Addiction Medicine, Department of Psychiatry,Lausanne University Hospital and University of Lausanne, Lausanne,Switzerland.
Research Centre,University Institute of Mental Health at Montréal, Québec,Canada.
J Behav Addict. 2019 Dec 1;8(4):664-677. doi: 10.1556/2006.8.2019.70.
Behavioral addictions (BAs) and substance use disorders (SUDs) tend to co-occur; both are associated with mental health problems (MHPs). This study aimed to estimate the proportion of variance in the severity of MHPs explained by BAs and SUDs, individually and shared between addictions.
A sample of 5,516 young Swiss men (mean = 25.47 years old; = 1.26) completed a self-reporting questionnaire assessing alcohol, cannabis, and tobacco use disorders, illicit drug use other than cannabis, six BAs (Internet, gaming, smartphone, Internet sex, gambling, and work) and four MHPs (major depression, attention-deficit hyperactivity disorder, social anxiety disorder, and borderline personality disorder). Commonality analysis was used to decompose the variance in the severity of MHPs explained () by BAs and SUDs into independent commonality coefficients. These were calculated for unique BA and SUD contributions and for all types of shared contributions.
BAs and SUDs explained between a fifth and a quarter of the variance in severity of MHPs, but individual addictions explained only about half of this explained variance uniquely; the other half was shared between addictions. A greater proportion of variance was explained uniquely or shared within BAs compared to SUDs, especially for social anxiety disorder.
The interactions of a broad range of addictions should be considered when investigating their associations with MHPs. BAs explain a larger part of the variance in MHPs than do SUDs and therefore play an important role in their interaction with MHPs.
行为成瘾(BAs)和物质使用障碍(SUDs)往往同时发生;两者都与心理健康问题(MHPs)有关。本研究旨在估计 BAs 和 SUDs 各自以及在成瘾之间共同对 MHP 严重程度的解释方差比例。
一项针对 5516 名瑞士年轻男性(平均年龄 25.47 岁,标准差为 1.26)的样本完成了一份自我报告问卷,评估了酒精、大麻和烟草使用障碍、除大麻以外的非法药物使用、六种 BAs(互联网、游戏、智能手机、网络性、赌博和工作)和四种 MHP(重度抑郁症、注意缺陷多动障碍、社交焦虑障碍和边缘型人格障碍)。共性分析用于将 MHP 严重程度的方差()分解为 BAs 和 SUDs 的独立共性系数。这些系数是针对独特的 BA 和 SUD 贡献以及所有类型的共享贡献计算得出的。
BAs 和 SUDs 解释了 MHP 严重程度变异的五分之一到四分之一,但个体成瘾仅解释了独特解释变异的一半左右;另一半在成瘾之间共享。BA 比 SUD 更能解释独特或共享的方差比例,尤其是对于社交焦虑障碍。
在研究它们与 MHP 的关联时,应考虑广泛的成瘾之间的相互作用。BAs 比 SUDs 解释了 MHP 变异的更大部分,因此在它们与 MHP 的相互作用中起着重要作用。