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Burden of alcohol use disorders in China and the regions with different income levels over the world

BACKGROUND: Alcohol use disorders (AUD) has long been one of the most disability mental disorders and a major cause of health loss. METHODS: Based on open access data from the 2019 Global Burden of Disease (GBD 2019) study, we extracted data of years lived with disability (YLD), years of life lost (...

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Autores principales: Qu, Xiang, Liu, Mi, Ke, Changrong, Liang, Juanjuan, Du, Yuanze, Yao, Liqun, Li, Juanjuan, Mu, Guixian, Liu, Shiwei, Wang, Chunping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710067/
https://www.ncbi.nlm.nih.gov/pubmed/35003718
http://dx.doi.org/10.7189/jogh.11.08011
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author Qu, Xiang
Liu, Mi
Ke, Changrong
Liang, Juanjuan
Du, Yuanze
Yao, Liqun
Li, Juanjuan
Mu, Guixian
Liu, Shiwei
Wang, Chunping
author_facet Qu, Xiang
Liu, Mi
Ke, Changrong
Liang, Juanjuan
Du, Yuanze
Yao, Liqun
Li, Juanjuan
Mu, Guixian
Liu, Shiwei
Wang, Chunping
author_sort Qu, Xiang
collection PubMed
description BACKGROUND: Alcohol use disorders (AUD) has long been one of the most disability mental disorders and a major cause of health loss. METHODS: Based on open access data from the 2019 Global Burden of Disease (GBD 2019) study, we extracted data of years lived with disability (YLD), years of life lost (YLL) and disability-adjusted life years (DALY) to describe the changes of AUD burden over the period of 1990-2019 stratified by sex in globe, high-income countries (HICs), upper-middle income countries (UMCs), lower-middle income countries (LMCs), low-income countries (LICs) and China. We used Joinpoint regression model to fit the changing trend of years. And pairwise comparison was applied to test the coincidence parallelism and judge whether the difference of the trend among different regions is statistically significant. RESULTS: LMCs experienced the largest changes in the YLD rate of AUD from 1990 to 2019 (average annual percent change (AAPC) = -0.7, 95% confidence interval (CI) = -0.8, -0.7, P < 0.05), with China experienced a higher increase in 1990 to 1993 (annual percent change (APC) = 3.8, 95% CI = 3.2, 4.4, P < 0.05) than other regions, and the rate of decline in China from 1996 to 2002 (APC = -3.4, 95% CI = -3.6, -3.1, P < 0.05) was higher than that in other regions. UMCs experienced the largest changes in the YLL rate of AUD from 1990 to 2019 (AAPC = -1.1, 95% CI = -1.6, -0.6, P < 0.05), with a larger decline in 2004 to 2012 (APC = -6.2, 95% CI = -6.7, -5.7, P < 0.05) than other regions, and China experienced a larger increase in the rate of YLL from 1999 to 2004 (APC = 9.2, 95% CI = 8.5, 9.9, P < 0.05) than other regions. LMCs experienced the largest changes in the DALY rate of AUD from 1990 to 2019 (AAPC = -0.9, 95% CI = -1.0, -0.8, P < 0.05), with a larger decline in 2006 to 2010 (APC = -3.3, 95% CI = -3.6, -2.9, P < 0.05) than other regions, and UMCs showed a larger increase in the rate of DALY from 1990 to 1994 (APC = 4.5, 95% CI = 3.8, 5.1, P < 0.05) than other regions. CONCLUSIONS: Given the large variations in AUD burden of disease by income level, future strategies to prevent and reduce the burden should be developed and implemented based on country-specific development status.
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spelling pubmed-87100672022-01-06 Burden of alcohol use disorders in China and the regions with different income levels over the world Qu, Xiang Liu, Mi Ke, Changrong Liang, Juanjuan Du, Yuanze Yao, Liqun Li, Juanjuan Mu, Guixian Liu, Shiwei Wang, Chunping J Glob Health Research Theme 4: Health Transitions in China BACKGROUND: Alcohol use disorders (AUD) has long been one of the most disability mental disorders and a major cause of health loss. METHODS: Based on open access data from the 2019 Global Burden of Disease (GBD 2019) study, we extracted data of years lived with disability (YLD), years of life lost (YLL) and disability-adjusted life years (DALY) to describe the changes of AUD burden over the period of 1990-2019 stratified by sex in globe, high-income countries (HICs), upper-middle income countries (UMCs), lower-middle income countries (LMCs), low-income countries (LICs) and China. We used Joinpoint regression model to fit the changing trend of years. And pairwise comparison was applied to test the coincidence parallelism and judge whether the difference of the trend among different regions is statistically significant. RESULTS: LMCs experienced the largest changes in the YLD rate of AUD from 1990 to 2019 (average annual percent change (AAPC) = -0.7, 95% confidence interval (CI) = -0.8, -0.7, P < 0.05), with China experienced a higher increase in 1990 to 1993 (annual percent change (APC) = 3.8, 95% CI = 3.2, 4.4, P < 0.05) than other regions, and the rate of decline in China from 1996 to 2002 (APC = -3.4, 95% CI = -3.6, -3.1, P < 0.05) was higher than that in other regions. UMCs experienced the largest changes in the YLL rate of AUD from 1990 to 2019 (AAPC = -1.1, 95% CI = -1.6, -0.6, P < 0.05), with a larger decline in 2004 to 2012 (APC = -6.2, 95% CI = -6.7, -5.7, P < 0.05) than other regions, and China experienced a larger increase in the rate of YLL from 1999 to 2004 (APC = 9.2, 95% CI = 8.5, 9.9, P < 0.05) than other regions. LMCs experienced the largest changes in the DALY rate of AUD from 1990 to 2019 (AAPC = -0.9, 95% CI = -1.0, -0.8, P < 0.05), with a larger decline in 2006 to 2010 (APC = -3.3, 95% CI = -3.6, -2.9, P < 0.05) than other regions, and UMCs showed a larger increase in the rate of DALY from 1990 to 1994 (APC = 4.5, 95% CI = 3.8, 5.1, P < 0.05) than other regions. CONCLUSIONS: Given the large variations in AUD burden of disease by income level, future strategies to prevent and reduce the burden should be developed and implemented based on country-specific development status. International Society of Global Health 2021-12-30 /pmc/articles/PMC8710067/ /pubmed/35003718 http://dx.doi.org/10.7189/jogh.11.08011 Text en Copyright © 2021 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Research Theme 4: Health Transitions in China
Qu, Xiang
Liu, Mi
Ke, Changrong
Liang, Juanjuan
Du, Yuanze
Yao, Liqun
Li, Juanjuan
Mu, Guixian
Liu, Shiwei
Wang, Chunping
Burden of alcohol use disorders in China and the regions with different income levels over the world
title Burden of alcohol use disorders in China and the regions with different income levels over the world
title_full Burden of alcohol use disorders in China and the regions with different income levels over the world
title_fullStr Burden of alcohol use disorders in China and the regions with different income levels over the world
title_full_unstemmed Burden of alcohol use disorders in China and the regions with different income levels over the world
title_short Burden of alcohol use disorders in China and the regions with different income levels over the world
title_sort burden of alcohol use disorders in china and the regions with different income levels over the world
topic Research Theme 4: Health Transitions in China
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710067/
https://www.ncbi.nlm.nih.gov/pubmed/35003718
http://dx.doi.org/10.7189/jogh.11.08011
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