Zsuzsanna Viktória Pesthy , Krisztina Berta , Teodóra Vékony , Dezső Németh , Bernadette Kun
{"title":"Intact habit learning in work addiction: Evidence from a probabilistic sequence learning task","authors":"Zsuzsanna Viktória Pesthy , Krisztina Berta , Teodóra Vékony , Dezső Németh , Bernadette Kun","doi":"10.1016/j.abrep.2025.100589","DOIUrl":null,"url":null,"abstract":"<div><div>Work addiction (WA) is characterized by excessive and compulsive working patterns that detrimentally affect the individual’s health and functioning. While prior studies have indicated an overreliance on habit learning in various addictions, this study is the first to examine its role in WA. 104 adults were categorized into low-risk and high-risk groups for WA based on their scores on the Work Addiction Risk Test. We used a probabilistic sequence learning task designed to assess habit learning through the implicit acquisition of structured patterns characterized by alternating sequences. No significant differences were observed between the groups, both in terms of accuracy and reaction time. These findings suggest that individuals with WA exhibit intact habit learning, indicating that the addictive nature of work behavior may not solely stem from habitual processes. This highlights the unique features of WA compared to other addictions, potentially contributing to the relatively better overall functioning observed in affected individuals.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"21 ","pages":"Article 100589"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive Behaviors Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352853225000070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Psychology","Score":null,"Total":0}
引用次数: 0
Abstract
Work addiction (WA) is characterized by excessive and compulsive working patterns that detrimentally affect the individual’s health and functioning. While prior studies have indicated an overreliance on habit learning in various addictions, this study is the first to examine its role in WA. 104 adults were categorized into low-risk and high-risk groups for WA based on their scores on the Work Addiction Risk Test. We used a probabilistic sequence learning task designed to assess habit learning through the implicit acquisition of structured patterns characterized by alternating sequences. No significant differences were observed between the groups, both in terms of accuracy and reaction time. These findings suggest that individuals with WA exhibit intact habit learning, indicating that the addictive nature of work behavior may not solely stem from habitual processes. This highlights the unique features of WA compared to other addictions, potentially contributing to the relatively better overall functioning observed in affected individuals.
期刊介绍:
Addictive Behaviors Reports is an open-access and peer reviewed online-only journal offering an interdisciplinary forum for the publication of research in addictive behaviors. The journal accepts submissions that are scientifically sound on all forms of addictive behavior (alcohol, drugs, gambling, Internet, nicotine and technology) with a primary focus on behavioral and psychosocial research. The emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. We are particularly interested in ''non-traditional'', innovative and empirically oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. Studies that might encourage new lines of inquiry as well as scholarly commentaries on topical issues, systematic reviews, and mini reviews are also very much encouraged. We also welcome multimedia submissions that incorporate video or audio components to better display methodology or findings.