The Burden and Risk Factors of Chronic Obstructive Pulmonary Disease (COPD) in Asia and Its Countries from 1990 to 2021: A Systematic Analysis Based on the 2021 Global Burden of Disease Study

The Burden and Risk Factors of Chronic Obstructive Pulmonary Disease (COPD) in Asia and Its Countries from 1990 to 2021: A Systematic Analysis Based on the 2021 Global Burden of Disease Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Burden and Risk Factors of Chronic Obstructive Pulmonary Disease (COPD) in Asia and Its Countries from 1990 to 2021: A Systematic Analysis Based on the 2021 Global Burden of Disease Study Zeyuan Wu, Xin Zhang, Pingxi Zhang, Yaling He, Yalin Ye, Yun Pan, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6862863/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Chronic Obstructive Pulmonary Disease (COPD) is a progressive and irreversible lung disease. According to the World Health Organization (WHO), COPD has become one of the leading causes of death globally. This study provides a comprehensive analysis of the COPD burden in the Asia region. Methods This study utilizes data on incidence, mortality, and Disability-Adjusted Life Years (DALY) from the 2021 Global Burden of Disease Study (GBD 2021), combined with the Socio-Demographic Index (SDI), to comprehensively assess the burden of COPD. The study also calculates the Annual Percentage Change (APC) and the Average Annual Percentage Change (AAPC), along with their 95% confidence intervals (95% CI). In addition, the main risk factors for COPD were evaluated Results In 2021, the number of COPD incidences in Asia was 10,512,843 cases (95% UI: 9,610,006–11,432,970), with an age-standardized incidence rate of 210.79 per 100,000 persons (95% UI: 193.52–227.94). The number of deaths was 2,885,059 cases (95% UI: 2,571,267–3,218,689), with an age-standardized death rate of 64.10 per 100,000 persons (95% UI: 56.74–71.66). The number of Disability-Adjusted Life Years (DALYs) was 60,507,100 cases (95% UI: 55,319,463–66,518,282), with a disability-adjusted life years rate of 1253.15 per 100,000 persons (95% UI: 1148.26–1376.29). At the regional level, South Asia exhibited the highest COPD burden among all regions in Asia. Furthermore, particulate matter pollution (PM), smoking, secondhand smoke, and occupational exposure to particulate matter, gases, and fumes (OP-MGF) were identified as the main risk factors for COPD in Asia. Conclusions This study reveals the burden of Chronic Obstructive Pulmonary Disease (COPD) in the Asia region, with particulate matter pollution, smoking, and occupational exposure identified as the primary risk factors. Given the significant disease burden observed in the region, future public health interventions should focus on targeted measures to reduce the COPD burden and improve overall health outcomes. Chronic Obstructive Pulmonary Disease (COPD) disease burden Risk factor Socio-demographic Index(SDI) Joinpoint regression Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 1. Introduction Chronic Obstructive Pulmonary Disease (COPD) is one of the most burdensome chronic diseases globally and has become the third leading cause of death worldwide [1]. The major risk factors for COPD include smoking, air pollution, and extreme environmental conditions, and its occurrence is closely linked to unhealthy lifestyles [2]. With the aging population and the continuous deterioration of environmental pollution, COPD poses a severe public health threat to regions and countries, creating significant challenges for healthcare systems worldwide [3, 4]. The Global Burden of Disease (GBD) study, led by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington, is a global health research initiative designed to systematically quantify the impact of diseases, injuries, and risk factors on population health across countries, regions, and globally[5, 6]. The data and analysis from GBD 2021 are of critical importance in the global health field, providing scientific evidence for health advocates, government agencies, and researchers to assess the prioritization of health issues, develop intervention strategies, and drive improvements in healthcare systems and health equity [7]. However, existing studies have seldom delved deeply into the long-term trends of COPD disease burden, the specific contributions of risk factors, and the regional differences. Using GBD 2021 data, this study analyzes the COPD burden from 1990 to 2021 across different regions, age groups, genders, and Socio-Demographic Index (SDI) levels, with a particular focus on age-standardized rates (ASRs) and Average Annual Percentage Change (AAPC) in Asia and its countries. Additionally, we explore the primary risk factors for COPD burden and forecast the disease's epidemiological trends. These analyses contribute to a more comprehensive understanding of global COPD trends and their dynamic changes. This study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines (http://www.prisma-statement.org/). 2. Methods Data source The Global Burden of Disease (GBD) database (http://ghdx.healthdata.org/gbd-results-tool), developed through collaboration among global health research institutions, is a comprehensive health data platform designed to assess the impact of diseases, injuries, and their risk factors on health across various regions, countries, and globally [8, 9]. This database encompasses data across multiple dimensions, including mortality, incidence, Disability-Adjusted Life Years (DALYs), and risk factors, among others [7]. Trend Analysis: Joinpoint Regression Model In this study, to analyze the temporal trends of the Chronic Obstructive Pulmonary Disease (COPD) disease burden from 1990 to 2021, we employed the Joinpoint regression model. This model effectively identifies turning points in the data and estimates the rate of change for each time period [7]. Specifically, we used the Annual Percentage Change (APC) to measure the annual rate of change in disease burden for each time period, with the following calculation formula: To ensure the reliability of the results, we also calculated the 95% confidence intervals (95% CI) for each change. Using these methods, this study was able to scientifically reveal the trend changes in the COPD disease burden across different time periods [10]. Socio-demographic index In this study, we selected countries with different Socio-Demographic Index (SDI) levels for detailed analysis. SDI is a composite index that reflects the socio-economic development level of a region, primarily encompassing aspects such as income, human capital (including education level and life expectancy), and other factors[11, 12]. By comparing the COPD disease burden across regions with varying SDI levels, we aim to reveal the impact of socio-economic development on the COPD burden. Statistical Analysis In terms of statistical software and tools, the Joinpoint regression analysis was conducted using the Joinpoint Regression Program (version 5.30), while data preprocessing and result visualization were performed using R (version 4.3.2). These tools ensured the accuracy and reproducibility of the data analysis. Joinpoint is a statistical software used to analyze trends, processing trend data using a joinpoint model to fit the simplest possible joinpoint model allowed by the data. Users can set the minimum and maximum number of joinpoints, effectively capturing changes in the data and helping to identify significant change points in different time periods [13]. 3. Results Global burden analysis from 1990 to 2021 In 2021, the global incidence of COPD was 16,895,445 cases (95% UI: 15,471,347–18,335,691); the age-standardized incidence rate (ASIR) was 197.37 per 100,000 persons (95% UI: 181.65–213.42). From 1990 to 2021, the ASIR decreased by 0.02 per 100,000 persons (95% UI: -0.05 to -0.01) (Supplementary Table S1). The number of deaths was 3,719,937 cases (95% UI: 3,347,912–4,084,218); the age-standardized death rate (ASMR) was 45.22 per 100,000 persons (95% UI: 40.61–49.70). From 1990 to 2021, the ASMR decreased by 0.37 per 100,000 persons (95% UI: -0.43 to -0.28) (Supplementary Table S1). The number of Disability-Adjusted Life Years (DALYs) was 79,779,695 cases (95% UI: 74,026,373–86,011,406); the DALY rate was 940.66 per 100,000 persons (95% UI: 871.48–1014.59). From 1990 to 2021, the AS-DALYs decreased by -0.37 per 100,000 persons (95% UI: -0.42 to -0.29) (Supplementary Table S1). Table 1: Incident cases, Death cases and DALYs for COPD in 2021 for sexes and rate change of age-standardised rates by Asia region Burden of Disease (GBD). Correlation Analysis of Socio-Demographic Index (SDI) In 2021, a significant negative correlation was observed between the age-standardized incidence rate (ASIR), mortality rate (ASMR), and Disability-Adjusted Life Years (AS-DALYs) of COPD and the Socio-Demographic Index (SDI) across 48 Asian countries with different SDI levels (ASIR: R = -0.53, P < 0.001; ASMR: R = -0.66, P < 0.001; AS-DALYs: R = -0.69, P < 0.001) (Supplementary Fig S2). (R represents the correlation coefficient, and P < 0.05 indicates statistical significance). An analysis of the COPD burden across 22 global regions from 1990 to 2021, categorized by SDI, showed a positive correlation between the ASIR and SDI (ASIR: R = 0.022, P = 0.545) (Fig. 2), while the ASMR and AS-DALYs exhibited significant negative correlations with SDI (see Supplementary Fig S3). Specifically, in the Asian region, East Asia and South Asia had higher ASMR and AS-DALYs than expected based on their SDI levels. Even at higher SDI levels, the COPD burden in East Asia and South Asia remained significantly higher than expected (Supplementary Fig S3), indicating that the COPD burden in these regions is particularly severe. Risk Factor Analysis In 2021, the burden of Chronic Obstructive Pulmonary Disease (COPD) in global regions due to seven different risk factors showed significant variation, with particulate matter pollution (PM) ranked as the leading risk factor, followed by smoking, occupational particulate matter, gases, and fumes (OP-MGF), ambient ozone pollution, secondhand smoke, low temperature, and high temperature (Fig. 3 and Supplementary Table 1 S2). Among these risk factors, the COPD burden in Asia is particularly severe, prompting further analysis of the region. Specifically, South Asia had the highest COPD death rates globally due to ambient ozone pollution, high temperature, and occupational particulate matter, gases, and fumes (OP-MGF), with rates of 22.49 per 100,000 persons (95% UI: 4.91–38.06), 2.01 per 100,000 persons (95% UI: -0.22–5.04), and 15.60 per 100,000 persons (95% UI: 12.52–19.44), respectively (Fig. 3 and Supplementary Table 1 S2). East Asia exhibited the most severe COPD death rates globally due to smoking and low temperature, with rates of 30.56 per 100,000 persons (95% UI: 22.68–38.48) and 8.30 per 100,000 persons (95% UI: 6.70–10.13), respectively (Fig. 3 and Supplementary Table 1 S2). The impact of different risk factors on Disability-Adjusted Life Years (DALYs) in Asia is also noteworthy. In 2021, South Asia experienced the highest global COPD DALY burden due to smoking, occupational particulate matter, gases, and fumes (OP-MGF), high temperature, and ambient ozone pollution, with values of 591.70 per 100,000 persons (95% UI: 464.04–727.28), 320.26 per 100,000 persons (95% UI: 264.02–390.03), 34.97 per 100,000 persons (95% UI: -4.31–88.98), and 388.54 per 100,000 persons (95% UI: 84.32–655.80), respectively (Supplementary Fig. S4 and Supplementary Table S2). In East Asia, the COPD DALY burden due to low temperature was the highest globally, with a rate of 118.63 per 100,000 persons (95% UI: 95.67–144.46) (Supplementary Fig. S4 and Supplementary Table S2).These disparities reflect the unique characteristics of risk factor exposure in the Asian region, suggesting that targeted intervention strategies addressing these risk factors are necessary to effectively reduce the COPD disease burden. Asia level We analyzed the age-standardized contribution proportions of different risk factors to the mortality and Disability-Adjusted Life Years (DALYs) rates for Chronic Obstructive Pulmonary Disease (COPD) in the Asia region. The results showed that particulate matter pollution, smoking, and secondhand smoke were the primary risk factors for the COPD disease burden, accounting for the largest proportion, indicating that these factors play a crucial role in the onset and progression of COPD (Fig. 4A-B). In contrast, the contribution of risk factors such as occupational exposure, ozone pollution, and extreme temperatures (both high and low) was relatively lower, with minimal changes between 1990 and 2020 (Fig. 4A-B). Although these factors contributed less, they may still have significant localized effects on specific populations or regions. In 2021, age and sex analysis revealed significant differences in the COPD burden across the Asia region. The incidence rate increased after the age of 40, while the mortality rate increased after the age of 55, with the disease burden generally being higher in males than females (Fig. 5A-C). In 2021, South Asia had the highest age-standardized incidence rate of 258.26 per 100,000 persons (95% UI: 242.49–273.76), age-standardized death rate of 101.63 per 100,000 persons (95% UI: 90.55–114.34), and age-standardized DALY rate of 2049.22 per 100,000 persons (95% UI: 1862.71–2268.73) among all regions in Asia (Table 1 and Supplementary Table S3). From 1990 to 2021, East Asia experienced the largest decreases in the age-standardized incidence rate (ASIR) by 0.20 per 100,000 persons (95% UI: -0.25 to -0.17), age-standardized mortality rate (ASMR) by 0.68 per 100,000 persons (95% UI: -0.74 to -0.60), and age-standardized DALYs (AS-DALYs) by 0.68 per 100,000 persons (95% UI: -0.74 to -0.60), making it the region with the largest decline in all three indicators in Asia (Table 1 and Supplementary Table S4). At the national level, Nepal had the highest age-standardized incidence rate (ASIR) of 310.58 per 100,000 persons (95% UI: 300.58–319.70), age-standardized death rate (ASMR) of 146.13 per 100,000 persons (95% UI: 116.66–182.46), and age-standardized Disability-Adjusted Life Years (AS-DALYs) rate of 2836.01 per 100,000 persons (95% UI: 2275.30–3485.04) among all countries in Asia. Following Nepal, North Korea ranked second, and India ranked third (Supplementary Tables S5-S7). From 1990 to 2021, Singapore experienced a significant decline in the age-standardized incidence rate (ASIR) by -0.37 per 100,000 persons (95% UI: -0.45 to -0.27), age-standardized mortality rate (ASMR) by -0.85 per 100,000 persons (95% UI: -0.87 to -0.84), and age-standardized DALYs (AS-DALYs) by -0.81 per 100,000 persons (95% UI: -0.83 to -0.79), making it the country with the most significant decrease in all three indicators in Asia. This reflects Singapore's notable achievements in COPD prevention and treatment (Supplementary Table S8). Trends from 1990 to 2021 From 1990 to 2021, the COPD burden in South Asia was the highest in the Asia region, with the age-standardized incidence rate (ASIR) ranking first across all gender groups (male, female, and overall) (Table 1 and Fig. 6A). This phenomenon further highlights the severity and complexity of addressing the COPD challenge in this region. In contrast, East Asia exhibited a significant downward trend in COPD mortality rate (ASMR) and Disability-Adjusted Life Years (AS-DALYs), with the most pronounced declines observed across all gender groups, indicating significant progress in public health policies, treatment, and control measures in the region (Table 1 and Fig. 6B-C). To further explore the impact of gender and age on the COPD burden in Asia, this study analyzed the distribution of COPD-related indicators by gender and age group from 1990 to 2021. The analysis covered age groups starting from 20 years, with 5-year intervals, and systematically examined the incidence rate, mortality rate, and Disability-Adjusted Life Years for each age group. The results showed that, apart from the increase in incidence rate, mortality rate, and DALYs in the "all ages" group, the indicators for other age groups exhibited varying degrees of decline. Additionally, the disease burden was consistently higher in males compared to females across all age groups (Supplementary Fig. S5-S7). Joinpoint Regression Analysis We conducted a Joinpoint regression analysis of the COPD disease burden in the Asia region to reveal its temporal trends. From 1990 to 2021, the major COPD indicators in Asia showed an overall downward trend, but the rate of decline and significant time periods varied. The age-standardized incidence rate (ASIR) showed a downward trend (ASIR, AAPC = -0.338, 95% CI: -0.362 to -0.314, P < 0.001) (Supplementary Table 1 S9). The period from 2015 to 2018 exhibited the most significant decline (ASIR, APC = -0.616, 95% CI: -0.818 to -0.413, P < 0.001), indicating a notable reduction in the COPD burden during this time (Fig. 7A and Supplementary Table 1 S10). Both the age-standardized mortality rate (ASMR) and Disability-Adjusted Life Years (AS-DALYs) showed significant overall declines (ASMR, AAPC = -2.203, 95% CI: -2.397 to -2.009, P < 0.001; AS-DALYs, AAPC = -2.112, 95% CI: -2.212 to -2.012, P < 0.001) (Supplementary Tables 1 S11, S12). The period from 2004 to 2007 saw the largest decline in both ASMR and AS-DALYs (ASMR, APC = -4.291, 95% CI: -5.871 to -2.684; AS-DALYs, APC = -3.782, 95% CI: -4.611 to -2.946, P < 0.001) (Fig. 7B-C and Supplementary Tables 1 S13, S14). Overall, the reduction in COPD-related mortality and health loss in Asia was particularly significant, although the rate of decline in each indicator varied across different time periods. Discussion This study, based on the GBD 2021 data, systematically analyzes the changes in the incidence rate, mortality rate, and Disability-Adjusted Life Years (DALYs) of COPD in the Asia region. In 2021, the annual incidence of COPD in Asia exceeded ten million cases, highlighting the high prevalence and emerging risks associated with the disease [ 14 ]. With the aging population, the decline in lung function and the presence of multiple chronic diseases in elderly individuals will further exacerbate the disease burden [ 15 ]. In the future, more targeted interventions should be implemented to effectively reduce the COPD burden, focusing on major risk factors such as smoking, air pollution, and occupational exposure. Globally, the primary risk factors for COPD in 2021 include particulate matter pollution (PM), smoking, and occupational exposure to particulate matter, gases, and fumes (OP-MGF). The impact of these factors varies across different regions, particularly in Asia, where the large population base and higher levels of environmental pollution make COPD's contribution to the disease burden particularly significant [ 16 ]. In South Asia, indoor air pollution from the use of biomass fuels in rural households poses a serious health threat to women and children, significantly increasing the risk of COPD [ 17 , 18 ]. Additionally, the widespread consumption of tobacco in India and other Asian countries further exacerbates the COPD burden [ 19 ]. From 1990 to 2021, East Asia showed a significant decline in the age-standardized incidence rate, mortality rate, and DALYs for COPD, making it the region with the most notable improvements in Asia. For example, China reduced exposure to key risk factors through coal-burning regulations and tobacco control laws [ 20 , 21 ]. Furthermore, the widespread implementation of lung function screening has improved disease management outcomes [ 22 ]. The experiences of East Asia demonstrate that comprehensive intervention measures are crucial in COPD prevention and control, providing valuable insights for other regions. Analysis in 2021 revealed a significant negative correlation between the Socio-Demographic Index (SDI) and both the age-standardized mortality rate (ASMR) and age-standardized Disability-Adjusted Life Years rate (AS-DALYs) for COPD in the Asia region. This trend reflects the key role of public health interventions such as smoking cessation, air pollution control, and improvements in healthcare services in reducing the COPD burden [ 23 , 24 ]. However, despite higher SDI levels in East Asia and South Asia, the COPD burden in these regions remains significantly higher than expected. This phenomenon can be attributed to factors such as high smoking rates, severe air pollution, occupational exposures, and the widespread use of indoor biomass fuels, all of which exacerbate the health burden of COPD [ 25 , 26 ]. Further analysis shows that, from 1990 to 2021, there was a clear negative correlation between the COPD disease burden and SDI values across Asian countries. However, countries like Nepal and India had a COPD burden significantly higher than what their SDI levels would suggest, indicating that socio-cultural differences, public health policies, and healthcare resources also play a crucial role in the disease burden of these regions [ 27 , 28 ]. At the national level, studies show that 59.4% of COPD patients in Nepal are current smokers, and more than two-thirds (76.2%) rely on traditional firewood for cooking. Furthermore, the increasing emissions from vehicle exhaust and the release of PM2.5 have further exacerbated the COPD burden[ 27 , 29 ]. North Korea faces severe carbon monoxide and aerosol pollution, which are key contributors to the high incidence of COPD in the region [ 30 ]. In India, the burden of COPD is particularly pronounced due to high tobacco consumption, a large labor force engaged in high-risk occupations, as well as insufficient healthcare resources and low public health awareness[ 31 ]. In contrast, Singapore has made significant progress in COPD prevention and control. From 1990 to 2021, Singapore showed a clear decline in the incidence rate, mortality rate, and DALYs for COPD, attributed to its exceptional performance in early diagnosis and comprehensive management of COPD. Singapore’s healthcare institutions have effectively reduced the disease burden by optimizing treatment protocols and implementing comprehensive management strategies [ 32 , 33 ]. This achievement stands in stark contrast to the challenges faced by other regions in disease control. In the analysis of gender and age, the incidence rate, mortality rate, and Disability-Adjusted Life Years (DALYs) for COPD significantly increase in individuals over 45 years of age. The natural decline in lung function in the elderly, along with chronic airway inflammation and lung tissue damage, are major contributors to the increased COPD burden [ 34 , 35 ]. Due to historically higher smoking rates, males face a more significant COPD burden. However, as smoking rates rise among females, the COPD burden in women is likely to continue increasing in the future. The cumulative effects of smoking, through damage to lung structure and function, significantly elevate the risk of the disease [ 36 , 37 ]. Joinpoint regression analysis indicated a significant decline in the COPD burden in Asia between 2004 and 2007. This change is closely related to the implementation of comprehensive interventions. Increased tobacco taxes, the enactment of comprehensive smoking bans, and improvements in air pollution control effectively reduced the COPD burden[ 38 , 39 ]. Additionally, strengthening healthcare systems and optimizing chronic disease management facilitated COPD screening and early diagnosis, further alleviating the disease burden [ 40 ]. In the future, continued enhancement of tobacco control policies, optimization of healthcare services, and improvements in air quality are essential to further reduce the global COPD burden. Although this study systematically analyzes the COPD burden across 48 countries and regions in Asia, there are some limitations. First, variations in data quality and availability across different regions may impact the accuracy of the results. Second, this study mainly relies on existing data, lacking real-time, dynamic monitoring data, which may not fully reflect the current changes in disease burden. Future research should address these aspects to obtain more accurate analysis results. Conclusions This study systematically assessed the COPD disease burden across Asia and its 48 countries, revealing that the high burden in South Asia and East Asia is primarily driven by smoking, air pollution, and occupational exposure. The burden is heaviest in low and middle SDI regions, with males and the elderly being high-risk populations. The study emphasizes that strengthening tobacco control, improving air quality, and optimizing healthcare resources are crucial to alleviating the COPD burden, providing scientific evidence for the formulation of targeted public health policies. Abbreviations GBD Global Burden of Disease COPD Chronic Obstructive Pulmonary Disease SDI Socio-Demographic Index APC Annual Percentage Change AAPC Average Annual Percentage Change DALY Disability-Adjusted Life Years PM particulate matter pollution ASRs age-standardized rates Declarations Acknowledgements The authors appreciate the works by the Global Burden of Disease Study 2021 collaborators Author contributions Conceptualization, YL and YP; Methodology, ZYW, XZ and PXZ; Investigation, YLH YL and Z YW, and PXZ; Writing – Original Draft, ZYW and XZ.; Writing – Review & Editing, ZYW and YL; Funding Acquisition, YL and YP; Resources, YLY and YLH Supervision, YP, and YLY; All authors had full access to all the data in the study and had final responsibility for the decisions to submit for publication Funding This study was supported by the Joint Special Funds Program for Basic Research in Local Undergraduate Universities in Yunnan Province (202101BA070001-129) and the National Natural Science Foundation of China (82160044). Data availability statement The data used for these analyses are all publicly available at http://ghdx.healthdata.org/gbd-results-tool. Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The authors declare no competing interests. Author details *Corresponding author: Yan Li, College of Basic Medical Sciences, Dali University, 22 Wanhua Road, Dali 671000, Yunnan, China. Email: [email protected] References Ward SA, Casaburi R: 21st century perspective on chronic obstructive pulmonary disease . Respiration 2001, 68 (6):557-561. Kant S, Gupta B: Role of lifestyle in the development of chronic obstructive pulmonary disease: a review . Lung India 2008, 25 (2):95-101. Boers E, Barrett M, Su JG, Benjafield AV, Sinha S, Kaye L, Zar HJ, Vuong V, Tellez D, Gondalia R et al : Global Burden of Chronic Obstructive Pulmonary Disease Through 2050 . JAMA Netw Open 2023, 6 (12):e2346598. 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Cortopassi F, Gurung P, Pinto-Plata V: Chronic Obstructive Pulmonary Disease in Elderly Patients . Clin Geriatr Med 2017, 33 (4):539-552. Hanania NA, Sharma G, Sharafkhaneh A: COPD in the elderly patient . Semin Respir Crit Care Med 2010, 31 (5):596-606. Aryal S, Diaz-Guzman E, Mannino DM: COPD and gender differences: an update . Transl Res 2013, 162 (4):208-218. Grabicki M, Kuźnar-Kamińska B, Rubinsztajn R, Brajer-Luftmann B, Kosacka M, Nowicka A, Piorunek T, Kostrzewska M, Chazan R, Batura-Gabryel H: COPD Course and Comorbidities: Are There Gender Differences? Adv Exp Med Biol 2019, 1113 :43-51. Zhao M: [Two points concerning the prevention and management of chronic obstructive pulmonary diseases] . Zhonghua Jie He He Hu Xi Za Zhi 2001, 24 (10):577-578. Jindal SK, Gupta D, Aggarwal AN: Guidelines for management of chronic obstructive pulmonary disease (COPD) in India: a guide for physicians (2003) . Indian J Chest Dis Allied Sci 2004, 46 (2):137-153. Wedzicha JA, Seemungal TA: COPD exacerbations: defining their cause and prevention . Lancet 2007, 370 (9589):786-796. Additional Declarations No competing interests reported. Supplementary Files SupplementaryFigS1.tif SupplementaryFigS2.tif SupplementaryFigS3.tif SupplementaryFigS4.tif SupplementaryFigS5.tif SupplementaryFigS6.tif SupplementaryFigS7.tif SupplementaryTable1.xlsx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6862863","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":483919883,"identity":"9738643a-dd65-4592-9143-c99b4ef8c9b1","order_by":0,"name":"Zeyuan Wu","email":"","orcid":"","institution":"Dali University","correspondingAuthor":false,"prefix":"","firstName":"Zeyuan","middleName":"","lastName":"Wu","suffix":""},{"id":483919884,"identity":"b77ae3c4-e44c-452a-9e27-d10489d394c5","order_by":1,"name":"Xin Zhang","email":"","orcid":"","institution":"Dali University","correspondingAuthor":false,"prefix":"","firstName":"Xin","middleName":"","lastName":"Zhang","suffix":""},{"id":483919885,"identity":"9e32d818-4691-480c-a367-739ff5a90169","order_by":2,"name":"Pingxi Zhang","email":"","orcid":"","institution":"Dali University","correspondingAuthor":false,"prefix":"","firstName":"Pingxi","middleName":"","lastName":"Zhang","suffix":""},{"id":483919886,"identity":"bcee0115-50a7-4bde-81bd-02f4b4b3920a","order_by":3,"name":"Yaling He","email":"","orcid":"","institution":"Dali University","correspondingAuthor":false,"prefix":"","firstName":"Yaling","middleName":"","lastName":"He","suffix":""},{"id":483919887,"identity":"93ede84d-f046-4d21-895d-c2d522f73da1","order_by":4,"name":"Yalin Ye","email":"","orcid":"","institution":"Dali University","correspondingAuthor":false,"prefix":"","firstName":"Yalin","middleName":"","lastName":"Ye","suffix":""},{"id":483919888,"identity":"f1f6dec1-7c96-4874-af97-74cdefc611ec","order_by":5,"name":"Yun Pan","email":"","orcid":"","institution":"The First Affiliated Hospital of Dali University","correspondingAuthor":false,"prefix":"","firstName":"Yun","middleName":"","lastName":"Pan","suffix":""},{"id":483919889,"identity":"1b446eed-754a-46f0-a2aa-b6c66cbdac57","order_by":6,"name":"Yan Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBklEQVRIie2RMUvDUBDHLxy8txyN44WKfoXnkigUv0iXhEKmZlWLIQYK6SLugui3yBwIpIuz4PZcOjtJkQq+tkuXNB0F3286jvtx9+cALJY/iEIQEJpCSICKb+BYHK4gOPr8FahbMcPbCgHVpADqPCyQ8k3r72zYQ2z4/fmSejz2NaSDYZtyMaVrFT3USYEi9h7LEQkeBwqaOMnbDqsp5ui+Mgr5fa/EteKzk9ddSmYU96v/83R3iCIbDpe43oLKy+tuxWSRKso3Wc40N3MStLjicE+WwJ0vPparLHmZTXXF6e3J6WxU8mc6aFUASIFT7DaOQtg8tx2pAVa7DbfaO2+xWCz/j1+3bFJL47HLKQAAAABJRU5ErkJggg==","orcid":"","institution":"Dali University","correspondingAuthor":true,"prefix":"","firstName":"Yan","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2025-06-10 12:08:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6862863/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6862863/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":87031398,"identity":"7fcd44f1-9729-475c-b7fd-2d7d57ed03ef","added_by":"auto","created_at":"2025-07-18 12:52:12","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":321370,"visible":true,"origin":"","legend":"\u003cp\u003eGlobal distribution of COPD burden in 2021. age-standardized incidence\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/50746c8dfca681214d0dcb02.png"},{"id":87028986,"identity":"bf175a20-e72d-4bbb-adcd-e6ffcc660a56","added_by":"auto","created_at":"2025-07-18 12:36:12","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":164219,"visible":true,"origin":"","legend":"\u003cp\u003eThe relationship between the Socio-Demographic Index (SDI) and the Age-Standardized Incidence Rate (ASIR) of Chronic Obstructive Pulmonary Disease (COPD) across 22 regions from 1990 to 2021.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/878cf9ab93331205060da732.png"},{"id":87028987,"identity":"46e0239b-33cf-4b91-81d7-9f8318a30fdb","added_by":"auto","created_at":"2025-07-18 12:36:12","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":218312,"visible":true,"origin":"","legend":"\u003cp\u003eProportion of death attributable to Risk Factors for Chronic Obstructive Pulmonary Disease (COPD) in 2021 across Five SDI Regions and GBD super regions. The risk factors include: Smoking, Secondhand Smoke, Occupational Exposure to Particulate Matter, Gases, and Fumes（OP-MGF）, Ambient Ozone Pollution, Particulate Matter Pollution(PM), High Temperature, and Low Temperature.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/d5b8046726c258173e2c435c.png"},{"id":87028990,"identity":"8572e4d6-24be-40a2-9b1a-32f3acc2fc57","added_by":"auto","created_at":"2025-07-18 12:36:12","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":57359,"visible":true,"origin":"","legend":"\u003cp\u003eProportional contribution of different risk factors to the age-standardized rates of mortality and disability-adjusted life years (DALYs) for chronic obstructive pulmonary disease (COPD) from 1990 to 2021. (A) Proportional contribution of major risk factors to COPD mortality rates. (B) Proportional contribution of major risk factors to COPD disability-adjusted life years.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/04586c1f78406747dc5f56d8.png"},{"id":87029026,"identity":"338a6b5a-b650-4fc3-bbfd-7fe662a18334","added_by":"auto","created_at":"2025-07-18 12:36:13","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":68532,"visible":true,"origin":"","legend":"\u003cp\u003eSex and Age-structured Analysis of COPD Burden in 2021 across Asian Regions. (A) Incidence rates and numbers. (B) Mortality rates and numbers. (C) DALYs rates and numbers.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/dc5f48ce01c12382d9d6133b.png"},{"id":87029011,"identity":"cd76fefd-a330-4a76-8ad7-23a41057c694","added_by":"auto","created_at":"2025-07-18 12:36:12","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":187494,"visible":true,"origin":"","legend":"\u003cp\u003eThe burden of COPD across different gender groups in Asian regions from 1990 to 2021.\u003cstrong\u003e \u003c/strong\u003e(A) Age-Standardized Incidence Rate. (B) Age-Standardized Mortality Rate (C) Age- Standardized Disability-Adjusted Life Years\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/9aadb39f2a39bb4de697d3ac.png"},{"id":87031404,"identity":"714f1f2f-231e-4ef5-9e65-ebb9bfc97086","added_by":"auto","created_at":"2025-07-18 12:52:13","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":120850,"visible":true,"origin":"","legend":"\u003cp\u003eThe joinpoint regression analysis of COPD burden temporal trends, 1990–2021 (A) age-standardized incidence rates. \u0026nbsp;(B) age-standardized mortality rates. (C) age-standardized disability-adjusted life years rates.\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/56b0023ae90951cb1265982b.png"},{"id":90507402,"identity":"bb7925f1-9fc6-4119-9a3f-5cfa99deaedd","added_by":"auto","created_at":"2025-09-03 12:54:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3568050,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/3d09166c-8246-4757-af27-2714968f720b.pdf"},{"id":87030377,"identity":"5b78e118-5b75-4472-8a7d-1e7367dd81a1","added_by":"auto","created_at":"2025-07-18 12:44:14","extension":"tif","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":19638968,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS1.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/8b75f61114ebca0db29f18fe.tif"},{"id":87030361,"identity":"a01c5047-356f-4d49-bb2e-fcb842acdff6","added_by":"auto","created_at":"2025-07-18 12:44:12","extension":"tif","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":4290108,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS2.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/de2571779d8bc59f5c16d651.tif"},{"id":87029020,"identity":"e5e48dc6-d58b-4aeb-a076-93251449b92e","added_by":"auto","created_at":"2025-07-18 12:36:12","extension":"tif","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":4584444,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS3.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/2bb954dd195aed9560d67a44.tif"},{"id":87029031,"identity":"59c32e58-0fd3-463a-b280-ec7497e9dc7e","added_by":"auto","created_at":"2025-07-18 12:36:13","extension":"tif","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":3135932,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS4.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/f88dfa81ba6673a0814bd334.tif"},{"id":87033751,"identity":"ecdb1d68-d5f3-4629-aee3-5a050dc5a15d","added_by":"auto","created_at":"2025-07-18 13:08:12","extension":"tif","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":4099024,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS5.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/4586045818b77d628b833b6f.tif"},{"id":87029009,"identity":"b092d2c5-d882-4e98-b291-90d75f76dceb","added_by":"auto","created_at":"2025-07-18 12:36:12","extension":"tif","order_by":6,"title":"","display":"","copyAsset":false,"role":"supplement","size":4294908,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS6.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/8f3d07e4f03f0a5f5b038ca4.tif"},{"id":87030354,"identity":"61ff0a67-7521-496d-9f70-10b4b8245e79","added_by":"auto","created_at":"2025-07-18 12:44:12","extension":"tif","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":4588840,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFigS7.tif","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/d8fdb16a0707f9c6f368ac3e.tif"},{"id":87031397,"identity":"2f66bf88-ab77-48f1-aff0-e16cfb159a10","added_by":"auto","created_at":"2025-07-18 12:52:12","extension":"xlsx","order_by":8,"title":"","display":"","copyAsset":false,"role":"supplement","size":140683,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryTable1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-6862863/v1/8b8a0ce5b10f22b5110724ac.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Burden and Risk Factors of Chronic Obstructive Pulmonary Disease (COPD) in Asia and Its Countries from 1990 to 2021: A Systematic Analysis Based on the 2021 Global Burden of Disease Study","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eChronic Obstructive Pulmonary Disease (COPD) is one of the most burdensome chronic diseases globally and has become the third leading cause of death worldwide [1]. The major risk factors for COPD include smoking, air pollution, and extreme environmental conditions, and its occurrence is closely linked to unhealthy lifestyles [2]. With the aging population and the continuous deterioration of environmental pollution, COPD poses a severe public health threat to regions and countries, creating significant challenges for healthcare systems worldwide [3, 4].\u003c/p\u003e\n\u003cp\u003eThe Global Burden of Disease (GBD) study, led by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington, is a global health research initiative designed to systematically quantify the impact of diseases, injuries, and risk factors on population health across countries, regions, and globally[5, 6]. The data and analysis from GBD 2021 are of critical importance in the global health field, providing scientific evidence for health advocates, government agencies, and researchers to assess the prioritization of health issues, develop intervention strategies, and drive improvements in healthcare systems and health equity [7].\u003c/p\u003e\n\u003cp\u003eHowever, existing studies have seldom delved deeply into the long-term trends of COPD disease burden, the specific contributions of risk factors, and the regional differences. Using GBD 2021 data, this study analyzes the COPD burden from 1990 to 2021 across different regions, age groups, genders, and Socio-Demographic Index (SDI) levels, with a particular focus on age-standardized rates (ASRs) and Average Annual Percentage Change (AAPC) in Asia and its countries. Additionally, we explore the primary risk factors for COPD burden and forecast the disease\u0026apos;s epidemiological trends. These analyses contribute to a more comprehensive understanding of global COPD trends and their dynamic changes. This study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines (http://www.prisma-statement.org/).\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cp\u003e\u003cstrong\u003eData source\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Global Burden of Disease (GBD) database (http://ghdx.healthdata.org/gbd-results-tool), developed through collaboration among global health research institutions, is a comprehensive health data platform designed to assess the impact of diseases, injuries, and their risk factors on health across various regions, countries, and globally [8, 9]. This database encompasses data across multiple dimensions, including mortality, incidence, Disability-Adjusted Life Years (DALYs), and risk factors, among others [7].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTrend Analysis: Joinpoint Regression Model\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, to analyze the temporal trends of the Chronic Obstructive Pulmonary Disease (COPD) disease burden from 1990 to 2021, we employed the Joinpoint regression model. This model effectively identifies turning points in the data and estimates the rate of change for each time period [7]. Specifically, we used the Annual Percentage Change (APC) to measure the annual rate of change in disease burden for each time period, with the following calculation formula:\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003eTo ensure the reliability of the results, we also calculated the 95% confidence intervals (95% CI) for each change. Using these methods, this study was able to scientifically reveal the trend changes in the COPD disease burden across different time periods [10].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSocio-demographic index\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, we selected countries with different Socio-Demographic Index (SDI) levels for detailed analysis. SDI is a composite index that reflects the socio-economic development level of a region, primarily encompassing aspects such as income, human capital (including education level and life expectancy), and other factors[11, 12]. By comparing the COPD disease burden across regions with varying SDI levels, we aim to reveal the impact of socio-economic development on the COPD burden.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn terms of statistical software and tools, the Joinpoint regression analysis was conducted using the Joinpoint Regression Program (version 5.30), while data preprocessing and result visualization were performed using R (version 4.3.2). These tools ensured the accuracy and reproducibility of the data analysis. Joinpoint is a statistical software used to analyze trends, processing trend data using a joinpoint model to fit the simplest possible joinpoint model allowed by the data. Users can set the minimum and maximum number of joinpoints, effectively capturing changes in the data and helping to identify significant change points in different time periods [13].\u003c/p\u003e"},{"header":"3. Results","content":"\u003cp\u003e\u003cstrong\u003eGlobal burden analysis from 1990 to 2021\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn 2021, the global incidence of COPD was 16,895,445 cases (95% UI: 15,471,347\u0026ndash;18,335,691); the age-standardized incidence rate (ASIR) was 197.37 per 100,000 persons (95% UI: 181.65\u0026ndash;213.42). From 1990 to 2021, the ASIR decreased by 0.02 per 100,000 persons (95% UI: -0.05 to -0.01) (Supplementary Table S1). The number of deaths was 3,719,937 cases (95% UI: 3,347,912\u0026ndash;4,084,218); the age-standardized death rate (ASMR) was 45.22 per 100,000 persons (95% UI: 40.61\u0026ndash;49.70). From 1990 to 2021, the ASMR decreased by 0.37 per 100,000 persons (95% UI: -0.43 to -0.28) (Supplementary Table S1). The number of Disability-Adjusted Life Years (DALYs) was 79,779,695 cases (95% UI: 74,026,373\u0026ndash;86,011,406); the DALY rate was 940.66 per 100,000 persons (95% UI: 871.48\u0026ndash;1014.59). From 1990 to 2021, the AS-DALYs decreased by -0.37 per 100,000 persons (95% UI: -0.42 to -0.29) (Supplementary Table S1).\u003c/p\u003e\n\u003cp\u003eTable 1: Incident cases, Death cases and DALYs for COPD in 2021 for sexes and rate change of age-standardised rates by Asia region Burden of Disease (GBD).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCorrelation Analysis of Socio-Demographic Index (SDI)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn 2021, a significant negative correlation was observed between the age-standardized incidence rate (ASIR), mortality rate (ASMR), and Disability-Adjusted Life Years (AS-DALYs) of COPD and the Socio-Demographic Index (SDI) across 48 Asian countries with different SDI levels (ASIR: R = -0.53, P \u0026lt; 0.001; ASMR: R = -0.66, P \u0026lt; 0.001; AS-DALYs: R = -0.69, P \u0026lt; 0.001) (Supplementary Fig S2). (R represents the correlation coefficient, and P \u0026lt; 0.05 indicates statistical significance).\u003c/p\u003e\n\u003cp\u003eAn analysis of the COPD burden across 22 global regions from 1990 to 2021, categorized by SDI, showed a positive correlation between the ASIR and SDI (ASIR: R = 0.022, P = 0.545) (Fig. 2), while the ASMR and AS-DALYs exhibited significant negative correlations with SDI (see Supplementary Fig S3). Specifically, in the Asian region, East Asia and South Asia had higher ASMR and AS-DALYs than expected based on their SDI levels. Even at higher SDI levels, the COPD burden in East Asia and South Asia remained significantly higher than expected (Supplementary Fig S3), indicating that the COPD burden in these regions is particularly severe.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRisk Factor Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn 2021, the burden of Chronic Obstructive Pulmonary Disease (COPD) in global regions due to seven different risk factors showed significant variation, with particulate matter pollution (PM) ranked as the leading risk factor, followed by smoking, occupational particulate matter, gases, and fumes (OP-MGF), ambient ozone pollution, secondhand smoke, low temperature, and high temperature (Fig. 3 and Supplementary Table 1 S2).\u003c/p\u003e\n\u003cp\u003eAmong these risk factors, the COPD burden in Asia is particularly severe, prompting further analysis of the region. Specifically, South Asia had the highest COPD death rates globally due to ambient ozone pollution, high temperature, and occupational particulate matter, gases, and fumes (OP-MGF), with rates of 22.49 per 100,000 persons (95% UI: 4.91\u0026ndash;38.06), 2.01 per 100,000 persons (95% UI: -0.22\u0026ndash;5.04), and 15.60 per 100,000 persons (95% UI: 12.52\u0026ndash;19.44), respectively (Fig. 3 and Supplementary Table 1 S2). East Asia exhibited the most severe COPD death rates globally due to smoking and low temperature, with rates of 30.56 per 100,000 persons (95% UI: 22.68\u0026ndash;38.48) and 8.30 per 100,000 persons (95% UI: 6.70\u0026ndash;10.13), respectively (Fig. 3 and Supplementary Table 1 S2).\u003c/p\u003e\n\u003cp\u003eThe impact of different risk factors on Disability-Adjusted Life Years (DALYs) in Asia is also noteworthy. In 2021, South Asia experienced the highest global COPD DALY burden due to smoking, occupational particulate matter, gases, and fumes (OP-MGF), high temperature, and ambient ozone pollution, with values of 591.70 per 100,000 persons (95% UI: 464.04\u0026ndash;727.28), 320.26 per 100,000 persons (95% UI: 264.02\u0026ndash;390.03), 34.97 per 100,000 persons (95% UI: -4.31\u0026ndash;88.98), and 388.54 per 100,000 persons (95% UI: 84.32\u0026ndash;655.80), respectively (Supplementary Fig. S4 and Supplementary Table S2). In East Asia, the COPD DALY burden due to low temperature was the highest globally, with a rate of 118.63 per 100,000 persons (95% UI: 95.67\u0026ndash;144.46) (Supplementary Fig. S4 and Supplementary Table S2).These disparities reflect the unique characteristics of risk factor exposure in the Asian region, suggesting that targeted intervention strategies addressing these risk factors are necessary to effectively reduce the COPD disease burden.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAsia level\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe analyzed the age-standardized contribution proportions of different risk factors to the mortality and Disability-Adjusted Life Years (DALYs) rates for Chronic Obstructive Pulmonary Disease (COPD) in the Asia region. The results showed that particulate matter pollution, smoking, and secondhand smoke were the primary risk factors for the COPD disease burden, accounting for the largest proportion, indicating that these factors play a crucial role in the onset and progression of COPD (Fig. 4A-B). In contrast, the contribution of risk factors such as occupational exposure, ozone pollution, and extreme temperatures (both high and low) was relatively lower, with minimal changes between 1990 and 2020 (Fig. 4A-B). Although these factors contributed less, they may still have significant localized effects on specific populations or regions.\u003c/p\u003e\n\u003cp\u003eIn 2021, age and sex analysis revealed significant differences in the COPD burden across the Asia region. The incidence rate increased after the age of 40, while the mortality rate increased after the age of 55, with the disease burden generally being higher in males than females (Fig. 5A-C). In 2021, South Asia had the highest age-standardized incidence rate of 258.26 per 100,000 persons (95% UI: 242.49\u0026ndash;273.76), age-standardized death rate of 101.63 per 100,000 persons (95% UI: 90.55\u0026ndash;114.34), and age-standardized DALY rate of 2049.22 per 100,000 persons (95% UI: 1862.71\u0026ndash;2268.73) among all regions in Asia (Table 1 and Supplementary Table S3). From 1990 to 2021, East Asia experienced the largest decreases in the age-standardized incidence rate (ASIR) by 0.20 per 100,000 persons (95% UI: -0.25 to -0.17), age-standardized mortality rate (ASMR) by 0.68 per 100,000 persons (95% UI: -0.74 to -0.60), and age-standardized DALYs (AS-DALYs) by 0.68 per 100,000 persons (95% UI: -0.74 to -0.60), making it the region with the largest decline in all three indicators in Asia (Table 1 and Supplementary Table S4).\u003c/p\u003e\n\u003cp\u003eAt the national level, Nepal had the highest age-standardized incidence rate (ASIR) of 310.58 per 100,000 persons (95% UI: 300.58\u0026ndash;319.70), age-standardized death rate (ASMR) of 146.13 per 100,000 persons (95% UI: 116.66\u0026ndash;182.46), and age-standardized Disability-Adjusted Life Years (AS-DALYs) rate of 2836.01 per 100,000 persons (95% UI: 2275.30\u0026ndash;3485.04) among all countries in Asia. Following Nepal, North Korea ranked second, and India ranked third (Supplementary Tables S5-S7). From 1990 to 2021, Singapore experienced a significant decline in the age-standardized incidence rate (ASIR) by -0.37 per 100,000 persons (95% UI: -0.45 to -0.27), age-standardized mortality rate (ASMR) by -0.85 per 100,000 persons (95% UI: -0.87 to -0.84), and age-standardized DALYs (AS-DALYs) by -0.81 per 100,000 persons (95% UI: -0.83 to -0.79), making it the country with the most significant decrease in all three indicators in Asia. This reflects Singapore\u0026apos;s notable achievements in COPD prevention and treatment (Supplementary Table S8).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTrends from 1990 to 2021\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFrom 1990 to 2021, the COPD burden in South Asia was the highest in the Asia region, with the age-standardized incidence rate (ASIR) ranking first across all gender groups (male, female, and overall) (Table 1 and Fig. 6A). This phenomenon further highlights the severity and complexity of addressing the COPD challenge in this region. In contrast, East Asia exhibited a significant downward trend in COPD mortality rate (ASMR) and Disability-Adjusted Life Years (AS-DALYs), with the most pronounced declines observed across all gender groups, indicating significant progress in public health policies, treatment, and control measures in the region (Table 1 and Fig. 6B-C).\u003c/p\u003e\n\u003cp\u003eTo further explore the impact of gender and age on the COPD burden in Asia, this study analyzed the distribution of COPD-related indicators by gender and age group from 1990 to 2021. The analysis covered age groups starting from 20 years, with 5-year intervals, and systematically examined the incidence rate, mortality rate, and Disability-Adjusted Life Years for each age group. The results showed that, apart from the increase in incidence rate, mortality rate, and DALYs in the \u0026quot;all ages\u0026quot; group, the indicators for other age groups exhibited varying degrees of decline. Additionally, the disease burden was consistently higher in males compared to females across all age groups (Supplementary Fig. S5-S7).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eJoinpoint Regression Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe conducted a Joinpoint regression analysis of the COPD disease burden in the Asia region to reveal its temporal trends. From 1990 to 2021, the major COPD indicators in Asia showed an overall downward trend, but the rate of decline and significant time periods varied. The age-standardized incidence rate (ASIR) showed a downward trend (ASIR, AAPC = -0.338, 95% CI: -0.362 to -0.314, P \u0026lt; 0.001) (Supplementary Table 1 S9). The period from 2015 to 2018 exhibited the most significant decline (ASIR, APC = -0.616, 95% CI: -0.818 to -0.413, P \u0026lt; 0.001), indicating a notable reduction in the COPD burden during this time (Fig. 7A and Supplementary Table 1 S10).\u003c/p\u003e\n\u003cp\u003eBoth the age-standardized mortality rate (ASMR) and Disability-Adjusted Life Years (AS-DALYs) showed significant overall declines (ASMR, AAPC = -2.203, 95% CI: -2.397 to -2.009, P \u0026lt; 0.001; AS-DALYs, AAPC = -2.112, 95% CI: -2.212 to -2.012, P \u0026lt; 0.001) (Supplementary Tables 1 S11, S12). The period from 2004 to 2007 saw the largest decline in both ASMR and AS-DALYs (ASMR, APC = -4.291, 95% CI: -5.871 to -2.684; AS-DALYs, APC = -3.782, 95% CI: -4.611 to -2.946, P \u0026lt; 0.001) (Fig. 7B-C and Supplementary Tables 1 S13, S14). Overall, the reduction in COPD-related mortality and health loss in Asia was particularly significant, although the rate of decline in each indicator varied across different time periods.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study, based on the GBD 2021 data, systematically analyzes the changes in the incidence rate, mortality rate, and Disability-Adjusted Life Years (DALYs) of COPD in the Asia region. In 2021, the annual incidence of COPD in Asia exceeded ten million cases, highlighting the high prevalence and emerging risks associated with the disease [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. With the aging population, the decline in lung function and the presence of multiple chronic diseases in elderly individuals will further exacerbate the disease burden [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. In the future, more targeted interventions should be implemented to effectively reduce the COPD burden, focusing on major risk factors such as smoking, air pollution, and occupational exposure.\u003c/p\u003e\u003cp\u003eGlobally, the primary risk factors for COPD in 2021 include particulate matter pollution (PM), smoking, and occupational exposure to particulate matter, gases, and fumes (OP-MGF). The impact of these factors varies across different regions, particularly in Asia, where the large population base and higher levels of environmental pollution make COPD's contribution to the disease burden particularly significant [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn South Asia, indoor air pollution from the use of biomass fuels in rural households poses a serious health threat to women and children, significantly increasing the risk of COPD [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Additionally, the widespread consumption of tobacco in India and other Asian countries further exacerbates the COPD burden [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. From 1990 to 2021, East Asia showed a significant decline in the age-standardized incidence rate, mortality rate, and DALYs for COPD, making it the region with the most notable improvements in Asia. For example, China reduced exposure to key risk factors through coal-burning regulations and tobacco control laws [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Furthermore, the widespread implementation of lung function screening has improved disease management outcomes [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. The experiences of East Asia demonstrate that comprehensive intervention measures are crucial in COPD prevention and control, providing valuable insights for other regions.\u003c/p\u003e\u003cp\u003eAnalysis in 2021 revealed a significant negative correlation between the Socio-Demographic Index (SDI) and both the age-standardized mortality rate (ASMR) and age-standardized Disability-Adjusted Life Years rate (AS-DALYs) for COPD in the Asia region. This trend reflects the key role of public health interventions such as smoking cessation, air pollution control, and improvements in healthcare services in reducing the COPD burden [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. However, despite higher SDI levels in East Asia and South Asia, the COPD burden in these regions remains significantly higher than expected. This phenomenon can be attributed to factors such as high smoking rates, severe air pollution, occupational exposures, and the widespread use of indoor biomass fuels, all of which exacerbate the health burden of COPD [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Further analysis shows that, from 1990 to 2021, there was a clear negative correlation between the COPD disease burden and SDI values across Asian countries. However, countries like Nepal and India had a COPD burden significantly higher than what their SDI levels would suggest, indicating that socio-cultural differences, public health policies, and healthcare resources also play a crucial role in the disease burden of these regions [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eAt the national level, studies show that 59.4% of COPD patients in Nepal are current smokers, and more than two-thirds (76.2%) rely on traditional firewood for cooking. Furthermore, the increasing emissions from vehicle exhaust and the release of PM2.5 have further exacerbated the COPD burden[\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. North Korea faces severe carbon monoxide and aerosol pollution, which are key contributors to the high incidence of COPD in the region [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. In India, the burden of COPD is particularly pronounced due to high tobacco consumption, a large labor force engaged in high-risk occupations, as well as insufficient healthcare resources and low public health awareness[\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. In contrast, Singapore has made significant progress in COPD prevention and control. From 1990 to 2021, Singapore showed a clear decline in the incidence rate, mortality rate, and DALYs for COPD, attributed to its exceptional performance in early diagnosis and comprehensive management of COPD. Singapore\u0026rsquo;s healthcare institutions have effectively reduced the disease burden by optimizing treatment protocols and implementing comprehensive management strategies [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. This achievement stands in stark contrast to the challenges faced by other regions in disease control.\u003c/p\u003e\u003cp\u003eIn the analysis of gender and age, the incidence rate, mortality rate, and Disability-Adjusted Life Years (DALYs) for COPD significantly increase in individuals over 45 years of age. The natural decline in lung function in the elderly, along with chronic airway inflammation and lung tissue damage, are major contributors to the increased COPD burden [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. Due to historically higher smoking rates, males face a more significant COPD burden. However, as smoking rates rise among females, the COPD burden in women is likely to continue increasing in the future. The cumulative effects of smoking, through damage to lung structure and function, significantly elevate the risk of the disease [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eJoinpoint regression analysis indicated a significant decline in the COPD burden in Asia between 2004 and 2007. This change is closely related to the implementation of comprehensive interventions. Increased tobacco taxes, the enactment of comprehensive smoking bans, and improvements in air pollution control effectively reduced the COPD burden[\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Additionally, strengthening healthcare systems and optimizing chronic disease management facilitated COPD screening and early diagnosis, further alleviating the disease burden [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. In the future, continued enhancement of tobacco control policies, optimization of healthcare services, and improvements in air quality are essential to further reduce the global COPD burden.\u003c/p\u003e\u003cp\u003eAlthough this study systematically analyzes the COPD burden across 48 countries and regions in Asia, there are some limitations. First, variations in data quality and availability across different regions may impact the accuracy of the results. Second, this study mainly relies on existing data, lacking real-time, dynamic monitoring data, which may not fully reflect the current changes in disease burden. Future research should address these aspects to obtain more accurate analysis results.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThis study systematically assessed the COPD disease burden across Asia and its 48 countries, revealing that the high burden in South Asia and East Asia is primarily driven by smoking, air pollution, and occupational exposure. The burden is heaviest in low and middle SDI regions, with males and the elderly being high-risk populations. The study emphasizes that strengthening tobacco control, improving air quality, and optimizing healthcare resources are crucial to alleviating the COPD burden, providing scientific evidence for the formulation of targeted public health policies.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eGBD \u0026nbsp; \u0026nbsp; Global Burden of Disease\u003c/p\u003e\n\u003cp\u003eCOPD \u0026nbsp; Chronic Obstructive Pulmonary Disease \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSDI \u0026nbsp; \u0026nbsp; \u0026nbsp; Socio-Demographic Index\u003c/p\u003e\n\u003cp\u003eAPC \u0026nbsp; \u0026nbsp; \u0026nbsp;Annual Percentage Change\u003c/p\u003e\n\u003cp\u003eAAPC \u0026nbsp; Average Annual Percentage Change\u003c/p\u003e\n\u003cp\u003eDALY \u0026nbsp; Disability-Adjusted Life Years\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePM \u0026nbsp; \u0026nbsp; \u0026nbsp; particulate matter pollution\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eASRs \u0026nbsp; age-standardized rates\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors appreciate the works by the Global Burden of Disease Study 2021 collaborators\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization, YL and YP; Methodology, ZYW, XZ and PXZ; Investigation, YLH YL and Z YW, and PXZ; Writing \u0026ndash; Original Draft, ZYW and XZ.; Writing \u0026ndash; Review \u0026amp; Editing, ZYW and YL; Funding Acquisition, YL and YP; Resources, YLY and YLH Supervision, YP, and YLY; All authors had full access to all the data in the study and had final responsibility for the decisions to submit for publication\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was supported by the Joint Special Funds Program for Basic Research in Local Undergraduate Universities in Yunnan Province (202101BA070001-129) and the National Natural Science Foundation of China (82160044).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data used for these analyses are all publicly available at http://ghdx.healthdata.org/gbd-results-tool.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e*Corresponding author: Yan Li, College of Basic Medical Sciences, Dali University, 22 Wanhua Road, Dali 671000, Yunnan, China. 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exacerbations: defining their cause and prevention\u003c/strong\u003e. \u003cem\u003eLancet\u0026nbsp;\u003c/em\u003e2007, \u003cstrong\u003e370\u003c/strong\u003e(9589):786-796.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Chronic Obstructive Pulmonary Disease (COPD), disease burden, Risk factor, Socio-demographic Index(SDI), Joinpoint regression","lastPublishedDoi":"10.21203/rs.3.rs-6862863/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6862863/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eChronic Obstructive Pulmonary Disease (COPD) is a progressive and irreversible lung disease. According to the World Health Organization (WHO), COPD has become one of the leading causes of death globally. This study provides a comprehensive analysis of the COPD burden in the Asia region.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eThis study utilizes data on incidence, mortality, and Disability-Adjusted Life Years (DALY) from the 2021 Global Burden of Disease Study (GBD 2021), combined with the Socio-Demographic Index (SDI), to comprehensively assess the burden of COPD. The study also calculates the Annual Percentage Change (APC) and the Average Annual Percentage Change (AAPC), along with their 95% confidence intervals (95% CI). In addition, the main risk factors for COPD were evaluated\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eIn 2021, the number of COPD incidences in Asia was 10,512,843 cases (95% UI: 9,610,006\u0026ndash;11,432,970), with an age-standardized incidence rate of 210.79 per 100,000 persons (95% UI: 193.52\u0026ndash;227.94). The number of deaths was 2,885,059 cases (95% UI: 2,571,267\u0026ndash;3,218,689), with an age-standardized death rate of 64.10 per 100,000 persons (95% UI: 56.74\u0026ndash;71.66). The number of Disability-Adjusted Life Years (DALYs) was 60,507,100 cases (95% UI: 55,319,463\u0026ndash;66,518,282), with a disability-adjusted life years rate of 1253.15 per 100,000 persons (95% UI: 1148.26\u0026ndash;1376.29). At the regional level, South Asia exhibited the highest COPD burden among all regions in Asia. Furthermore, particulate matter pollution (PM), smoking, secondhand smoke, and occupational exposure to particulate matter, gases, and fumes (OP-MGF) were identified as the main risk factors for COPD in Asia.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e\u003cp\u003eThis study reveals the burden of Chronic Obstructive Pulmonary Disease (COPD) in the Asia region, with particulate matter pollution, smoking, and occupational exposure identified as the primary risk factors. Given the significant disease burden observed in the region, future public health interventions should focus on targeted measures to reduce the COPD burden and improve overall health outcomes.\u003c/p\u003e","manuscriptTitle":"The Burden and Risk Factors of Chronic Obstructive Pulmonary Disease (COPD) in Asia and Its Countries from 1990 to 2021: A Systematic Analysis Based on the 2021 Global Burden of Disease Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-18 12:36:06","doi":"10.21203/rs.3.rs-6862863/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"500daf30-5a5a-4b2a-b80f-00782c65c75d","owner":[],"postedDate":"July 18th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-09-03T12:53:46+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-18 12:36:06","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6862863","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6862863","identity":"rs-6862863","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}