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网络成瘾障碍与心理健康素养:韩国青少年的潜在类别分析

Internet Gaming Disorder and Mental Health Literacy: A Latent Profile Analysis of Korean Adolescents.

作者信息

Yoon Jiyoung, Chun JongSerl, Bhang Soo-Young

机构信息

Department of Social Welfare, Ewha Womans University, Seoul, Republic of Korea.

Department of Psychiatry, Nowon Eulji University Hospital, Eulji University School of Medicine, Seoul, Republic of Korea.

出版信息

Psychiatry Investig. 2024 Mar;21(3):300-310. doi: 10.30773/pi.2023.0303. Epub 2024 Mar 25.

Abstract

OBJECTIVE

This study identified latent subtypes of mental health literacy (MHL) for Internet gaming disorder (IGD) and explored their characteristics and differences in various factors in adolescents.

METHODS

This study analyzed secondary data from the 2019 Youth Smart Digital Media Survey and included data from 1,936 middle and high school students (14-18 years old). Thirteen items of the MHL questionnaire were used for latent profile analysis. We compared the characteristics and predictors of the identified types using various statistical analyses, including one-way ANOVA, chi-square test, and multinomial logistic regression.

RESULTS

We identified three subtypes of MHL for IGD in adolescents: "low perception-prefer informal resources," "moderate perception-preferred resources unclear," and "high perception-prefer professional resources." Subtypes showed significant differences in sex, age, family affluence, e-learning time during weekdays, mental health risks, level of problematic smartphone use, and IGD. All variables except IGD predicted one or more latent types.

CONCLUSION

Practical interventions are required to improve IGD MHL, including customized prevention based on the differences between the three types.

摘要

目的

本研究确定了网络成瘾障碍(IGD)心理健康素养(MHL)的潜在亚型,并探讨了青少年在各种因素方面的特征和差异。

方法

本研究分析了2019年青少年智能数字媒体调查的二手数据,纳入了1936名中学生和高中生(14 - 18岁)的数据。使用MHL问卷的13个项目进行潜在类别分析。我们使用各种统计分析方法,包括单因素方差分析、卡方检验和多项逻辑回归,比较了所确定类型的特征和预测因素。

结果

我们确定了青少年IGD的三种MHL亚型:“低认知 - 偏好非正式资源型”、“中等认知 - 偏好资源不明确型”和“高认知 - 偏好专业资源型”。各亚型在性别、年龄、家庭富裕程度、工作日电子学习时间、心理健康风险、问题智能手机使用水平和IGD方面存在显著差异。除IGD外,所有变量都能预测一种或多种潜在类型。

结论

需要采取实际干预措施来提高IGD的MHL,包括根据三种类型之间的差异进行定制化预防。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d5/10990622/80f4631a5c0d/pi-2023-0303f1.jpg

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