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Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study.
Sullivan, Ryan M; Wade, Natasha E; Wallace, Alexander L; Tapert, Susan F; Pelham, William E; Brown, Sandra A; Cloak, Christine C; Feldstein Ewing, Sarah W; Madden, Pamela A F; Martz, Meghan E; Ross, J Megan; Kaiver, Christine M; Wirtz, Hailey G; Heitzeg, Mary M; Lisdahl, Krista M.
Afiliación
  • Sullivan RM; University of Wisconsin-Milwaukee, 2241 E. Hartford Ave, Milwaukee, Wisconsin 53211, United States.
  • Wade NE; University of California, San Diego, United States.
  • Wallace AL; University of Wisconsin-Milwaukee, 2241 E. Hartford Ave, Milwaukee, Wisconsin 53211, United States.
  • Tapert SF; University of California, San Diego, United States.
  • Pelham WE; University of California, San Diego, United States.
  • Brown SA; University of California, San Diego, United States.
  • Cloak CC; School of Medicine, University of Maryland, Baltimore, United States.
  • Feldstein Ewing SW; University of Rhode Island, United States.
  • Madden PAF; Washington University, St. Louis, United States.
  • Martz ME; University of Michigan, United States.
  • Ross JM; University of Colorado Anschutz Medical Campus, United States.
  • Kaiver CM; University of Wisconsin-Milwaukee, 2241 E. Hartford Ave, Milwaukee, Wisconsin 53211, United States.
  • Wirtz HG; University of Wisconsin-Milwaukee, 2241 E. Hartford Ave, Milwaukee, Wisconsin 53211, United States.
  • Heitzeg MM; University of Michigan, United States.
  • Lisdahl KM; University of Wisconsin-Milwaukee, 2241 E. Hartford Ave, Milwaukee, Wisconsin 53211, United States.
Article en En | MEDLINE | ID: mdl-36687306
ABSTRACT

Background:

Though largely substance-naïve at enrollment, a proportion of the youth in the Adolescent Brain Cognitive Development (ABCD) Study are expected to initiate substance use (SU) as they transition into later adolescence. With annual data from youth 9-13 years-old, this study aims to describe their SU patterns over time. Here, prevalence rates of use are reported, along with predicted odds of use while analyzing common risk-factors associated with youth SU.

Methods:

The ABCD Study® enrolled 11,876 participants at Baseline (ages 9-10) and has followed them annually. Data through half of the third follow-up visit are available (ages 12-13; n = 6,251). SU descriptives for al psychoactive substances over time are outlined. General estimating equations (GEEs) assessed whether sociodemographic factors, internalizing and externalizing symptoms, and parental SU problems were associated with SU between Baseline and Y2 follow-up.

Results:

Across time, alcohol and nicotine remain the most used substances. Yearly rates of any SU increased (past year use 13.9% in Y1; 14% Y2, 18.4% Y3). Cumulatively, by Y3, 39.7% of the cohort reported experimenting (e.g., sipping alcohol) with SU within their lifetime, while 7.4% reported a "full use" (a full alcohol drink, nicotine use, cannabis use, or any other SU) in their lifetime (past-year 1.9% alcohol, 2.1% nicotine, 1.1% cannabis, 1.2% other substances). GEEs revealed ongoing longitudinal associations between sociodemographic factors, greater externalizing symptoms, and parental drug problems with increased odds of initiating SU.

Conclusions:

As ABCD participants transition into their teenage years, the cohort is initiating SU at increasing (though still low) rates.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Drug Alcohol Depend Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Drug Alcohol Depend Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos