Evidence map›Paper›PMID 39442232›Full record

ArticleThe International journal on drug policy2024

Frequency is not enough: Characterizing heterogenous patterns of cannabis use intensity among reservation-area American Indian youth.

Meghan A Crabtree, Linda R Stanley, Mark A Prince, Randall C Swaim

Abstract read
In one paragraph

Article in The International journal on drug policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Meghan A CrabtreeTri-Ethnic Center for Prevention Research, Department of Psychology, Colorado State University, 1879 Campus Delivery, Fort Collins, CO 80523-1879, USA. Electronic address: Meghan.Crabtree@colostate.edu.
Linda R StanleyTri-Ethnic Center for Prevention Research, Department of Psychology, Colorado State University, 1879 Campus Delivery, Fort Collins, CO 80523-1879, USA. Electronic address: Linda.Stanley@colostate.edu.
Mark A PrinceTri-Ethnic Center for Prevention Research, Department of Psychology, Colorado State University, 1879 Campus Delivery, Fort Collins, CO 80523-1879, USA. Electronic address: Mark.Prince@colostate.edu.
Randall C SwaimTri-Ethnic Center for Prevention Research, Department of Psychology, Colorado State University, 1879 Campus Delivery, Fort Collins, CO 80523-1879, USA. Electronic address: Randall.Swaim@colostate.edu.

Funding

Substance Use Among American Indian Youth: Epidemiology & EtiologyR01DA003371 · NIDA · COLORADO STATE UNIVERSITY-FORT COLLINS · PI Meghan A Crabtree, KIMBERLY L HENRY · 1985 to 2026
$13.7M
NIDA NIH HHS R01 DA003371
6 · The paper itself

Abstract

backgroundReservation-area American Indian (AI) youth use cannabis at significantly higher rates than their national counterparts. This discrepancy is concerning, as cannabis use-particularly heavy use-can negatively impact adolescents' health. Studies primarily use frequency to classify cannabis use intensity; however, frequency alone may not fully capture heterogenous patterns of use. This study aimed to classify AI adolescents' cannabis use based on multiple intensity indicators, and to investigate interclass differences in problematic characteristics and outcomes of use.

methodsParticipants were 799 reservation-area AI youth (7-12th grade) reporting 12-month cannabis use. Latent Class Analysis (LCA) was used to distinguish cannabis use intensity patterns based on frequency, typical intoxication levels and duration. Auxiliary tests using R3STEP and BCH 3-step procedures were used to assess class predictors (age, initiation age, sex) and interclass differences in simultaneous drug use, stress-motivated use, problems quitting and cannabis-related consequences.

resultsFour classes emerged: Light Use (LU; 19 %), Occasional Intoxication (OI; 32 %), Mid-frequency Use(MU; 28 %), and Heavy Use (HU; 21 %). Age and initiation age correlated with membership odds in a heavier use class. Interclass differences in problematic characteristics and outcomes occurred between all classes, particularly for stress-motivated use and cannabis-related consequences-with HU reporting the most problematic characteristics and negative outcomes.

conclusionThese findings suggest that accounting for multiple dimensions of usage intensity may be important in studies examining cannabis use and related problems among AI adolescents. Tailoring intervention programming to address complex cannabis use patterns, with particular focus on stress-coping skills and harm reduction, can ensure AI youth most at risk for cannabis problems gain maximal benefit from prevention efforts.

Indexed as

Indians, North AmericanMarijuana UseAdolescentAdolescent BehaviorChildFemaleHumansLatent Class AnalysisMaleMarijuana SmokingAmerican Indian adolescentsCannabisCannabis-related consequencesHeavy useLatent class analysisMarijuana

Identifiers

PMID39442232
PMCPMC12536667

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.