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Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

BACKGROUND: Public health is a priority for the Chinese Government. Evidence-based decision making for health at the province level in China, which is home to a fifth of the global population, is of paramount importance. This analysis uses data from the Global Burden of Diseases, Injuries, and Risk...

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Autores principales: Zhou, Maigeng, Wang, Haidong, Zeng, Xinying, Yin, Peng, Zhu, Jun, Chen, Wanqing, Li, Xiaohong, Wang, Lijun, Wang, Limin, Liu, Yunning, Liu, Jiangmei, Zhang, Mei, Qi, Jinlei, Yu, Shicheng, Afshin, Ashkan, Gakidou, Emmanuela, Glenn, Scott, Krish, Varsha Sarah, Miller-Petrie, Molly Katherine, Mountjoy-Venning, W Cliff, Mullany, Erin C, Redford, Sofia Boston, Liu, Hongyan, Naghavi, Mohsen, Hay, Simon I, Wang, Linhong, Murray, Christopher J L, Liang, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891889/
https://www.ncbi.nlm.nih.gov/pubmed/31248666
http://dx.doi.org/10.1016/S0140-6736(19)30427-1
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author Zhou, Maigeng
Wang, Haidong
Zeng, Xinying
Yin, Peng
Zhu, Jun
Chen, Wanqing
Li, Xiaohong
Wang, Lijun
Wang, Limin
Liu, Yunning
Liu, Jiangmei
Zhang, Mei
Qi, Jinlei
Yu, Shicheng
Afshin, Ashkan
Gakidou, Emmanuela
Glenn, Scott
Krish, Varsha Sarah
Miller-Petrie, Molly Katherine
Mountjoy-Venning, W Cliff
Mullany, Erin C
Redford, Sofia Boston
Liu, Hongyan
Naghavi, Mohsen
Hay, Simon I
Wang, Linhong
Murray, Christopher J L
Liang, Xiaofeng
author_facet Zhou, Maigeng
Wang, Haidong
Zeng, Xinying
Yin, Peng
Zhu, Jun
Chen, Wanqing
Li, Xiaohong
Wang, Lijun
Wang, Limin
Liu, Yunning
Liu, Jiangmei
Zhang, Mei
Qi, Jinlei
Yu, Shicheng
Afshin, Ashkan
Gakidou, Emmanuela
Glenn, Scott
Krish, Varsha Sarah
Miller-Petrie, Molly Katherine
Mountjoy-Venning, W Cliff
Mullany, Erin C
Redford, Sofia Boston
Liu, Hongyan
Naghavi, Mohsen
Hay, Simon I
Wang, Linhong
Murray, Christopher J L
Liang, Xiaofeng
author_sort Zhou, Maigeng
collection PubMed
description BACKGROUND: Public health is a priority for the Chinese Government. Evidence-based decision making for health at the province level in China, which is home to a fifth of the global population, is of paramount importance. This analysis uses data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to help inform decision making and monitor progress on health at the province level. METHODS: We used the methods in GBD 2017 to analyse health patterns in the 34 province-level administrative units in China from 1990 to 2017. We estimated all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), summary exposure values (SEVs), and attributable risk. We compared the observed results with expected values estimated based on the Socio-demographic Index (SDI). FINDINGS: Stroke and ischaemic heart disease were the leading causes of death and DALYs at the national level in China in 2017. Age-standardised DALYs per 100 000 population decreased by 33·1% (95% uncertainty interval [UI] 29·8 to 37·4) for stroke and increased by 4·6% (–3·3 to 10·7) for ischaemic heart disease from 1990 to 2017. Age-standardised stroke, ischaemic heart disease, lung cancer, chronic obstructive pulmonary disease, and liver cancer were the five leading causes of YLLs in 2017. Musculoskeletal disorders, mental health disorders, and sense organ diseases were the three leading causes of YLDs in 2017, and high systolic blood pressure, smoking, high-sodium diet, and ambient particulate matter pollution were among the leading four risk factors contributing to deaths and DALYs. All provinces had higher than expected DALYs per 100 000 population for liver cancer, with the observed to expected ratio ranging from 2·04 to 6·88. The all-cause age-standardised DALYs per 100 000 population were lower than expected in all provinces in 2017, and among the top 20 level 3 causes were lower than expected for ischaemic heart disease, Alzheimer's disease, headache disorder, and low back pain. The largest percentage change at the national level in age-standardised SEVs among the top ten leading risk factors was in high body-mass index (185%, 95% UI 113·1 to 247·7]), followed by ambient particulate matter pollution (88·5%, 66·4 to 116·4). INTERPRETATION: China has made substantial progress in reducing the burden of many diseases and disabilities. Strategies targeting chronic diseases, particularly in the elderly, should be prioritised in the expanding Chinese health-care system. FUNDING: China National Key Research and Development Program and Bill & Melinda Gates Foundation.
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spelling pubmed-68918892019-12-16 Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 Zhou, Maigeng Wang, Haidong Zeng, Xinying Yin, Peng Zhu, Jun Chen, Wanqing Li, Xiaohong Wang, Lijun Wang, Limin Liu, Yunning Liu, Jiangmei Zhang, Mei Qi, Jinlei Yu, Shicheng Afshin, Ashkan Gakidou, Emmanuela Glenn, Scott Krish, Varsha Sarah Miller-Petrie, Molly Katherine Mountjoy-Venning, W Cliff Mullany, Erin C Redford, Sofia Boston Liu, Hongyan Naghavi, Mohsen Hay, Simon I Wang, Linhong Murray, Christopher J L Liang, Xiaofeng Lancet Article BACKGROUND: Public health is a priority for the Chinese Government. Evidence-based decision making for health at the province level in China, which is home to a fifth of the global population, is of paramount importance. This analysis uses data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to help inform decision making and monitor progress on health at the province level. METHODS: We used the methods in GBD 2017 to analyse health patterns in the 34 province-level administrative units in China from 1990 to 2017. We estimated all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), summary exposure values (SEVs), and attributable risk. We compared the observed results with expected values estimated based on the Socio-demographic Index (SDI). FINDINGS: Stroke and ischaemic heart disease were the leading causes of death and DALYs at the national level in China in 2017. Age-standardised DALYs per 100 000 population decreased by 33·1% (95% uncertainty interval [UI] 29·8 to 37·4) for stroke and increased by 4·6% (–3·3 to 10·7) for ischaemic heart disease from 1990 to 2017. Age-standardised stroke, ischaemic heart disease, lung cancer, chronic obstructive pulmonary disease, and liver cancer were the five leading causes of YLLs in 2017. Musculoskeletal disorders, mental health disorders, and sense organ diseases were the three leading causes of YLDs in 2017, and high systolic blood pressure, smoking, high-sodium diet, and ambient particulate matter pollution were among the leading four risk factors contributing to deaths and DALYs. All provinces had higher than expected DALYs per 100 000 population for liver cancer, with the observed to expected ratio ranging from 2·04 to 6·88. The all-cause age-standardised DALYs per 100 000 population were lower than expected in all provinces in 2017, and among the top 20 level 3 causes were lower than expected for ischaemic heart disease, Alzheimer's disease, headache disorder, and low back pain. The largest percentage change at the national level in age-standardised SEVs among the top ten leading risk factors was in high body-mass index (185%, 95% UI 113·1 to 247·7]), followed by ambient particulate matter pollution (88·5%, 66·4 to 116·4). INTERPRETATION: China has made substantial progress in reducing the burden of many diseases and disabilities. Strategies targeting chronic diseases, particularly in the elderly, should be prioritised in the expanding Chinese health-care system. FUNDING: China National Key Research and Development Program and Bill & Melinda Gates Foundation. Elsevier 2019-09-28 /pmc/articles/PMC6891889/ /pubmed/31248666 http://dx.doi.org/10.1016/S0140-6736(19)30427-1 Text en © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Maigeng
Wang, Haidong
Zeng, Xinying
Yin, Peng
Zhu, Jun
Chen, Wanqing
Li, Xiaohong
Wang, Lijun
Wang, Limin
Liu, Yunning
Liu, Jiangmei
Zhang, Mei
Qi, Jinlei
Yu, Shicheng
Afshin, Ashkan
Gakidou, Emmanuela
Glenn, Scott
Krish, Varsha Sarah
Miller-Petrie, Molly Katherine
Mountjoy-Venning, W Cliff
Mullany, Erin C
Redford, Sofia Boston
Liu, Hongyan
Naghavi, Mohsen
Hay, Simon I
Wang, Linhong
Murray, Christopher J L
Liang, Xiaofeng
Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
title Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
title_full Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
title_fullStr Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
title_full_unstemmed Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
title_short Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
title_sort mortality, morbidity, and risk factors in china and its provinces, 1990–2017: a systematic analysis for the global burden of disease study 2017
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891889/
https://www.ncbi.nlm.nih.gov/pubmed/31248666
http://dx.doi.org/10.1016/S0140-6736(19)30427-1
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