People who started using cannabis as teenagers made worse decisions in a gambling task

Early-onset cannabis users (before age 18) performed worse on the Iowa Gambling Task than late-onset users and non-users, showing decision-making driven more by short-term gains and less by loss avoidance.

Alameda-Bailén, Jose Ramón et al.·PeerJ·2018·Preliminary EvidenceCross-Sectional
RTHC-01569Cross SectionalPreliminary Evidence2018RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Cross-Sectional
Evidence
Preliminary Evidence
Sample
N=72

What This Study Found

Researchers compared decision-making ability across three groups: 72 participants divided into early-onset cannabis users (who started before 18), late-onset users (who started at 18 or later), and non-using controls. They used a computerized version of the Iowa Gambling Task, where participants choose from card decks with varying risk-reward profiles.

Early-onset consumers performed significantly worse than both late-onset users and controls. When researchers applied a computational model to understand the decision-making process, they found that early-onset users were more influenced by the raw magnitude of gains and losses rather than their probability, and their choices were more determined by short-term results without adequate aversion to losses.

Late-onset users did not show the same decision-making deficits, performing similarly to non-users. This pattern suggests that the age at which cannabis use begins may be more important than cannabis use itself for long-term decision-making ability.

Key Numbers

72 participants total: 19 women, 53 men. Three groups: early-onset users, late-onset users, non-users. Early-onset users showed significantly worse IGT performance. Computational modeling revealed early-onset users had less loss aversion and more recency bias in their decisions.

How They Did This

This was a cross-sectional study of 72 participants (19 women, 53 men) divided into three groups via purposive sampling: early-onset cannabis consumers, late-onset consumers, and non-consumer controls. Decision-making was assessed using the "Cartas" program (computerized Iowa Gambling Task) in both direct and inverse versions. The Prospect Valence Learning computational model was applied to characterize decision-making along four dimensions: utility, loss aversion, recency, and consistency.

Why This Research Matters

Decision-making is a fundamental executive function that affects everything from financial choices to risk behavior. If starting cannabis before the brain finishes developing (around age 25) specifically impairs this capacity, it provides a concrete reason for prevention efforts to focus on delaying the age of first use rather than simply preventing all use.

The Bigger Picture

This study adds to a growing body of evidence suggesting that cannabis exposure during adolescence, when the prefrontal cortex is still developing, has different consequences than adult-onset use. The decision-making deficits observed align with what we know about prefrontal cortex function and its protracted development through the mid-twenties.

What This Study Doesn't Tell Us

The sample was small at 72 participants, and the cross-sectional design cannot determine whether pre-existing decision-making differences led to earlier cannabis use rather than the reverse. The study did not control for concurrent use of other substances. Purposive rather than random sampling limits generalizability.

Questions This Raises

  • ?Do the decision-making deficits observed in early-onset users recover with prolonged abstinence?
  • ?Are these deficits a cause or consequence of early cannabis use?
  • ?Does the type or potency of cannabis matter for long-term decision-making outcomes?

Trust & Context

Key Stat:
Early-onset users showed worse decision-making; late-onset users performed like non-users
Evidence Grade:
This is a small cross-sectional study with purposive sampling, providing preliminary evidence of an association between early cannabis onset and decision-making deficits.
Study Age:
Published in 2018. Research on cannabis onset age and neurocognitive outcomes continues to develop.
Original Title:
Age of onset of cannabis use and decision making under uncertainty.
Published In:
PeerJ, 6, e5201 (2018)
Database ID:
RTHC-01569

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study

A snapshot of a population at one point in time.

What do these levels mean? →

Frequently Asked Questions

Does starting cannabis young permanently affect decision-making?

This study found worse decision-making in early-onset users but could not determine whether the effects are permanent. The cross-sectional design captured a snapshot rather than tracking changes over time. Recovery with abstinence was not assessed.

Does it matter when you start using cannabis?

This study found that people who started before 18 showed decision-making deficits, while those who started at 18 or later performed similarly to non-users. This suggests that age of onset may be more important than cannabis use itself for certain cognitive outcomes.

Read More on RethinkTHC

Cite This Study

RTHC-01569·https://rethinkthc.com/research/RTHC-01569

APA

Alameda-Bailén, Jose Ramón; Salguero-Alcañiz, Pilar; Merchán-Clavellino, Ana; Paíno-Quesada, Susana. (2018). Age of onset of cannabis use and decision making under uncertainty.. PeerJ, 6, e5201. https://doi.org/10.7717/peerj.5201

MLA

Alameda-Bailén, Jose Ramón, et al. "Age of onset of cannabis use and decision making under uncertainty.." PeerJ, 2018. https://doi.org/10.7717/peerj.5201

RethinkTHC

RethinkTHC Research Database. "Age of onset of cannabis use and decision making under uncer..." RTHC-01569. Retrieved from https://rethinkthc.com/research/alameda-bailen-2018-age-of-onset-of

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.