Addictive behaviors最新文献

{"title":"The effects of cannabis use disorder on cognitive functions: A meta-analysis","authors":"Florence Pilon ,&nbsp;Alexandre Dumais ,&nbsp;Charles-Édouard Giguère ,&nbsp;Stéphane Potvin","doi":"10.1016/j.addbeh.2025.108434","DOIUrl":"10.1016/j.addbeh.2025.108434","url":null,"abstract":"<div><h3>Background and aims</h3><div>Impairments in cognition are frequently associated with acute cannabis consumption; on the other hand, controversies persist regarding the residual cognitive impairments of cannabis, with some estimates highlighting significant or mild cognitive impairment. One of the main limitations of the available research syntheses is that little attention has been paid to individuals with cannabis use disorder. Thus, our main objectives are to determine the amplitude of the cognitive deficits associated with cannabis use disorder, and to identify the cognitive domains the most and least impaired.</div></div><div><h3>Methods</h3><div>Studies with a patient group with a cannabis use disorder diagnosis and data from at least one validated neurocognitive test were selected. After manual extraction, data were pooled in a multivariate meta-analysis and effect size estimates were calculated for 13 cognitive domains. Meta-regression analyses on potential moderators were performed.</div></div><div><h3>Findings</h3><div>There were small-to-moderate impairments in 10 out of the 13 cognitive domains. Deficits in verbal learning/memory, speed of processing and working memory were more prominent (d = 0.4/0.5) whereas verbal fluency and attention were the least affected. No association was observed between the potential moderators and global cognition.</div></div><div><h3>Conclusion</h3><div>This meta-analysis shows that cannabis use disorder is associated with moderate deficits in verbal learning/memory, speed of processing and working memory. Despite the limitation of the studies in the field, our results should serve as a reminder that the residual cognitive impairments associated with cannabis should not be under-estimated prematurely.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108434"},"PeriodicalIF":3.7,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634438","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":"Effectiveness of preventive gambling interventions in adolescents: a systematic review and meta-analysis","authors":"Fatemeh Talebi ,&nbsp;Fatemeh Bazrafshan","doi":"10.1016/j.addbeh.2025.108436","DOIUrl":"10.1016/j.addbeh.2025.108436","url":null,"abstract":"<div><h3>Background and Objectives</h3><div>This systematic review and <em>meta</em>-analysis aim to evaluate the effectiveness of gambling prevention interventions for adolescents, identify key factors influencing intervention outcomes, and provide evidence-based recommendations for future prevention efforts.</div></div><div><h3>Methods</h3><div>A systematic search was conducted using databases such as PubMed, SCOPUS, ISI Web of Science, Cochrane Library, and Google Scholar up to May 2025. The review followed PRISMA guidelines, and the quality of included studies was assessed using standardized tools. Data were synthesized using <em>meta</em>-analytic techniques to calculate the effect size, which was reported as a weighted mean differences (WMD) and 95% confidence interval (CI).</div></div><div><h3>Results</h3><div>This <em>meta</em>-analysis included 15 studies with a total sample of 4,201 adolescents. Overall, gambling prevention programs demonstrated a statistically significant reduction in gambling behaviors among adolescents (WMD: −3.26, 95 % CI: −3.92 to −2.60, P &lt; 0.001). However, the certainty evidence was very low as assessed by the GRADE evidence profiles, indicating potential limitations in study quality, inconsistency, and risk of bias. Publication bias was assessed using funnel plot analysis and Egger’s test, indicating absence of significant bias.</div></div><div><h3>Conclusions</h3><div>The findings suggest that gambling prevention programs may be effective in reducing adolescent gambling behaviors, but the results should be interpreted with caution due to the low certainty of the evidence. Future research should focus on optimizing intervention design, long-term effectiveness, and the role of digital prevention strategies to enhance effectiveness.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108436"},"PeriodicalIF":3.7,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631860","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 between HEXACO personality traits, substance use disorders, and behavioral addictions: a systematic review and meta-analysis","authors":"Farangis Sharifibastan ,&nbsp;Ståle Pallesen ,&nbsp;Katharina Teresa Enehaug Morken ,&nbsp;Petter Haave ,&nbsp;Eilin Kristine Erevik","doi":"10.1016/j.addbeh.2025.108433","DOIUrl":"10.1016/j.addbeh.2025.108433","url":null,"abstract":"<div><h3>Background</h3><div>This study presents the first systematic review and meta-analysis examining the associations between the HEXACO personality traits, substance use disorders (SUDs), and behavioral addictions.</div></div><div><h3>Methods</h3><div>A comprehensive search was conducted on the databases APA PsycINFO (Ovid), Medline (Ovid), ProQuest, Web of Science, CINAHL, and Wiley Online Library, with a supplementary search on Google Scholar. Studies were included if they were empirical, published in peer-reviewed journals or as dissertations, investigated the association between HEXACO personality traits, SUDs, and behavioral addictions, and reported zero-order correlations or sufficient data for such calculations. Case studies and qualitative studies were excluded. Two reviewers independently screened studies, extracted data, and assessed risk of bias using the Newcastle-Ottawa Scale. Random effects models were used to estimate pooled effect sizes for behavioral addictions. For SUD analyses, fixed effects model was applied as only two studies were available per trait.</div></div><div><h3>Results</h3><div>Nineteen studies with a total of 9,478 participants were included. Meta-analytic results showed statistically significant inverse associations between behavioral addictions and honesty-humility (−0.339, 95 % CI = −0.433, −0.237), extraversion (−0.197, 95 % CI = −0.321, −0.066), agreeableness (−0.336, 95 % CI = −0.478, −0.177), conscientiousness (−0.317, 95 % CI = −0.410, −0.218), and openness to experience (−0.201, 95 % CI = −0.322, −0.073), while emotionality showed a statistically significant positive association (0.212, 95 % CI = 0.094, 0.324). For SUDs, analyses demonstrated statistically significant inverse associations with honesty-humility (−0.226, 95 % CI = −0.298, −0.150) and conscientiousness (−0.157, 95 % CI = −0.232, −0.081), while other traits showed non-significant associations. Significant heterogeneity was observed across studies. Meta-regressions showed that gender and age moderated the relationship between agreeableness and behavioral addictions, while gender also moderated the relationship between extraversion and behavioral addictions.</div></div><div><h3>Conclusions</h3><div>This meta-analysis provides strong empirical evidence for an association between HEXACO personality traits and addictions. The findings suggest that incorporating HEXACO trait assessments may be beneficial in planning and targeting interventions for individuals with addictions, but that the population in question also should be taken into account.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108433"},"PeriodicalIF":3.7,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614036","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":"Characteristics associated with medication adherence in a randomized clinical trial of multiple pharmacotherapy adaptations based on treatment response in black adults who smoke","authors":"Erica Cruvinel ,&nbsp;Alexandra Brown ,&nbsp;Amanda Pritchard ,&nbsp;Matthew S. Mayo ,&nbsp;Lisa Sanderson Cox ,&nbsp;Eleanor L.S. Leavens ,&nbsp;Nicole L. Nollen","doi":"10.1016/j.addbeh.2025.108431","DOIUrl":"10.1016/j.addbeh.2025.108431","url":null,"abstract":"<div><h3>Introduction</h3><div>Pharmacotherapy is a key component of evidence-based smoking cessation treatment and a major predictor of success in quitting. However, most people attempting to quit in clinical trials fail to fully adhere to their pharmacological treatments.</div></div><div><h3>Aims and methods</h3><div>To assess factors associated with adherence to smoking cessation pharmacotherapies among Black adults participating in a clinical trial and to understand reasons for non-adherence to treatment. Data came from 333 participants enrolled in a randomized clinical trial of adapted therapy (ADT) or enhanced usual care (UC) for smoking cessation. Medication adherence was defined as taking at least 80 % of the prescribed medication for the entire treatment. Characteristics associated with 18-week adherence included demographic, psychosocial, smoking characteristics, substance use, medication experience, early treatment response, and adverse events. A best-subsets regression analyses were performed with all characteristics, and descriptive statistics were used to summarize the reasons for non-adherence to medication.</div></div><div><h3>Results</h3><div>One hundred seventy-seven participants were compliant with their medication. Participants randomized to the ADT (OR = 2.40, 95 % CI = 1.52–3.81, p &lt; 0.001) and with more positive medication experience (OR = 1.28, 95 % CI = 1.14–1.45, p &lt; 0.001) were more likely to be adherent to study medications. The most common reason for non-adherence was “forgetting or losing the medication” (49.1 %).</div></div><div><h3>Conclusions</h3><div>Over half of our sample were adherent to their pharmacotherapy, and those randomized to adaptive therapy, coupled with a positive experience with their medication, exhibited better overall compliance with their long-term pharmacotherapy. Reasons for not taking medications were similar to the existing literature.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108431"},"PeriodicalIF":3.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631885","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":"The Impact of Smoking Cues on Working Memory: Evidence from the Drift-Diffusion Model and EEG","authors":"Jiayue Zou ,&nbsp;Yawei Qi ,&nbsp;Shaoyu Tu ,&nbsp;Yifei Zhang ,&nbsp;Haichao Zhao ,&nbsp;Jiali Liu ,&nbsp;Ofir Turel ,&nbsp;Hanlin Cheng ,&nbsp;Qinghua He","doi":"10.1016/j.addbeh.2025.108430","DOIUrl":"10.1016/j.addbeh.2025.108430","url":null,"abstract":"<div><div>Repeated nicotine exposure can lead to cognitive changes, including working memory. However, we have a limited understanding of such changes. To address this gap, 48 smokers participated in smoking-specific N-back tasks involving smoking and neutral cues under different working memory loads (1-back and 2-back), while EEG data were recorded. By employing drift–diffusion model and EEG analysis, we examined how cue types and working memory loads modulate behavioral performance and identified the underlying cognitive processes and neural correlates. The results showed decreased accuracy across working memory loads and slower reaction times specifically in the low working memory load condition when exposed to smoking cues. Drift-diffusion model analysis suggested that these effects may stem from reduced drift rate and a lower decision threshold. These behavioral differences between cue types were mirrored in the neural activity, with smoking cues eliciting smaller P300 amplitudes, decreased alpha and beta power under both working memory loads, and increased positive slow wave predominantly at low working memory load. Furthermore, negative correlations were observed between nicotine craving and behavior performance (i.e., accuracy), drift–diffusion model parameters (i.e., drift rate and decision threshold) and EEG data (i.e., alpha and beta power). These findings enhance our understanding of how smoking cues affect cognitive processing and the neural mechanisms of working memory in smokers.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108430"},"PeriodicalIF":3.7,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604536","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":"Profiles of cannabis use and expense-related factors among US young adults","authors":"Yuxian Cui ,&nbsp;Darcey M. McCready ,&nbsp;Katelyn F. Romm ,&nbsp;Cassidy R. LoParco ,&nbsp;Morgan Speer ,&nbsp;Rishika Chakraborty ,&nbsp;Jessica Williams ,&nbsp;Patricia A. Cavazos-Rehg ,&nbsp;Yan Wang ,&nbsp;Y. Tony Yang ,&nbsp;Carla J. Berg","doi":"10.1016/j.addbeh.2025.108428","DOIUrl":"10.1016/j.addbeh.2025.108428","url":null,"abstract":"<div><h3>Objectives</h3><div>Given the changing cannabis policy and retail environment, this study examined profiles of young adults with differing cannabis cost-related behaviors and perceptions (e.g., products used, impact of cost) and their associations with use-related outcomes.</div></div><div><h3>Methods</h3><div>Using 2024 survey data among 1,359 US young adults reporting past-month cannabis use (M_age = 26.95, 61.4 % female, 20.7 % Hispanic, 17.9 % Black, 7.7 % Asian), latent class analysis (LCA) was conducted; indicators were perceived cost of cheapest product ($1–10; &gt;$10), impact of cost on use (low; moderate; high), monthly cannabis expenditures ($0–25, $26–100, &gt;$100), past-month use days (1–5; 6–20; ≥21), and product type (bud/herb; edibles; oils/vape; concentrates/other). Multivariable analysis assessed sociodemographics in relation to class (multinomial logistic regression), then class in relation to use-related outcomes (next-year use intentions, problematic use; linear regression).</div></div><div><h3>Results</h3><div>LCA identified 4 classes: 1) ‘Price-insensitive, low-spend, low-level bud/edible use’ (36.1 %); 2) ‘Semi-price-sensitive, high-spend, high-level bud/oil/concentrate use’ (31.9 %); 3) ‘Semi-price-sensitive, moderate-spend, mid-level oil/other product use’ (24.1 %); and 4) ‘Price-sensitive, high-spend, mid-level mixed product use’ (7.9 %). Compared to Class 1 (referent): Class 2 was older, more likely &lt; bachelor’s (vs. ≥ bachelor’s) degree educated, cohabitating (vs. single/other), and parents, but less likely Asian (vs. White); Class 3 was more likely Black and &lt; bachelor’s degree educated, but less likely with other (vs. full-time) employment; and Class 4 was more likely Black and food insecure. In multivariable regression, relative to Class 1, other classes had higher use intentions and more problematic use.</div></div><div><h3>Conclusions</h3><div>Regulatory and educational efforts must address young adults with higher risk indicators and potentially related disparities.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108428"},"PeriodicalIF":3.7,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571657","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":"Cannabis and driving: A repeat cross-sectional analysis of driving after cannabis use pre- vs. post-legalization of recreational cannabis in Canada","authors":"Ava Kucera,&nbsp;David Hammond","doi":"10.1016/j.addbeh.2025.108419","DOIUrl":"10.1016/j.addbeh.2025.108419","url":null,"abstract":"<div><h3>Objective</h3><div>The potential impact of cannabis legalization on driving after cannabis use is an important public health consideration. The current paper examined the prevalence of driving after cannabis use and being a passenger of a driver who recently consumed cannabis pre- and five years post- legalization of recreational cannabis.</div></div><div><h3>Method</h3><div>National population-based surveys were conducted annually between 2018 and 2023 as part of the International Cannabis Policy Study (ICPS). A total of 93,933 participants aged 16–65 years from Canada were included in the analysis. Logistic regression models assessed trends in driving after cannabis use by age, sex-at-birth, income adequacy, ethnicity, and educational attainment.</div></div><div><h3>Results</h3><div>In 2018, 5.7 % of all respondents and 19.9 % of past 12-month consumers reported driving within 2 h of cannabis consumption in the past year. Driving after consumption increased moderately in the five years post legalization among all participants, with a significantly higher prevalence reported in 2022 (8.8 % vs. 5.7 %, OR = 1.43, 95 % CI = 1.22, 1.66, p &lt; 0.001) and 2023 (7.6 % vs. 5.7 %, OR = 1.20, 95 % CI = 1.03, 1.40, p = 0.018) than in 2018. However, driving after consumption remained stable among past 12-month consumers, with a moderately lower prevalence in 2023 than in 2018 (18.3 % vs. 19.9 %, OR = 0.81, 95 % CI = 0.68, 0.97, p = 0.024).</div></div><div><h3>Conclusions</h3><div>The increase in the overall rate of driving after use likely reflects the increase in consumption among all Canadians following recreational cannabis legalization. There was no evidence to support changes in the overall prevalence of passenger behaviour following legalization. Differences across sociodemographic variables are discussed.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108419"},"PeriodicalIF":3.7,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562996","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":"Method and frequency of cannabis use: Results from the 2023 Behavioral Risk Factor Surveillance System","authors":"Stephen M. Amrock ,&nbsp;Karmen Brar ,&nbsp;Nicolette Pennington ,&nbsp;Agata J. Sajkiewicz","doi":"10.1016/j.addbeh.2025.108418","DOIUrl":"10.1016/j.addbeh.2025.108418","url":null,"abstract":"<div><h3>Background</h3><div>Cannabis use remains common in the United States as legal and social norms evolve. Few studies have assessed cannabis use patterns, which is important for public health planning.</div></div><div><h3>Methods</h3><div>Data from 119,068 individuals who responded to cannabis-related questions in the 2023 Behavioral Risk Factor Surveillance System, a national, cross-sectional survey, were analyzed. Cross-tabulations and logistic regression models were constructed to investigate patterns of cannabis use by demographic, health, and substance use correlates. A negative binomial regression was used to examine correlates of cannabis use frequency.</div></div><div><h3>Results</h3><div>Past-30-day cannabis use was common (14.7 %, 95 % CI: 14.3–15.1 %), of whom 77.1 % (95 % CI: 75.8–78.4 %) smoked, 44.3 % (95 % CI: 42.7–45.9 %) ingested, 32.7 % (95 % CI: 31.2–34.3 %) vaped, and 14.0 % (95 % CI: 12.8–15.2) dabbed. Most commonly, individuals either exclusively smoked (35.4 %, 95 % CI: 33.8–36.9 %) or ingested (15.2 %, 95 % CI: 14.1–16.2 %). Exclusive vaping was uncommon (3.1 %; 95 % CI 2.6–3.6 %), though a large minority (32.7 %; 95 % CI: 31.2–34.3 %) reported vaping, typically as part of a multimodal use pattern. Multimodal cannabis use was associated with increased use frequency. Tobacco smoking and cannabis smoking (OR 3.65, 95 % CI: 2.97–4.49), and e-cigarette use and cannabis vaping (OR 3.58, 95 % CI: 2.99, 4.28) were highly corelated.</div></div><div><h3>Conclusion</h3><div>Exclusive smoking or ingesting were the most common cannabis use patterns; 3 of 5 cannabis users used one or both of those modalities. A significant minority use multiple cannabis modalities, but rarely exclusively vape or dab. Robust associations were identified between cannabis smoking and tobacco use, and between cannabis vaping and e-cigarette use.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108418"},"PeriodicalIF":3.7,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556684","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":"Links between young adults’ reasons for trying electronic nicotine delivery systems (ENDS), smoking history, and prospective cigarette and ENDS use","authors":"Max A. Halvorson ,&nbsp;Marina Epstein ,&nbsp;A. Karryn Satchell ,&nbsp;Alyssa Paulette ,&nbsp;Sabrina Oesterle ,&nbsp;Margaret R. Kuklinski","doi":"10.1016/j.addbeh.2025.108420","DOIUrl":"10.1016/j.addbeh.2025.108420","url":null,"abstract":"<div><h3>Introduction</h3><div>Electronic nicotine delivery system (ENDS) use has become nearly as prevalent among young adults as cigarette use. Although a growing body of literature investigates the reasons young adults initiate ENDS use, little is known about how these reasons relate to subsequent nicotine use. Understanding how reasons for trying ENDS relate both to prior cigarette use and to subsequent patterns of cigarette and ENDS use may help to identify future higher- and lower-risk nicotine use.</div></div><div><h3>Methods</h3><div>Using data from a community longitudinal study, we examined lifetime cigarette use prior to age 23, reasons for trying ENDS reported at age 23, and cigarette and ENDS use at age 26 among 977 young adults who had tried ENDS by age 23.</div></div><div><h3>Results</h3><div>Compared to those who had never or infrequently smoked cigarettes, current and former smokers were more likely to try ENDS to quit or cut down on cigarette use, to try a safer alternative to cigarettes, and/or out of curiosity. Participants who reported trying ENDS to quit cigarettes or to try a safer alternative (vs. those who didn’t) were more likely to use cigarettes and ENDS 3 years later and use in higher quantities. Trying out of curiosity was associated with less cigarette and ENDS use, while trying for the available flavors was related to more ENDS but not cigarette use.</div></div><div><h3>Conclusions</h3><div>Young adults’ reasons for trying ENDS indicate risk for future cigarette and ENDS use and could have clinical utility in identifying young adults who might benefit from preventive interventions.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108420"},"PeriodicalIF":3.7,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631861","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":"Exploring the influence of parenting styles and childhood abuse on impulsivity in young and middle-aged patients with new drug dependency: A network analysis","authors":"Shumei Zhuang ,&nbsp;Yuelin Song ,&nbsp;Shimei Jin ,&nbsp;Xiaoxu Shang ,&nbsp;Yan Liu ,&nbsp;Lei Shi ,&nbsp;Yitong Qu ,&nbsp;Yinan Zhang ,&nbsp;Yannan Chen ,&nbsp;Lehan Li","doi":"10.1016/j.addbeh.2025.108423","DOIUrl":"10.1016/j.addbeh.2025.108423","url":null,"abstract":"<div><h3>Background</h3><div>New drug dependency poses a significant threat to global mental health and behavior. Impulsivity − defined as poor self-control and delay discounting − is a well-established risk factor for substance abuse and relapse. Although childhood experiences are known to influence impulsivity, the specific roles of parenting styles and childhood abuse to new drug dependency remain underexplored.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 1,042 patients with new drug dependency. Data were collected using the Revised Short-Form Egna Minnen av Barndoms Uppfostran for Chinese, Childhood Trauma Questionnaire-Short Form, and Barratt Impulsivity Scale-11. Network analysis identified key items and interactions, with central and bridge nodes determined using the <em>qgraph</em> and <em>networktools</em> packages. The <em>bootnet</em> package was used to assess network stability.</div></div><div><h3>Results</h3><div>Impulsivity was used as the dependent variable. I2 (Motor Impulsivity) − F9 (Emotional Abuse), I1 (Nonplanning Impulsivity) − F9 (Emotional Abuse), and I3 (Attentional Impulsivity) − F11 (Sexual Abuse) showed notable correlations. F5 (Father’s Overprotection) had the strongest centrality, marking it as a key factor, followed by F9 (Emotional Abuse). Additionally, I2 (Motor Impulsivity) and F9 (Emotional Abuse) emerged as two key bridge nodes linking distinct communities.</div></div><div><h3>Conclusions</h3><div>Father’s overprotection and emotional abuse may have a significant impact on impulsivity of patients with new drug dependency. Motor impulsivity and emotional abuse serve as bridges in different directions. Addressing these issues may enhance intervention effectiveness and reduce relapse risk in patients.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"170 ","pages":"Article 108423"},"PeriodicalIF":3.7,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556604","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}