Alcohol use disorder, heavy drinking, and binge drinking among adolescents and young adults that are “Not in Employment, Education or Training”: a systematic review and meta-analysis

In 2022, 12.7% of individuals aged 15-to-29 years old in OECD countries were Not in Employment, Education or Training (NEET). Two existing systematic reviews have studied alcohol use in relation to NEET status, with one showing that young people with NEET status (YP-NEET) are at a higher risk of alcohol consumption. However, they did not explore how findings varied based on different NEET subgroups nor the diverse patterns of problematic drinking (e.g. alcohol use disorder (AUD), heavy drinking, binge drinking). Both are essential for understanding consumption behaviours and informing future prevention strategies. This study aimed to analyse problematic drinking among YP-NEET, considering their diverse drinking patterns and group heterogeneity compared to their peers. A systematic review and meta-analysis were conducted following the PRISMA and MOOSE guidelines. The included articles were observational studies examining the associations between different NEET profiles and problematic drinking patterns (i.e. AUD, heavy drinking, and binge drinking) compared to their peers (i.e. students or employed youth). Twenty-three studies were analysed, including a total of 518,533 individuals. The prevalence of each consumption pattern was higher for YP-NEET compared to their peers of the same age. NEET status was significantly associated with AUD (cOR = 1.35, 95%CI = 1.16–1.56) but neither with heavy drinking (cOR = 1.28, 95%CI = 0.74–2.22) nor binge drinking (cOR = 1.19, 95%CI = 0.97–1.48). The most represented NEET profile and the one with the highest level of AUD was the group of unemployed youth. This study highlighted an increased risk of AUD among YP-NEET and high prevalence rates of heavy and binge drinking. However, a critical methodological concern is that standard AUD diagnostic criteria may lack construct validity for YP-NEET, as they include items related to occupational and social dysfunction altered by the NEET status itself. Addressing these measurement challenges, while considering consumption patterns and the diversity of NEET profiles, is crucial for developing effective, adapted, and evidence-based alcohol prevention intervention. CRD42023401994.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-07-30
DOI
https://doi.org/10.1186/s12889-026-28739-6
Primary Topic
Youth Education and Societal Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Alcohol use disorder, heavy drinking, and binge drinking among adolescents and young adults that are “Not in Employment, Education or Training”: a systematic review and meta-analysis

Agnès Dumas, Philippe Martin, Corinne Alberti, Clara Eyraud et al.
BMC Public Health
Youth Education and Societal Dynamics
article

Alcohol use disorder, heavy drinking, and binge drinking among adolescents and young adults that are “Not in Employment, Education or Training”: a systematic review and meta-analysis

Agnès Dumas, Philippe Martin, Corinne Alberti, Clara Eyraud, Énora Le Roux, Claire Collin
article en

Abstract

In 2022, 12.7% of individuals aged 15-to-29 years old in OECD countries were Not in Employment, Education or Training (NEET). Two existing systematic reviews have studied alcohol use in relation to NEET status, with one showing that young people with NEET status (YP-NEET) are at a higher risk of alcohol consumption. However, they did not explore how findings varied based on different NEET subgroups nor the diverse patterns of problematic drinking (e.g. alcohol use disorder (AUD), heavy drinking, binge drinking). Both are essential for understanding consumption behaviours and informing future prevention strategies. This study aimed to analyse problematic drinking among YP-NEET, considering their diverse drinking patterns and group heterogeneity compared to their peers. A systematic review and meta-analysis were conducted following the PRISMA and MOOSE guidelines. The included articles were observational studies examining the associations between different NEET profiles and problematic drinking patterns (i.e. AUD, heavy drinking, and binge drinking) compared to their peers (i.e. students or employed youth). Twenty-three studies were analysed, including a total of 518,533 individuals. The prevalence of each consumption pattern was higher for YP-NEET compared to their peers of the same age. NEET status was significantly associated with AUD (cOR = 1.35, 95%CI = 1.16–1.56) but neither with heavy drinking (cOR = 1.28, 95%CI = 0.74–2.22) nor binge drinking (cOR = 1.19, 95%CI = 0.97–1.48). The most represented NEET profile and the one with the highest level of AUD was the group of unemployed youth. This study highlighted an increased risk of AUD among YP-NEET and high prevalence rates of heavy and binge drinking. However, a critical methodological concern is that standard AUD diagnostic criteria may lack construct validity for YP-NEET, as they include items related to occupational and social dysfunction altered by the NEET status itself. Addressing these measurement challenges, while considering consumption patterns and the diversity of NEET profiles, is crucial for developing effective, adapted, and evidence-based alcohol prevention intervention. CRD42023401994.

BMC Public Health
Inserm (FR), Université Paris Cité (FR), Fondation de France (FR), Sorbonne Paris Cité (FR), Assistance Publique – Hôpitaux de Paris (FR), National Institute for Demographic Studies (FR), Hôpital Robert-Debré (FR), Economic & Social Sciences, Health Systems & Medical Informatics (FR), Institut de Recherche pour le Développement (FR)
Institut National Du Cancer
Openalex Percentile: Top 4%
Youth Education and Societal Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.