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Wolitzky-Taylor K, McBeth J, Guillot CR, Stone MD, Kirkpatrick MG, Zvolensky MJ, Buckner JD, Leventhal AM. Transdiagnostic processes linking anxiety symptoms and substance use problems among adolescents. J Addict Dis 2016; 35:266-277. [PMID: 27431313 DOI: 10.1080/10550887.2016.1207969] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Numerous anxiety syndromes co-occur with substance use problems in adolescents, though the mechanisms underlying these comorbidities are not well understood. There are 3 transdiagnostic processes-anxiety sensitivity (fear of anxiety-related sensations), distress tolerance (capacity to withstand emotional distress), and negative urgency (propensity to respond impulsively to negative emotion)-that have been implicated in various anxiety and substance use problems. To examine whether anxiety sensitivity, distress tolerance, and negative urgency statistically mediated relations between symptoms of 3 different anxiety disorders (social anxiety, generalized anxiety, and panic disorders) and alcohol and cannabis use problems, cross-sectional analysis of high school students in Los Angeles (N = 3002) was assessed via paper and pencil questionnaires. When mediators were entered simultaneously, negative urgency accounted for a significant 33 to 85% of the covariance between anxiety symptomatology and substance use problems over and above the other trandiagnostic processes. This pattern was consistent across all 3 anxiety syndromes and both alcohol and cannabis problems. Anxiety sensitivity and distress tolerance did not account for positive associations between anxiety symptoms and substance use problems. Negative urgency may be an important mechanism underlying the relationship between various types of anxiety and substance use problems in adolescence, and thus represents a possible target for preventive interventions targeting adolescent anxiety and substance use.
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Affiliation(s)
| | - Julia McBeth
- b University of Southern California , Los Angeles , California , USA
| | - Casey R Guillot
- b University of Southern California , Los Angeles , California , USA
| | - Matthew D Stone
- b University of Southern California , Los Angeles , California , USA
| | | | | | - Julia D Buckner
- d Louisiana State University , Baton Rouge , Louisiana , USA
| | - Adam M Leventhal
- b University of Southern California , Los Angeles , California , USA
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52
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Sussman S, Chou CP, Pang RD, Kirkpatrick M, Guillot CR, Stone M, Khoddam R, Riggs NR, Unger JB, Leventhal AM. Social Self-Control Is a Statistically Nonredundant Correlate of Adolescent Substance Use. Subst Use Misuse 2016; 51:788-94. [PMID: 27070833 PMCID: PMC4848138 DOI: 10.3109/10826084.2016.1141959] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The social self-control scale (SSCS), which taps provocative behavior in social situations, was compared with five potentially overlapping measures (i.e., temperament-related impulsivity, psychomotor agitation-related self-control, perceived social competence, and rash action in response to negative and positive affectively charged states) as correlates of tobacco use and other drug use among a sample of 3,356 ninth-grade youth in Southern California high schools. While there was a lot of shared variance among the measures, the SSCS was incrementally associated with both categories of drug use over and above alternate constructs previously implicated in adolescent drug use. Hence, SSC may relate to adolescent drug use through an etiological pathway unique from other risk constructs. Given that youth who tend to alienate others through provocative social behavior are at risk for multiple drug use, prevention programming to modify low SSC may be warranted.
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Affiliation(s)
- Steve Sussman
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA.,c School of Social Work , University of Southern California , Los Angeles , California , USA
| | - Chih-Ping Chou
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA.,c School of Social Work , University of Southern California , Los Angeles , California , USA
| | - Raina D Pang
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
| | - Matthew Kirkpatrick
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
| | - Casey R Guillot
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
| | - Matthew Stone
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
| | - Rubin Khoddam
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
| | - Nathaniel R Riggs
- c School of Social Work , University of Southern California , Los Angeles , California , USA.,d Human Development and Family Studies , Colorado State University , Fort Collins , Colorado , USA
| | - Jennifer B Unger
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
| | - Adam M Leventhal
- a Department of Preventive Medicine , University of Southern California , Los Angeles , California , USA.,b Department of Psychology , University of Southern California , Los Angeles , California , USA
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53
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Wang SH, Ding Y, Zhao W, Huang YH, Perkins R, Zou W, Chen JJ. Text mining for identifying topics in the literatures about adolescent substance use and depression. BMC Public Health 2016; 16:279. [PMID: 26993983 PMCID: PMC4799597 DOI: 10.1186/s12889-016-2932-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Accepted: 03/07/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Both adolescent substance use and adolescent depression are major public health problems, and have the tendency to co-occur. Thousands of articles on adolescent substance use or depression have been published. It is labor intensive and time consuming to extract huge amounts of information from the cumulated collections. Topic modeling offers a computational tool to find relevant topics by capturing meaningful structure among collections of documents. METHODS In this study, a total of 17,723 abstracts from PubMed published from 2000 to 2014 on adolescent substance use and depression were downloaded as objects, and Latent Dirichlet allocation (LDA) was applied to perform text mining on the dataset. Word clouds were used to visually display the content of topics and demonstrate the distribution of vocabularies over each topic. RESULTS The LDA topics recaptured the search keywords in PubMed, and further discovered relevant issues, such as intervention program, association links between adolescent substance use and adolescent depression, such as sexual experience and violence, and risk factors of adolescent substance use, such as family factors and peer networks. Using trend analysis to explore the dynamics of proportion of topics, we found that brain research was assessed as a hot issue by the coefficient of the trend test. CONCLUSIONS Topic modeling has the ability to segregate a large collection of articles into distinct themes, and it could be used as a tool to understand the literature, not only by recapturing known facts but also by discovering other relevant topics.
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Affiliation(s)
- Shi-Heng Wang
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, HFT-20, Jefferson, AR, 72079, USA.,Graduate Institute of Biostatistics, China Medical University, No. 91, Xueshi Rd, Taichung City, 40402, Taiwan
| | - Yijun Ding
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, HFT-20, Jefferson, AR, 72079, USA
| | - Weizhong Zhao
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, HFT-20, Jefferson, AR, 72079, USA
| | - Yung-Hsiang Huang
- National Applied Research Laboratories, National Center for High-Performance Computing, No. 7, R&D 6th Rd., Hsinchu Science Park, Hsinchu City, 30076, Taiwan
| | - Roger Perkins
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, HFT-20, Jefferson, AR, 72079, USA
| | - Wen Zou
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, HFT-20, Jefferson, AR, 72079, USA.
| | - James J Chen
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, HFT-20, Jefferson, AR, 72079, USA.
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Leventhal AM, Strong DR, Sussman S, Kirkpatrick MG, Unger JB, Barrington-Trimis JL, Audrain-McGovern J. Psychiatric comorbidity in adolescent electronic and conventional cigarette use. J Psychiatr Res 2016; 73:71-8. [PMID: 26688438 PMCID: PMC4738156 DOI: 10.1016/j.jpsychires.2015.11.008] [Citation(s) in RCA: 129] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/09/2015] [Accepted: 11/16/2015] [Indexed: 12/20/2022]
Abstract
The popularity of electronic (e-) cigarettes has greatly increased recently, particularly in adolescents. However, the extent of psychiatric comorbidity with adolescent e-cigarette use and dual use of conventional (combustible) and e-cigarettes is unknown. This study characterized psychiatric comorbidity in adolescent conventional and e-cigarette use. Ninth grade students attending high schools in Los Angeles, CA (M age = 14) completed self-report measures of conventional/e-cigarette use, emotional disorders, substance use/problems, and transdiagnostic psychiatric phenotypes consistent with the NIMH-Research Domain Criteria Initiative. Outcomes were compared by lifetime use of: (1) neither conventional nor e-cigarettes (non-use; N = 2557, 77.3%); (2) e-cigarettes only (N = 412, 12.4%); (3) conventional cigarettes only (N = 152, 4.6%); and (4) conventional and e-cigarettes (dual use; N = 189, 5.6%). In comparison to adolescents who used conventional cigarettes only, e-cigarette only users reported lower levels of internalizing syndromes (depression, generalized anxiety, panic, social phobia, and obsessive-compulsive disorder) and transdiagnostic phenotypes (i.e., distress intolerance, anxiety sensitivity, rash action during negative affect). Depression, panic disorder, and anhedonia were higher in e-cigarette only vs. non-users. For several externalizing outcomes (mania, rash action during positive affect, alcohol drug use/abuse) and anhedonia, an ordered pattern was observed, whereby comorbidity was lowest in non-users, moderate in single product users (conventional or e-cigarette), and highest in dual users. These findings: (1) raise question of whether emotionally-healthier ('lower-risk') adolescents who are not interested in conventional cigarettes are being attracted to e-cigarettes; (2) indicate that research, intervention, and policy dedicated to adolescent tobacco-psychiatric comorbidity should distinguish conventional cigarette, e-cigarette, and dual use.
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Affiliation(s)
- Adam M Leventhal
- Department of Preventive Medicine, University of Southern California, Keck School of Medicine, USA; Department of Psychology, University of Southern California, USA.
| | - David R Strong
- Department of Family Medicine and Public Health, University of California, School of Medicine, San Diego, USA
| | - Steve Sussman
- Department of Preventive Medicine, University of Southern California, Keck School of Medicine, USA; Department of Psychology, University of Southern California, USA; School of Social Work, University of Southern California, USA
| | - Matthew G Kirkpatrick
- Department of Preventive Medicine, University of Southern California, Keck School of Medicine, USA
| | - Jennifer B Unger
- Department of Preventive Medicine, University of Southern California, Keck School of Medicine, USA
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Wu J, Wu H, Wang J, Deng J, Gao X, Xu Y, Huang G, Huang J, Guo L, Lu C. Psychosocial Problems Syndemically Increase Adolescent Substance Use: Findings From a Cross-sectional Survey of 82,812 Chinese Adolescents. Medicine (Baltimore) 2015; 94:e2393. [PMID: 26717391 PMCID: PMC5291632 DOI: 10.1097/md.0000000000002393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
A growing body of studies have indicated the associations between substance use and psychosocial problems in adolescents. However, few of them have examined whether these psychosocial problems form a syndemic, which means the co-occurrence of psychosocial problems accompanied by additional effects on substance use.We conducted a cross-sectional survey with 82,812 Chinese adolescents who were selected using a multistage random procedure. Bivariate associations were estimated between selected syndemic indicators and adolescent substance use. Multivariate logistic regression was used to estimate the association between the syndemic indicator count score (the count of syndemic indicators) and adolescent substance use. In addition, cluster analysis was used to partition participants reporting at least one of syndemic indicators to assess associations between resolved cluster memberships and adolescent substance use.All selected syndemic indicators were associated with each other and with adolescent substance use. As the number of syndemic indicators increases, stronger associations with substance use were found in our analysis: the range of adjusted OR was from 1.57 (95% CI: 1.38-1.79) for 1 syndemic indicator to 9.45 (95% CI: 7.60-11.76) for 5 or 6 syndemic indicators. There was no effect modification of gender on these additive associations. The multivariate logistic regression indicated that the cluster membership of nonlow SES academic failures has the highest odds of using substance (OR = 2.26, 95% CI: 2.12-2.41), compared to students reporting none syndemic indicators.Our findings support the syndemic hypothesis that adolescents bearing multiple psychosocial problems experience additive risks of using substance. Our findings support that a comprehensive approach to substance use prevention in adolescents would necessitate the involvement of a variety of providers.
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Affiliation(s)
- Jie Wu
- From the Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China (JWu, HW, JWa, LG, CL); Department of Epidemiology, UCLA Fielding School of Public Health, University of California Los Angeles, CA (JWu); School of Public Health, Guangzhou Medical University (JWa); and Center for ADR Monitoring of Guangdong, Guangzhou, China (JD, XG, YX, GH, JH)
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Birrell L, Newton NC, Teesson M, Tonks Z, Slade T. Anxiety disorders and first alcohol use in the general population. Findings from a nationally representative sample. J Anxiety Disord 2015; 31:108-13. [PMID: 25795078 DOI: 10.1016/j.janxdis.2015.02.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 02/19/2015] [Accepted: 02/24/2015] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To examine how early onset anxiety disorders are related to age of first alcohol use in a general population sample. METHOD Discrete time survival analysis was used to model the odds of first alcohol use among those with, vs without, early onset anxiety disorders. Data came from the 2007 Australian National Survey of Mental Health and Wellbeing. RESULTS After adjusting for the effects of family history of alcohol/drug use, sex, age cohort and education, people who experienced an early onset anxiety disorder had a 27% increased odds of first alcohol use in any given year, when compared to those with no anxiety disorder. This effect was particularly strong for transitions to first alcohol use that occurred after the age of 13 years. CONCLUSIONS Early onset anxiety disorders significantly predict first alcohol use in the general population and this relationship appears to be related to change over time. These results point to the need for developmentally appropriate and integrated prevention programs that target anxiety and alcohol use together.
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Affiliation(s)
- Louise Birrell
- NHMRC Centre of Research Excellence in Mental Health and Substance Use (CREMS), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney 2052, NSW, Australia.
| | - Nicola C Newton
- NHMRC Centre of Research Excellence in Mental Health and Substance Use (CREMS), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney 2052, NSW, Australia.
| | - Maree Teesson
- NHMRC Centre of Research Excellence in Mental Health and Substance Use (CREMS), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney 2052, NSW, Australia.
| | - Zoe Tonks
- NHMRC Centre of Research Excellence in Mental Health and Substance Use (CREMS), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney 2052, NSW, Australia.
| | - Tim Slade
- NHMRC Centre of Research Excellence in Mental Health and Substance Use (CREMS), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney 2052, NSW, Australia.
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