出现的问题性互联网使用和睡眠问题,制定专门的干预措施非常重要。