Addictive Behaviors Reports最新文献

{"title":"Risky sexual behavior in Veterans seeking substance use and mental health treatment","authors":"Joseph W. Tu ,&nbsp;Rachael J. Shaw ,&nbsp;Autumn Rae Florimbio ,&nbsp;Kaitlyn McCarthy ,&nbsp;Erin E. Bonar ,&nbsp;Stephen T. Chermack ,&nbsp;Jamie J. Winters ,&nbsp;Maureen A. Walton ,&nbsp;Minden B. Sexton","doi":"10.1016/j.abrep.2024.100572","DOIUrl":"10.1016/j.abrep.2024.100572","url":null,"abstract":"<div><div>Veterans in the United States are at an elevated risk for substance use and risky sexual behaviors, either of which may function as coping responses to trauma exposure. The current study examined risky sexual behaviors in a sample of Veterans seeking therapy to reduce substance use behaviors and mental health symptoms as part of a larger randomized controlled trial. Self-report measures assessed substance use behaviors, PTSD, and risky sexual behaviors. Veterans (<em>N</em> = 834) were mostly male (93.4 %) and White (71.6 %) with an average age of 48.25 years. In the past 30 days, 50.5 % of Veterans had sex and 57.3 % of Veterans reported at least one day of heavy drinking. Among Veterans who had a regular sexual partner, 84.9 % did not always use a condom, whereas 77.1 % of Veterans who had a casual partner did not always use a condom. Of Veterans who endorsed sex in the past month, 49 % had a sexual encounter while intoxicated from alcohol and/or drugs, an outcome that was significantly associated with heavy drinking via multiple regression analysis. Nevertheless, other forms of risky sexual behavior (i.e., number of sexual partners and condom use) were not significantly associated with heavy drinking. Further, risky sexual behaviors were not directly associated with PTSD symptoms. Findings suggest that despite the high prevalence of risky sexual behaviors, these behaviors among this sample of treatment-seeking Veterans may be explained by other unexplored factors. Future research is necessary to explore alternative explanations for these behaviors to inform interventions.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100572"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dimensionality and validity of the Gambling Motives Questionnaire – Financial among lottery loyalty program participants","authors":"Jihyeong Jeong,&nbsp;Paul Sacco","doi":"10.1016/j.abrep.2024.100570","DOIUrl":"10.1016/j.abrep.2024.100570","url":null,"abstract":"<div><h3>Objective</h3><div>The Gambling Motives Questionnaire-Financial (GMQ-F) measures four gambling motives and these overlapping constructs may be distinct but also represent an overall gambling motivation. Thus, this study examined the scale’s factor structure by testing multiple-factor model configurations and then analyzing the association between these constructs and a problem gambling assessment.</div></div><div><h3>Methods</h3><div>Data from a lottery loyalty program in a Midwestern state in the United States were analyzed (<em>n</em> = 6847). The dimensionality of the GMQ-F was tested using confirmatory factor analyses (CFAs) comparing three different models. A structural equation model (SEM) was used to assess the association between gambling motives using the best fitting model in the CFAs and problem gambling severity measured by the Problem Gambling Severity Index (PGSI).</div></div><div><h3>Results</h3><div>Bifactor indices suggested limited multidimensionality with most of the variance explained by overall gambling motives, and limited variances explained by specific motives except financial motives. In the SEM, general motives were associated with a higher PGSI score. Social motives were associated with a lower PGSI score, while coping motives were associated with a higher score. Enhancement and financial motives showed no associations with PGSI scores.</div></div><div><h3>Conclusions</h3><div>Our findings support the value of the GMQ-F as an instrument for measuring gambling motivation, with the caveat that the types of motivations or subscales are highly correlated. Future research should explore the financial gain as a distinct motivation for gambling.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100570"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do we need urine drug screens in opioid addiction treatment: An observational study on self-report versus urine drug screens","authors":"Alannah McEvoy ,&nbsp;Myanca Rodrigues ,&nbsp;Brittany B Dennis ,&nbsp;Jacqueline Hudson ,&nbsp;David C. Marsh ,&nbsp;Andrew Worster ,&nbsp;Lehana Thabane ,&nbsp;Zainab Samaan","doi":"10.1016/j.abrep.2024.100575","DOIUrl":"10.1016/j.abrep.2024.100575","url":null,"abstract":"<div><h3>Background</h3><div>The substance use crisis continues to progress. Medication for Opioid Use Disorder (MOUD) are prescribed to reduce opioid use and related harms; however, many individuals continue to use substances while on treatment. The objective of this study was to describe the temporal and demographic trends of the agreement between self-reported and urine tested substances.</div></div><div><h3>Methods</h3><div>The current study is a retrospective secondary analysis of three phases of a prospective cohort study (Pilot 2011, Genetics of opioid addiction (GENOA) 2013–2017, and Pharmacogenetics of opioid substitution treatment (POST)) 2018–2022) spanning 2011–2022. We compared the self-reported substance use data for opioids, benzodiazepines, amphetamine/methamphetamine (AMP/MET), and cocaine with urine drug results. We compared the positive predictive value (PPV), false omission rate (FOR), sensitivity, and specificity between (i) different drugs; (ii) by sex, and (iii) age group at enrollment in each phase of the study using self-reported substance use at baseline and retrospective electronic health record data on urine drug screenings collected over the same time period.</div></div><div><h3>Results</h3><div>Overall, the average PPV and FOR for any drug across all phases was 80.7 % and 37.9 %, respectively. Sensitivity and specificity were highest for cocaine and lowest for benzodiazepines. We found no specific trend by sex. Lastly, we found a higher sensitivity for opioids and AMP/MET in those under 25 years of age compared to other age groups. PPV increased over time for benzodiazepines, AMP/MET and cocaine and FOR was higher during the pilot and POST phases than the GENOA phase.</div></div><div><h3>Conclusion</h3><div>Our study highlights the unique challenges associated with ascertaining substance use behaviour for individuals receiving MOUD, indicating many patients will accurately report substance use while others do not. It is therefore important to consider the context of the patient, and the type of the co-substance used to select patient-centred testing as indicated. Therefore, the answer to the question of do we need urine drug screen is yes in some cases.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"21 ","pages":"Article 100575"},"PeriodicalIF":0.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142898799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomic factors associated with substance use disorder relapse: A critical review","authors":"Noora Al-Marzooqi ,&nbsp;Hanan Al-Suhail ,&nbsp;Mohammad O. AlRefai ,&nbsp;Hamid A Alhaj","doi":"10.1016/j.abrep.2024.100569","DOIUrl":"10.1016/j.abrep.2024.100569","url":null,"abstract":"<div><div>Several genetic and epigenetic factors contribute to the elevated substance use disorder (SUD) relapse vulnerability, yet a comprehensive investigation into these factors is lacking. This review aims to delve into current literature to highlight key genomic factors associated with SUD relapse.</div><div>Focusing on genetic predisposition and epigenetic modifications the review synthesized research findings of several genetic polymorphisms, histone modifications and DNA methylation patterns contributing to the initiation of SUD and the elevated relapse susceptibility. Notably, specific gene polymorphisms, such as Dopamine Receptor D2 gene (DRD2), Gamma-Aminobutyric Acid Receptor Alpha gene (GABRA2), Catechol-O-methyltransferase (COMT) gene, Dopamine Transporter (DAT1) gene and others were identified to be connected to various patterns of SUD relapse. Furthermore, SUD initiation and relapse has been shown to be influenced by epigenetics. Specifically, CpG hypermethylation has been associated with severe alcohol use disorder in the 5′ untranslated region of the Bladder Cancer Associated Protein gene (BLCAP) and the upstream region of the Active BCR Related gene (ABR). Co-users of cannabis and tobacco showed notable variations in CpG site methylation, especially at the Aryl Hydrocarbon Receptor Repressor (AHRR), and factor II receptor-like 3 gene sites (F2RL3).</div><div>In conclusion, there is good evidence of certain associations between genomic factors and relapse to SUD. However, further research is needed to ascertain causality effects of these factors and develop novel interventions for effective treatment and relapse prevention.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100569"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mokken scale analysis of the Internet Gaming Disorder Scale–Short-Form and the Gaming Disorder Test","authors":"Laura Maldonado-Murciano ,&nbsp;Halley M. Pontes ,&nbsp;Maite Barrios ,&nbsp;Juana Gómez-Benito ,&nbsp;Georgina Guilera","doi":"10.1016/j.abrep.2024.100567","DOIUrl":"10.1016/j.abrep.2024.100567","url":null,"abstract":"<div><div>In recent years, research on disordered gaming has grown substantially with researchers developing different psychometric tools for assessing it. Two of the most prominent assessment tools are the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) and the Gaming Disorder Test (GDT), which evaluate disordered gaming under the American Psychiatric Association (APA) and the World Health Organization (WHO) frameworks, respectively. The main aim of this study was to assess and compare the scalability, reliability, and validity of both scales to determine if they effectively assess disordered gaming in a normative sample, through the Mokken Scale Analysis (MSA). A sample of 605 participants (42.31 % female, mean_age = 23.98 years, <em>SD</em> = 9.21 years) was recruited for the present study. Results showed that both the IGDS9-SF and GDT were unidimensional, with all items presenting latent monotonicity fitting in the Monotone Homogeneity Model (MHM). Item characteristic curves did not intersect and presented with adequate fit in the Double Monotonicity Model (DMM). These findings further support the psychometric adequacy of the IGDS9-SF and GDT, attesting to their suitability to assess disordered gaming.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100567"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of sociodemographic, tobacco use, and mental health characteristics on treatment adherence among adults enrolled in a community-based tobacco cessation program","authors":"Motolani E. Ogunsanya ,&nbsp;Summer G. Frank-Pearce ,&nbsp;Sixia Chen ,&nbsp;Munjireen Sifat ,&nbsp;Amy M. Cohn ,&nbsp;Michael S. Businelle ,&nbsp;Darla E. Kendzor","doi":"10.1016/j.abrep.2024.100568","DOIUrl":"10.1016/j.abrep.2024.100568","url":null,"abstract":"<div><h3>Background</h3><div>While counseling and pharmacological interventions are known to facilitate smoking cessation, poor adherence can impact their effectiveness. Therefore, this study aimed to identify personal and clinical factors that influenced adherence to smoking cessation treatment among socioeconomically disadvantaged adult Oklahomans enrolled in a publicly available tobacco treatment program and observational research study.</div></div><div><h3>Methods</h3><div>Adult participants (<em>N = 442</em>) were enrolled in a community-based tobacco treatment program. Logistic regression models identified sociodemographic, mental health, and substance use characteristics associated with treatment adherence. Adherence was measured by counseling session attendance and weeks of moderate/high medication adherence assessed via the Medication Adherence Questionnaire. Analyses were conducted using SAS 9.4 with p &lt; 0.05.</div></div><div><h3>Results</h3><div>Participants (mean age of 53, 55 % female, and 42.3 % racially minoritized), smoked 16 (SD = 10) cigarettes/day for 30 years on average (SD = 15), and 44.8 % reported depression (Center for Epidemiological Studies Depression Scale [CESD] score ≥ 10). Self-efficacy, White race, increasing age, and years of smoking were positively associated with counseling adherence, while menthol use, being uninsured, and depression predicted lower counseling adherence. Medication adherence was lower among individuals who used menthol cigarettes, lived with someone who smoked, and had higher levels of expired carbon monoxide.</div></div><div><h3>Conclusions</h3><div>This study highlights key factors that influenced adherence to smoking cessation treatment in a socioeconomically disadvantaged population. Tailored interventions are needed to address social, behavioral, and environmental factors, such as living situations and mental health, in smoking cessation interventions to enhance treatment outcomes for underserved populations. Future tobacco cessation programs should consider these factors to improve adherence and, ultimately, success rates.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100568"},"PeriodicalIF":0.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining problem gambling, substance use disorders and cluster B personality traits among incarcerated individuals","authors":"Kalle Lind ,&nbsp;Jussi Palomäki ,&nbsp;Sari Castrén","doi":"10.1016/j.abrep.2024.100566","DOIUrl":"10.1016/j.abrep.2024.100566","url":null,"abstract":"<div><div>Prison populations face heightened rates of addictive behaviors and significant stressors, including health challenges and social disparities. Although problem gambling is prevalent in criminal justice settings, its distinctiveness compared to other addictions among incarcerated individuals remains uncertain. This study examines risk factors associated with problem gambling in Finnish prisoners and explores differences compared to other forms of addiction.</div><div>Covariates from a questionnaire (N = 527) included gender, age, education, offender status, involvement in theft or property crime, Trauma Screening Questionnaire (TSQ), Depression Scale (DEPS), and lifetime abuse experiences. Of the 527 participants, 330 were interviewed using the Structured Clinical Interview (SCID-II) to assess personality disorders. Multiple logistic regression models were utilized, with separate models for problem gambling (PG), lifetime substance use disorder, and lifetime alcohol disorder.</div><div>Crime type was not significantly associated with alcohol or substance use problems, but PG was associated with property crime or theft convictions. Borderline personality traits were linked to probable PG, while antisocial traits were linked to drug use, and both traits predicted alcohol misuse. Age and gender were significant only in relation to alcohol use problems, with older age and male gender indicating higher risk.</div><div>The association between problem gambling and criminal behavior underscores the vulnerability of incarcerated individuals across various domains. Detailed assessments, considering the nature of criminal activity and personality disorders, especially borderline traits and comorbid conditions, are crucial for tailoring rehabilitation and treatment strategies to prevent recidivism. These findings provide valuable insights for clinicians managing addiction and mental health issues within correctional settings.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100566"},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cigarette smoking status and COVID-19 hospitalization in the context of cannabis use: An electronic health record cohort study in northern California","authors":"Dian Gu ,&nbsp;Patrick Ha ,&nbsp;Jesse T. Kaye ,&nbsp;Michael C. Fiore ,&nbsp;Janice Y. Tsoh","doi":"10.1016/j.abrep.2024.100565","DOIUrl":"10.1016/j.abrep.2024.100565","url":null,"abstract":"<div><h3>Background</h3><div>Research investigating the association between cigarette smoking and COVID-19 outcomes has yielded mixed results, often overlooking cannabis use. This study examined the association between cigarette smoking and COVID-19 hospitalization with consideration of cannabis use.</div></div><div><h3>Methods</h3><div>We used electronic health record data from adult patients with COVID-19 (2/1/2020 to 2/3/2022) at a northern California academic medical center. The outcome was COVID-19 hospitalization. We conducted three multivariable logistic models to examine the relationship between cigarette smoking and hospitalization. Model 1 included cigarette smoking status and other covariates; Model 2 added cannabis use status to Model 1; Model 3 added interaction term of cigarette and cannabis use to Model 2, followed by a post-hoc analysis.</div></div><div><h3>Results</h3><div>Of the 14,440 patients, 8.5 % had COVID-19 hospitalization, 4.9 % and 24.1 % currently and formerly smoked cigarettes, respectively; 7.2 % currently used cannabis, 62.8 % had unknown cannabis use status. Both current and former cigarettes smoking were associated with hospitalization (Models 1–2). In Model 3, the cigarette-cannabis interaction was significant. Former cigarette smoking had higher odds for hospitalization (adjusted odds ratio [AOR] = 1.36; 95 % confidence interval [CI] 1.09–1.70) only among people who did not currently use cannabis. Current cigarette smoking yielded higher odds of hospitalization (AOR = 1.47; 95 % CI 1.02–2.12) among people whose cannabis use was unknown. Cigarette smoking status was not associated with hospitalization among people who currently used cannabis.</div></div><div><h3>Conclusions</h3><div>Cigarette smoking’s associations with COVID-19 hospitalization varied by cannabis use. Future research should include both cigarette and cannabis use in understanding risk factors for COVID-19 outcomes.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100565"},"PeriodicalIF":0.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insights into psychological characteristics of persons (not) agreeing to use an e-coach-application to reduce elevated Internet Use Disorder tendencies","authors":"Christian Montag ,&nbsp;Jon D. Elhai ,&nbsp;Christopher Kannen ,&nbsp;Anja Bischof ,&nbsp;Dominique Brandt ,&nbsp;Hannah Schmidt ,&nbsp;Dmitri Rozgonjuk ,&nbsp;Hans-Jürgen Rumpf","doi":"10.1016/j.abrep.2024.100564","DOIUrl":"10.1016/j.abrep.2024.100564","url":null,"abstract":"<div><div>The present work aims to shed light on the question of whether certain psychological characteristics go along with choosing an e-coach offer to support healthy Internet use when reporting elevated Internet Use Disorder (IUD) tendencies. Data were from a large-scale stepped care approach study to treat persons with varying degrees of IUD tendencies. Recruitment for advertising the download of a smartphone app included social media, videos by influencers, paid ads, TV, radio, newspapers, workshops, and vocational schools. We contrasted a final sample of 184 declining, 907 agreeing, and 216 agreeing but not providing follow-up details needed to use such an e-coach, as well as 995 who did not explicitly decline or agree to participate (but refrained from using the e-coach). Participants were compared on several study variables, including sociodemographics, mental health, fear of missing out, personality, perceived stress, and IUD tendencies. Interestingly, we observed only two significant findings when contrasting the aforementioned groups using ANOVA. First, the group not agreeing to use the e-coach was associated with the lowest IUD tendencies and highest conscientiousness scores. Second, agreeing to use the e-coach was associated with older age. Further significant differences could be observed, but in general the accompanying effect sizes were very mild. In sum, the present study findings support the idea that greater subjective burden of IUD might result in more willingness to seek e-help, but also the personality trait of conscientiousness and a person’s age might play a role here.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100564"},"PeriodicalIF":0.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency","authors":"Haitham Jahrami ,&nbsp;Waqar Husain ,&nbsp;Chung-Ying Lin ,&nbsp;Gunilla Björling ,&nbsp;Marc N Potenza ,&nbsp;Amir Pakpour","doi":"10.1016/j.abrep.2024.100563","DOIUrl":"10.1016/j.abrep.2024.100563","url":null,"abstract":"<div><p>Gaming disorder (GD) is a growing public health issue requiring reliable screening and diagnostic tools. A commonly used tool for assessing GD is the Gaming Disorder Test (GDT). The GDT assesses GD based on International Classification of Diseases 11th Revision (ICD-11) criteria; however, its psychometric testing has been conducted across studies but yet snythesized. This meta-analysis aimed to synthesize psychometric data regarding the GDT globally. Adhering to pre-registration, a comprehensive search across databases identified 17 eligible studies (n=22,000) in 14 languages reporting on the psychometric properties of the GDT, especially its Cronbach’s alpha. The pooled Cronbach’s alpha was 0.86 (95% CI: 0.83-0.89), indicating excellent internal consistency. Although significant heterogeneity was observed (I²= 98.54%), prediction intervals suggested true outcomes likely shared a positive direction. No moderating effects were found regarding sample characteristics, study quality, or geographical location. The meta-analysis provides robust and quantitative evidence supporting the internal consistency of the GDT across diverse populations. Moreover, qualitative synthesis indicates that the GDT has strong psychometric properties without risk of bias across the analyzed studies, indicating the GDT’s ability to assess GD globally. However, the heterogeneity suggests cautious interpretation of the reliability estimates</p></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"20 ","pages":"Article 100563"},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352853224000403/pdfft?md5=34fb75246303def20466bedc11e50dfc&pid=1-s2.0-S2352853224000403-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}