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Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study

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 describ...

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Autores principales: Sullivan, Ryan M., Wade, Natasha E., Wallace, Alexander L., Tapert, Susan F., Pelham, William E., Brown, Sandra A., Cloak, Christine C, Ewing, Sarah W. Feldstein, Madden, Pamela A.F., Martz, Meghan E., Ross, J. Megan, Kaiver, Christine M., Wirtz, Hailey G., Heitzeg, Mary M., Lisdahl, Krista M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850746/
https://www.ncbi.nlm.nih.gov/pubmed/36687306
http://dx.doi.org/10.1016/j.dadr.2022.100120
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author Sullivan, Ryan M.
Wade, Natasha E.
Wallace, Alexander L.
Tapert, Susan F.
Pelham, William E.
Brown, Sandra A.
Cloak, Christine C
Ewing, Sarah W. Feldstein
Madden, Pamela A.F.
Martz, Meghan E.
Ross, J. Megan
Kaiver, Christine M.
Wirtz, Hailey G.
Heitzeg, Mary M.
Lisdahl, Krista M.
author_facet Sullivan, Ryan M.
Wade, Natasha E.
Wallace, Alexander L.
Tapert, Susan F.
Pelham, William E.
Brown, Sandra A.
Cloak, Christine C
Ewing, Sarah W. Feldstein
Madden, Pamela A.F.
Martz, Meghan E.
Ross, J. Megan
Kaiver, Christine M.
Wirtz, Hailey G.
Heitzeg, Mary M.
Lisdahl, Krista M.
author_sort Sullivan, Ryan M.
collection PubMed
description 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 all 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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spelling pubmed-98507462023-01-19 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 Ewing, Sarah W. Feldstein Madden, Pamela A.F. Martz, Meghan E. Ross, J. Megan Kaiver, Christine M. Wirtz, Hailey G. Heitzeg, Mary M. Lisdahl, Krista M. Drug Alcohol Depend Rep Full Length Report 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 all 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. Elsevier 2022-11-15 /pmc/articles/PMC9850746/ /pubmed/36687306 http://dx.doi.org/10.1016/j.dadr.2022.100120 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Full Length Report
Sullivan, Ryan M.
Wade, Natasha E.
Wallace, Alexander L.
Tapert, Susan F.
Pelham, William E.
Brown, Sandra A.
Cloak, Christine C
Ewing, Sarah W. Feldstein
Madden, Pamela A.F.
Martz, Meghan E.
Ross, J. Megan
Kaiver, Christine M.
Wirtz, Hailey G.
Heitzeg, Mary M.
Lisdahl, Krista M.
Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study
title Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study
title_full Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study
title_fullStr Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study
title_full_unstemmed Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study
title_short Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study
title_sort substance use patterns in 9 to 13-year-olds: longitudinal findings from the adolescent brain cognitive development (abcd) study
topic Full Length Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850746/
https://www.ncbi.nlm.nih.gov/pubmed/36687306
http://dx.doi.org/10.1016/j.dadr.2022.100120
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