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网络成瘾与体重指数的关系及情绪失调的预测作用。

Relationship between Internet addiction and body mass index and the predictive role of emotion dysregulation.

作者信息

Azizi Morteza, Abbasi Behrouz, Aghaei Hajar

机构信息

Department of Psychology, Sarab Branch, Islamic Azad University, Sarab, Iran.

Azerbaijan Charkhe Niloofari Higher Education Institute, Tabriz, Iran.

出版信息

Front Psychol. 2024 Jan 8;14:1305828. doi: 10.3389/fpsyg.2023.1305828. eCollection 2023.

Abstract

In recent years, the widespread use of the Internet has led to increasing concerns about problematic behaviors related to excessive Internet use and their potential consequences. This study aimed to investigate the relationship between Internet addiction (IA), body mass index (BMI), and emotion dysregulation (ED). Specifically, the study aimed to determine if IA significantly predicts obesity and if both Internet addiction and obesity can be significantly predicted by ED. 367 school-attending adolescents (M = 13.35;  = 0.82; 49% girls) in Tekab participated in the study. Participants completed the Difficulties in Emotion Regulation Scale (DERS) and the Internet Addiction Test (IAT), while BMI was calculated using self-reported data to assess their obesity levels. The results indicated that ED significantly predicted both IA and increased BMI levels ( < 0.001). Furthermore, IA also significantly predicted elevated BMI levels ( < 0.001). Our findings showed that ED significantly predicted both higher IA and BMI values, while IA also significantly predicted elevated BMI levels These results have important implications for treatment. To address excessive Internet use or overeating behavior in individuals with either condition, it may be necessary to target the underlying emotional dysregulation that contributes to the problem.

摘要

近年来,互联网的广泛使用引发了人们对与过度使用互联网相关的问题行为及其潜在后果的日益关注。本研究旨在调查网络成瘾(IA)、体重指数(BMI)和情绪失调(ED)之间的关系。具体而言,该研究旨在确定IA是否能显著预测肥胖,以及ED是否能显著预测网络成瘾和肥胖。来自特卡布的367名在校青少年(平均年龄M = 13.35岁;标准差= 0.82;49%为女孩)参与了该研究。参与者完成了情绪调节困难量表(DERS)和网络成瘾测试(IAT),同时使用自我报告数据计算BMI以评估他们的肥胖水平。结果表明,ED能显著预测IA和BMI水平的升高(p < 0.001)。此外,IA也能显著预测BMI水平的升高(p < 0.001)。我们的研究结果表明,ED能显著预测更高的IA和BMI值,而IA也能显著预测BMI水平的升高。这些结果对治疗具有重要意义。为了解决患有这两种情况之一的个体的过度使用互联网或暴饮暴食行为,可能有必要针对导致该问题的潜在情绪失调进行治疗。

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