Cargando…

Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level

Aim of Study: Four hundred million people live at high altitude worldwide. Prevalence and risk factors for COPD in these populations are poorly documented. We examined the prevalence and risk factors for COPD in residents living at an altitude of 2,100–4,700 m. Methods: We performed a cross-sectiona...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Yanfei, Xing, Zhenzhen, Shan, Guangliang, Janssens, Jean-Paul, Sun, Tieying, Chai, Di, Liu, Weiming, Wang, Yuxia, Ma, Yali, Tong, Yaqi, Huang, Yilin, Cao, Yang, Wang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744817/
https://www.ncbi.nlm.nih.gov/pubmed/33344472
http://dx.doi.org/10.3389/fmed.2020.581763
_version_ 1783624504515231744
author Guo, Yanfei
Xing, Zhenzhen
Shan, Guangliang
Janssens, Jean-Paul
Sun, Tieying
Chai, Di
Liu, Weiming
Wang, Yuxia
Ma, Yali
Tong, Yaqi
Huang, Yilin
Cao, Yang
Wang, Chen
author_facet Guo, Yanfei
Xing, Zhenzhen
Shan, Guangliang
Janssens, Jean-Paul
Sun, Tieying
Chai, Di
Liu, Weiming
Wang, Yuxia
Ma, Yali
Tong, Yaqi
Huang, Yilin
Cao, Yang
Wang, Chen
author_sort Guo, Yanfei
collection PubMed
description Aim of Study: Four hundred million people live at high altitude worldwide. Prevalence and risk factors for COPD in these populations are poorly documented. We examined the prevalence and risk factors for COPD in residents living at an altitude of 2,100–4,700 m. Methods: We performed a cross-sectional survey in Xinjiang and Tibet autonomous region. A multistage stratified sampling procedure was used to select a representative population aged 15 years or older from eight high altitude regions. All participants underwent pre- and post-bronchodilator measurement of forced expiratory volumes. COPD was diagnosed according to 2019 Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. Results: Between June, 2015 and August 2016, 4,967 subjects were included. Median age was 38.0 years (range: 15–91 years; inter-quartile range: 28–49 years); 51.4% participants were female. Overall prevalence of spirometry-defined COPD was 8.2% (95% CI 7.4–8.9%): 9.3% in male (95% CI 8.2–10.4%), and 7.1% in female (95% CI 6.1–8.2%). By multivariable logistic regression analysis, COPD was significantly associated with being aged ≥40 years (odds ratio: 2.25 [95% CI 1.72–2.95], P < 0.0001), exposure to household air pollution (OR: 1.34 [95% CI 1.01–1.79], P = 0.043), and a history of tuberculosis (OR: 1.79 [95% CI 1.23–2.61], P = 0.030), while living at a higher altitude (OR: 0.45 [95% CI 0.33–0.61], P < 0.0001) and having a higher educational level (OR: 0.64 [95% CI 0.43–0.95], P = 0.025) were associated with a lower prevalence of COPD. Conclusions: Our results show that the spirometry-defined COPD is a considerable health problem for residents living at high altitudes and COPD prevalence was inversely correlated with altitude. Preventing exposure to household air pollution and reducing the incidence of tuberculosis should be public health priorities for high altitude residents.
format Online
Article
Text
id pubmed-7744817
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-77448172020-12-18 Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level Guo, Yanfei Xing, Zhenzhen Shan, Guangliang Janssens, Jean-Paul Sun, Tieying Chai, Di Liu, Weiming Wang, Yuxia Ma, Yali Tong, Yaqi Huang, Yilin Cao, Yang Wang, Chen Front Med (Lausanne) Medicine Aim of Study: Four hundred million people live at high altitude worldwide. Prevalence and risk factors for COPD in these populations are poorly documented. We examined the prevalence and risk factors for COPD in residents living at an altitude of 2,100–4,700 m. Methods: We performed a cross-sectional survey in Xinjiang and Tibet autonomous region. A multistage stratified sampling procedure was used to select a representative population aged 15 years or older from eight high altitude regions. All participants underwent pre- and post-bronchodilator measurement of forced expiratory volumes. COPD was diagnosed according to 2019 Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. Results: Between June, 2015 and August 2016, 4,967 subjects were included. Median age was 38.0 years (range: 15–91 years; inter-quartile range: 28–49 years); 51.4% participants were female. Overall prevalence of spirometry-defined COPD was 8.2% (95% CI 7.4–8.9%): 9.3% in male (95% CI 8.2–10.4%), and 7.1% in female (95% CI 6.1–8.2%). By multivariable logistic regression analysis, COPD was significantly associated with being aged ≥40 years (odds ratio: 2.25 [95% CI 1.72–2.95], P < 0.0001), exposure to household air pollution (OR: 1.34 [95% CI 1.01–1.79], P = 0.043), and a history of tuberculosis (OR: 1.79 [95% CI 1.23–2.61], P = 0.030), while living at a higher altitude (OR: 0.45 [95% CI 0.33–0.61], P < 0.0001) and having a higher educational level (OR: 0.64 [95% CI 0.43–0.95], P = 0.025) were associated with a lower prevalence of COPD. Conclusions: Our results show that the spirometry-defined COPD is a considerable health problem for residents living at high altitudes and COPD prevalence was inversely correlated with altitude. Preventing exposure to household air pollution and reducing the incidence of tuberculosis should be public health priorities for high altitude residents. Frontiers Media S.A. 2020-12-03 /pmc/articles/PMC7744817/ /pubmed/33344472 http://dx.doi.org/10.3389/fmed.2020.581763 Text en Copyright © 2020 Guo, Xing, Shan, Janssens, Sun, Chai, Liu, Wang, Ma, Tong, Huang, Cao and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Guo, Yanfei
Xing, Zhenzhen
Shan, Guangliang
Janssens, Jean-Paul
Sun, Tieying
Chai, Di
Liu, Weiming
Wang, Yuxia
Ma, Yali
Tong, Yaqi
Huang, Yilin
Cao, Yang
Wang, Chen
Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level
title Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level
title_full Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level
title_fullStr Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level
title_full_unstemmed Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level
title_short Prevalence and Risk Factors for COPD at High Altitude: A Large Cross-Sectional Survey of Subjects Living Between 2,100–4,700 m Above Sea Level
title_sort prevalence and risk factors for copd at high altitude: a large cross-sectional survey of subjects living between 2,100–4,700 m above sea level
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744817/
https://www.ncbi.nlm.nih.gov/pubmed/33344472
http://dx.doi.org/10.3389/fmed.2020.581763
work_keys_str_mv AT guoyanfei prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT xingzhenzhen prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT shanguangliang prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT janssensjeanpaul prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT suntieying prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT chaidi prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT liuweiming prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT wangyuxia prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT mayali prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT tongyaqi prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT huangyilin prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT caoyang prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel
AT wangchen prevalenceandriskfactorsforcopdathighaltitudealargecrosssectionalsurveyofsubjectslivingbetween21004700mabovesealevel