Likelihood of developing an alcohol and cannabis use disorder during youth: Association with recent use and age
Introduction
Several population- and clinical-based studies have documented that drug use during youth contributes to an elevated risk for developing a substance use disorder (SUD), starting with the publication by Robins and Przybeck (1985), and followed by several more recent analyses of survey data (DeWit et al., 2000, Grant and Dawson, 1997, Grant et al., 2001, Hingson et al., 2006, Nelson and Wittchen, 1998; Substance Abuse and Mental Health Administration, SAMHSA, 2005), and several prospective studies have also highlighted the reliable association of early onset of use and later drug use problems, including a substance use disorder (e.g., Brook et al., 2002, Lynskey et al., 2003, McGue et al., 2001).
The observed link between early onset of drug taking and increased risk of a SUD is important to the drug abuse literature for several reasons (Chen et al., 2005): the association between early onset and estimated SUD risk held up for over two decades of research and across diverse demographic groups (e.g., Grant and Dawson, 1997) and in other countries (e.g., Nelson and Wittchen, 1998, SAMHSA, 2005); the onset of use variable is relatively easy to measure, especially in the context of other more complex risk factors that represent the wide range of individual, peer, family and community risk factors reported in a vast literature (Hawkins et al., 1992); and this risk factor readily accommodates prevention programs that need to target their efforts toward a reliable and relatively universal factor (Winters et al., 2007).
The link between early onset use and estimated risk for SUDs may surely be influenced by the fact that early onset users accumulate more exposure to the drug and thus are at higher risk to develop a drug problem, compared to late onset users who have less exposure to drug involvement. But mechanisms other than duration of drug use are emerging as also important to consider. Two reports by Anthony and colleagues have analyzed national survey data to show that the risk afforded to early onset use is not just an artifact of exposure time (Anthony and Petronis, 1995, Chen et al., 2005). The recent report is particularly relevant to the present paper. They examined findings from the National Household Survey on Drug Abuse conducted during 2000–2001 of a representative sample of U.S. residents aged 12 and older (SAMHSA, 2001, SAMHSA, 2002). The analysis estimated the risk of becoming cannabis dependent among those whose first use of cannabis occurred within 24 months prior to taking the survey. Excess risk of cannabis dependence was the highest in the early to late adolescent age groups (age 12–18-years-old), with the highest rate at around the 14–15-year-old range. In addition, family incomes less than US$ 20,000 and those that used three or more drugs before the first use of cannabis was also associated with elevated risk.
The extant literature provides a basis to view both chronological age and age of onset as vital risk factors. Despite the fact that the association of early onset of drug use, age and progression to abuse or dependence has been studied in some detail, there is room to extend this work. To date, this body of work provides only a general picture of how chronological age and early onset use contribute to risk for SUD. Our research question is this: To what extent is there an elevated risk of developing alcohol and cannabis use disorders at each chronological age of youth among those who are recent onset users? There are no published reports that have examined this research question at each chronological age. Specifically, we explored the likelihood among recent (within the prior 2 years) onset users of alcohol and recent onset users of cannabis of having a current (prior year) DSM-IV-defined (APA, 1994) substance use disorder as a function of age of the respondent, based on responses to the 2003 NSDUH (SAMHSA, 2004). It is our expectation that the younger years will continue to reveal a strong link to drug use vulnerability when chronological age is more closely examined. A better understanding of the association of recent use, chronological age and estimated risk for developing drug problems will help further clarify the risk pathways toward SUDs for young people.
Section snippets
Participants
The study sample (N = 55,230) represents the public use file from the full 2003 NSDUH data set of representative individuals in the United States (N = 67,784) (SAMHSA, 2004). The target samples for the study are youth respondents (n = 27,708), which we define as the 12–21-year-old range. We wanted to capture both the core teenage years (12–18-years-old), as well as young adulthood (19–21-years-old). The older sample (age 22–26 and older) is included as a comparison (reference) group.
The demographic
Descriptive findings
Within the recent onset users, we computed at each chronological age the percentage of those that met the respective diagnostic criteria for an AUD and CUD. For alcohol, there was a general trend of an increase in the AUD rate during the 12–18-year-old range (from 7.2 to 9.9%), although a slight dip occurred at age 15 (see Fig. 1). At age 19, the rate dropped to 6.7% and stayed at a relatively lower rate for the remaining young adult age groups (4.1, 5.9, and 3.7%). For cannabis, the pattern of
Discussion
Our data confirm cross-sectional (e.g., Anthony and Petronis, 1995) and prospective (e.g., Grant et al., 2001) research supporting the view that youth is a developmental period of high risk for becoming either abusive of or dependent on substances. Specifically, our study provides three major findings. First, we observed that among the recent onset users, the only demographic variable that was reliably related to AUD and CUD was chronological age. Both the analyses with and without statistical
Disclosure
This research was supported by NIDA award K02DA15347 (Winters). NIDA had no role in the study design, data analysis, interpretation of the data, or in the decision to submit the paper for publication.
Conflicts of interest
There are no conflicts of interest to report for both authors.
Acknowledgements
Data reported herein acquired from national survey data collected under the direction of the Office of Applied Studies, Substance Abuse and Mental Health Services Administration.
Contributors: Author Winters designed the study. Winters took the lead on preparing the introduction and discussion; Lee took the lead in analyzing the data, and preparing the methods and results. Both authors approved the final manuscript.
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