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农村青少年手机成瘾与焦虑症状的网络结构。

Network structure of mobile phone addiction and anxiety symptoms among rural Chinese adolescents.

机构信息

School of Public Health, Xuzhou Medical University, 209 Tong Shan Road, 221004, Xuzhou, Jiangsu, China.

Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, China.

出版信息

BMC Psychiatry. 2023 Jul 10;23(1):491. doi: 10.1186/s12888-023-04971-x.

Abstract

BACKGROUND

The incidence of mobile phone addiction among adolescents in rural areas of China is increasing year by year, and has already exceeded that of some cities. And phone addiction increases the risk of anxiety and poor sleep. Therefore, this study used network analysis to investigate the relationship between mobile phone addiction and anxiety symptoms, and the predictability to sleep quality.

METHODS

From September 2021 to March 2022, a total of 1920 rural adolescents in Xuzhou, China were included. The survey included information on phone addiction, anxiety symptoms, and sleep quality. Network analysis was used to estimate the network structure of adolescents' mobile phone addiction and anxiety symptoms. LOWESS curve and linear regression were used to test the predictive ability of node-centrality on sleep quality.

RESULTS

In the network of mobile phone addiction-anxiety symptoms, the most influential symptoms were Failure to cut down the time, Anxiety if not used for some time, and Alleviate loneliness. Irritability was the most prominent bridging symptom. Gender difference had no effect on network structure. Nodes in the network are not predictive of sleep quality.

CONCLUSION

Failure to cut down the time is the most important symptom, suggesting that measures should be taken to reduce the amount of time spent on mobile phones. For example, increase outdoor exercise, increase the real company of friends and family, in order to reduce the occurrence of mobile phone addiction and anxiety.

摘要

背景

中国农村青少年的手机成瘾发生率逐年增加,已超过一些城市。手机成瘾会增加焦虑和睡眠质量差的风险。因此,本研究采用网络分析方法,探讨手机成瘾与焦虑症状之间的关系,以及对睡眠质量的预测性。

方法

2021 年 9 月至 2022 年 3 月,共纳入中国徐州 1920 名农村青少年。调查包括手机成瘾、焦虑症状和睡眠质量信息。采用网络分析方法估计青少年手机成瘾和焦虑症状的网络结构。使用 LOWESS 曲线和线性回归测试节点中心性对睡眠质量的预测能力。

结果

在手机成瘾-焦虑症状网络中,最具影响力的症状是无法减少使用时间、一段时间不使用就焦虑不安、缓解孤独感。易激惹是最突出的桥接症状。性别差异对网络结构没有影响。网络中的节点不能预测睡眠质量。

结论

无法减少使用时间是最重要的症状,这表明应采取措施减少手机使用时间。例如,增加户外活动、增加与朋友和家人的真实陪伴,以减少手机成瘾和焦虑的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7721/10332091/8d59e233e216/12888_2023_4971_Fig1_HTML.jpg

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