Literature DB >> 19710042

Understanding sociohistorical imprint on cancer risk by age-period-cohort decomposition in Hong Kong.

Irene O L Wong1, Benjamin J Cowling, Stephen C K Law, Oscar W K Mang, C Mary Schooling, Gabriel M Leung.   

Abstract

BACKGROUND: Research on trends in cancer incidence has usually examined single sites in populations that long ago completed the economic transition. The trends in 11 cancers in three groups in the recently transitioned Hong Kong Chinese population were examined to delineate the effects of economic transition and provide generalised aetiological insights.
METHODS: Sex-specific Poisson models were fitted to cancer incidence in Hong Kong (1974-2003) to examine age, period and birth cohort effects. Cancers were grouped as: hormonally modulated (including breast, endometrium, ovary and prostate), infection-related (cervix, liver, nasopharynx, lymphoma and stomach) and lifestyle-related (colorectum and lung).
RESULTS: Age-standardised incidence of hormonally modulated female cancers increased for the first generation (women born approximately 1940) to experience puberty in the transitioning environment of Hong Kong. Prostate cancer incidence increased, despite a downturn for the first generation growing up in Hong Kong. Incidence of infection-related cancers decreased, mainly due to birth cohort effects; coinciding with birth for liver cancer and lymphoma, with reaching adulthood for cervical and male nasopharyngeal cancers, and with a generation for stomach cancer. Lifestyle-related cancers had sex-specific declines by birth cohort.
CONCLUSION: With economic transition and the associated lifestyle changes, environmentally determined levels of pubertal female hormones may drive intergenerational increases in hormonally related female cancers. Economic development, via improved living conditions, may also reduce infection-related cancers, possibly including prostate cancer; however, the effects depend on transmission dynamics and perhaps specific public health initiatives. In traditional societies, males may benefit from economic development sooner than females.

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Year:  2009        PMID: 19710042     DOI: 10.1136/jech.2008.080788

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  9 in total

1.  Cohort Profile: Hong Kong Department of Health Elderly Health Service Cohort.

Authors:  C M Schooling; W M Chan; S L Leung; T H Lam; S Y Lee; C Shen; J Y Leung; G M Leung
Journal:  Int J Epidemiol       Date:  2014-12-05       Impact factor: 7.196

2.  Cancer time trend in a population following a socio-economic transition: results of age-period-cohort analysis.

Authors:  Giovanni Mario Pes; Federica Cocco; Stefano Bibbò; Giuseppina Marras; Maria Pina Dore
Journal:  Int J Public Health       Date:  2017-02-23       Impact factor: 3.380

3.  Opportunities During Early Life for Cancer Prevention: Highlights From a Series of Virtual Meetings With Experts.

Authors:  Dawn M Holman; Natasha D Buchanan
Journal:  Pediatrics       Date:  2016-11       Impact factor: 7.124

4.  Trends in mortality from septicaemia and pneumonia with economic development: an age-period-cohort analysis.

Authors:  Irene O L Wong; Benjamin J Cowling; Gabriel M Leung; C Mary Schooling
Journal:  PLoS One       Date:  2012-06-14       Impact factor: 3.240

5.  Alcohol tax policy and related mortality. An age-period-cohort analysis of a rapidly developed Chinese population, 1981-2010.

Authors:  Roger Y Chung; Jean H Kim; Benjamin H Yip; Samuel Y S Wong; Martin C S Wong; Vincent C H Chung; Sian M Griffiths
Journal:  PLoS One       Date:  2014-08-25       Impact factor: 3.240

6.  Upper gastrointestinal cancer burden in Hebei Province, China: A population-based study.

Authors:  Dao-Juan Li; Di Liang; Guo-Hui Song; Yong-Wei Li; Deng-Gui Wen; Jing Jin; Yu-Tong He
Journal:  World J Gastroenterol       Date:  2017-04-14       Impact factor: 5.742

7.  Trends of Esophageal Cancer Mortality in Rural China from 1989 to 2013: An Age-Period-Cohort Analysis.

Authors:  Xudong Gao; Zhenkun Wang; Chan Kong; Fen Yang; Ying Wang; Xiaodong Tan
Journal:  Int J Environ Res Public Health       Date:  2017-02-23       Impact factor: 3.390

8.  Global comparison of cancer outcomes: standardization and correlation with healthcare expenditures.

Authors:  Horace C W Choi; Ka-On Lam; Herbert H M Pang; Steven K C Tsang; Roger K C Ngan; Anne W M Lee
Journal:  BMC Public Health       Date:  2019-08-07       Impact factor: 3.295

9.  All-Cause and Cancer Mortality Trends in Macheng, China (1984⁻2013): An Age-Period-Cohort Analysis.

Authors:  Chunhui Li; Songbo Hu; Chuanhua Yu
Journal:  Int J Environ Res Public Health       Date:  2018-09-20       Impact factor: 3.390

  9 in total

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