The relationship between adolescent impulsivity, mental health, and internet addiction: a latent profile analysis.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-01 Epub Date: 2023-12-05 DOI:10.1080/13548506.2023.2289478
Gang Zhao, Xiaoxue Wu, Lingrong Xiao, Siyan Liu, Junru Li, Hongmei Wu
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Abstract

This study aimed to identify group variations in adolescent impulsivity and explore the connections between latent categories of impulsivity and psychological symptoms, social anxiety, and internet addiction. The research involved 2,378 participants from three middle schools in Guangdong Province, China. We assessed the impact of impulsivity levels (measured by BBIS) on depression (measured by KADS-11), anxiety (measured by SCARED), social anxiety (measured by SASC), and internet addiction (measured by YDQ). Latent profile analysis was employed to examine the diversity in adolescent impulsivity, establish latent classifications, and investigate the variances in psychological symptoms, social anxiety, and internet addiction. The middle school students were categorized into five latent groups based on their BBIS scores. Statistical analysis revealed five impulsivity categories, strongly linked to psychological symptoms and social anxiety but less strongly associated with internet addiction. The high impulsivity group (C5) exhibited higher scores in psychological symptoms and social anxiety compared to other groups, whereas the poor self-regulation group (C3) displayed greater psychological symptoms, social anxiety scores, and internet addiction than the impulsive behavior group (C4). Future investigations should investigate the underlying factors contributing to the observed differences among these groups.

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青少年冲动、心理健康和网络成瘾之间的关系:潜在特征分析。
本研究旨在识别青少年冲动性的群体差异,并探讨冲动性的潜在类别与心理症状、社交焦虑和网络成瘾之间的联系。研究涉及中国广东省三所中学的 2378 名参与者。我们评估了冲动水平(以 BBIS 为测量指标)对抑郁(以 KADS-11 为测量指标)、焦虑(以 SCARED 为测量指标)、社交焦虑(以 SASC 为测量指标)和网络成瘾(以 YDQ 为测量指标)的影响。我们采用了潜在特征分析来研究青少年冲动的多样性,建立潜在分类,并调查心理症状、社交焦虑和网络成瘾的差异。根据初中生的 BBIS 分数,将他们分为五个潜在组别。统计分析显示,五个冲动类别与心理症状和社交焦虑密切相关,但与网络成瘾的关系不大。与其他组别相比,高冲动组(C5)在心理症状和社交焦虑方面的得分更高,而自我调节能力差组(C3)在心理症状、社交焦虑得分和网络成瘾方面的得分均高于冲动行为组(C4)。未来的调查应研究造成这些组别间观察到的差异的潜在因素。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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