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互联网成瘾对阿尔伯兹省学生高危行为及总体健康状况的预测作用:一项结构方程模型研究

The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model.

作者信息

Toozandehjani Azam, Mahmoodi Zohreh, Rahimzadeh Mitra, Jashni Motlagh Alireza, Akbari Kamrani Mahnaz, Esmaelzadeh Saeieh Sara

机构信息

Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran.

Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.

出版信息

Heliyon. 2021 May 12;7(5):e06987. doi: 10.1016/j.heliyon.2021.e06987. eCollection 2021 May.

DOI:10.1016/j.heliyon.2021.e06987
PMID:34036189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8134985/
Abstract

BACKGROUND

Internet addiction has become more prevalent in Adolescents. Some adolescents who tend to use Internet excessively have a poorer health status, and engage in more risky behaviors than others. Therefore, the aim of this study was to investigate the predictor role of Internet addiction in high- risk behaviors and the general health status among adolescences.

METHODS

This was a descriptive-analytical study of structural equation modeling, conducted on 300 students of Alborz University of Medical Sciences. The multi-stage sampling method was used to identify the number of students aged 19-21 years studying in each faculty in the first stage and convenience sampling was used in the second stage. Data were collected using Iranian Adolescents Risk-taking Scale (IARS), the General Health Questionnaire (GHQ-28) and the Young's Internet Addiction Test (YIAT). The data were analyzed using LISREL version 8.8.

RESULTS

The results of the measurement model using LISREL software showed a goodness of fit for the conceptual model. Internet addiction had a significant direct positive effect on the adolescents' high-risk behaviors (β = 0.17). Also, Internet addiction had a significant positive effect on the adolescents' general health status (β = 0.33) and general health problems increased by 0.33 per unit of Internet use. The result of structural model revealed no significant effects of general health on high-risk behaviors. Based on the value of the variance determined, Internet addiction could predict 11% of general health. Also, general health and Internet addiction together could predict 2.7% of high- risk behaviors.

CONCLUSION

Given the effect of Internet addiction on the general health and high-risk behavior, it is recommended that adolescents will be screened about internet addiction and the necessary training is given to the adolescents on the appropriate use of Internet. All necessary information should be given to the parents regarding Internet risks and dangers.

摘要

背景

网络成瘾在青少年中变得越来越普遍。一些倾向于过度使用互联网的青少年健康状况较差,且比其他人参与更多危险行为。因此,本研究的目的是调查网络成瘾在青少年高危行为和总体健康状况中的预测作用。

方法

这是一项对300名阿尔伯兹医科大学学生进行的结构方程模型描述性分析研究。第一阶段采用多阶段抽样方法确定各学院19 - 21岁学生的数量,第二阶段采用便利抽样。使用伊朗青少年冒险量表(IARS)、一般健康问卷(GHQ - 28)和杨氏网络成瘾测试(YIAT)收集数据。使用LISREL 8.8版软件对数据进行分析。

结果

使用LISREL软件的测量模型结果显示概念模型拟合良好。网络成瘾对青少年的高危行为有显著的直接正向影响(β = 0.17)。此外,网络成瘾对青少年的总体健康状况有显著正向影响(β = 0.33),每单位互联网使用量的增加会使总体健康问题增加0.33。结构模型结果显示总体健康对高危行为无显著影响。根据确定的方差值,网络成瘾可预测11%的总体健康状况。此外,总体健康和网络成瘾共同可预测2.7%的高危行为。

结论

鉴于网络成瘾对总体健康和高危行为的影响,建议对青少年进行网络成瘾筛查,并就互联网的合理使用对青少年进行必要培训。应向家长提供有关互联网风险和危险的所有必要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e8/8134985/f54daa431d71/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e8/8134985/c332c839cc4b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e8/8134985/f54daa431d71/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e8/8134985/c332c839cc4b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e8/8134985/f54daa431d71/gr2.jpg

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