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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9850746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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