Literature DB >> 25089182

Quick Screen to Detect Current and Future Substance Use Disorder in Female Adolescents.

Levent Kirisci1, Maureen Reynolds1, Ralph Tarter1.   

Abstract

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 as 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.

Entities:  

Keywords:  Addiction; Adolescence; Drug Use Screening Inventory-Revised; substance use disorder

Year:  2013        PMID: 25089182      PMCID: PMC4115676     

Source DB:  PubMed          Journal:  Int J Pers Cent Med        ISSN: 2043-7730


  7 in total

1.  Medicine. The NIH Roadmap.

Authors:  Elias Zerhouni
Journal:  Science       Date:  2003-10-03       Impact factor: 47.728

2.  Norms and sensitivity of the adolescent version of the drug use screening inventory.

Authors:  L Kirisci; A Mezzich; R Tarter
Journal:  Addict Behav       Date:  1995 Mar-Apr       Impact factor: 3.913

3.  Quick screen to detect current substance use disorder in adolescents and the likelihood of future disorder.

Authors:  Levent Kirisci; Maureen Reynolds; Darin Carver; Ralph Tarter
Journal:  Drug Alcohol Depend       Date:  2012-09-19       Impact factor: 4.492

4.  The assessment of affective disorders in children and adolescents by semistructured interview. Test-retest reliability of the schedule for affective disorders and schizophrenia for school-age children, present episode version.

Authors:  W J Chambers; J Puig-Antich; M Hirsch; P Paez; P J Ambrosini; M A Tabrizi; M Davies
Journal:  Arch Gen Psychiatry       Date:  1985-07

5.  Predicting adolescent violence: impact of family history, substance use, psychiatric history, and social adjustment.

Authors:  Ralph E Tarter; Levent Kirisci; Michael Vanyukov; Jack Cornelius; Kathleen Pajer; Gavin D Shoal; Peter R Giancola
Journal:  Am J Psychiatry       Date:  2002-09       Impact factor: 18.112

6.  Screening current and future diagnosis of psychiatric disorders using the Revised Drug Use Screening Inventory.

Authors:  Levent Kirisci; Ralph Tarter; Ada Mezzich; Maureen Reynolds
Journal:  Am J Drug Alcohol Abuse       Date:  2008       Impact factor: 3.829

7.  Evaluation and treatment of adolescent substance abuse: a decision tree method.

Authors:  R E Tarter
Journal:  Am J Drug Alcohol Abuse       Date:  1990       Impact factor: 3.829

  7 in total
  1 in total

1.  Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.

Authors:  Ziheng Hu; Yankang Jing; Ying Xue; Peihao Fan; Lirong Wang; Michael Vanyukov; Levent Kirisci; Junmei Wang; Ralph E Tarter; Xiang-Qun Xie
Journal:  Drug Alcohol Depend       Date:  2019-10-01       Impact factor: 4.492

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.