Addictive behaviors最新文献

{"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 , Anna Schoeni , Philip Bruggmann , Julian Jakob , 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":"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}

{"title":"Problematic social media use and inhibitory control among post-secondary students","authors":"Holly Shannon ,&nbsp;Matteo Montgomery ,&nbsp;Synthia Guimond ,&nbsp;Kim Hellemans","doi":"10.1016/j.addbeh.2025.108307","DOIUrl":"10.1016/j.addbeh.2025.108307","url":null,"abstract":"<div><h3>Introduction</h3><div>Problematic social media use (PSMU) parallels traditional characteristics of substance use disorders, including salience, functional impairment, and tolerance. An excessive focus on social reward and engaging in negative behaviors on social media may decrease certain executive functions. However, the role of how inhibitory control processes manifest in PSMU are not well understood. The current study aims to explore both the presence of inhibitory control impairments and harmful online behaviors, such as negative social comparison, in problematic social media use.</div></div><div><h3>Methods</h3><div>A population of emerging adults (undergraduate university students; N = 503) completed several online questionnaires assessing problematic social media use, trait impulsivity, and negative social comparison on social media. An online Go-Nogo and Iowa Gambling Task were administered to further evaluate inhibitory control.</div></div><div><h3>Results</h3><div>Higher problematic social media use was significantly positively correlated with trait impulsivity, but not Go-Nogo or Iowa Gambling task performance. Negative social comparison on social media was a stronger predictor of PSMU, compared to inhibitory control measures. However, social comparison did not significantly interact with inhibitory control measures when predicting PSMU. When exploring subtypes of impulsivity, the strongest correlation with PSMU was observed with cognitive instability and attentional impulsivity.</div></div><div><h3>Conclusions</h3><div>Our results suggest that aspects of impaired inhibitory control—namely, cognitive instability and attentional impulsivity—are present in problematic social media use. Understanding the interplay between features of addiction and the unique context of online socialization, such as negative social comparison, is central to defining problematic social media use as a potential behavioral addiction.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"165 ","pages":"Article 108307"},"PeriodicalIF":3.7,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510718","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":"Finding purpose: Integrated latent profile and machine learning analyses identify purpose in life as an important predictor of high-functioning recovery after alcohol treatment","authors":"Frank J. Schwebel,&nbsp;Adam D. Wilson,&nbsp;Matthew R. Pearson,&nbsp;Matison W. McCool,&nbsp;Katie Witkiewitz","doi":"10.1016/j.addbeh.2025.108273","DOIUrl":"10.1016/j.addbeh.2025.108273","url":null,"abstract":"<div><h3>Background</h3><div>Recent investigations of recovery from alcohol use disorder (AUD) have distinguished subgroups of high and low functioning recovery in data from randomized controlled trials of behavioral treatments for AUD. Analyses considered various indicators of alcohol use, life satisfaction, and psychosocial functioning, and identified four recovery profiles from AUD three years following treatment.</div></div><div><h3>Objectives</h3><div>The present study integrates these profiles into a two-part machine learning framework, using recursive partitioning and random forests to distinguish a) clinical cut-points across 28 end-of-treatment biopsychosocial measurements that are predictive of high or low functioning recovery three years after treatment; and b) a rank-ordered list of the most salient variables for predicting individual membership in the high-functioning recovery sub-groups. Methods: This secondary data analysis includes individuals (n = 809; 29.7% female) in the outpatient arm of Project MATCH who completed the end-of-treatment assessment and three-year follow-up batteries.</div></div><div><h3>Results</h3><div>Recursive partitioning found individuals with low depressive symptoms and less than 25% drinking days were more likely to be in a high functioning recovery profile (68%), whereas those with at least mild depressive symptoms and low purpose in life were more likely to be in a low functioning recovery profile (70%). Random forests identified purpose in life, social functioning, and depressive symptoms as the best predictors of recovery profiles.</div></div><div><h3>Conclusions</h3><div>Recovery profiles are best predicted by variables often considered of secondary interest. We demonstrate the utility of two machine learning approaches, highlighting how random forests can overcome recursive partitioning limitations.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"165 ","pages":"Article 108273"},"PeriodicalIF":3.7,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510719","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 longitudinal association between problematic Internet use and psychotic-like experiences in adolescents: Mediated by sleep disturbance and moderated by psychological resilience","authors":"Luowei Bu,&nbsp;Haoxian Ye,&nbsp;Dongfang Wang,&nbsp;Wenxu Liu,&nbsp;Dan Chen,&nbsp;Fang Fan","doi":"10.1016/j.addbeh.2025.108306","DOIUrl":"10.1016/j.addbeh.2025.108306","url":null,"abstract":"<div><div>Problematic Internet use (PIU) has been empirically identified as a risk factor for future psychotic-like experiences (PLEs) among adolescents. This study aimed to examine the short-term predictive role of PIU on PLEs in adolescents and investigate their underlying mechanisms, focusing on the mediating role of sleep disturbance and the moderating role of psychological resilience. A total of 27,260 Chinese adolescents (52.2 % males, <em>Mean_age</em> = 14.33 ± 1.49) were included for analyses in this two-wave longitudinal study conducted six months apart. The baseline survey (time 1, T1) was between December 17 and 26, 2021, and the follow-up survey (time 2, T2) was between May 17 and June 5, 2022. Participants reported their socio-demographics, T1 PIU, T1 sleep disturbance, T1 resilience, T1 PLEs, T2 PLEs, and T2 negative life events. After controlling for socio-demographics, T1 PLEs, and T2 negative life events, T1 PIU exacerbated T2 PLEs directly and indirectly through T1 sleep disturbance, with T1 resilience moderating both parts of the mediation pathway. These findings provide novel insights into the mechanisms linking PIU to PLEs among adolescents and offer valuable implications for clinical practice and school policy.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108306"},"PeriodicalIF":3.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549403","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":"Patterns of substance-involved intimate partner violence perpetration: Findings from a daily diary study","authors":"Melissa R. Schick ,&nbsp;Ashley Clayton ,&nbsp;Christopher D. Maxwell ,&nbsp;Tami P. Sullivan","doi":"10.1016/j.addbeh.2025.108305","DOIUrl":"10.1016/j.addbeh.2025.108305","url":null,"abstract":"<div><h3>Background</h3><div>Previous work has linked substance use to intimate partner violence (IPV) perpetration, but the extent to which patterns of substance use influence patterns of IPV perpetration is unclear.</div></div><div><h3>Methods</h3><div>Women (N = 216, M_age = 40.7 years [SD = 13.1], 34.7 % Black, 26.9 % White) experiencing physical or repeated psychological IPV were recruited from the community and completed daily app-based surveys for 90 days, in which they reported their partner’s use of alcohol, cannabis, and other drugs, and their partner’s psychological, physical, and sexual IPV perpetration.</div></div><div><h3>Results</h3><div>Partner’s IPV perpetration was significantly more likely on days when partners used (versus did not use) any substances (OR = 2.25, 95 %CI [1.89, 2.67]). Substance use patterns (i.e., alcohol or cannabis use alone, alcohol-cannabis co-use, other drug use) varied with respect to whether they differentiated days with (versus without) IPV, psychological IPV alone, physical IPV without sexual IPV (with or without psychological IPV), and sexual IPV (with or without physical and psychological IPV). In large part, substance use patterns that included alcohol tended to increase the odds of same-day IPV perpetration. Specifically, alcohol use alone increased the odds of same-day psychological and physical IPV perpetration, and alcohol-cannabis co-use increased the odds of same-day physical and sexual IPV perpetration. Use of other drugs increased the odds of same-day sexual IPV perpetration.</div></div><div><h3>Conclusions</h3><div>Findings suggest particular patterns of substance use increased the risk of IPV perpetration. These patterns may represent higher-risk events that could be targeted by just-in-time interventions to reduce IPV, and support efforts targeting alcohol use in batterer invention programming.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"166 ","pages":"Article 108305"},"PeriodicalIF":3.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549404","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":"Alcohol and cannabis as sleep aids among adolescents and associations with sleep quality and problematic use","authors":"Clara Sancho-Domingo,&nbsp;José Luis Carballo,&nbsp;Ainhoa Coloma-Carmona,&nbsp;Antonia Pelegrín Muñoz,&nbsp;Carlos van-der Hofstadt","doi":"10.1016/j.addbeh.2025.108304","DOIUrl":"10.1016/j.addbeh.2025.108304","url":null,"abstract":"<div><h3>Background</h3><div>Using alcohol and cannabis as sleep aids is a growing concern among adolescents due to associated health risks. This study examined the prevalence of alcohol and cannabis self-medication practices among adolescents and explored the concurrent (Study I) and prospective (Study II) association with sleep quality and problematic use. Methods: One cross-sectional and one longitudinal (6-m onth interval) study were conducted. Participants comprised 1,121 Spanish adolescents aged 15 to 18 (57.1 % female) for Study I, and 221 for Study II (55.7 % female). Measures included sleep quality, pre-sleep cognitive and physical arousal, daytime sleepiness, and use of alcohol, cannabis, and self-medication. Multivariate analyses and Generalized Linear Mixed Models were applied. Results: In Study I, 8.6 % (n = 96) of adolescents reported past-m onth self-medication, which correlated with poor sleep, sleepiness, and higher pre-sleep physical arousal. Likewise, cannabis self-medication was associated with greater number of joints and problematic use. Study II showed a significant increase in self-medication rates after six months (from 6.3 % to 9.5 %). Regarding sleep, pre-sleep cognitive (OR = 1.3; 95 %CI = 1.0–1.8; p = 0.035) and physical arousal (OR = 1.1; 95 %CI = 1.0–1.1; p &lt; 0.001) predicted alcohol self-medication. Poor sleep predicted cannabis self-medication (OR = 1.9; 95 %CI = 1.0–3.5; p = 0.047), which in turn increased the probability of poor sleep (OR = 2.2; 95 %CI = 1.0–4.8; p = 0.045) and problematic use (OR = 1.9; 95 %CI = 1.2–2.9; p = 0.003). Conclusions: Self-medication practices are common among adolescents, with increasing trends over time. Adolescents rely on substances as sleep aids, worsening their sleep and increasing problematic use. Findings underscore the need for preventive strategies to enhance sleep quality and reduce substance use.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"165 ","pages":"Article 108304"},"PeriodicalIF":3.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474201","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":"Factors influencing perceptions of electronic cigarette and nicotine replacement therapy use among French smokers experiencing socioeconomic disadvantage: A latent class analysis","authors":"Marie Noel Al Zayat ,&nbsp;Maria Melchior ,&nbsp;Judith van der Waerden ,&nbsp;Sarah Mahdjoub ,&nbsp;Gladys Ibanez ,&nbsp;Fabienne El-Khoury","doi":"10.1016/j.addbeh.2025.108290","DOIUrl":"10.1016/j.addbeh.2025.108290","url":null,"abstract":"<div><h3>Background</h3><div>Smokers experiencing socioeconomic disadvantage have higher smoking rates and lower quit success compared to the general population. While nicotine replacement therapy (NRT) and electronic cigarettes (e-cigarettes) are effective smoking cessation aids, their use in this population is limited. We examine perceptions of NRT and e-cigarettes among low-income smokers.</div></div><div><h3>Methods</h3><div>We analyzed baseline data from 167 low-income smokers interested in reducing or quitting smoking but not currently using e-cigarettes, enrolled in the French STOP trial, a randomized controlled trial evaluating a preference-based smoking cessation intervention. Baseline measures included demographics, smoking habits, mental health, and perceptions of NRT and e-cigarettes. Latent Class Analysis (LCA) identified subgroups based on perceptions, and multinomial logistic regression examined associations between subgroup membership and predictors.</div></div><div><h3>Results</h3><div>Three subgroups emerged: “adopters” (44 %) with positive views of both aids, “doubters of e-cigarettes” (35 %) who found the tools easy to use but questioned the effectiveness of e-cigarettes, and “resistors” (21 %) with negative perceptions of both aids. Older age, not receiving social benefits, and absence of depressive symptoms were linked to being a “doubter of e-cigarettes”, while heavy smoking was associated with being a “resistor”. Previous NRT use increased the probability of being a “doubter of e-cigarettes”, whereas prior e-cigarettes use decreased the likelihood of belonging to the “doubters of e-cigarettes” and “resistors” groups.</div></div><div><h3>Conclusion</h3><div>Low-income smokers hold diverse perceptions of NRT and e-cigarettes influenced by age, financial difficulties, mental health, and previous quit attempts. Tailored cessation interventions addressing these factors into account may improve quit rates in this population.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"165 ","pages":"Article 108290"},"PeriodicalIF":3.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437802","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":"Adolescent extraversion and agreeableness predict adult alcohol use: A 22-Year prospective study","authors":"Ingmar H.A. Franken ,&nbsp;Peter Prinzie","doi":"10.1016/j.addbeh.2025.108303","DOIUrl":"10.1016/j.addbeh.2025.108303","url":null,"abstract":"<div><div>The Five Factor Model (FFM or Big 5) traits of extraversion, agreeableness, conscientiousness, neuroticism and openness, have all been associated with alcohol use. However, the vast majority of these studies have used cross-sectional designs, limiting the ability to evaluate the temporal relationships between childhood personality traits in adult alcohol use patterns.</div><div>In the current prospective community cohort study (N = 329), we examine the predictive value of FFM traits measured in childhood and adolescence (starting at 6–9 years of age; well before the typical age at which adolescents begin drinking) for alcohol use in adulthood (27–30 years of age), spanning an average of 22 years. Personality was assessed with the Hierarchical Personality Inventory for Children (H<em>i</em>PIC) across 5 consecutive waves utilizing multiple informants (child, mother, father, and teachers). Alcohol use was measured by the self-report Quantity-Frequency Variability Index (QFV).</div><div>A series of regression analyses indicates that during adolescence, high levels of extraversion and low levels of agreeableness are both (independently) associated with heavier drinking. These associations are robust and consistent from the first adolescent wave (age 12–15 years) to the last adolescent wave. Notably, informant-dependent measures from early childhood waves (ages 6–9) were not significant predictors, highlighting the importance of considering developmental context and informant variability. By leveraging a longitudinal design with temporally separated measures of personality and alcohol use, this study minimizes concerns about reverse causality. The results highlight the long-term relevance of adolescent personality traits in understanding adult drinking behavior and suggest that targeted prevention strategies focusing on highly extraverted and low-agreeable adolescents may help reduce harmful drinking patterns later in life.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"165 ","pages":"Article 108303"},"PeriodicalIF":3.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463701","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}