Literature DB >> 35916964

Gender disparities in incidence and projections of lung cancer in China and the United States from 1978 to 2032: an age-period-cohort analysis.

Min Jiang1, Cairong Zhu2, Minghan Xu3, Mandi Li3, Jiao Pei3,4, Chenyao Wu3, Lin Jiang3.   

Abstract

PURPOSE: Lung cancer incidences tend to be higher among males than females in both China and the United States, yet secular incidence patterns are different due to distinct population and environmental exposures. We examined long-term and future trends of lung cancer incidence, as well as the associations of age, period, and cohort effects with gender disparities.
METHODS: Using data from the Cancer Incidence in Five Continents from 1978 to 2012, we calculated age-standardized, age-specific incidence, and male-to-female incidence rate ratios (IRR), and conducted an age-period-cohort analysis. The average annual percentage change (AAPC) of the trends was obtained by Joinpoint Regression. Bayesian age-period-cohort analysis was also conducted to project incidences to 2032.
RESULTS: In China, age-standardized incidence revealed a decreasing trend among males, but showed increasing trends among the younger age groups (30-54 years) in females. Age-standardized incidence rates of males decreased but remained stable among females from 1972 to 2012 in the United States. Male-to-female incidence rate ratios narrowed in both countries and reversed among younger birth cohorts in the United States. Gender disparities are expected to continue to diminish in both countries, and incidence among females appears to exceed that of males in the United States by around 2023-2027.
CONCLUSION: Gender disparities in lung cancer incidence persist and will continue into the future in both countries, but our findings suggested that smoking may play different roles in gender disparities in lung cancer incidence between the two countries. Further population-based epidemiological studies among females in China are imperative.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Age-period-cohort model; Birth Cohort analysis; Incidence rate; Lung cancer

Mesh:

Year:  2022        PMID: 35916964     DOI: 10.1007/s10552-022-01597-4

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.532


  41 in total

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Journal:  Stat Med       Date:  1998-06-30       Impact factor: 2.373

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Journal:  Biom J       Date:  2017-01-31       Impact factor: 2.207

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Authors:  Patricia de Groot; Reginald F Munden
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Authors:  Jack Siemiatycki; Igor Karp; Marie-Pierre Sylvestre; Javier Pintos
Journal:  Am J Public Health       Date:  2014-06-12       Impact factor: 9.308

8.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Authors:  Hyuna Sung; Jacques Ferlay; Rebecca L Siegel; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  CA Cancer J Clin       Date:  2021-02-04       Impact factor: 508.702

9.  Evaluation on the incidence, mortality and tendency of lung cancer in China.

Authors:  Wanqing Chen; Siwei Zhang; Xiaonong Zou
Journal:  Thorac Cancer       Date:  2010-05       Impact factor: 3.500

10.  Bayesian age-period-cohort prediction of lung cancer incidence in China.

Authors:  Wan-Qing Chen; Rong-Shou Zheng; Hong-Mei Zeng
Journal:  Thorac Cancer       Date:  2011-11       Impact factor: 3.500

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