Alcohol outlet density and adolescent drinking behaviors in Thailand, 2007-2017: A spatiotemporal mixed model analysis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 04 01 2024
accepted: 17 07 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 31 10 2024
Statut: epublish

Résumé

This study aimed to explore the relationship between alcohol outlet density and the proportion of alcohol consumption among Thai adolescents. We utilized the alcohol consumption data from the 2007, 2011, and 2017 Tobacco and Alcohol Consumption Survey in Thailand. We analyzed the relationships between alcohol sales license figures and consumption behavior using a spatiotemporal mixed model. Our data had two levels. The upper (provincial) level featured alcohol sales license density (spatial effect), the years of survey (temporal effect), and the social deprivation index. The lower (individual) level included the demographic data of the adolescents. A total of 9,566 Thai adolescents participated in this study, based on surveys conducted in 2007 (n = 4,731), 2011 (n = 3,466), and 2017 (n = 1,369). The density of alcohol sales licenses increased the odds for the one-year current drinker category (odds ratio [OR] = 1.08, 95% confidence interval [CI], 1.04-1.45), especially in male adolescents (OR = 1.09, 95% CI, 1.04-1.14). Furthermore, it increased the odds for the heavy episodic drinker category for female adolescents (OR = 1.23, 95% CI, 1.05-1.44). Increased alcohol sales licenses are associated with higher alcohol consumption among Thai adolescents. This highlights the need for government organizations to develop and apply strategies to reduce the number of licenses for the sale of alcohol.

Identifiants

pubmed: 39480894
doi: 10.1371/journal.pone.0308184
pii: PONE-D-23-42353
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0308184

Informations de copyright

Copyright: © 2024 Vichitkunakorn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Polathep Vichitkunakorn (P)

Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

Sawitri Assanangkornchai (S)

Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

Kanittha Thaikla (K)

Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.

Suhaimee Buya (S)

School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand.
School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan.

Supeecha Rungruang (S)

Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

Mfahmee Talib (M)

Faculty of Nursing, Prince of Songkla University, Pattani Campus, Muang, Pattani, Thailand.

Warangkhana Duangpaen (W)

Department of Mathematics and Statistics, Faculty of Science, Prince of Songkla, University, Songkhla, Thailand.

Warintorn Bunyanukul (W)

School of Medicine and Health Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

Monsicha Sittisombut (M)

School of Medicine and Health Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

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