# Developmental Trajectories of Positive Expectancies of Cannabis Use Effects Among Early Adolescents: Longitudinal Observational Study Using Latent Class Growth Analysis

**Authors:** Weisiyu Abraham Qin, Dong-Chul Seo, Wura Jacobs, Sijia Huang, Kit K Elam

PMC · DOI: 10.2196/85652 · JMIR Public Health and Surveillance · 2026-01-09

## TL;DR

This study tracks how early adolescents develop beliefs about the positive effects of cannabis and finds that these beliefs are influenced by family dynamics and mental health.

## Contribution

The study identifies distinct developmental patterns of cannabis use expectancies and their predictors in early adolescence using longitudinal data.

## Key findings

- Four distinct trajectories of cannabis use expectancies were identified, including moderate-increasing, high-increasing, low-increasing, and high-decreasing profiles.
- Parental monitoring and strict family rules consistently reduced positive cannabis expectancies, especially in high-risk groups.
- Psychopathological symptoms increasingly predicted cannabis expectancies as adolescents aged.

## Abstract

Positive expectancies of cannabis use effects, which are the beliefs about the anticipated positive effects of cannabis, are robust cognitive precursors of adolescent cannabis initiation and escalation. However, little is known about how sociodemographic, familial, and psychopathological factors predict positive expectancies of cannabis use effects or how these expectancies evolve across early adolescence.

This study aimed to identify distinct developmental trajectories of positive expectancies of cannabis use effects among early adolescents, as well as the longitudinal effects of familial factors on positive expectancies of cannabis use effects over time.

This study used latent class growth analysis with 3 waves of longitudinal data from the Adolescent Brain Cognitive Development Study (ABCD Study) to identify distinct trajectories of positive expectancies of cannabis use effects among a large, demographically diverse cohort of early adolescents (aged 10‐13 years). Multinomial logistic regression was used to examine whether baseline sociodemographic and policy-level factors were associated with class membership. Time-varying effects of familial factors (ie, parental monitoring, family cannabis use rules, and family conflict) and adolescents’ psychopathology were examined within and across trajectory classes using class-specific and common effects models.

Four distinct trajectories of positive expectancies of cannabis use effects emerged with different profiles: moderate-increasing (3118/7409, 42.1%), high-increasing (2111/7409, 28.5%), low-increasing (1496/7409, 20.2%), and high-decreasing (684/7409, 9.2%) trajectories. Parental monitoring and strict family cannabis use rules consistently predicted lower positive expectancies of cannabis use effects, particularly in the moderate- and high-increasing groups, while family conflict emerged as a robust risk factor. Psychopathological symptoms became increasingly predictive of positive expectancies of cannabis use effects at later ages, suggesting a developmental shift in vulnerability.

The development of positive expectancies of cannabis use effects in early adolescence is heterogeneous and shaped by the interplay among sociodemographic, familial, and psychopathological factors. These findings highlight the critical window for early, family-based prevention and underscore the importance of tailoring intervention strategies to specific developmental and risk profiles.

## Full-text entities

- **Diseases:** aBIC (MESH:D000275), depression (MESH:D003866), MEEQ-B (MESH:D002189), family dysfunction (MESH:D020739), impaired social functioning (OMIM:300082), ABCD (MESH:D002658), substance use (MESH:D019966), LCGA (MESH:D006130)
- **Chemicals:** alcohol (MESH:D000438), nicotine (MESH:D009538), BIC (-)
- **Species:** Nicotiana tabacum (American tobacco, species) [taxon 4097], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

121 references — full list in the complete paper: https://tomesphere.com/paper/PMC12788717/full.md

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Source: https://tomesphere.com/paper/PMC12788717