Cited by 22Cannabis and Cannabinoid ResearchSubstance Abuse Treatment and OutcomesSmoking Behavior and Cessation

From cannabis initiation to daily use: educational inequalities in consumption behaviours over three generations in France: Transition to cannabis daily use

Legleye, Stéphane, Khlat, Myriam, Mayet, Aurélie, Beck, François, Falissard, Bruno, Chau, Nearkasen, Peretti-Watel, Patrick·2016·Addiction

Abstract

AIMS: The diffusion of cannabis initiation has been accompanied by a reversal in the educational gradient: contrary to older generations, the less educated in recent generations are more likely to initiate than the more educated. We tested whether the educational gradient for the transition from initiation to daily use evolved in the same way. DESIGN/SETTING: A French telephone random survey conducted in 2010 (21 818 respondents aged 15-64 years), asking interviewees about their ages at initiation to daily use, if any. PARTICIPANTS: A total of 6824 cannabis initiators aged 18-64 years at data collection. Three birth cohort groups (generations) were compared: 1946-60 (n = 767), 1961-75 (n = 2632) and 1976-92 (n = 3425) with, respectively, 47, 42 and 45% of women. MEASURES: Risks of transition to daily use from ages 11-34 were compared through time-discrete logistic regressions and educational gradients were quantified through a relative index of inequality (RII). Control variables include age and time-varying variables (ages at tobacco daily use, at first drunkenness and at first other use of an illicit drug in a list of 13 products). FINDINGS: Twenty-four per cent of the initiators reported daily use before age 35, the proportions tripling from the oldest to the youngest generation (from 11.7 to 38.6% in men, from 7.7 to 22.2% in women). Whatever the generation, the less educated initiators more often shifted to daily use than the most educated: from the oldest to the youngest generation, RII = 2.13, 95% confidence interval (CI) = [0.65, 7.02]; 2.19 95% CI = [1.33, 3.63]; and 2.24, 95% CI = [1.60, 3.15] in men; RII = 3.31, 95% CI = [0.75, 14.68]; 3.17, 95% CI = [1.49, 6.76]; and 3.56, 95% CI = [2.07, 6.14] in women, respectively. CONCLUSION: In France, the risk of transition from cannabis initiation to daily use has remained consistently higher among less educated cannabis initiators over three generations (1946-60, 1961-75, 1976-92), in contrast to what is observed for initiation.

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Crossref · 10.1111/add.13461

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Authors
Legleye, S., Khlat, M., Mayet, A., Beck, F., Falissard, B., Chau, N., & Peretti-Watel, P.
Affiliations
  • Université Paris-Sud (FR)
  • Institut national d'études démographiques (FR)
  • Université Paris Descartes (FR)
  • INSERM, Mental Health in Public Health; Université Paris-Sud, Université Paris-Saclay; Villejuif France
  • INSERM; ‘Economics and Social Sciences Applied to Health and Analysis of Medical Information’ (SESSTIM); Marseille France
Corresponding author
Legleye, Stéphane
Venue
Addiction
Publisher
Wiley
Published
2016-07-26
Volume
111
Issue
10
Pages
1856-1866
ISSN
0965-2140 (ISSN-L)
OpenAlex
W2402891381
Cited by
22
References
49
Citations by year
2026: 3 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 5 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 1
FWCI
1.62
Type
journal article
Language
en
Open access
closed
Locations
  • Addiction (publishedVersion)
  • PubMed (publishedVersion)
  • Archined (submittedVersion)
Topics
  • Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
Keywords
cannabis initiation, daily cannabis use, educational gradient, educational inequality, birth cohort, generational differences, relative index of inequality, illicit drug use, tobacco use, alcohol consumption, France, gender differences in drug use, age at initiation
MeSH terms
Marijuana Use, Adolescent, Adult, Educational Status, Female, France, Humans, Male, Middle Aged, Socioeconomic Factors, Age of Onset, Age Distribution, Sex Distribution, Health Status Disparities, Young Adult

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