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Age-period-cohort analysis of lung cancer mortality in China and Australia from 1990 to 2019.
Wang, Ning; Xu, Zhiwei; Lui, Chi-Wai; Wang, Baohua; Hu, Wenbiao; Wu, Jing.
  • Wang N; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
  • Xu Z; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia.
  • Lui CW; School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
  • Wang B; School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
  • Hu W; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
  • Wu J; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia. w2.hu@qut.edu.au.
Sci Rep ; 12(1): 8410, 2022 05 19.
Article in English | MEDLINE | ID: covidwho-1864762
ABSTRACT
Lung cancer (LC) is the leading cause of cancer death in China and Australia, the countries with different socioenvironmental contexts in the Western Pacific Region. Comparing the age-period-cohort effect on LC mortality (LCM) between the two countries can help plan interventions and draw lessons for countries in the region. We collected LCM estimates between 1990 and 2019 from the GBD 2019. Age-period-cohort modelling was applied to compute the net drift, local drift, cross-sectional age curve, longitudinal age curve, and the rate ratios (RRs) of period and cohort. China had a higher LC age-standardized mortality rate than Australia in 2019 (men 58.10 [95% uncertainty interval (UI) 46.53, 70.89] vs. 30.13 [95% UI 27.88, 32.31]/100,000 population; women 22.86 [95% UI 18.52, 27.52] vs. 17.80 [95% UI 15.93, 19.34]/100,000 population). Period and cohort effects on LCM improved more markedly among Australian men (RR for period effect, from 1.47 [95% confidence interval (CI) 1.41, 1.53] to 0.79 [95% CI 0.75, 0.84]; RR for cohort effect, from 2.56 [95% CI 2.44, 2.68] to 0.36 [95% CI 0.11, 1.18]) and Chinese women (RR for period effect, from 1.06 [95% CI 1.01, 1.11] to 0.85 [95% CI 0.82, 0.89]; RR for cohort effect, from 0.71 [95% CI 0.65, 0.78] to 0.51 [95% CI 0.26, 1.03]) during the study period and birth cohort. The LCM in Chinese population aged 65 to 79 and Australian women aged 75 to 79 increased. Smoking and particulate matter (PM) contributed most to LCM in China, while smoking and occupational carcinogens contributed most in Australia. Decreasing period and cohort risks for LCM attributable to smoking and PM were more remarkable in Australia than in China. The LCM attributable to occupational carcinogens was higher in Australia than in China, particularly for those aged 60 to 79. Vigorous tobacco and PM control, which brought a substantial decline in LCM in Australia, may help reduce LCM in China. Australia should highlight LC prevention among people with occupational exposure. Chinese aged ≥ 65 and Australian women aged ≥ 75 should be the priorities for LC interventions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Particulate Matter / Lung Neoplasms Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Country/Region as subject: Asia / Oceania Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-12483-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Particulate Matter / Lung Neoplasms Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Country/Region as subject: Asia / Oceania Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-12483-z