Addictive behaviors最新文献

{"title":"Predictive modelling links exercise dependence to associated psychological and behavioral risk factors","authors":"Thomas Zandonai ,&nbsp;Giulio Bertamini ,&nbsp;Juan José Lozano ,&nbsp;Luca Mallia ,&nbsp;Alessandra De Maria ,&nbsp;Federica Galli ,&nbsp;Pablo Monteagudo ,&nbsp;Fabio Lucidi ,&nbsp;Paola Venuti ,&nbsp;Cesare Furlanello ,&nbsp;Ana María Peirò","doi":"10.1016/j.addbeh.2025.108493","DOIUrl":"10.1016/j.addbeh.2025.108493","url":null,"abstract":"<div><div>Exercise Dependence (ED) refers to uncontrollable, excessive exercise with harmful effects on life. This study used machine learning to identify behavioral and psychological factors contributing to ED risk. A multi-step procedure was implemented for model construction and validation, utilizing controlled feature selection and bootstrapping. Data were collected over three time points in diverse contexts (GR2021-22–23), recruiting 1099 participants (707 males, 64.3 %; 392 females, 35.7 %) with an average age of 24.8 ± 7.8 years. Based on the Exercise Dependence Scale-Revised (EDS-R), 5.6 % (n = 62) were classified as “At Risk” of ED, 50.9 % (n = 559) as “Non-Dependent-Symptomatic,” and 43.5 % (n = 478) as “Non-Dependent-Asymptomatic.” The final model predicted the GR2023 dataset with MAE = 6.90, R² = 0.59, and RE = 9.08 %. Predictive performance on the GR2022 dataset was MAE = 5.65, R² = 0.79, and RE = 6.73 %, while performance on the GR2021 dataset achieved MAE = 7.60, R² = 0.58, and RE = 7.24 %. Perfectionism consistently emerged as the most important predictors, followed by Drive for Thinness, Drive for Muscularity, and sport characteristics. Result generalization was confirmed by a complementary, whole-data analysis. This study establishes a foundation for developing quantitative risk profiles for ED by analyzing multidimensional constructs and their contributions through interpretable machine learning. The methodology offers insights into how personality, psychological, and behavioral dimensions shape risk attitudes and provides robust predictive tools for assessing ED risk in sports contexts.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108493"},"PeriodicalIF":3.6,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145061168","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 fear of missing out and problematic social media use among Generation Alpha: a random intercept cross-lagged panel model and cross-lagged panel network analysis","authors":"Xin Fang ,&nbsp;Jingyuan Yang ,&nbsp;Bo Liu ,&nbsp;Yuhui Wang ,&nbsp;Jundong Liao ,&nbsp;Li Lei","doi":"10.1016/j.addbeh.2025.108489","DOIUrl":"10.1016/j.addbeh.2025.108489","url":null,"abstract":"<div><div>This study aimed to examine the variable- and symptom-level relationships between fear of missing out and problematic social media use among early adolescents from Generation Alpha using the random intercept cross-lagged panel model (RI-CLPM) and cross-lagged panel network analysis (CLPN), respectively. A total of 672 Chinese early adolescents participated in a three-wave study with six-month intervals. The RI-CLPM revealed that fear of missing out positively predicted problematic social media use at the within-person level, while problematic social media use positively predicted fear of missing out only from T2 to T3. The CLPN uncovered the strongest cross-lagged edges between fear of missing out symptoms and problematic social media use symptoms. Additionally, several key nodes were identified: <em>social integration</em> showed the highest out-expected influence (OEI) and <em>tolerance</em> showed the highest in-expected influence (IEI) from T1 to T2; <em>withdrawal</em> showed the highest OEI and <em>salience</em> showed the highest IEI from T2 to T3. This study offers theoretical insights into the dynamic interplay between fear of missing out and problematic social media use among early adolescents from Generation Alpha, and practical guidance for effective prevention and intervention to break the vicious cycle.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108489"},"PeriodicalIF":3.6,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093288","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":"Understanding the links between anxiety, depression, and sports betting: The mediating role of sports betting motivations","authors":"Jonathan David ,&nbsp;Hyoun S. Kim ,&nbsp;Arif Yüce ,&nbsp;Matthew T. Keough","doi":"10.1016/j.addbeh.2025.108482","DOIUrl":"10.1016/j.addbeh.2025.108482","url":null,"abstract":"<div><div>Sports betting has grown in popularity in recent years in the US and Canada, and is now a major form of gambling. In the present research, we examined which motivations for sports betting mediated the association between emotional vulnerabilities (i.e., anxiety and depression) and sports betting and gambling problems. We recruited sports bettors in Ontario, Canada (final <em>N</em> = 915; 77.2 % men) and categorized them as in-play bettors (<em>n</em> = 221), single-event bettors (<em>n</em> = 531), and traditional bettors (<em>n</em> = 163). Participants completed an online battery of questionnaires measuring depression, anxiety, sports betting behaviour, problem gambling, and sports betting motives. Analyses showed that depression and anxiety were highly correlated in this sample of sports bettors. Both depression and anxiety were associated with greater gambling problems, and these associations were mediated primarily through coping motives. On the other hand, mediation analyses showed that depression and anxiety were associated with greater sports betting frequency primarily through enhancement motives. We also found that the associations did not differ significantly for type of sports betting, nor did they differ between men and women. These results demonstrate that depression and anxiety may be more likely to be comorbid in those who partake in sports betting, and that coping motives are related to gambling problems in sports bettors. Thus, our findings support the pathways model of problem gambling, suggesting that interventions for those who primarily engage in sports betting should focus on comorbid depression and anxiety, and should bolster coping styles.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108482"},"PeriodicalIF":3.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047403","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":"Do self-control and negative emotions mediate the effects of physical activity on problematic mobile phone use? Insights from a meta-analytic structural equation modeling study","authors":"Chaochao Wang,&nbsp;Pengwang Zhao,&nbsp;Min Liu","doi":"10.1016/j.addbeh.2025.108478","DOIUrl":"10.1016/j.addbeh.2025.108478","url":null,"abstract":"<div><h3>Objective</h3><div>This study examined the relationships among physical activity, negative emotions, self-control, and problematic mobile phone use, focusing on mediating mechanisms and the moderating role of specific negative emotions (depression, anxiety, stress, loneliness).</div></div><div><h3>Methods</h3><div>Meta-analytic structural equation modeling (MASEM) was applied to pooled data from 23 studies (N = 65,507) to estimate direct and indirect effects.</div></div><div><h3>Results</h3><div>Results revealed significant correlations, with the strongest between negative emotions and problematic mobile phone use (r = 0.484) and the weakest between physical activity and problematic mobile phone use (r = −0.285). Depressive symptoms showed the strongest association with problematic use (r = 0.656), followed by stress (r = 0.599) and anxiety (r = 0.491). MASEM indicated a total effect of physical activity on problematic mobile phone use (β = −0.395, p &lt; 0.001), with a minor direct effect (β = −0.069) and two dominant indirect pathways: (1) physical activity → self-control → problematic mobile phone use (β = −0.157) and (2) physical activity → negative emotions → problematic mobile phone use (β = −0.169).</div></div><div><h3>Conclusion</h3><div>Findings demonstrate that physical activity reduces problematic use primarily by mitigating negative emotions (especially depression and stress) and improving self-control. Notably, these variable associations exhibit greater strength within the university student population. Interventions should integrate emotion regulation and self-control strategies to effectively address smartphone dependency and promote healthier behaviors.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108478"},"PeriodicalIF":3.6,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082730","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":"Parental and child problematic smartphone use over time: Six-year within-dyad analysis in two Korean cohorts","authors":"Xyle Ku","doi":"10.1016/j.addbeh.2025.108477","DOIUrl":"10.1016/j.addbeh.2025.108477","url":null,"abstract":"<div><div>Emerging evidence suggests a positive link between parental and child problematic smartphone use (PSU), yet the direction and reciprocity of this relationship over time remain unclear. Here, we address this gap by examining six years (2018–2023) of PSU data from 4,086 parent–child dyads in South Korea, comprising two cohorts: a child cohort (1,984 dyads; mean child age = 11.00, 51.1 % female; mean parent age = 42.17, 95.0 % mothers) and an adolescent cohort (2,102 dyads; mean child age = 14.00, 46.6 % female; mean parent age = 44.32, 94.6 % mothers). Random-intercept cross-lagged panel models (RI-CLPMs) revealed consistent patterns across both cohorts. At the between-dyad level, parental and child PSU covaried, such that children of parents with higher PSU also reported higher PSU. At the within-dyad level, their PSU levels co-fluctuated over time; that is, in years when parents’ PSU rose above their typical level, their children’s PSU rose as well. However, no significant cross-lagged effects emerged, indicating that increases in parental PSU did not predict subsequent changes in child PSU and vice versa. Together, these findings suggest that longitudinal co-fluctuation patterns in PSU, rather than causal transmission, exist within a shared family digital ecology, thereby highlighting family-level dynamics in understanding PSU.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108477"},"PeriodicalIF":3.6,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020622","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":"Metacognitive-affective pathways linking intolerance of uncertainty with problematic smartphone use in emerging adults","authors":"Meng Xuan ZHANG ,&nbsp;Yu Qing WU ,&nbsp;Anise M.S. WU","doi":"10.1016/j.addbeh.2025.108479","DOIUrl":"10.1016/j.addbeh.2025.108479","url":null,"abstract":"<div><div>Emerging adulthood, a transition period in life, is highly intertwined with uncertainty and is thus potentially associated with increased vulnerability to maladaptive coping and problematic behaviors, including problematic smartphone use (PSU). The current study was designed to test not only the associations of intolerance of uncertainty (IU) with PSU tendencies but also the underlying (meta)cognitive and affective mechanisms. A sample of 566 participants who were 18–25 years old (<em>M_age</em> = 20.92, <em>SD_age</em> = 1.72; 65.3 % female) was collected. All participants completed an anonymous online questionnaire. The current results indicated a statistically significant positive association between IU and PSU tendencies. Path model further highlighted sequential mediating roles played by two components of metacognitive beliefs (i.e., negative beliefs about worry and cognitive confidence) and anxiety symptoms, underlying the IU-PSU link. Future interventions for PSU tendencies in emerging adults should consider metacognitive therapy, specifically targeting the two identified metacognitive risk factors, especially for those with IU and affective problems.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108479"},"PeriodicalIF":3.6,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020621","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 contributing to the decline in problematic mobile phone use among Chinese emerging adults","authors":"Zhengyu Wu ,&nbsp;Minghui Ma ,&nbsp;Tiantian Bian ,&nbsp;Yang Li ,&nbsp;Honglei Chen ,&nbsp;Jianqin Cao","doi":"10.1016/j.addbeh.2025.108480","DOIUrl":"10.1016/j.addbeh.2025.108480","url":null,"abstract":"<div><div>Extensive research has documented the deleterious developmental effects of problematic mobile phone use (PMPU) on emerging adults. However, in collectivistic cultures, few studies have investigated the longitudinal trend of PMPU of emerging adults and its associated environmental and individual factors. This study tracked 1,179 first-year undergraduates (67.9 % female; M_age = 18.60, SD_age = 1.27) at a major Chinese university over three measurement points: baseline (upon enrollment), 3-month, and 6-month follow-ups. The findings reveal: (1) a significant linear decline in PMPU scores over time; (2) higher subjective social status is associated with lower initial PMPU levels; and (3) peer rejection positively predicted PMPU, whereas personal growth initiative showed a negative association. By mapping the developmental trajectory of PMPU and identifying key modifiable factors, this study provides a foundation for culturally tailored interventions targeting Chinese emerging adults.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108480"},"PeriodicalIF":3.6,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010919","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":"Problematic mobile phone use and Shyness: A network perspective on User differences","authors":"Hanyu Liang ,&nbsp;Hui Zhou ,&nbsp;Weilong Xiao ,&nbsp;Huaibin Jiang","doi":"10.1016/j.addbeh.2025.108481","DOIUrl":"10.1016/j.addbeh.2025.108481","url":null,"abstract":"<div><div>Problematic mobile phone use (PMPU) has become increasingly prevalent among young adults, raising concerns about its psychological underpinnings. While shyness has been linked to PMPU, few studies have explored the symptom-level mechanisms that differentiate problematic from non-problematic users. This study employed psychological network analysis to examine the structure and central symptoms of PMPU in two groups: problematic and non-problematic mobile phone users. A total of 3227 young adults (19.21 ± 3.71 years) completed standardized measures of PMPU and shyness. Results showed that loneliness and time spent on mobile phone use formed the strongest edge in both groups. Withdrawal and mood modification were highly central in the PMPU network. Cross-symptom analysis indicated that social embarrassment and technology-mediated compensation form a self-reinforcing feedback loop in high-risk individuals. Key interactions were identified between mobile phone overuse and reduced offline social competence, inefficiency in real-world interactions, and avoidance of face-to-face communication. These findings suggest that interventions targeting emotional regulation symptoms may be particularly effective in reducing PMPU. The study also highlights the utility of psychological network analysis for identifying differential mechanisms in digital behavior patterns.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108481"},"PeriodicalIF":3.6,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020620","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 vape product advertising exposure is associated with cannabis vape product use and frequency among U.S. Young adults","authors":"Siyan Meng ,&nbsp;Kathryn La Capria ,&nbsp;Marla Royne Stafford ,&nbsp;Cui Yang ,&nbsp;Alisa A. Padon ,&nbsp;Kristina Jackson ,&nbsp;Julia Chen-Sankey","doi":"10.1016/j.addbeh.2025.108475","DOIUrl":"10.1016/j.addbeh.2025.108475","url":null,"abstract":"<div><h3>Introduction</h3><div>Cannabis vape products (CVPs) have gained significant popularity as a method of cannabis consumption among U.S. young adults (YAs), raising concerns about associated health risks. This study investigates the relationship between exposure to CVP advertisements (ads) and CVP use among YAs.</div></div><div><h3>Method</h3><div>In 2024, we implemented a web-based survey using a purposive sample of U.S. YA participants (<em>n</em> = 2,204; ages 18–30) with various cannabis use behaviors. Using multivariable regression, we assessed associations between CVP ad exposure (measured by overall exposure, frequency of exposure, and number of advertising channels) and past-month CVP use and use frequency, adjusting for relevant covariates.</div></div><div><h3>Results</h3><div>Ad exposure (AOR = 1.41, <em>p</em> = 0.001; β = 0.2, <em>p</em> = 0.013), higher frequency of ad exposure (AOR = 1.17, <em>p</em> &lt; 0.001; β = 0.10, <em>p</em> &lt; 0.001), and exposure across more advertising channels (AOR = 1.08, <em>p</em> &lt; 0.001; β = 0.06, <em>p</em> &lt; 0.001) were significantly associated with both CVP use and CVP use frequency, respectively. Social media emerged as the most prevalent advertising channel for CVP ad exposure. Specific channels associated with CVP use included email/text messages, ads inside/outside cannabis retailers, TV/radio, ads at bars/pubs/nightclubs, social media, and websites. Similar associations were observed for CVP use frequency, except for websites.</div></div><div><h3>Discussion</h3><div>The study results highlight significant associations between CVP ad exposure and both CVP use and CVP use frequency among YAs, suggesting ad exposure may be a risk factor for CVP use. Further research into the content and impact of CVP advertising, particularly through digital channels like social media and email, is needed to develop strategies for reducing the appeal of such advertising to YAs.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"171 ","pages":"Article 108475"},"PeriodicalIF":3.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988800","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":"Transitions and patterns in concurrent use of cigarettes and electronic cigarettes: An intensive longitudinal study of adults who smoke cigarettes and recently initiated e-cigarette use","authors":"Thi Phuong Thao Tran ,&nbsp;Terry F. Pechacek ,&nbsp;David L. Ashley ,&nbsp;Claire A. Spears ,&nbsp;Nikita G. Kute ,&nbsp;Scott R. Weaver","doi":"10.1016/j.addbeh.2025.108474","DOIUrl":"10.1016/j.addbeh.2025.108474","url":null,"abstract":"<div><h3>Background</h3><div>There is a knowledge gap in the short- and long-term tobacco use patterns of adults who smoke cigarettes and initiate use of electronic cigarettes. This longitudinal study describes concurrent use transitions following e-cigarette initiation among adults who smoked cigarettes.</div></div><div><h3>Methods</h3><div>From December 2020-October 2021, US adults who smoked cigarettes and recently (re-)initiated e-cigarette use within the past month (N = 303) were recruited nationally for a one-year online study consisting of weekly surveys for three months followed by three quarterly surveys. At each survey, current e-cigarette use, smoking status, and frequency of use were assessed to define their concurrent use state: neither vaping nor smoking, vaping only, predominantly vaping, equal dual use, predominantly smoking, or only smoking.</div></div><div><h3>Results</h3><div>During the first 3 months, 74 % of participants shifted their usage states at least once, while 29 % shifted between 9 months and 12 months following e-cigarette initiation. Participants predominantly smoking initially tended to either continue predominantly smoking or returned to exclusively smoking. Those predominantly vaping tended to remain in this state or shift to only vaping. Individuals using both products split early between continued dual use, predominantly vaping, and predominantly smoking. Those only vaping tended to continue, although some reverted to smoking. Overall, initial concurrent use states appear somewhat predictive of trajectories and 12-month outcomes.</div></div><div><h3>Conclusions</h3><div>Additional research on predictors (e.g., demographics, product characteristics, use experiences, perceptions and affect, product availability) of these frequent shifts between concurrent use states on weekly, monthly, and quarterly basis and 12-month outcomes is needed.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"171 ","pages":"Article 108474"},"PeriodicalIF":3.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988801","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}