Addictive behaviors最新文献

{"title":"Exposure to vaping and smoking prohibitions and nicotine and cannabis vaping in a California-based sample of young adults: An ecological momentary assessment study","authors":"Michael S. Dunbar ,&nbsp;Claude M. Setodji ,&nbsp;Rachana Seelam ,&nbsp;Joan S. Tucker ,&nbsp;Anthony Rodriguez ,&nbsp;Elizabeth J. D’Amico","doi":"10.1016/j.addbeh.2025.108357","DOIUrl":"10.1016/j.addbeh.2025.108357","url":null,"abstract":"<div><h3>Background</h3><div>Localities have extended smoke-free policies to prohibit use of combustible and vaping products for nicotine/tobacco and cannabis (THC), but little is known about how this affects vaping behavior. We used Ecological Momentary Assessment to examine perceived exposure to smoking- and vaping-specific prohibitions and nicotine and THC vaping.</div></div><div><h3>Methods</h3><div>Young adults (n = 178; age 25; 55 % male; 47 % Hispanic, 21 % Asian, 21 % White) in California who endorsed past-month use of nicotine and/or THC vaping products were recruited from an existing longitudinal study. In 2023, individuals completed up to five brief surveys each day over 21 days to assess vaping behavior and momentary context (e.g., vaping/smoking prohibitions) of vaping and non-use (random prompt) events. Multilevel generalized linear mixed models assessed associations between exposure to prohibitions and likelihood of vaping nicotine or THC (vs. non-use events).</div></div><div><h3>Results</h3><div>Young adults showed reduced likelihood of vaping nicotine (aOR = 0.60, 95 % CI 0.42 – 0.85; <em>p</em> = 0.004) and THC (aOR = 0.48, 95 % CI 0.33 – 0.69; <em>p</em> &lt; 0.0001) in settings where vaping and smoking were prohibited compared to settings in which vaping and smoking were allowed. Exposure to settings in which only smoking was prohibited (vaping allowed) was associated with increased likelihood of vaping nicotine (aOR = 2.13, 95 % CI 1.34 – 3.39; <em>p</em> = 0.002), but unrelated to vaping THC (aOR = 0.87, 95 % CI 0.53 – 1.44; <em>p</em> = 0.59).</div></div><div><h3>Conclusions</h3><div>Efforts to increase young people’s awareness of and compliance with vaping prohibitions may help reduce both nicotine and THC vaping in real-world settings.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108357"},"PeriodicalIF":3.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unraveling the core symptoms across distinct trajectories of problematic Internet use among 27,577 adolescents: Cross-lagged panel network analyses","authors":"Shuiqing Huang ,&nbsp;Zijuan Ma ,&nbsp;Fang Fan","doi":"10.1016/j.addbeh.2025.108356","DOIUrl":"10.1016/j.addbeh.2025.108356","url":null,"abstract":"<div><div>Problematic Internet Use (PIU) often begins in adolescence and develops along diverse trajectories. Understanding the interaction between PIU symptoms and identifying the core PIU symptoms that drive distinct trajectories among adolescents are crucial. We employed cross-lagged panel network analyses to examine temporal relationships of PIU symptoms among Chinese adolescents across four developmental trajectories over two time points. A total of 27,577 adolescents (Mean age = 13.8, SD = 1.5) participated in this study. Demographic variables and PIU symptoms were collected from December 17 to 26, 2021 (T1) and from May 17 to June 5, 2022 (T2). The symptom “Reluctant to stop” in the resilient group and “Uncontrollable checking” in the alleviating group at T1 were most predictive of remission of other symptoms at T2, while “Empty life” in the deteriorating group and “Feeling of missing” in the persistent dysfunction group were most strongly associated with worsening of other PIU symptoms. Improving self-control is likely to promote healthy and beneficial Internet use among adolescents, while enhancing social connection and fostering exercise habits may help mitigate negative emotions and reduce the emergence of additional PIU symptoms among adolescents who have developed PIU.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108356"},"PeriodicalIF":3.7,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Substance use patterns among youth seeking help for mental illness: A latent class analysis","authors":"Emily A. Karanges ,&nbsp;Alexandre A. Guerin ,&nbsp;Sasha Malignaggi ,&nbsp;Rosemary Purcell ,&nbsp;Patrick McGorry ,&nbsp;Ian Hickie ,&nbsp;Alison R. Yung ,&nbsp;Christos Pantelis ,&nbsp;G. Paul Amminger ,&nbsp;Nicholas T. Van Dam ,&nbsp;Gillinder Bedi","doi":"10.1016/j.addbeh.2025.108355","DOIUrl":"10.1016/j.addbeh.2025.108355","url":null,"abstract":"<div><h3>Background</h3><div>Substance use is common among youth, with emerging adulthood a high-risk period for developing both substance use disorder (SUD) and mental illness. Youth receiving mental health treatment have higher rates of substance use than their peers, providing an opportunity for early intervention for SUDs. To facilitate this, a better understanding of substance use patterns among help-seeking youth is needed.</div></div><div><h3>Objectives</h3><div>We employed exploratory and confirmatory latent class analyses (LCA) to identify discrete classes of youth attending mental health services based on their substance use patterns, and assessed differences between groups in demographics, quality of life (QOL) and psychiatric symptoms.</div></div><div><h3>Methods</h3><div>Participants were treatment-seeking youth (15 − 25 years) recruited from <em>headspace</em>, Australia’s national network of youth-focused primary mental health services, in 2 cohorts (Study 1, n = 676, female = 67.8 %; Study 2, n = 295, female = 66.3 %). Measurements included demographics, lifetime and recent substance use, mental health symptomatology and QOL.</div></div><div><h3>Results</h3><div>Exploratory LCA (Study 1) revealed a four-class model of substance use: 1) current alcohol or no substance use (ALC), 2) current tobacco, alcohol, and cannabis use (TAC), 3) past polysubstance use, and 4) current polysubstance use. The current polysubstance use group reported more psychological distress than the ALC group and lower QOL than youth without polysubstance use (ALC and TAC). Confirmatory LCA (Study 2) identified four similar classes, however no differences between groups in distress or QOL were observed.</div></div><div><h3>Conclusion</h3><div>Findings identify clinically-significant substance use patterns among youth accessing mental health care, with implications for development of early interventions to address substance use in this risk-enriched population.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108355"},"PeriodicalIF":3.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Switching between vaping devices, nicotine concentration, and flavors among people who use e-cigarettes daily: Results from a 12-Month longitudinal study","authors":"Connor D. Martin ,&nbsp;Connor R. Miller ,&nbsp;Ashleigh C. Block ,&nbsp;Lisa M. Kaiser,&nbsp;Maciej L. Goniewicz","doi":"10.1016/j.addbeh.2025.108313","DOIUrl":"10.1016/j.addbeh.2025.108313","url":null,"abstract":"<div><h3>Background</h3><div>E-cigarettes vary widely in product characteristics (e.g., device type, nicotine concentration, and flavor). Little is known about how people who use e-cigarettes switch between products with different characteristics. We tracked the stability/variability in characteristics of products used by individuals who vaped e-cigarettes daily over one year.</div></div><div><h3>Methods</h3><div>Of 126 enrolled participants who vaped e-cigarettes daily and did not use other nicotine products, 80 completed 12 monthly study visits. Participants reported device type, nicotine concentration, and flavors used in the past 30 days at each visit. Participants were also asked to bring e-cigarette devices and e-liquids to each visit. Study staff took pictures of products carried by participants and categorized product characteristics.</div></div><div><h3>Results</h3><div>Over one year, 35.0 % of participants did not change device type, nicotine concentration, or flavor type. However, 35 % of participants changed device type, 31.3 % changed nicotine concentration, and 46.3 % changed flavor at least once. The most common change in device type was switching from open to closed system devices (67.9 %). The rate of switching from low to high nicotine (≤24 vs. &gt; 24 mg/mL) was more common than the reverse (56.6 % vs. 43.4 %). The most common change in flavor was switching between Fruit/Sweet and Hybrid (Fruit/Sweet with a cooling additive, 75.7 % of flavor switching events).</div></div><div><h3>Conclusions</h3><div>Most study participants switched one product characteristic at least once during a 12-month study period. Users most frequently switched flavors and least frequently switched nicotine concentrations. Future studies should consider the variability of product use patterns among people who use e-cigarettes.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108313"},"PeriodicalIF":3.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “E-cigarette use and change in plans to quit cigarette smoking among adult smokers in the United States: Longitudinal findings from the PATH Study 2014–2019” [Addict. Behav. 124 (2022) 107124]","authors":"Karin A. Kasza ,&nbsp;Kathryn C. Edwards ,&nbsp;Andrew Anesetti-Rothermel ,&nbsp;MeLisa R. Creamer ,&nbsp;K. Michael Cummings ,&nbsp;Raymond S. Niaura ,&nbsp;Akshika Sharma ,&nbsp;Stephanie R. Pitts ,&nbsp;Sara K. Head ,&nbsp;Colm D. Everard ,&nbsp;Dorothy K. Hatsukami ,&nbsp;Andrew Hyland","doi":"10.1016/j.addbeh.2025.108342","DOIUrl":"10.1016/j.addbeh.2025.108342","url":null,"abstract":"","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108342"},"PeriodicalIF":3.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “A qualitative analysis of people who died by suicide and had gambling documented in their coronial file” [Addict. Behav. 163 (2025) 108267]","authors":"Ciara M.E. Reynolds ,&nbsp;Gemma Cox ,&nbsp;Suzi Lyons ,&nbsp;Helen McAvoy ,&nbsp;Louise O’Connor ,&nbsp;Katerina Kavalidou","doi":"10.1016/j.addbeh.2025.108338","DOIUrl":"10.1016/j.addbeh.2025.108338","url":null,"abstract":"","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108338"},"PeriodicalIF":3.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Use of electronic nicotine delivery system (ENDS) devices among U.S. Youth and adults: Findings from the Population Assessment of Tobacco and Health Study Waves 1–5” [Addict. Behav. 139 (2023) 107588]","authors":"Nan Jiang ,&nbsp;Shu Xu ,&nbsp;Le Li ,&nbsp;Charles M. Cleland ,&nbsp;Raymond S. Niaura","doi":"10.1016/j.addbeh.2025.108344","DOIUrl":"10.1016/j.addbeh.2025.108344","url":null,"abstract":"","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108344"},"PeriodicalIF":3.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)” [Addict. Behav. 91 (2019) 51–60]","authors":"Michael D. Sawdey ,&nbsp;Hannah R. Day ,&nbsp;Blair Coleman ,&nbsp;Lisa D. Gardner ,&nbsp;Sarah E. Johnson ,&nbsp;Jean Limpert ,&nbsp;Hoda T. Hammad ,&nbsp;Maciej L. Goniewicz ,&nbsp;David B. Abrams ,&nbsp;Cassandra A. Stanton ,&nbsp;Jennifer L. Pearson ,&nbsp;Annette R. Kaufman ,&nbsp;Heather L. Kimmel ,&nbsp;Cristine D. Delnevo ,&nbsp;Wilson M. Compton ,&nbsp;Maansi Bansal-Travers ,&nbsp;Raymond S. Niaura ,&nbsp;Andrew Hyland ,&nbsp;Bridget K. Ambrose","doi":"10.1016/j.addbeh.2025.108340","DOIUrl":"10.1016/j.addbeh.2025.108340","url":null,"abstract":"","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108340"},"PeriodicalIF":3.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Correlates of tobacco product initiation among youth and young adults between waves 1–4 of the population assessment of tobacco and Health (PATH) study (2013–2018)” [Addict. Behav. 134 (2022) 107396]","authors":"Maria Cooper ,&nbsp;Hannah R. Day ,&nbsp;Chunfeng Ren ,&nbsp;Olusola Oniyide ,&nbsp;Catherine G. Corey ,&nbsp;Bridget K. Ambrose ,&nbsp;K. Michael Cummings ,&nbsp;James Sargent ,&nbsp;Ray Niaura ,&nbsp;John P. Pierce ,&nbsp;Annette Kaufman ,&nbsp;Kelvin Choi ,&nbsp;Maciej L. Goniewicz ,&nbsp;Cassandra A. Stanton ,&nbsp;Andrea Villanti ,&nbsp;Karin Kasza ,&nbsp;Maansi Bansal-Travers ,&nbsp;Marushka L. Silveira ,&nbsp;Heather L. Kimmel ,&nbsp;Lynn C. Hull ,&nbsp;Andrew J. Hyland","doi":"10.1016/j.addbeh.2025.108343","DOIUrl":"10.1016/j.addbeh.2025.108343","url":null,"abstract":"","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108343"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential neural reward processes in internet addiction: A systematic review of brain imaging research","authors":"Wendi Shi ,&nbsp;Ying Zhao ,&nbsp;Jiaqi Zhou,&nbsp;Jiangboheng Shi","doi":"10.1016/j.addbeh.2025.108346","DOIUrl":"10.1016/j.addbeh.2025.108346","url":null,"abstract":"<div><h3>Objectives</h3><div>This systematic review aims to examine the neural correlates of reward processing in various forms of Internet Addiction (IA) among adults, including generalized IA and specific conditions such as Internet Gaming Disorder (IGD). The study seeks to identify distinct patterns of altered connectivity and activation in reward-related brain regions across different IA subtypes.</div></div><div><h3>Methods</h3><div>We analyzed findings from 44 neuroimaging studies, aligning with the Research Domain Criteria (RDoC) framework. The review focused on three key aspects of reward processing: responsiveness, learning, and valuation. Studies included both structural and functional neuroimaging data from adult populations with various forms of IA.</div></div><div><h3>Results</h3><div>Findings suggest distinct patterns of altered connectivity and activation in reward-related brain regions across different IA subtypes. IGD is associated with widespread abnormalities in both structural and functional connectivity within the reward network, whereas excess social media use primarily affects the amygdala-striatal system. However, methodological limitations, including variability in IA definitions, lack of comparative studies between IA subtypes, and predominance of cross-sectional designs, hinder definitive conclusions.</div></div><div><h3>Conclusion</h3><div>This review underscores the need for a nuanced approach to IA, recognizing potentially distinct neural mechanisms across subtypes. Such insights could inform the development of targeted interventions and enhance the clinical utility of IA research and treatment. Future research should address current methodological limitations to provide more definitive conclusions about the neurobiological underpinnings of various forms of IA.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108346"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}