Literature DB >> 35018232

Assessment of age, period, and cohort effects of lung cancer incidence in Hong Kong and projection up to 2030 based on changing demographics.

Jianqiang Du1, Haifeng Sun2, Yuying Sun3, Jianfei Du4, Wangnan Cao5, Shengzhi Sun6.   

Abstract

The burden of lung cancer in Hong Kong continues to rise. We analyzed trends in lung cancer incidence and associations with age, period, and cohort from 1985 to 2019, made projections up to 2030 and examined the drivers of lung cancer incidence. We used age-period-cohort modeling to estimate age, period, and cohort effects on lung cancer incidence rates in Hong Kong between 1985 and 2019. We projected lung cancer incidence in Hong Kong from 2020 to 2030 using Bayesian age-period-cohort analysis with an integrated nested Laplace approximation. We decomposed changes in the number of lung cancer cases into population growth, population aging, and epidemiologic changes. From 1985 to 2019, the number of lung cancer incident cases in Hong Kong continued to rise, yet the age-standardized incidence rates have declined for both sexes while have fluctuated for females over the past two decades. The overall annual percentage change from 1985 to 2019 was -2.29 (95% CI, -2.53 to -2.05) for males and -0.86 (95% CI, -1.06 to -0.65) for females. Age-specific annual percentages for both sexes showed a decreasing trend in all age groups and were more pronounced for females older than 65 years and males younger than 65 years. Period effects for both sexes showed a similar monotonic downward pattern, with the downward trend slowing for females after 2000. The cohort effect declined monotonically for males and started to plateau for females after the 1945 birth cohort. It was projected that the incident cases of lung cancer in Hong Kong would continue to increase, with 4,435 male cases and 3,561 female cases in 2030. Demographic decomposition suggested that population growth and population aging play an important role in the change of lung cancer cases. Much progress has been made in reducing the incidence of lung cancer in Hong Kong, but this has been offset by demographic changes that will continue to increase the incident cases of lung cancer in Hong Kong, especially among females. There is an urgent need for continued public health policies and clinical programs for risk factor control and necessary screening. AJCR
Copyright © 2021.

Entities:  

Keywords:  Hong Kong; Lung cancer; age-period-cohort analysis; decomposition; projection

Year:  2021        PMID: 35018232      PMCID: PMC8727798     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  32 in total

1.  The epidemiology of cigarette smoking in Hong Kong Chinese women.

Authors:  E M C Lau; P Lee; H Lynn; A Sham; J Woo
Journal:  Prev Med       Date:  2003-11       Impact factor: 4.018

2.  Statistical modeling and projections of lung cancer mortality in 4 industrialized countries.

Authors:  Kenji Shibuya; Mie Inoue; Alan D Lopez
Journal:  Int J Cancer       Date:  2005-11-10       Impact factor: 7.396

3.  Projecting the future burden of cancer: Bayesian age-period-cohort analysis with integrated nested Laplace approximations.

Authors:  Andrea Riebler; Leonhard Held
Journal:  Biom J       Date:  2017-01-31       Impact factor: 2.207

4.  A web tool for age-period-cohort analysis of cancer incidence and mortality rates.

Authors:  Philip S Rosenberg; David P Check; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-08-21       Impact factor: 4.254

5.  Risk factors associated with lung cancer in Hong Kong.

Authors:  Moira Chan-Yeung; L C Koo; J C-M Ho; K W-T Tsang; W-S Chau; S-W Chiu; M S-M Ip; W-K Lam
Journal:  Lung Cancer       Date:  2003-05       Impact factor: 5.705

6.  Age-Period-Cohort Analysis of Stroke Mortality in China: Data From the Global Burden of Disease Study 2013.

Authors:  Zhenkun Wang; Songbo Hu; Shuping Sang; Lisha Luo; Chuanhua Yu
Journal:  Stroke       Date:  2016-12-13       Impact factor: 7.914

Review 7.  Lung Cancer Statistics.

Authors:  Lindsey A Torre; Rebecca L Siegel; Ahmedin Jemal
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

8.  Trends and age-period-cohort analysis of upper aerodigestive tract and stomach cancer mortality in Lithuania, 1987-2016.

Authors:  I Kuzmickiene; R Everatt
Journal:  Public Health       Date:  2021-06-18       Impact factor: 2.427

9.  Population ageing and mortality during 1990-2017: A global decomposition analysis.

Authors:  Xunjie Cheng; Yang Yang; David C Schwebel; Zuyun Liu; Li Li; Peixia Cheng; Peishan Ning; Guoqing Hu
Journal:  PLoS Med       Date:  2020-06-08       Impact factor: 11.069

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