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Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories

BACKGROUND: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality globally. The extent to which CVD affects the population’s health varies across countries. Moreover, quantitative estimates of the trend of inequalities in CVD burden remain unclear. The objective of our study was...

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Autores principales: Deng, Penghong, Fu, Yu, Chen, Mingsheng, Wang, Dong, Si, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463977/
https://www.ncbi.nlm.nih.gov/pubmed/37620895
http://dx.doi.org/10.1186/s12939-023-01988-2
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author Deng, Penghong
Fu, Yu
Chen, Mingsheng
Wang, Dong
Si, Lei
author_facet Deng, Penghong
Fu, Yu
Chen, Mingsheng
Wang, Dong
Si, Lei
author_sort Deng, Penghong
collection PubMed
description BACKGROUND: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality globally. The extent to which CVD affects the population’s health varies across countries. Moreover, quantitative estimates of the trend of inequalities in CVD burden remain unclear. The objective of our study was to assess the socioeconomic inequalities and temporal trends of CVD burden across 186 countries and territories from 2000 to 2019. METHODS: We extracted data from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019, and conducted a cross-national time-series analysis. Age-standardized disability-adjusted life-year (DALY) rates were used to measure the burden of CVDs, and gross national income (GNI) per capita was used to approximate the socioeconomic development. Concentration curves and concentration indexes (CIs) were generated to evaluate the cross-national socioeconomic inequality of CVD burden. A joinpoint regression analysis was used to quantify the changes in trends in socioeconomic inequality of CVD burden from 2000 to 2019. RESULTS: The age-standardized DALY rates of CVDs decreased in 170 (91%) of 186 countries from 2000 to 2019. The concentration curves of the age-standardized DALY rates of CVDs were above the equality line from 2000 to 2019, indicating a disproportional distribution of CVD burden in low-income countries. The CIs declined from − 0.091 (95% CI: −0.128 to − 0.054) in 2000 to − 0.151 (95% CI: −0.190 to − 0.112) in 2019, indicating worsened pro-poor inequality distributions of CVD burden worldwide. A four-phase trend of changes in the CIs of age-standardized DALY rates for CVD was observed from 2000 to 2019, with an average annual percentage change (AAPC) of − 2.7% (95% CI: −3.0 to − 2.4). Decreasing trends in CIs were observed in all CVD subcategories but endocarditis, with AAPC ranging from − 6.6% (95% CI: −7.3 to − 5.9) for ischemic heart disease to − 0.2% (95% CI: −0.4 to − 0.1) for hypertensive heart disease. CONCLUSIONS: Globally, the burden of CVD has decreased in more than 90% of countries over the past two decades, accompanied by an increasing trend of cross-country inequalities. Moreover, the overall burden of CVD continues to fall primarily on low-income countries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-01988-2.
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spelling pubmed-104639772023-08-30 Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories Deng, Penghong Fu, Yu Chen, Mingsheng Wang, Dong Si, Lei Int J Equity Health Research BACKGROUND: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality globally. The extent to which CVD affects the population’s health varies across countries. Moreover, quantitative estimates of the trend of inequalities in CVD burden remain unclear. The objective of our study was to assess the socioeconomic inequalities and temporal trends of CVD burden across 186 countries and territories from 2000 to 2019. METHODS: We extracted data from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019, and conducted a cross-national time-series analysis. Age-standardized disability-adjusted life-year (DALY) rates were used to measure the burden of CVDs, and gross national income (GNI) per capita was used to approximate the socioeconomic development. Concentration curves and concentration indexes (CIs) were generated to evaluate the cross-national socioeconomic inequality of CVD burden. A joinpoint regression analysis was used to quantify the changes in trends in socioeconomic inequality of CVD burden from 2000 to 2019. RESULTS: The age-standardized DALY rates of CVDs decreased in 170 (91%) of 186 countries from 2000 to 2019. The concentration curves of the age-standardized DALY rates of CVDs were above the equality line from 2000 to 2019, indicating a disproportional distribution of CVD burden in low-income countries. The CIs declined from − 0.091 (95% CI: −0.128 to − 0.054) in 2000 to − 0.151 (95% CI: −0.190 to − 0.112) in 2019, indicating worsened pro-poor inequality distributions of CVD burden worldwide. A four-phase trend of changes in the CIs of age-standardized DALY rates for CVD was observed from 2000 to 2019, with an average annual percentage change (AAPC) of − 2.7% (95% CI: −3.0 to − 2.4). Decreasing trends in CIs were observed in all CVD subcategories but endocarditis, with AAPC ranging from − 6.6% (95% CI: −7.3 to − 5.9) for ischemic heart disease to − 0.2% (95% CI: −0.4 to − 0.1) for hypertensive heart disease. CONCLUSIONS: Globally, the burden of CVD has decreased in more than 90% of countries over the past two decades, accompanied by an increasing trend of cross-country inequalities. Moreover, the overall burden of CVD continues to fall primarily on low-income countries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-01988-2. BioMed Central 2023-08-24 /pmc/articles/PMC10463977/ /pubmed/37620895 http://dx.doi.org/10.1186/s12939-023-01988-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Deng, Penghong
Fu, Yu
Chen, Mingsheng
Wang, Dong
Si, Lei
Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
title Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
title_full Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
title_fullStr Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
title_full_unstemmed Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
title_short Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
title_sort temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463977/
https://www.ncbi.nlm.nih.gov/pubmed/37620895
http://dx.doi.org/10.1186/s12939-023-01988-2
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