{"title":"Gene-environment interaction between gaming addiction and perceived stress in late adolescents and young adults: A twin study.","authors":"Yoon-Mi Hur","doi":"10.1556/2006.2024.00029","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>The association between perceived stress (PS) and gaming addiction (GA) is well documented. However, the mechanism for explaining this association remains unclear. Using a genetically informative design, this study aims to distinguish between the diathesis-stress and bio-ecological models of gene by environment interaction (G x E) to explain the underlying mechanism of the relationship.</p><p><strong>Methods: </strong>In total, 1,468 twins (mean age = 22.6 ± 2.8 years) completed an online survey including the GA and PS scales. Twin correlations for GA and PS were computed and univariate model-fitting analysis was conducted to determine genetic and environmental influences on GA and PS. The bivariate G x E model-fitting analysis was performed to determine the best G x E interaction model.</p><p><strong>Results: </strong>Additive genetic, shared environmental, and non-shared environmental effects were 0.70 (95%CI = 0.61, 0.77), 0.00, and 0.30 (95%CI = 0.26, 0.33), and 0.38 (95%CI = 0.24, 0.55), 0.35 (95% CI = 0.18, 0.51), and 0.22 (95%CI = 0.20, 0.26) for GA and PS, respectively. Bivariate G x E model-fitting analysis supported the diathesis-stress model, where genetic influences on GA were greater in higher levels of PS, whereas environmental influences on GA were small and constant across levels of PS.</p><p><strong>Discussion and conclusions: </strong>The evidence for the diathesis-stress model for GA is consistent with the etiological process of many forms of psychopathology. The findings should be incorporated in clinical settings to improve the treatment of GA, and used in developments of intervention and prevention methods for GA.</p>","PeriodicalId":15049,"journal":{"name":"Journal of Behavioral Addictions","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11220814/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Addictions","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1556/2006.2024.00029","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/26 0:00:00","PubModel":"Print","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and aims: The association between perceived stress (PS) and gaming addiction (GA) is well documented. However, the mechanism for explaining this association remains unclear. Using a genetically informative design, this study aims to distinguish between the diathesis-stress and bio-ecological models of gene by environment interaction (G x E) to explain the underlying mechanism of the relationship.
Methods: In total, 1,468 twins (mean age = 22.6 ± 2.8 years) completed an online survey including the GA and PS scales. Twin correlations for GA and PS were computed and univariate model-fitting analysis was conducted to determine genetic and environmental influences on GA and PS. The bivariate G x E model-fitting analysis was performed to determine the best G x E interaction model.
Results: Additive genetic, shared environmental, and non-shared environmental effects were 0.70 (95%CI = 0.61, 0.77), 0.00, and 0.30 (95%CI = 0.26, 0.33), and 0.38 (95%CI = 0.24, 0.55), 0.35 (95% CI = 0.18, 0.51), and 0.22 (95%CI = 0.20, 0.26) for GA and PS, respectively. Bivariate G x E model-fitting analysis supported the diathesis-stress model, where genetic influences on GA were greater in higher levels of PS, whereas environmental influences on GA were small and constant across levels of PS.
Discussion and conclusions: The evidence for the diathesis-stress model for GA is consistent with the etiological process of many forms of psychopathology. The findings should be incorporated in clinical settings to improve the treatment of GA, and used in developments of intervention and prevention methods for GA.
背景和目的:感知到的压力(PS)与游戏成瘾(GA)之间的关联已被充分证实。然而,解释这种关联的机制仍不清楚。本研究采用基因信息设计,旨在区分基因与环境交互作用(G x E)的病因-压力模型和生物-生态模型,以解释这种关系的内在机制:共有 1,468 对双胞胎(平均年龄 = 22.6 ± 2.8 岁)完成了包括 GA 和 PS 量表在内的在线调查。计算了GA和PS的双胞胎相关性,并进行了单变量模型拟合分析,以确定遗传和环境对GA和PS的影响。对GA x E进行双变量模型拟合分析,以确定最佳的G x E交互模型:GA和PS的加性遗传效应、共有环境效应和非共有环境效应分别为0.70(95%CI = 0.61,0.77)、0.00和0.30(95%CI = 0.26,0.33),以及0.38(95%CI = 0.24,0.55)、0.35(95%CI = 0.18,0.51)和0.22(95%CI = 0.20,0.26)。双变量 G x E 模型拟合分析支持二合成-压力模型,即在 PS 水平较高时,遗传对 GA 的影响较大,而环境对 GA 的影响较小,且在不同 PS 水平下保持不变:GA的病因-压力模型的证据与多种形式精神病理学的病因过程是一致的。这些发现应纳入临床环境,以改善 GA 的治疗,并用于开发 GA 的干预和预防方法。
期刊介绍:
The aim of Journal of Behavioral Addictions is to create a forum for the scientific information exchange with regard to behavioral addictions. The journal is a broad focused interdisciplinary one that publishes manuscripts on different approaches of non-substance addictions, research reports focusing on the addictive patterns of various behaviors, especially disorders of the impulsive-compulsive spectrum, and also publishes reviews in these topics. Coverage ranges from genetic and neurobiological research through psychological and clinical psychiatric approaches to epidemiological, sociological and anthropological aspects.