RESUMO
Objective: To analyze the mortality trend and characteristics of chronic obstructive pulmonary disease (COPD) among residents in China from 2004 to 2020. Methods: From the area, gender, region, and age dimensions, the Joinpoint regression model was used to analyze the trend of COPD mortality rate from 2004 to 2020, extracted from the China Death Surveillance Dataset. Results: From 2004 to 2020, the mortality rate and age-adjusted mortality rate of COPD showed a downward trend (AAPC=-3.68%, P<0.001; AAPC=-7.27%, P<0.001), which were consistent with urban and rural subpopulations (mortality rate: AAPC=-3.62%, P=0.009, AAPC=-3.23%, P=0.014; age-adjusted mortality rate: AAPC=-7.26%, P<0.001, AAPC=-6.78%, P<0.001). The mortality rate of COPD in rural was higher than that of urban subpopulations (P<0.001). Also, the mortality rate and age-adjusted mortality rate of COPD showed a downward trend in males and females (mortality rate: AAPC=-3.00%, P<0.001, AAPC=-4.37%, P<0.001; age-adjusted mortality rate: AAPC=-6.73%, P<0.001, AAPC=-8.11%, P<0.001), and the COPD mortality rate for male was generally higher than female (P<0.001). Meanwhile, the mortality rate of COPD in eastern, central and western regions also showed a downward trend (AAPC=-3.87%, P<0.001; AAPC=-3.12%, P<0.001; AAPC=-1.37%, P=0.001), and western regions were significantly higher than that in central (P<0.001) and eastern (P<0.001) regions. The mortality rate of COPD in the age group of Chinese people showed a downward trend in<45, 45-59, and≥60 years groups (AAPC=-9.48%, P<0.001; AAPC=-9.03%, P<0.001; AAPC=-5.91%, P<0.001). Among them,≥60 years groups was significantly higher than that in<45 (P<0.001) and 45-59 (P<0.001) years groups, and the decline rate was slowest. Conclusion: In China, the mortality rate of COPD decreases from 2004 to 2020, and more efforts are needed to reduce COPD mortality, especially in western regions, rural populations, males and the elderly.
Assuntos
Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Adulto , Povo Asiático , China/epidemiologia , Mortalidade , Doença Pulmonar Obstrutiva Crônica , População Rural , População UrbanaRESUMO
Objective: To analyze the mortality trend and characteristics of chronic obstructive pulmonary disease (COPD) among residents in China from 2004 to 2020. Methods: From the area, gender, region, and age dimensions, the Joinpoint regression model was used to analyze the trend of COPD mortality rate from 2004 to 2020, extracted from the China Death Surveillance Dataset. Results: From 2004 to 2020, the mortality rate and age-adjusted mortality rate of COPD showed a downward trend (AAPC=-3.68%, P<0.001; AAPC=-7.27%, P<0.001), which were consistent with urban and rural subpopulations (mortality rate: AAPC=-3.62%, P=0.009, AAPC=-3.23%, P=0.014; age-adjusted mortality rate: AAPC=-7.26%, P<0.001, AAPC=-6.78%, P<0.001). The mortality rate of COPD in rural was higher than that of urban subpopulations (P<0.001). Also, the mortality rate and age-adjusted mortality rate of COPD showed a downward trend in males and females (mortality rate: AAPC=-3.00%, P<0.001, AAPC=-4.37%, P<0.001; age-adjusted mortality rate: AAPC=-6.73%, P<0.001, AAPC=-8.11%, P<0.001), and the COPD mortality rate for male was generally higher than female (P<0.001). Meanwhile, the mortality rate of COPD in eastern, central and western regions also showed a downward trend (AAPC=-3.87%, P<0.001; AAPC=-3.12%, P<0.001; AAPC=-1.37%, P=0.001), and western regions were significantly higher than that in central (P<0.001) and eastern (P<0.001) regions. The mortality rate of COPD in the age group of Chinese people showed a downward trend in<45, 45-59, and≥60 years groups (AAPC=-9.48%, P<0.001; AAPC=-9.03%, P<0.001; AAPC=-5.91%, P<0.001). Among them,≥60 years groups was significantly higher than that in<45 (P<0.001) and 45-59 (P<0.001) years groups, and the decline rate was slowest. Conclusion: In China, the mortality rate of COPD decreases from 2004 to 2020, and more efforts are needed to reduce COPD mortality, especially in western regions, rural populations, males and the elderly.