Addictive behaviors最新文献

{"title":"Association of e-cigarette use, psychological distress, and substance use: Insights from the All of Us Research Program","authors":"John Erhabor ,&nbsp;Zhiqi Yao ,&nbsp;Erfan Tasdighi ,&nbsp;Omar El Shahawy ,&nbsp;Emelia J. Benjamin ,&nbsp;Aruni Bhatnagar ,&nbsp;Michael J. Blaha","doi":"10.1016/j.addbeh.2025.108322","DOIUrl":"10.1016/j.addbeh.2025.108322","url":null,"abstract":"<div><h3>Background/Aim</h3><div>Understanding the social context of e-cigarette use in the United States (U.S.) remains a high priority.</div></div><div><h3>Methods</h3><div>In this cross-sectional study, we included 68,356 adults aged ≥18 from the All of Us research program’s COVID-19 Participant Experience (COPE) survey who had complete e-cigarette use information. Multivariable-adjusted logistic regression was used to examine the association between e-cigarette use (current, former, and never), psychological distress, and substance use.</div></div><div><h3>Results</h3><div>In the sample, most were male (66.3 %) and white (81.9 %), with 2.9 % reporting former and 2.3 % current e-cigarette use. Individuals reporting former or current e-cigarette use had a higher prevalence of psychological distress (e.g., depressive symptoms: never 49.6 %, former 70.2 %, current 73.4 %) and substance use (e.g., cannabis: never 9.8 %, former 37.0 %, current 42.6 %) than never e-cigarette use. Compared with never use, current e-cigarette use was associated with higher odds of depressive symptoms (aOR, 1.53 95 % CI: 1.34–1.74), anxiety (aOR1.36, 1.19–1.57), suicidal ideation (aOR1.55, 1.32–1.82), stress (aOR1.41, 1.24–1.59), as well as, cannabis (aOR 2.72, 2.40–3.08), opioids (aOR1.92, 1.56–2.36), stimulants (aOR2.33, 1.91–2.83), sedatives (aOR1.68, 1.43–1.98), hallucinogens (aOR1.94, 1.28–2.90), and cocaine use (aOR1.85, 1.21–2.79). Similar significant associations were observed in former, occasional and daily e-cigarette use, with comparable estimates across sexes.</div></div><div><h3>Conclusion</h3><div>In this unique well-powered All of US dataset, there was a significant cross-sectional association between e-cigarette use, psychological distress, and substance use, indicating that the social context of e-cigarette use is closely linked to key well-being domains. These data provide high precision estimates that can be used to inform interventions aimed at creating awareness of e-cigarette use correlates.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108322"},"PeriodicalIF":3.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643262","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":"Risk factors for the development of problem gambling in individuals with ADHD symptoms: The mediating roles of gambling engagement and ADHD characteristics","authors":"Keita Tokumitsu ,&nbsp;Norio Sugawara ,&nbsp;Takahiro Tabuchi ,&nbsp;Norio Yasui-Furukori","doi":"10.1016/j.addbeh.2025.108327","DOIUrl":"10.1016/j.addbeh.2025.108327","url":null,"abstract":"<div><div>Gambling disorder is a behavioral addiction characterized by impulsivity and problem gambling, and it often cooccurs with ADHD. This study investigated the associations between ADHD symptoms and problem gambling, focusing on the roles of various forms of gambling engagement. Based on data from the JASTIS 2024 survey, which included 29,268 valid respondents, this cross-sectional study explored how ADHD symptoms are related to the prevalence of problem gambling and specific forms of gambling engagement. Problem gambling was assessed using the Problem Gambling Severity Index, and ADHD symptoms were measured with the Japanese version of the Adult ADHD Self-Report Scale. The results revealed that 22.2 % of the participants with ADHD symptoms exhibited problem gambling, this proportion was significantly higher than that reported in the general population. Causal mediation analysis revealed that all types of gambling engagement, except for lottery, mediated the relationship between ADHD symptoms and problem gambling. Among them, bicycle racing and online casinos exhibited the strongest effects. Multiple regression analysis revealed that online casino use was the strongest predictor of problem gambling both in the general population and among individuals with ADHD symptoms. These findings suggest that individuals with ADHD characteristics increase the risk of engaging in gambling activities, particularly casino and online gambling, which have a high potential for addiction. Given the association between problem gambling and casino-related experiences, this study underscores the need for stringent regulatory measures and targeted prevention strategies, particularly as Japan considers expanding casino operations.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108327"},"PeriodicalIF":3.7,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636773","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":"Sex differences in the relationship between quit attempt and smoking cessation self-efficacy in adults with depressive symptoms","authors":"Zainab S. Shah ,&nbsp;Sarah E. Dreyer-Oren ,&nbsp;Sarah Barter ,&nbsp;Julie A. Desaulniers ,&nbsp;Lisa A. Uebelacker ,&nbsp;Ana M. Abrantes","doi":"10.1016/j.addbeh.2025.108328","DOIUrl":"10.1016/j.addbeh.2025.108328","url":null,"abstract":"<div><h3>Objective</h3><div>Smoking self-efficacy is a key predictor of being able to maintain smoking cessation. Smokers with depression have lower confidence that they can abstain from smoking (i.e., lower smoking self-efficacy) than those without depression. Additionally, individuals assigned female at birth (AFAB) have greater difficulty quitting smoking and lower self-efficacy than those assigned male at birth (AMAB). However, limited attention has been given to the experience of making a quit attempt on changes in smoking self-efficacy among smokers with depressive symptoms and how this may differ by abstinence outcomes and sex. The purpose of the current study was to examine whether abstinence or a reduction in cigarettes smoked during a standard smoking cessation treatment predicted post-treatment changes in smoking self-efficacy, and whether assigned sex moderated this relationship.</div></div><div><h3>Methods</h3><div>Participants (n = 146; 72.6 % AFAB; mean age = 46.6 years) received 12-week standard smoking cessation treatment as part of a randomized controlled trial testing two adjunctive health- and fitness-based interventions. Pre- and post-treatment, participants reported smoking self-efficacy (i.e., confidence abstaining in negative/affective-, positive/social-, and habit/addiction-related situations).</div></div><div><h3>Results</h3><div>Multiple regression analyses showed that abstinence was associated with higher increases in smoking self-efficacy in all facets, and decreasing cigarette use from baseline to post-treatment was significantly associated with increases in total smoking self-efficacy. AMAB smokers had higher levels of positive/social related smoking self-efficacy than did AFAB smokers, and for AFAB smokers, a reduction in cigarettes smoked was associated with greater positive/social smoking self-efficacy.</div></div><div><h3>Conclusions</h3><div>Findings related to the role of self-efficacy in smoking cessation outcomes of smokers with depressive symptoms and how assigned sex impacts the role of self-efficacy provide insight for smoking cessation outcomes. Future research is needed to understand mechanisms underlying smoking self-efficacy and to improve smoking cessation interventions.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108328"},"PeriodicalIF":3.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629525","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":"Monthly patterns of depressive symptoms and substance use and their relation to longer-term hazardous substance use and mental health problems: Examining mutual maintenance using monthly data from young adults","authors":"Isaac C. Rhew,&nbsp;Scott Graupensperger,&nbsp;Griselda Martinez,&nbsp;Christine M. Lee","doi":"10.1016/j.addbeh.2025.108326","DOIUrl":"10.1016/j.addbeh.2025.108326","url":null,"abstract":"<div><div>The current study examined whether young adults showing a pattern of greater substance use on months when experiencing greater levels of depressive symptoms showed long-term hazardous alcohol and cannabis use and elevated depressive symptoms. Data were from 772 young adults in Washington State (mean age <em>=</em> 21.1 years, <em>SD</em> = 1.7; 57 % female). For 24 consecutive months, surveys asked about past-month depressive symptoms and typical number of alcoholic drinks per week and typical number hours high on cannabis per week. Participants completed a survey 30 months after baseline that included measures of depressive symptoms and hazardous alcohol and cannabis use. Multilevel models showed substantial variability in monthly within-person associations of depressive symptoms with alcohol and cannabis use across individuals during the first 24 months. On months when experiencing increased depressive symptoms compared to their average, some young adults used more alcohol or cannabis and some used less. When linking outcomes at 30-month follow-up to person-specific slopes extracted from the multilevel models, results showed that young adults who tended to drink more or use more cannabis when they experienced more depressive symptoms than their average reported greater levels of hazardous alcohol and cannabis use at 30-month follow-up, respectively. Person-specific slopes were not associated with 30-month depressive symptoms. Although there was substantial variability in within-person monthly associations, findings suggest that young adults showing short-term patterns consistent with increased alcohol and cannabis use to regulate depressive symptoms may benefit from prevention and intervention efforts aimed at decreasing risk of longer-term problematic substance use.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108326"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636778","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":"People are not becoming “AIholic”: Questioning the “ChatGPT addiction” construct","authors":"Víctor Ciudad-Fernández ,&nbsp;Cora von Hammerstein ,&nbsp;Joël Billieux","doi":"10.1016/j.addbeh.2025.108325","DOIUrl":"10.1016/j.addbeh.2025.108325","url":null,"abstract":"<div><div>Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in many daily life spheres, even sparking scholarly debate about a potential “ChatGPT addiction.” Throughout history, new technologies have repeatedly been associated with widespread concerns and “moral panics,” especially when their adoption is sudden and involves significant changes in daily functioning. It is thus no surprise that researchers have examined whether intensive use of ChatGPT can be considered an addictive behavior. At least four scales measuring ChatGPT addiction have been developed so far, all framed after substance use disorder criteria. Drawing parallels with previous cases of pathologizing everyday behaviors, we caution against labeling and defining intensive or habitual chatbot use as addictive behavior. To label a behavior as addictive, there must be convincing evidence of negative consequences, impaired control, psychological distress, and functional impairment. However, the existing research on problematic use of ChatGPT or other conversational AI bots fails to provide such robust scientific evidence. Caution is thus warranted to avoid (over)pathologization, inappropriate or unnecessary treatments, and excessive regulation of tools that have many benefits when used in a mindful and regulated manner.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108325"},"PeriodicalIF":3.7,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591827","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":"Communication attributes modify the anxiety risk associated with problematic social media use: Evidence from a prospective diary method study","authors":"Chenziheng Allen Weng ,&nbsp;Jahshara Bulgin ,&nbsp;Savannah Diaz ,&nbsp;Jiafang Zhang ,&nbsp;Runzi Tan ,&nbsp;Le Li ,&nbsp;Mari Armstrong-Hough","doi":"10.1016/j.addbeh.2025.108324","DOIUrl":"10.1016/j.addbeh.2025.108324","url":null,"abstract":"<div><h3>Purpose</h3><div>Social media use in younger people has shown mixed associations with mental health. We hypothesized that communication types during social media use might alter the relationship between problematic social media use (PSMU) and anxiety over time. We aimed to identify how four dimensions of communication influence the link between PSMU and anxiety.</div></div><div><h3>Methods</h3><div>We recruited a cohort of undergraduate students aged 18–26 to participate in daily surveys over two weeks using a diary method to assess daily social media use, PSMU, anxiety symptoms, and the four dimensions of communication: Consumption, Broadness, Online Exclusivity, and Parasociality. Lagged logistic regression models with generalized estimating equations evaluated the influence of daily PSMU and communication type on subsequent anxiety levels.</div></div><div><h3>Results</h3><div>Out of 79 participants, 1009 daily records were analyzed. PSMU positively correlated with anxiety (Kendall rank correlation τ = 0.30). Interaction analysis indicated that levels of parasociality and consumption moderated the association between PSMU components and anxiety outcomes. In young adults with high levels of consumption or parasociality, a 1-standard-deviation rise in PSMU’s social conflict component led to an 11 %-13 % increase in next-day anxiety scores. This association was absent for those with low to moderate levels of parasociality and consumption.</div></div><div><h3>Discussion</h3><div>Elevated levels of passive consumption and one-sided interactions amplify the anxiety risk associated with PSMU. Further longitudinal evidence can elucidate the connections between communication types, social media exposure, and anxiety, guiding the development of a model for healthy social media use.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108324"},"PeriodicalIF":3.7,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591826","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":"Commentary on Erinoso et al. (2024): Prior use of smoking cessation products among smokers willing to quit smoking who have substance use problems","authors":"Stéphanie Baggio ,&nbsp;Anna Schoeni ,&nbsp;Philip Bruggmann ,&nbsp;Julian Jakob ,&nbsp;Reto Auer","doi":"10.1016/j.addbeh.2025.108312","DOIUrl":"10.1016/j.addbeh.2025.108312","url":null,"abstract":"","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108312"},"PeriodicalIF":3.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549406","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":"E-cigarette use among a national sample of adults receiving substance use treatment in the United States","authors":"Omar El-Shahawy ,&nbsp;Michelle He ,&nbsp;Olivia Korostoff-Larsson ,&nbsp;Shadi Nahvi ,&nbsp;Joseph J. Palamar","doi":"10.1016/j.addbeh.2025.108314","DOIUrl":"10.1016/j.addbeh.2025.108314","url":null,"abstract":"<div><h3>Background</h3><div>Smoking among adults in substance use disorder (SUD) treatment programs is common with limited success in quitting. Given e-cigarettes’ potential for smoking harm reduction, it is important to examine e-cigarette use among people in SUD treatment.</div></div><div><h3>Methods</h3><div>We analyzed data from adults who have received SUD treatment in the past year, from the 2020–2021 National Survey on Drug Use and Health (N = 1,246). We delineated correlates of lifetime and current (past-month) use e-cigarette use.</div></div><div><h3>Results</h3><div>Among adults receiving SUD treatment, an estimated 39.4 % (95 % CI: 34.1, 45.1) have used e-cigarettes in their lifetime and 19.5 % (95 % CI: 16.1, 23.6) of those currently vape. Among those reporting current vaping, an estimated 57.3 % (95 % CI: 44.9–68.8) currently smoke cigarettes and half (54.2 % [95 % CI: 41.1–66.7]) currently use cannabis. Compared to those who only received treatment for alcohol use disorder, those receiving treatment for drug use (aPR = 1.47, 95 % CI: 1.09–1.99) and alcohol and drug use (aPR = 1.60, 95 % CI: 1.16–2.22) had higher prevalence of lifetime e-cigarette use, and those reporting treatment for drug use only (aPR = 2.60, 95 % CI: 1.52–4.46) and alcohol and drug use (aPR = 2.82, 95 % CI: 1.63–4.87) also had higher prevalence of current e-cigarette use.</div></div><div><h3>Conclusions</h3><div>The prevalence of e-cigarette use was higher among those in treatment for both drug or alcohol and drugs only than those receiving treatment for only alcohol use. Smoking harm reduction interventions can potentially include e-cigarette among those receiving drug treatment. There is also a need to address challenges of dual e-cigarette and cigarette use, as well as dual e-cigarette use with cannabis.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108314"},"PeriodicalIF":3.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621443","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":"Associations among screen time, depressive symptoms and sleep in early adolescents: A sex-disaggregated cross-lagged network analysis","authors":"Jiahui Chen,&nbsp;Xiao Wei,&nbsp;Yuke Xiong,&nbsp;Ping Ren","doi":"10.1016/j.addbeh.2025.108321","DOIUrl":"10.1016/j.addbeh.2025.108321","url":null,"abstract":"<div><h3>Background</h3><div>Prior research has established associations among screen time, depressive symptoms, and sleep. However, the nuances of these associations, particularly regarding directionality and sex-specific differences among early adolescents, remain insufficiently understood. This study aimed to investigate sex differences in the longitudinal associations among screen time, depressive symptoms, and sleep at the symptom level during early adolescence.</div></div><div><h3>Methods</h3><div>Our cohort consisted of 2987 students (1451 boys at T1; <em>M</em>age = 10.52 years), who were assessed twice over six-month intervals. Sex-stratified analyses in the network associations among screen time, depressive symptoms, and sleep were examined via a cross-lagged panel network modeling approach.</div></div><div><h3>Results</h3><div>The results revealed that depressive symptoms such as “feeling unloved” for <em>boys</em> and “sadness” for <em>girls</em> were the most central symptoms with the greatest influence on other symptoms. Furthermore, depressive symptoms such as “crying” and “loneliness” for <em>boys</em> and “self-hatred” and “loneliness” for <em>girls</em> may act as bridge symptoms, significantly forecasting excessive screen time after six months.</div></div><div><h3>Conclusions</h3><div>Our findings bolster the compensatory internet use theory by suggesting that screen time may function as a coping mechanism for managing depressive symptoms and sleep problems. These findings advance our comprehension of the evolving dynamics among screen time, depressive symptoms, and sleep across sexes over time. The development of targeted prevention and intervention strategies that accommodate these sex differences could be instrumental in curtailing the onset or intensification of problematic screen use among early adolescents.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108321"},"PeriodicalIF":3.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579550","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":"Antisocial and prosocial behaviors as predictors of subsequent substance use in adolescence","authors":"Simon Jangard ,&nbsp;Andreas Olsson ,&nbsp;Yasmina Molero ,&nbsp;Nitya Jayaram-Lindström ,&nbsp;Jonas Raninen","doi":"10.1016/j.addbeh.2025.108308","DOIUrl":"10.1016/j.addbeh.2025.108308","url":null,"abstract":"<div><h3>Background</h3><div>Antisocial behavior is a known risk factor for substance use in adolescence, but the combined effects of antisocial and prosocial behaviors are unknown. This study examined whether five types of anti- and prosocial behaviors are associated with subsequent alcohol and substance use.</div></div><div><h3>Methods</h3><div>A prospective longitudinal cohort study of 3817 adolescents (55.3% females) aged 15 at baseline (T1) and 17 at follow-up (T2). Self-reports at T1 measured antisocial behaviors (criminal behavior, conduct problems) and prosocial behaviors (global prosociality, general trust, institutional trust). T2 measures included alcohol use (hazardous use, alcohol use disorder), drug use, and nicotine use.</div></div><div><h3>Results</h3><div>Antisocial behaviors positively predicted all types of substance use (X² = 5.79 to 59.07, <em>p</em> &lt; 0.001), while prosocial behaviors negatively predicted most substance use measures (X² = -5.64 to 86.14, <em>p</em> = 0.862 to &lt; 0.001). After adjusting for covariance between antisociality and prosociality, it was found that conduct problems (X² = 5.54 to 32.22, <em>p</em> = 0.005 to &lt; 0.001), criminal behavior (X² = 3.61 to 33.77, <em>p</em> = 0.007 to &lt; 0.001), and institutional trust (X² = -3.92 to 27.56, <em>p</em> = 0.262 to &lt; 0.001), were the most important predictors.</div></div><div><h3>Conclusions</h3><div>Antisocial behaviors and deficits in institutional trust at age 15 are strong and unique predictors of substance use and alcohol use disorder by age 17. This specific spectrum of social behaviors during the critical phase of adolescence is of relevance from a prevention perspective to minimize the risk of later development of substance abuse.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108308"},"PeriodicalIF":3.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549405","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}