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ORIGINAL RESEARCH

Prevalence and Risk Factors for COPD in an Urbanizing Rural Area in Western China: A Cross-Sectional Study

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Pages 459-468 | Received 06 Dec 2022, Accepted 27 Mar 2023, Published online: 04 Apr 2023

References

  • WHO’s Global Health Estimates. The top 10 causes of death. Available from: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed January 12, 2021.
  • Wang C, Xu J, Yang L, et al. Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health [CPH] study): a national cross-sectional study. Lancet. 2018;391(10131):1706–1717. doi:10.1016/S0140-6736(18)30841-9
  • IHME. What causes the most death and disability combined? Available from: http://www.healthdata.org/china. Accessed November 1, 2021.
  • Zhu B, Wang Y, Ming J, Wen C, Zhang L. Disease burden of COPD in China: a systematic review. Int J Chron Obstruct Pulmon Dis. 2018;13:1353–1364. doi:10.2147/COPD.S161555
  • IQAir. LIVE AQI city ranking; 2021. Available from: https://www.iqair.cn/cn/world-air-quality-ranking. Accessed December 6, 2021.
  • Pan Z, Dichens AP, Chi C, et al. Study to evaluate the effectiveness and cost-effectiveness of different screening strategies for identifying undiagnosed COPD among residents (≥40 years) in four cities in China: protocol for a multicentre cross-sectional study on behalf of the Breathe Well group. BMJ Open. 2020;10:e035738. doi:10.1136/bmjopen-2019-035738
  • Fleiss JL, Leivin B, Paik M. Statistical Methods for Rates and Proportions. 3rd ed. John Wiley & Sons; 2003.
  • Newcombe R. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med. 1998;17(8):857–872. doi:10.1002/(sici)1097-0258(19980430)17:8<857::aid-sim777>3.0.co;2-e
  • Global Initiative for Chronic Obstructive Lung Disease (GOLD). Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease; 2020. Available from: https://goldcopd.org/wp-content/uploads/2019/12/GOLD-2020-FINAL-ver1.2-03Dec19_WMV.pdf. Accessed November 15, 2019.
  • Zhou L, Jiang Y, Du C, et al. Development of an internet-of-things based portable spirometer and the validation of its accuracy (in Chinese). Int J Respir. 2019;39(2):113–118. doi:10.3760/cma.j.issn.1673-436X.2019.02.007
  • China Methology Association, ATC 17. Calibration specification for the pulmonary function measuring instrument. In: General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China. Beijing, China: China Methology Association; 2009.
  • Miller MR, Hankinson J, Brusasco V, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–338. doi:10.1183/09031936.05.00034805
  • Gerbase M, Dupuis-Lozeron E, Schindler C, Keidel D, Künzli N. Agreement between spirometers a challenge in the follow-up of patients and populations? Respiration. 2013;85(6):505–514. doi:10.1159/000346649
  • Yan X, Xu L, Shi B, Wang H, Xu X, Xu G. Epidemiology and risk factors of chronic obstructive pulmonary disease in Suzhou: a population-based cross-sectional study. J Thorac Dis. 2020;12(10):5347–5356. doi:10.21037/jtd-20-1616
  • He M, Zeng X, Zhang K, Kinney PL. Fine particulate matter concentrations in urban Chinese cities, 2005–2016: a systematic review. Int J Environ Res Public Health. 2017;14:191. doi:10.3390/ijerph14020191
  • Guan WJ, Zheng XY, Chung KF, Zhong NS. Impact of air pollution on the burden of chronic respiratory diseases in China: time for urgent action. Lancet. 2016;388(10054):1939–1951. doi:10.1016/S0140-6736(16)31597-5
  • Liu S, Zhou Y, Liu S, et al. Association between exposure to ambient particulate matter and chronic obstructive pulmonary disease: results from a cross-sectional study in China. Thorax. 2017;72(9):788–795. doi:10.1136/thoraxjnl-2016-208910
  • Zhong N, Wang C, Yao W, et al. Prevalence of chronic obstructive pulmonary disease in China: a large, population-based survey. Am J Respir Crit Care Med. 2007;176(8):753–760. doi:10.1164/rccm.200612-1749OC
  • Foreman MG, Zhang L, Murphy J, et al. Early-onset chronic obstructive pulmonary disease is associated with female sex, maternal factors, and African American race in the COPD gene study. Am J Respir Crit Care Med. 2011;184(4):414–420. doi:10.1164/rccm.201011-1928OC
  • Landis SH, Mannino H, Mannino DM, Menezes AM, Davis JK. Continuing to confront COPD international patient survey: methods, COPD prevalence, and disease burden in 2012–2013. Int J Chron Obstruct Pulmon Dis. 2014;9:597–611. doi:10.2147/COPD.S61854
  • Hagstad S, Bjerg A, Ekerljung L, et al. Passive smoking exposure is associated with increased risk of COPD in never smokers. Chest. 2014;145(6):1298–1304. doi:10.1378/chest.13-1349
  • Sana A, Somda S, Meda N, Bouland C. Chronic obstructive pulmonary disease associated with biomass fuel use in women: a systematic review and meta-analysis. BMJ Open Respir Res. 2018;5(1):e000246. doi:10.1136/bmjresp-2017-000246
  • Bird Y, Moraros J, Mahmood R, Esmaeelzadeh S, Soe N. Prevalence and associated factors of COPD among aboriginal peoples in Canada: a cross- sectional study. Int J COPD. 2017;12:1915–1922. doi:10.2147/COPD.S138304
  • Grigsby M, Siddharthan T, Chowdhury MA, et al. Socioeconomic status and COPD among low- and middle-income countries. Int J Chron Obstruct Pulmon Dis. 2016;11:2497–2507. doi:10.2147/COPD.S111145
  • Fan JW, Wang N, Fang LW, Feng YJ, Wang BH. Awareness of knowledge about chronic obstructive pulmonary disease and related factors in residents aged 40 years and older in China, 2014. Chin J Epidemiol. 2018;39(5):586–592. doi:10.3760/cma.j.issn.0254-6450.2018.05.009
  • Zhou Y, Wang C, Yao W, et al. COPD in Chinese nonsmokers. Eur Respir J. 2009;33:509–518. doi:10.1183/09031936.00084408
  • Guillien A, Puyraveau M, Soumagne T, et al. Prevalence and risk factors for COPD in farmers: a cross-sectional controlled study. Eur Respir J. 2016;47(1):95–103. doi:10.1183/13993003.00153-2015
  • Landbo C, Prescott E, Lange P, Vestbo J, Almdal TP. Prognostic value of nutritional status in chronicobstructive pulmonary disease. Am J Respir Crit Care Med. 1999;160(6):1856–1861. doi:10.1164/ajrccm.160.6.9902115
  • Guo Y, Zhang T, Wang Z, et al. Body mass index and mortality in chronic obstructive pulmonary disease: a dose-response meta-analysis. Medicine. 2016;95(28):e4225. doi:10.1097/MD.0000000000004225
  • Brigham EP, Anderson JA, Brook RD, et al. Challenging the obesity paradox: extreme obesity and COPD mortality in the SUMMIT trial. ERJ Open Res. 2021;7(3):00902–2020. doi:10.1183/23120541.00902-2020
  • Hanson C, LeVan T. Obesity and chronic obstructive pulmonary disease: recent knowledge and future directions. Curr Opin Pulm Med. 2017;23(2):149–153. doi:10.1097/MCP.0000000000000354
  • Vestbo J, Prescott E, Almdal T, et al. Body mass, fat-free body mass, and prognosis in patients with chronic obstructive pulmonary disease from a random population sample: findings from the Copenhagen city heart study. Am J Respir Crit Care Med. 2006;173(1):79–83. doi:10.1164/rccm.200506-969OC
  • Siu AL, Bibbins-Domingo K, Grossman DC; US Preventive Task Force. Screening for chronic obstructive pulmonary disease: US preventive services task force recommendation statement. JAMA. 2016;315(13):1372–1377. doi:10.1001/jama.2016.2638
  • Bhatt SP, O’Conner GT. Screening for chronic obstructive pulmonary disease challenges and opportunities. JAMA. 2022;19(8):1267–1274. doi:10.1001/jama.2022.3823
  • Fortis S. Should we consider screening spirometry in individuals who are “asymptomatic”? Ann Am Thorac Soc. 2022;19(8):1268–1269. doi:10.1513/AnnalsATS.202205-374ED
  • Bednarek M, Maciejewski J, Wozniak M, Kuca P, Zielinski J. Prevalence, severity and un-derdiagnosis of COPD in the primary care setting. Thorax. 2008;63(5):402–407. doi:10.1136/thx.2007.085456
  • Mapel DW, Dalal AA, Blanchette CM, Petersen H, Ferguson G. Severity of COPD at initial spirometry-confirmed diagnosis: data from medical charts and administrative claims. Int J Chron Obstruct Pulmon Dis. 2016;6:573–581. doi:10.2147/COPD.S16975