使用基于数据驱动的网络聚类方法研究精神活性物质使用和其他潜在成瘾行为的心理表象。
Investigating mental representations of psychoactive substance use and other potentially addictive behaviors using a data driven network-based clustering method.
机构信息
Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Wigner Research Centre for Physics, Budapest, Hungary.
出版信息
PLoS One. 2023 Oct 19;18(10):e0287564. doi: 10.1371/journal.pone.0287564. eCollection 2023.
BACKGROUND AND AIMS
The aim of the present study was to examine the mental representations of the use of different substances and other potentially addictive behaviors in order to explore meaningful similarities and differences that may contribute to a better understanding of behavioral addictions' representations and diagnostic criteria.
METHODS
The authors mapped the mental and emotional representations of 661 participants (70.5% women; Mage = 35.2 years, SD = 11.7) to the concept "your most disturbing excessive activity" using free-word associations combined with a network-based clustering method.
RESULTS
The network analyses identified four distinct mental representations, three implicating dominantly negative (Guilt/Shame/Relief, Addiction/Health, and Procrastination/Boredom) and one dominantly positive emotion (Stress/Relaxation). The distribution of Addiction/Health and Procrastination/Boredom representations were different across substance use and problem behaviors, indicating meaningful differences in the underlying cognitive evaluation processes. The Addiction/Health representation was more frequent for substances, while for other addictive behaviors, the Procrastination/Boredom representation was more frequent, and its frequency increased with the self-reported intensity of the behavior. Guilt/Shame/Relief was equally common for both substances and behaviors, but importantly, for substances its' likelihood increased with the intensity of use.
CONCLUSION
The common part of representations for substance use and other potentially addictive behaviors supports the scientific viewpoint, that real addictions can exist even in the absence of psychoactive drugs. Based on the results, a novel proposition is posited, that a more appropriate indicator of tolerance for problem behaviors might be the perceived amount of time wasted on the activity rather than the actual time spent.
背景与目的
本研究旨在考察不同物质使用和其他潜在成瘾行为的心理表象,以探索可能有助于更好理解行为成瘾表象和诊断标准的有意义的相似和差异。
方法
作者通过自由联想与基于网络的聚类方法,将 661 名参与者(70.5%为女性;平均年龄 = 35.2 岁,标准差 = 11.7)的心理和情感表象映射到“你最困扰的过度行为”这一概念上。
结果
网络分析确定了四个不同的心理表象,三个表象主要涉及负面情绪(内疚/羞耻/解脱、成瘾/健康和拖延/无聊),一个表象主要涉及积极情绪(压力/放松)。物质使用和问题行为之间的“成瘾/健康”和“拖延/无聊”表象分布不同,表明潜在认知评估过程存在有意义的差异。“成瘾/健康”表象在物质方面更为常见,而对于其他成瘾行为,“拖延/无聊”表象更为常见,其频率随着行为自我报告的强度增加而增加。内疚/羞耻/解脱在物质和行为方面同样常见,但重要的是,对于物质,其出现的可能性随着使用强度的增加而增加。
结论
物质使用和其他潜在成瘾行为表象的共同部分支持了这样一种科学观点,即在没有精神活性药物的情况下,真正的成瘾也可能存在。基于研究结果,提出了一个新的命题,即衡量对问题行为的容忍度的更合适指标可能是感知到在该行为上浪费的时间量,而不是实际花费的时间量。