Quick Screen to Detect Current and Future Substance Use Disorder in Adolescent Females

2014 ◽  
Vol 3 (4) ◽  
pp. 280-285
Author(s):  
Levent Kirisci ◽  
Maureen Reynolds ◽  
Ralph Tartar

Background. Prevention of substance use disorder (SUD) is impeded by the large number, complexity and idiosyncratic configuration of etiological factors.  Effective prevention of SUD is feasible however when intervention resources are prioritized to individuals who are objectively determined high risk and tailored to their  specific characteristics and circumstances.Objective. This study had the aim of developing a rapid accurate screening instrument for determining current presence of and future risk for SUD. Methods. The sample consisted of 182 girls recruited when they were 10-12 years of age and tracked to 22 years of age.  From a large item pool the Drug Use Screening Inventory Quick Screen for Females (DQS-F) was derived consisting of the Substance Involvement Index and the Problem Severity Index.Results. The DQS for Females (DQS-F) has high sensitivity for identifying girls who currently qualify for SUD diagnosis.  Furthermore, accuracy of predicting future SUD with the DQS-F is in the good range at age 16 and in the very good range at age 19.Conclusions. Requiring only three minutes for administration on the Web the DQS-F is an efficient method for identifying girls requiring thorough assessment prior to implementing individualized intervention.

2021 ◽  
Vol 11 (5) ◽  
pp. 59-61
Author(s):  
Abu Shehab Ala Hani Izzat ◽  
Lucretia Anghel ◽  
Bogdan Stefanescu ◽  
Cristina Kantor ◽  
Anamaria Ciubara

Substance use disorder in a severe mode is called addiction, it is a chronic disorder of the brain determined by biological and social factors that have unhealthy consequences to individuals and to community. Understanding substance use disorder has improved our perspectives in the last thirty years due to major advancement in researches related to genetics and neuroscience. In addition to the evolution of new technologies and methods that helped us create advanced prevention techniques and interventions. Methods: PubMed was used to conduct the literature searches, observational and interventional studies focused on adult substance use were obtained. Findings were collected and arranged to cover the main points of epidemiology, neurobiology and prevention. Results: substance-related use patterns have evolved over time, which are informed via peer behaviors, environmental factors, messaging platforms, availability of various substances, and other different variables. Many risk factors in addition to resiliency factors contributed to individual differences in substance use and related results. Prevention methods have achieved mixed results, although many evidence-based treatments were developed for substance use disorder, the results are limited to a moderate level, suggesting the need for additional research to evolve prevention methods and treatment. Conclusion: It is necessary to mention that there is a high demand to identify cost effective prevention methods. The integration of prevention methods and techniques, including interventions at the school, family and society levels, is more likely to achieve the results needed.


2016 ◽  
Vol 11 (3) ◽  
pp. 244-260 ◽  
Author(s):  
William B. Hansen ◽  
Jared L. Hansen

Purpose The purpose of this paper is to present a strategy for estimating an individual’s risk of alcohol, cigarette and cannabis use that relies on an assessment of an adolescent’s age, gender and attitude. Design/methodology/approach The authors assembled surveys from 35,987 11-17 year-olds from 36 databases to examine the relationship between attitude and behaviour. Findings Attitudes were strongly correlated with concurrent use of alcohol, drunkenness, smoking and cannabis, with correlations of −0.555, −0.517, −0.552 and −0.476, respectively. Logistic regression provided a means for using age, gender and attitudes to estimate an individual’s risk of engaging in substance use behaviour. Developmental changes in attitudes were estimated by analysing changes in scores associated with percentile rankings for each age and gender group. Projected year-to-year changes in attitude were used as a heuristic for estimating future risk. Research limitations/implications Analyses relied on cross-sectional panel data. Analyses would benefit from longitudinal data in which age-related changes in attitudes could be more precisely modelled. Practical implications Information about estimated current and future risk may prove useful for motivating the adoption and implementation of effective prevention approaches by parents and care providers. Originality/value The authors present a novel method for estimating an individual’s risk of substance use knowing attitude, age and gender.


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