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Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions

(1) Aim: To summarize alcohol trends in the last 30 years (1985/6–2017/8) among 15-year-olds in Health Behaviour in School-aged Children (HBSC) countries (overall sample size: 413,399 adolescents; 51.55% girls) and to forecast the potential evolution in the upcoming 2021/22 HBSC survey. (2) Methods:...

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Autores principales: Charrier, Lorena, Bersia, Michela, Vieno, Alessio, Comoretto, Rosanna Irene, Štelemėkas, Mindaugas, Nardone, Paola, Baška, Tibor, Dalmasso, Paola, Berchialla, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910627/
https://www.ncbi.nlm.nih.gov/pubmed/35270429
http://dx.doi.org/10.3390/ijerph19052737
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author Charrier, Lorena
Bersia, Michela
Vieno, Alessio
Comoretto, Rosanna Irene
Štelemėkas, Mindaugas
Nardone, Paola
Baška, Tibor
Dalmasso, Paola
Berchialla, Paola
author_facet Charrier, Lorena
Bersia, Michela
Vieno, Alessio
Comoretto, Rosanna Irene
Štelemėkas, Mindaugas
Nardone, Paola
Baška, Tibor
Dalmasso, Paola
Berchialla, Paola
author_sort Charrier, Lorena
collection PubMed
description (1) Aim: To summarize alcohol trends in the last 30 years (1985/6–2017/8) among 15-year-olds in Health Behaviour in School-aged Children (HBSC) countries (overall sample size: 413,399 adolescents; 51.55% girls) and to forecast the potential evolution in the upcoming 2021/22 HBSC survey. (2) Methods: Using 1986–2018 prevalence data on weekly alcohol consumption among 15-year-olds related to 40 HBSC countries/regions, a Bayesian semi-parametric hierarchical model was adopted to estimate trends making a clusterization of the countries, and to give estimates for the 2022 HBSC survey. (3) Results: An overall declining trend in alcohol consumption was observed over time in almost all the countries. However, compared to 2014, some countries showed a new increase in 2018 and 2021/22 estimates forecast a slight increase in the majority of countries, pointing out a potential bounce after a decreasing period in frequent drinking habits. (4) Conclusions: The clusterization suggested a homogenization of consumption habits among HBSC countries. The comparison between 2022 observed and expected data could be helpful to investigate the effect of risk behaviour determinants, including the pandemic impact, occurring between the last two waves of the survey.
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spelling pubmed-89106272022-03-11 Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions Charrier, Lorena Bersia, Michela Vieno, Alessio Comoretto, Rosanna Irene Štelemėkas, Mindaugas Nardone, Paola Baška, Tibor Dalmasso, Paola Berchialla, Paola Int J Environ Res Public Health Article (1) Aim: To summarize alcohol trends in the last 30 years (1985/6–2017/8) among 15-year-olds in Health Behaviour in School-aged Children (HBSC) countries (overall sample size: 413,399 adolescents; 51.55% girls) and to forecast the potential evolution in the upcoming 2021/22 HBSC survey. (2) Methods: Using 1986–2018 prevalence data on weekly alcohol consumption among 15-year-olds related to 40 HBSC countries/regions, a Bayesian semi-parametric hierarchical model was adopted to estimate trends making a clusterization of the countries, and to give estimates for the 2022 HBSC survey. (3) Results: An overall declining trend in alcohol consumption was observed over time in almost all the countries. However, compared to 2014, some countries showed a new increase in 2018 and 2021/22 estimates forecast a slight increase in the majority of countries, pointing out a potential bounce after a decreasing period in frequent drinking habits. (4) Conclusions: The clusterization suggested a homogenization of consumption habits among HBSC countries. The comparison between 2022 observed and expected data could be helpful to investigate the effect of risk behaviour determinants, including the pandemic impact, occurring between the last two waves of the survey. MDPI 2022-02-26 /pmc/articles/PMC8910627/ /pubmed/35270429 http://dx.doi.org/10.3390/ijerph19052737 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Charrier, Lorena
Bersia, Michela
Vieno, Alessio
Comoretto, Rosanna Irene
Štelemėkas, Mindaugas
Nardone, Paola
Baška, Tibor
Dalmasso, Paola
Berchialla, Paola
Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions
title Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions
title_full Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions
title_fullStr Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions
title_full_unstemmed Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions
title_short Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions
title_sort forecasting frequent alcohol use among adolescents in hbsc countries: a bayesian framework for making predictions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910627/
https://www.ncbi.nlm.nih.gov/pubmed/35270429
http://dx.doi.org/10.3390/ijerph19052737
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