Literature DB >> 23284228

Self-Reported Age of Onset and Telescoping for Cigarettes, Alcohol, and Marijuana Across Eight Years of the National Longitudinal Survey of Youth.

Audrey M Shillington1, Susan I Woodruff, John D Clapp, Mark B Reed, Hector Lemus.   

Abstract

Smoking, drinking, and illicit drug use are leading causes of morbidity and mortality, both during adolescence as well as later in life. Although for some adolescents, substance use may last for only a brief period of experimentation, use of these substances in adolescence may have negative consequences. The determination of how well national and local policy and intervention efforts address teen substance use depends largely on the collection of valid and accurate data. Assessments of substance use rely heavily on retrospective self-report measures. The reliability and validity of self-reported substance use measures, however, may be limited by various sources of measurement error. This study utilizes four waves of data from the National Longitudinal Survey of Youth spanning eight years. Our wave-to-wave analyses examined the accuracy of self-reported age of onset for cigarette, alcohol and marijuana users. Findings indicate that approximately one-fourth of cigarette users, one-fifth of alcohol users and one-third of marijuana users reported their age of onset exactly the same across waves. Of those who reported the age of onset inaccurately, the error tended to be in the direction of reporting their age of onset as older at a latter wave relative to what was reported previously, known as forward telescoping. Results from multiple linear regression analyses showed that the single most consistent variable associated with telescoping was the number of years since the substance was first reported. Time since first report was the single consistent and strongly associated with telescoping in each wave-to-wave comparison for all three substances under study. Implications for policy and research are discussed.

Entities:  

Year:  2012        PMID: 23284228      PMCID: PMC3532889          DOI: 10.1080/1067828X.2012.710026

Source DB:  PubMed          Journal:  J Child Adolesc Subst Abuse        ISSN: 1067-828X


  11 in total

1.  Recanting of substance use reports in a longitudinal prevention study.

Authors:  Michael Fendrich; Dennis P Rosenbaum
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2.  The Stability of Self-Reported Marijuana Use Across Eight Years of the National Longitudinal Survey of Youth.

Authors:  Audrey M Shillington; John D Clapp; Mark B Reed
Journal:  J Child Adolesc Subst Abuse       Date:  2011-11-01

3.  Response consistency in young adolescents' drug use self-reports: a recanting rate analysis.

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4.  Inconsistencies in self-reported drug use by adolescents in substance abuse treatment: implications for outcome and performance measurements.

Authors:  Katherine M Harris; Beth Ann Griffin; Daniel F McCaffrey; Andrew R Morral
Journal:  J Subst Abuse Treat       Date:  2007-07-05

Review 5.  Sensitive questions in surveys.

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6.  On Correcting Biases in Self-Reports of Age at First Substance Use with Repeated Cross-Section Analysis.

Authors:  Andrew Golub; Bruce D Johnson; Erich Labouvie
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7.  Memory for time: how people date events.

Authors:  Steve M J Janssen; Antonio G Chessa; Jaap M J Murre
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8.  Personal and social skills training: cognitive-behavioral approaches to substance abuse prevention.

Authors:  G J Botvin; T A Wills
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9.  The reliability of self-reported age of onset of tobacco, alcohol and illicit drug use.

Authors:  T P Johnson; J A Mott
Journal:  Addiction       Date:  2001-08       Impact factor: 6.526

10.  The reminiscence bump in autobiographical memory: effects of age, gender, education, and culture.

Authors:  Steve M J Janssen; Antonio G Chessa; Jaap M J Murre
Journal:  Memory       Date:  2005-08
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  24 in total

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Authors:  Brianna C Bright; Julia N Soulakova
Journal:  Nicotine Tob Res       Date:  2013-12-30       Impact factor: 4.244

2.  The Speed of Progression to Tobacco and Alcohol Dependence: A Twin Study.

Authors:  Spencer B Huggett; Alexander S Hatoum; John K Hewitt; Michael C Stallings
Journal:  Behav Genet       Date:  2018-02-09       Impact factor: 2.805

3.  Predictors of Recall Error in Self-Report of Age at Alcohol Use Onset.

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Journal:  J Stud Alcohol Drugs       Date:  2016-09       Impact factor: 2.582

4.  Systematic review of surveillance by social media platforms for illicit drug use.

Authors:  Donna M Kazemi; Brian Borsari; Maureen J Levine; Beau Dooley
Journal:  J Public Health (Oxf)       Date:  2017-12-01       Impact factor: 2.341

5.  Age of onset or age at assessment-that is the question: Estimating newly incident alcohol drinking and rapid transition to heavy drinking in the United States, 2002-2014.

Authors:  Hui G Cheng; Catalina Lopez-Quintero; James C Anthony
Journal:  Int J Methods Psychiatr Res       Date:  2017-10-15       Impact factor: 4.035

6.  Cohort Alcohol Use in France and the Transition from Use to Alcohol Use Disorder and Remission.

Authors:  Mathilde M Husky; Chrianna Bharat; Jean-Pierre Lépine; Viviane Kovess-Masfety
Journal:  J Psychoactive Drugs       Date:  2019-05-10

7.  Alcohol Experiences Viewed Mutoscopically: Newly Incident Drinking of Twelve- to Twenty-Five-Year-Olds in the United States, 2002-2013.

Authors:  Hui G Cheng; Marven D Cantave; James C Anthony
Journal:  J Stud Alcohol Drugs       Date:  2016-05       Impact factor: 2.582

8.  Male-female differences in the onset of heavy drinking episode soon after first full drink in contemporary United States: From early adolescence to young adulthood.

Authors:  Hui G Cheng; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2018-07-19       Impact factor: 4.492

9.  Rapid transition from drinking to alcohol dependence among adolescent and young-adult newly incident drinkers in the United States, 2002-2013.

Authors:  Hui G Cheng; Madhur Chandra; Karl C Alcover; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2016-08-21       Impact factor: 4.492

10.  An ounce of prevention: securing bone health in adolescence.

Authors:  Giovanni Cizza; Kristina I Rother
Journal:  J Adolesc Health       Date:  2013-04       Impact factor: 5.012

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