Differential Risk Factors Associated with Adolescent Addictive Disorders: a Comparison between Substance Use Disorders and Internet/Gaming Addiction

2016 ◽  
Vol 14 (6) ◽  
pp. 993-1002 ◽  
Author(s):  
Rebecca H. S. Ong ◽  
Chao Xu Peh ◽  
Song Guo
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Substance Use Disorders ◽  
Gaming Addiction ◽  
Addictive Disorders ◽  
Factors Associated ◽  
Internet Gaming ◽  
Internet Gaming Addiction ◽  
Differential Risk

Internet Gaming Addiction in Adolescence: Risk Factors and Maladjustment Correlates

2017 ◽  
Vol 16 (4) ◽  
pp. 888-904 ◽  
Author(s):  
Luca Milani ◽  
Giuseppe La Torre ◽  
Maria Fiore ◽  
Serena Grumi ◽  
Douglas A. Gentile ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gaming Addiction ◽  
Internet Gaming ◽  
Internet Gaming Addiction

6.55 Risk Factors Associated With Overdose During Follow-up in Treatment-Seeking Youth With Substance Use Disorders

2017 ◽  
Vol 56 (10) ◽  
pp. S295-S296 ◽  
Author(s):  
Amy Yule ◽  
Nicholas W. Carrellas ◽  
Maura Fitzgerald ◽  
Lindsay Rosenthal ◽  
James McKowen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Substance Use Disorders ◽  
Treatment Seeking ◽  
Factors Associated

Risk factors associated with substance use

2014 ◽  
Author(s):  
Ariel M. Barber ◽  
Alexandra Crouch ◽  
Stephen Campbell
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Factors Associated

The Role of Different Aspects of Impulsivity as Independent Risk Factors for Substance Use Disorders in Patients with ADHD: A Review

2015 ◽  
Vol 8 (2) ◽  
pp. 119-133 ◽  
Author(s):  
Slobodin Ortal ◽  
van de Glind Geurt ◽  
Franck Johan ◽  
Berger Itai ◽  
Yachin Nir ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Substance Use Disorders ◽  
Independent Risk Factors

Substance Use Relapse Among Veterans at Termination of Treatment for Substance Use Disorders

2021 ◽  
Author(s):  
Christian A Betancourt ◽  
Panagiota Kitsantas ◽  
Deborah G Goldberg ◽  
Beth A Hawks
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Logistic Regression ◽  
Substance Use Disorders ◽  
Classification Tree ◽  
Treatment Completion ◽  
Classification Tree Analysis ◽  
Data Set ◽  
Tree Analysis ◽  
Substance Addiction

ABSTRACT Introduction Military veterans continue to struggle with addiction even after receiving treatment for substance use disorders (SUDs). Identifying factors that may influence SUD relapse upon receiving treatment in veteran populations is crucial for intervention and prevention efforts. The purpose of this study was to examine risk factors that contribute to SUD relapse upon treatment completion in a sample of U.S. veterans using logistic regression and classification tree analysis. Materials and Methods Data from the 2017 Treatment Episode Data Set—Discharge (TEDS-D) included 40,909 veteran episode observations. Descriptive statistics and multivariable logistic regression analysis were conducted to determine factors associated with SUD relapse after treatment discharge. Classification trees were constructed to identify high-risk subgroups for substance use after discharge from treatment for SUDs. Results Approximately 94% of the veterans relapsed upon discharge from outpatient or residential SUD treatment. Veterans aged 18-34 years old were significantly less likely to relapse than the 35-64 age group (odds ratio [OR] 0.73, 95% confidence interval [CI]: 0.66, 0.82), while males were more likely than females to relapse (OR 1.55, 95% CI: 1.34, 1.79). Unemployed veterans (OR 1.92, 95% CI: 1.67, 2.22) or veterans not in the labor force (OR 1.29, 95% CI: 1.13, 1.47) were more likely to relapse than employed veterans. Homeless vs. independently housed veterans had 3.26 (95% CI: 2.55, 4.17) higher odds of relapse after treatment. Veterans with one arrest vs. none were more likely to relapse (OR 1.52, 95% CI: 1.19, 1.95). Treatment completion was critical to maintain sobriety, as every other type of discharge led to more than double the odds of relapse. Veterans who received care at 24-hour detox facilities were 1.49 (95% CI: 1.23, 1.80) times more likely to relapse than those at rehabilitative/residential treatment facilities. Classification tree analysis indicated that homelessness upon discharge was the most important predictor in SUD relapse among veterans. Conclusion Aside from numerous challenges that veterans face after leaving military service, SUD relapse is intensified by risk factors such as homelessness, unemployment, and insufficient SUD treatment. As treatment and preventive care for SUD relapse is an active field of study, further research on SUD relapse among homeless veterans is necessary to better understand the epidemiology of substance addiction among this vulnerable population. The findings of this study can inform healthcare policy and practices targeting veteran-tailored treatment programs to improve SUD treatment completion and lower substance use after treatment.

Substance use disorders as risk factors for suicide in an Eastern and a Central European city (Tallinn and Frankfurt/Main)

2009 ◽  
Vol 165 (3) ◽  
pp. 263-272 ◽  
Author(s):  
Barbara Schneider ◽  
Kairi Kõlves ◽  
Maria Blettner ◽  
Tilman Wetterling ◽  
Axel Schnabel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Substance Use Disorders ◽  
European City ◽  
Central European ◽  
Risk Factors For Suicide
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