Addictive behaviors最新文献

{"title":"Relationships between substance use treatment facilities and alcohol-attributable mortality across U.S. counties","authors":"Natalie Sumetsky ,&nbsp;Maria Mori Brooks ,&nbsp;Jeanine Buchanich ,&nbsp;Brooke S.G. Molina ,&nbsp;Christina Mair","doi":"10.1016/j.addbeh.2025.108364","DOIUrl":"10.1016/j.addbeh.2025.108364","url":null,"abstract":"<div><h3>Background</h3><div>Formal substance use treatment is a key resource for recovery among people with alcohol use disorders. Limited county-level availability of substance use treatment facilities may restrict access to care and ultimately contribute to worsening health outcomes and mortality. However, it is unknown whether the availability of such facilities is associated with county-level alcohol-attributable mortality risk.</div></div><div><h3>Methods</h3><div>We used Bayesian hierarchical Poisson spatial regression models to assess the relationship between population-weighted county-level treatment facility availability and rates of (1) fully chronic alcohol-attributable mortality, (2) alcohol poisonings, and (3) suicides by exposure to alcohol in 2019–2020. Localized treatment facility availability was calculated using a weighted method incorporating Census block group-level population counts. We adjusted for county-level demographic and socioeconomic factors, hospital density, population density, overall mortality rate, densities of mental health practitioner offices, U.S. Census region, year, and season.</div></div><div><h3>Results</h3><div>There was county-level heterogeneity in the availability of substance use treatment facilities, with northeastern county treatment facility densities at least twice as high as other regions. Higher county-level densities of treatment facilities were related to increased county-level risk for chronic fully alcohol-attributable deaths and alcohol poisonings but not suicides by exposure to alcohol.</div></div><div><h3>Conclusions</h3><div>Availability of substance use treatment facilities and the services they offer is heterogeneous across U.S. counties. The positive relationship between population-weighted county-level densities of treatment facilities and chronic fully alcohol-attributable mortality and alcohol poisonings may suggest that treatment facilities are placed in areas of greatest demand; yet, population-level needs may not fully met by these facilities.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"168 ","pages":"Article 108364"},"PeriodicalIF":3.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879174","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":"Relations between adverse childhood experiences, racial and ethnic Identity, and cannabis use outcomes","authors":"Jordan A. Gette ,&nbsp;Adriana Espinosa","doi":"10.1016/j.addbeh.2025.108361","DOIUrl":"10.1016/j.addbeh.2025.108361","url":null,"abstract":"<div><div>Adverse childhood experiences (ACEs) and age of cannabis use onset are associated with cannabis use disorder (CUD), but their differential effect across race and ethnicity is unknown. Using NESARC-III, we examined ACEs, age of onset, and their interaction on lifetime cannabis use and CUD across racial and ethnic groups (Non-Hispanic White, Hispanic, Black/African American, Asian, American Indian/Alaska Native). ANOVAs found that American Indian/Alaska Native individuals reported the greatest prevalence of lifetime cannabis use and CUD, the greatest mean number of ACEs, and the earliest age of cannabis onset. Using logistic regressions, stratified by race and ethnic groups and adjusted for sociodemographic characteristics, we found that as ACEs increased, the odds of lifetime use (aORs 1.48–2.48), lifetime CUD (aORs 1.45–3.03), and past-year CUD (aORs 1.46–2.28) increased for all groups. The relations between ACEs and CUD were strongest among Asian/Pacific Islander respondents. Among respondents with lifetime use, increased age of onset was associated with lower lifetime CUD (aORs 0.85–0.94) and past-year CUD (aORs 0.88–0.97) for most groups. Three significant interactions between ACEs and age of onset predicting CUD emerged. Among Black and American Indian/Alaska Native individuals with an early age of cannabis initiation, ACEs exhibited a weaker relation with CUD. For White respondents, as number of ACEs increased, the impact of age of onset on CUD development diminished. Our findings highlight ACEs and age of onset as implicated in the progression from cannabis use to CUD and the importance of considering these factors in relation to racial and ethnic identity.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108361"},"PeriodicalIF":3.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854401","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":"Never tell me the odds: Typical return-to-player information increases gamblers’ perceived chances of winning","authors":"Leonardo Weiss-Cohen ,&nbsp;Madison Palmer ,&nbsp;Jamie Torrance ,&nbsp;Philip Newall","doi":"10.1016/j.addbeh.2025.108363","DOIUrl":"10.1016/j.addbeh.2025.108363","url":null,"abstract":"<div><div>Previous research has shown that gamblers consistently misunderstand return-to-player (RTP) information, and participants shown an RTP of 93% reported that they were more likely to win than those who were shown no information. However, this effect might have been inflated by a higher-than-average RTP percentage. We experimentally test the impact of showing an industry-average RTP message of 90% on gamblers’ perceived chances of winning, in two studies across two countries (UK and US).</div><div>Slot players from Prolific (N = 6062) were shown either an RTP message (“This game has an average percentage payout of 90%”), two different House Edge (HE) messages (“This game keeps 10% of all money bet” or “This game is programmed to cost you 10% of your stake on each bet”) or No-Information, and asked to rate their perceived chances of winning at a new slot machine.</div><div>Across both studies and countries, participants rated their perceived chances of winning as significantly higher with a typical 90% RTP message than with No Information, with large effect sizes (<em>ORs</em> &gt; 5). Both HE messages significantly outperformed RTP, but were no better than No-Information. These effects were moderated by PGSI in the No-Information condition, with participants with higher PGSI responding with higher chances of winning, but not in the other conditions.</div><div>These results show an undesired side-effect of the consistently ineffective RTP information and confirm the superiority of HE over RTP, although none of the messages were superior to No-Information. Gamblers deserve to be better informed.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"168 ","pages":"Article 108363"},"PeriodicalIF":3.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868999","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":"Nicotine and cannabis vaping-related workplace absenteeism among U.S. Adults, 2022","authors":"Cooper Urban ,&nbsp;Kevin H. Yang ,&nbsp;Joseph J. Palamar","doi":"10.1016/j.addbeh.2025.108362","DOIUrl":"10.1016/j.addbeh.2025.108362","url":null,"abstract":"<div><h3>Introduction</h3><div>Vaping of nicotine and cannabis has increased substantially among US adults, but its impact on workplace productivity remains poorly understood. This study examines the associations between nicotine and cannabis vaping patterns and workplace absenteeism.</div></div><div><h3>Methods</h3><div>Cross-sectional data from a US nationally representative sample of noninstitutionalized part-time and full-time employed adults aged ≥ 18 from the 2022 National Survey on Drug Use and Health (N = 30,591) were analyzed. The associations between nicotine vaping (recency and frequency), cannabis vaping (recency), and workplace absenteeism (measured by self-reported number of missed days due to illness/injury and skipped work in the past month) were evaluated using negative binomial regression adjusting for sociodemographic characteristics and other past-month drug use.</div></div><div><h3>Results</h3><div>An estimated 10.4 % of full-time workers vaped nicotine in the past month and 6.4 % vaped cannabis. Compared to never-vapers of nicotine, those with any history of vaping had higher estimated incidence of absences with past-month vaping associated with increased incidence of missed work due to illness/injury (aIRR = 1.34, 95 % CI: 1.14–1.59) and skipping work (aIRR = 1.65, 95 % CI: 1.24–2.21). Past-month cannabis vaping was associated with increased estimated incidence of missed work due to illness/injury (aIRR = 1.35, 95 % CI: 1.06–1.72) and skipping work (aIRR = 1.70, 95 % CI: 1.32–2.18), although these rates did not differ significantly from those associated with non-vaped cannabis use. Associations were generally stronger among full-time workers compared to part-time workers.</div></div><div><h3>Conclusion</h3><div>Both nicotine and cannabis vaping are associated with increased workplace absenteeism. Results support the development and implementation of workplace policies to address vaping-related productivity losses.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108362"},"PeriodicalIF":3.7,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850210","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 use frequency relates to elevated sports betting engagement, risk-taking, and negative consequences in a year-long biweekly study of young adults","authors":"Scott Graupensperger ,&nbsp;Joseph Lambuth ,&nbsp;Arvin Shaygan ,&nbsp;Joshua Grubbs ,&nbsp;Ty W. Lostutter","doi":"10.1016/j.addbeh.2025.108359","DOIUrl":"10.1016/j.addbeh.2025.108359","url":null,"abstract":"<div><h3>Background</h3><div>Sports betting is a rapidly growing addictive behavior that has been cross-sectionally linked to other risky behaviors including alcohol use. To better understand how alcohol use contributes to sports betting engagement, risk-taking, and negative consequences, the present study examined within-person associations using 26 repeated biweekly assessments.</div></div><div><h3>Method</h3><div>A sample of 210 U.S. young adult sports bettors (aged 18–29) reported alcohol use frequency and sports betting behaviors every other week for a full year. Generalized linear mixed models disentangled between- and within-person associations.</div></div><div><h3>Results</h3><div>Within-person fluctuations in alcohol use frequency were significantly related to sports betting engagement (i.e., frequency <em>Rate Ratio</em> = 1.08, total bets <em>RR</em> = 1.09), high-risk betting behavior (i.e., total amount wagered <em>RR</em> = 1.09, chasing losses <em>RR</em> = 1.08), and negative sports betting consequences (<em>RR</em> = 1.11). Across each outcome, the between-person effects of alcohol use frequency were non-significant, suggesting that alcohol use and gambling behavior may not simply be a trait- or person-level clustering as previously theorized. Alternatively, alcohol use may more directly impact young adults’ sports betting behavior through fluctuating and dynamic processes, potentially driven by the dysregulating effects of alcohol.</div></div><div><h3>Conclusions</h3><div>The evolving sports betting landscape increasingly emphasizes high-risk and impulsive behaviors such as live/in-game betting, which presents unique opportunities for alcohol to adversely impact one’s sports betting behavior. Findings highlight the need for policy and prevention strategies that effectively decouple alcohol use from sports betting, as the combination of these behaviors can amplify risks and consequences.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108359"},"PeriodicalIF":3.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843657","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 moderating role of trait impulsivity on reward sensitivity and alcohol craving","authors":"A.L. Sherman,&nbsp;A.L. Stamates","doi":"10.1016/j.addbeh.2025.108360","DOIUrl":"10.1016/j.addbeh.2025.108360","url":null,"abstract":"<div><h3>Background</h3><div>Alcohol use is associated with an increased risk of negative consequences for young adults due to their disproportionately high rates of alcohol use. Alcohol craving (i.e., the strong desire to consume alcohol) is related to increased use for clinical populations, but scant research has examined craving and its associated factors among young adults. Reward sensitivity (i.e., the desire to obtain appetitive stimuli) and impulsivity (i.e., rash action without considering the consequences) have been independently linked to alcohol craving, but few studies examine how these factors interact with alcohol craving among young adults. Consequently, the current study sought to examine these associations via five moderation models using one of the five facets of impulsivity (i.e., positive and negative urgency, perseverance, premeditation, and sensation seeking) as the variable moderating the relationship between reward sensitivity and craving.</div></div><div><h3>Methods</h3><div>Two hundred and ninety-one college students completed an online survey regarding their use of alcohol, trait impulsivity, reward sensitivity, and alcohol craving.</div></div><div><h3>Results</h3><div>There was a significant negative interaction between levels of reward sensitivity and negative urgency. The negative associations were significant at one <em>SD</em> above mean levels of negative urgency.</div></div><div><h3>Conclusion</h3><div>Individuals who experienced lower levels of reward sensitivity had increased craving when they also experienced greater levels of negative urgency. Young adults who experience a combination of low reward sensitivity and heightened negative urgency may be at the greatest risk for alcohol craving.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108360"},"PeriodicalIF":3.7,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839563","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":"Neuromodulation of dorsal and ventral prefrontal cortex during gambling task performance in low and high impulsive individuals","authors":"Elena Gomis-Vicent ,&nbsp;John J.D. Turner ,&nbsp;Michael A. Nitsche ,&nbsp;Davide Rivolta ,&nbsp;Volker Thoma","doi":"10.1016/j.addbeh.2025.108358","DOIUrl":"10.1016/j.addbeh.2025.108358","url":null,"abstract":"<div><h3>Introduction</h3><div>Impulsivity has been widely associated to risky decision-making and addictive behaviours. Recent research is investigating transcranial direct current stimulation (tDCS) as a potential tool to improve gambling disorder symptomatology; however, few studies have considered the influence of impulsivity on tDCS effects targeting different brain areas to modulate gambling-related behaviours.</div></div><div><h3>Methods</h3><div>Two experiments were performed with two-session crossover designs using the same methodology and different samples of low and high impulsive participants (N=64). Multielectrode tDCS montages were designed to target right dorsolateral prefrontal cortex (rDLPFC) and ventromedial prefrontal cortex (vmPFC) during Cambridge gambling task (GCT) performance.</div></div><div><h3>Results</h3><div>Results showed tDCS effects on CGT in both low and high impulsive individuals, revealing specific findings associated to rDLPFC and vmPFC targets respectively. A potential influence of impulsivity on tDCS effects was suggested by the differences in delay aversion between LI and HI, shown only in real stimulation but not in sham. Low and high impulsive participants showed differences in task performance, especially in the lowest and highest risk conditions.</div></div><div><h3>Conclusion</h3><div>Future neuromodulation research may benefit from taking into consideration factors including personality traits, such as impulsivity and participants individual differences that may impact the responsiveness to tDCS, as well as from employing neuroimaging techniques to identify the underlaying tDCS effects on specific brain circuits.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108358"},"PeriodicalIF":3.7,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839564","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 relationships among smoking cessation app use, smoking behavioral outcomes, and pharmacotherapy utilization among individuals who smoke cigarettes","authors":"Schuyler C. Lawson ,&nbsp;Karin Kasza ,&nbsp;R.Lorraine Collins ,&nbsp;Richard J. O’Connor ,&nbsp;Gregory G. Homish","doi":"10.1016/j.addbeh.2025.108354","DOIUrl":"10.1016/j.addbeh.2025.108354","url":null,"abstract":"<div><h3>Introduction</h3><div>Most individuals who smoke cigarettes are interested in quitting, but many are unable to quit. Fewer than one-third of individuals who smoke cigarettes attempt to quit using FDA-approved cessation methods, such as nicotine replacement therapy (NRT) and prescription medications. Smoking cessation apps (SCAs) provide individuals with personalized quit plans, information about smoking cessation treatments, craving management strategies, and other features. However, their relationship to NRT/prescription medication utilization and quit attempts is understudied.</div></div><div><h3>Methods</h3><div>We conducted a longitudinal secondary data analysis using a subset of adults who smoked at least 100 cigarettes in their lifetime, currently smoked every day or some days, and planned to quit within a year. This subset was drawn from the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative cohort study. We utilized Generalizing Estimating Equation models to examine the longitudinal associations between SCA use initiation and the following outcomes across 2014–2019: NRT, prescription medications, and quit attempts.</div></div><div><h3>Results</h3><div>SCA use initiation was associated with greater odds of prescription medication utilization (AOR = 2.43, 95 % CI: 1.63, 3.64; <em>p</em> &lt; 0.05). Likewise, SCA use initiation was associated with greater odds of making a quit attempt (AOR = 1.38, 95 % CI: 1.09, 1.76; <em>p</em> &lt; 0.01), but not NRT utilization.</div></div><div><h3>Conclusion</h3><div>Among adults who regularly smoked cigarettes and had plans to quit, SCA use initiation was associated with prescription medication utilization and quit attempts but not NRT utilization. SCAs may have utility as a population-level intervention but specific features needed to be studied further.</div><div>Abbreviations: SCA, Smoking Cessation App; NRT, Nicotine Replacement Therapy.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"167 ","pages":"Article 108354"},"PeriodicalIF":3.7,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799068","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":"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}