Using Existing Data to Advance Knowledge About Adolescent and Emerging Adult Marijuana Use in the Context of Changes in Marijuana Policies
- PMID: 30719616
- PMCID: PMC6433138
- DOI: 10.1007/s11121-019-00991-w
Using Existing Data to Advance Knowledge About Adolescent and Emerging Adult Marijuana Use in the Context of Changes in Marijuana Policies
Abstract
Innovative analysis of existing social science and behavioral data has the potential to advance our understanding of the epidemiology and etiology of marijuana and other substance use among adolescents and emerging adults, so as to inform future policy, prevention, and intervention efforts. In this commentary, we highlight two commonly used and publicly available datasets, the National Survey on Drug Use and Health (NSDUH) and the Youth Risk Behavioral Survey (YRBS), in order to describe their usefulness for evaluation of the effects of changes in marijuana policy on adolescent and emerging adult substance use and marijuana-specific risk factors. We use recent examples of trend and quasi-experimental studies to highlight the unique strengths of each dataset. We also describe their limitations, identify gaps in existing knowledge, and offer recommendations for future research to answer emergent questions about the changing legal, social, and normative context related to marijuana and contribute to prevention efforts aimed at reducing substance use and related health risk behaviors among youth.
Conflict of interest statement
References
-
- Abadie A, Diamond A, & Hainmueller J (2010). Synthetic control methods for comparative case studies: Estimating the effect of California’s Tobacco Control Program. Journal of the American Statistical Association, 105, 493–505. doi:10.1198/jasa.2009.ap08746. - DOI
-
- Abadie A, & Gardeazabal J (2003). The economic costs of conflict: A case study of the Basque Country. American Economic Review, 93, 113–132. doi:10.1257/000282803-321455188. - DOI
-
- Alexander AC, Obong’o CO, Chavan P, Vander Weg MW, & Ward KD (2018). Applying the Problem Behavior Theory to adolescent drug use among a cross-sectional sample of boys participating in a community-based youth organization. Substance Use & Misuse, 53, 610–621. doi:10.1080/10826084.2017.1349802. - DOI - PubMed
-
- Amjad M, Shah D, & Shen D (2018). Robust synthetic control. Journal of Machine Learning Research: JMLR, 19, 802–852. http://www.jmlr.org/papers/volume19/17-777/17-777.pdf.
Publication types
MeSH terms
Substances
Grants and funding
- T32DA007292/DA/NIDA NIH HHS/United States
- K01 DA031738/DA/NIDA NIH HHS/United States
- R01DA044522/DA/NIDA NIH HHS/United States
- R21 DA037341/DA/NIDA NIH HHS/United States
- R01DA015183/DA/NIDA NIH HHS/United States
- T32 DA007292/DA/NIDA NIH HHS/United States
- R21DA037341/DA/NIDA NIH HHS/United States
- R56DA004452/DA/NIDA NIH HHS/United States
- R01 DA015183/DA/NIDA NIH HHS/United States
- R01 DA037866/DA/NIDA NIH HHS/United States
- R01DA037866/DA/NIDA NIH HHS/United States
- R01 DA044522/DA/NIDA NIH HHS/United States
- K01DA031738/DA/NIDA NIH HHS/United States
LinkOut - more resources
Full Text Sources
Medical