Jin Chen , Xin-Yue Wang , Sai-Nan Huang , Jian-Xia Lu , Hui Zheng
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The Glasso network method was used to estimate the networks, and four interrelated centrality measures were calculated.</div></div><div><h3>Results</h3><div>IUs exhibited significantly lower total addiction motivation scores, as well as lower reward and fear dimensions, compared to NUs. In the Severity-Motivation Network, reward and fear motivations had the highest centrality. The habitual motivation of NUs demonstrated the highest closeness and betweenness centrality, showing a strong positive correlation with the degree of ND. The fear motivation of IUs exhibited a strong positive correlation with the degree of IA. In the symptom-motivation network, reward and habit nodes displayed higher centrality in NUs, whereas reward and fear nodes were most central for IUs.</div></div><div><h3>Conclusions</h3><div>The findings indicate that reward, fear, and habit motivations are key factors in explaining behaviors associated with nicotine use and internet use. The unique positions of habitual motivation in ND and fear motivation in IA provide new perspectives for understanding addictive behaviors. These should be considered key motivational targets for clinicians to address.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108480"},"PeriodicalIF":9.0000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Similarities and differences between internet addiction and nicotine dependence —— motivation network\",\"authors\":\"Jin Chen , Xin-Yue Wang , Sai-Nan Huang , Jian-Xia Lu , Hui Zheng\",\"doi\":\"10.1016/j.chb.2024.108480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Motivation, encompassing positive reinforcement, negative reinforcement, and compulsion, significantly influences addictive behavior. 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引用次数: 0
摘要
背景动机包括正强化、负强化和强迫,对成瘾行为有重大影响。然而,有关这些动机维度及其与成瘾行为之间联系的研究却很少。本研究通过调查网络成瘾(IA)和尼古丁依赖(ND)中的动机来填补这些空白。方法使用中文版习惯、奖赏和恐惧量表对 472 名尼古丁使用者(NUs)和 1004 名网络使用者(IUS)的横断面数据进行研究。结果与 NUs 相比,IUs 表现出明显较低的成瘾动机总分,以及较低的奖励和恐惧维度。在严重程度-动机网络中,奖励和恐惧动机的中心度最高。NU 的习惯性动机表现出最高的接近性和中心度之间性,与 ND 程度呈很强的正相关。IU 的恐惧动机与 IA 的程度有很强的正相关性。结论 研究结果表明,奖励、恐惧和习惯性动机是解释尼古丁使用和互联网使用相关行为的关键因素。习惯性动机在 ND 中的独特位置和恐惧动机在 IA 中的独特位置为理解成瘾行为提供了新的视角。临床医生应将这两种动机作为重点研究对象。
Similarities and differences between internet addiction and nicotine dependence —— motivation network
Background
Motivation, encompassing positive reinforcement, negative reinforcement, and compulsion, significantly influences addictive behavior. Yet, there is little research available on these motivational dimensions and their connection to addictive behavior. This study addressed these gaps by investigating motivation in internet addiction (IA) and nicotine dependence (ND).
Methods
Cross-sectional data from 472 nicotine users (NUs) and 1004 internet users (IUS) were examined using the Chinese version of the Habit, Reward, and Fear Scale. The Glasso network method was used to estimate the networks, and four interrelated centrality measures were calculated.
Results
IUs exhibited significantly lower total addiction motivation scores, as well as lower reward and fear dimensions, compared to NUs. In the Severity-Motivation Network, reward and fear motivations had the highest centrality. The habitual motivation of NUs demonstrated the highest closeness and betweenness centrality, showing a strong positive correlation with the degree of ND. The fear motivation of IUs exhibited a strong positive correlation with the degree of IA. In the symptom-motivation network, reward and habit nodes displayed higher centrality in NUs, whereas reward and fear nodes were most central for IUs.
Conclusions
The findings indicate that reward, fear, and habit motivations are key factors in explaining behaviors associated with nicotine use and internet use. The unique positions of habitual motivation in ND and fear motivation in IA provide new perspectives for understanding addictive behaviors. These should be considered key motivational targets for clinicians to address.
期刊介绍:
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.