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Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017

OBJECTIVE: To explore possible reasons for the difference in chronic obstructive pulmonary disease (COPD) incidence/mortality rates between China and high socio-demographic index (SDI) countries. DESIGN: A cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017. P...

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Autores principales: Yang, Zhao, Kwok, Man Ki, Schooling, Catherine Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943480/
https://www.ncbi.nlm.nih.gov/pubmed/35321891
http://dx.doi.org/10.1136/bmjopen-2021-050080
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author Yang, Zhao
Kwok, Man Ki
Schooling, Catherine Mary
author_facet Yang, Zhao
Kwok, Man Ki
Schooling, Catherine Mary
author_sort Yang, Zhao
collection PubMed
description OBJECTIVE: To explore possible reasons for the difference in chronic obstructive pulmonary disease (COPD) incidence/mortality rates between China and high socio-demographic index (SDI) countries. DESIGN: A cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017. PARTICIPANTS: Data were publicly available and de-identified, and individuals were not involved. MEASUREMENT AND METHODS: We extracted the age-standardised and age-specific incidence/mortality rates, and risk factors attributed to COPD in China and high SDI countries from the Global Burden of Disease Study 2017. We first described differences in COPD patterns (ie, incidence and mortality rates) in China and high SDI countries briefly, and then explored possible reasons for driving such differences by comparing rankings for six well-established COPD risk factors and estimating change points in age-specific incidence and mortality rates for COPD and several commonly encountered competing risks using segmented regression models. RESULTS: Differences in age-standardised incidence and mortality rates for COPD between China and high SDI countries converged during 1990–2017 but still differed, particularly for mortality rates. Smoking was the leading attributable risk factor followed by ambient air pollution, with higher rankings for occupational risks in China than in high SDI countries. The change point was ~80 years for age-specific COPD mortality rate in both China and high SDI countries. However, the change point for COPD incidence was 5-year later in China (~65 years) than in high SDI countries (~60 years). The change points for mortality rates due to competing risks (eg, ischaemic heart disease) also varied between settings. CONCLUSION: Differences in risk factors largely shaped the differences in COPD patterns between China and high SDI countries. Varying patterns of mortality due to competing risks might also contribute to the discrepancy in COPD mortality rates, by affecting the survival of the underlying population.
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spelling pubmed-89434802022-03-24 Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017 Yang, Zhao Kwok, Man Ki Schooling, Catherine Mary BMJ Open Public Health OBJECTIVE: To explore possible reasons for the difference in chronic obstructive pulmonary disease (COPD) incidence/mortality rates between China and high socio-demographic index (SDI) countries. DESIGN: A cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017. PARTICIPANTS: Data were publicly available and de-identified, and individuals were not involved. MEASUREMENT AND METHODS: We extracted the age-standardised and age-specific incidence/mortality rates, and risk factors attributed to COPD in China and high SDI countries from the Global Burden of Disease Study 2017. We first described differences in COPD patterns (ie, incidence and mortality rates) in China and high SDI countries briefly, and then explored possible reasons for driving such differences by comparing rankings for six well-established COPD risk factors and estimating change points in age-specific incidence and mortality rates for COPD and several commonly encountered competing risks using segmented regression models. RESULTS: Differences in age-standardised incidence and mortality rates for COPD between China and high SDI countries converged during 1990–2017 but still differed, particularly for mortality rates. Smoking was the leading attributable risk factor followed by ambient air pollution, with higher rankings for occupational risks in China than in high SDI countries. The change point was ~80 years for age-specific COPD mortality rate in both China and high SDI countries. However, the change point for COPD incidence was 5-year later in China (~65 years) than in high SDI countries (~60 years). The change points for mortality rates due to competing risks (eg, ischaemic heart disease) also varied between settings. CONCLUSION: Differences in risk factors largely shaped the differences in COPD patterns between China and high SDI countries. Varying patterns of mortality due to competing risks might also contribute to the discrepancy in COPD mortality rates, by affecting the survival of the underlying population. BMJ Publishing Group 2022-03-23 /pmc/articles/PMC8943480/ /pubmed/35321891 http://dx.doi.org/10.1136/bmjopen-2021-050080 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Yang, Zhao
Kwok, Man Ki
Schooling, Catherine Mary
Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017
title Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017
title_full Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017
title_fullStr Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017
title_full_unstemmed Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017
title_short Do deaths from competing risks influence COPD patterns in China and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the Global Burden of Disease Study 2017
title_sort do deaths from competing risks influence copd patterns in china and high socio-demographic index countries?: a cross-sectional analysis of summary statistics from the global burden of disease study 2017
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943480/
https://www.ncbi.nlm.nih.gov/pubmed/35321891
http://dx.doi.org/10.1136/bmjopen-2021-050080
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