Shen Zizheng, Liu Honggang, Chen I-Hua
School of Foreign Languages, Soochow University, Suzhou, Jiangsu, China.
Chinese Academy of Education Big Data, Faculty of Education, Qufu Normal University, Qufu, Shandong, China.
PeerJ. 2025 Jul 23;13:e19707. doi: 10.7717/peerj.19707. eCollection 2025.
BACKGROUND: Given the limited attention to psychological distress (PD) and problematic internet use (PIU) among language teachers, the study tried to reveal the different PD profiles and their association with PIU. METHODS: We first employed latent profile analysis (LPA) to identify the latent profiles within a cohort of language teachers in China and then utilized multivariate logistic regression analysis to explore the demographic characteristics associated with different PD profiles. After that, one-way analysis of variance (ANOVA) was conducted to examine the relationships between PD and PIU. RESULTS: The LPA identified three distinct latent profiles of PD: the moderate-to-severe PD profile, the mild PD profile, and the mentally healthy profile. The results of multivariate logistic regression indicated that male and experienced language teachers were more likely to experience severe PD. The results of one way ANOVA suggested that language teachers experiencing PD reported notably higher levels of PIU, with those in the moderate-to-severe PD group scoring particularly high in internet gaming disorder. DISCUSSION: Results of this study indicate the close association between PD and PIU in language teachers. These findings underscore the critical need to address PD among language teachers and emphasize the importance of education and training aimed at promoting teachers' appropriate internet use. Breaking the "PD-PIU" vicious cycle is essential for fostering better mental health and well-being within this professional group.
背景:鉴于语言教师对心理困扰(PD)和网络使用问题(PIU)的关注有限,本研究试图揭示不同的心理困扰特征及其与网络使用问题的关联。 方法:我们首先采用潜在类别分析(LPA)来识别中国一组语言教师中的潜在类别,然后利用多变量逻辑回归分析来探索与不同心理困扰特征相关的人口统计学特征。之后,进行单因素方差分析(ANOVA)以检验心理困扰与网络使用问题之间的关系。 结果:潜在类别分析确定了三种不同的心理困扰潜在类别:中重度心理困扰类别、轻度心理困扰类别和心理健康类别。多变量逻辑回归结果表明,男性和经验丰富的语言教师更容易经历严重的心理困扰。单因素方差分析结果表明,经历心理困扰的语言教师报告的网络使用问题水平明显更高,中重度心理困扰组的教师在网络游戏障碍方面得分尤其高。 讨论:本研究结果表明语言教师的心理困扰与网络使用问题之间存在密切关联。这些发现强调了解决语言教师心理困扰的迫切需要,并强调了旨在促进教师合理使用互联网的教育和培训的重要性。打破“心理困扰 - 网络使用问题”恶性循环对于促进该专业群体更好的心理健康和幸福感至关重要。
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