Karen Walker-Bone, Melissa A Goodwin, Brent Bufton, Brett Andrew Davis, Henry Wong, Justin Harvey, Sue Barker, Elizabeth Chalker, Sonja Klebe, Sarita Prabhakaran, Fraser Jh Brims, Ewan MacFarlane, Geza Benke, Kathleen Mahoney, Timothy R Driscoll
{"title":"Mesothelioma Incidence rates in Australia since 1982: exploring age, period and cohort effects and future projections.","authors":"Karen Walker-Bone, Melissa A Goodwin, Brent Bufton, Brett Andrew Davis, Henry Wong, Justin Harvey, Sue Barker, Elizabeth Chalker, Sonja Klebe, Sarita Prabhakaran, Fraser Jh Brims, Ewan MacFarlane, Geza Benke, Kathleen Mahoney, Timothy R Driscoll","doi":"10.1158/1055-9965.EPI-24-1224","DOIUrl":null,"url":null,"abstract":"<p><p>Background Use of asbestos-containing products was banned in Australia in 2003. However, rates of new cases of mesothelioma, which has a very long latent period between exposure and disease, have continued to increase. The aim of this study was to investigate mesothelioma incidence in Australia by year of birth and age-period-cohort analysis and to develop projections of expected mesothelioma cases to 2034. Methods Data came from the Australian Cancer Database which provides complete national records of mesothelioma cases notified 1982-2020. Incidence rates were age-standardised to the 2001 Australian Standard Population to enable comparisons of the population across time. Age-period-cohort models were used to examine the temporal trends of incidence rates by age, calendar year and birth cohort. Projections for incidence rates of mesothelioma 2020-34 were estimated using Nordpred models. Results Graphs of age-standardised incidence rates of mesothelioma suggest a birth cohort effect and the age-period-cohort model confirmed this. There was a birth cohort effect in all cohorts born before 1960, strongest in cohorts born 1920-1949. Projection modelling to 2034 suggested that the age-standardised rates will continue to decline while crude incidence rates of mesothelioma will stabilise and then gradually decline, mostly among people aged 60-84 years. Conclusions The findings are consistent with the greatest risk of mesothelioma in Australia occurring in cohorts with the highest levels of historical cumulative occupational exposure, showing the value of a ban on asbestos. Impact The number of new cases of mesothelioma per year is not expected to decline until after 2030.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology Biomarkers & Prevention","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1055-9965.EPI-24-1224","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background Use of asbestos-containing products was banned in Australia in 2003. However, rates of new cases of mesothelioma, which has a very long latent period between exposure and disease, have continued to increase. The aim of this study was to investigate mesothelioma incidence in Australia by year of birth and age-period-cohort analysis and to develop projections of expected mesothelioma cases to 2034. Methods Data came from the Australian Cancer Database which provides complete national records of mesothelioma cases notified 1982-2020. Incidence rates were age-standardised to the 2001 Australian Standard Population to enable comparisons of the population across time. Age-period-cohort models were used to examine the temporal trends of incidence rates by age, calendar year and birth cohort. Projections for incidence rates of mesothelioma 2020-34 were estimated using Nordpred models. Results Graphs of age-standardised incidence rates of mesothelioma suggest a birth cohort effect and the age-period-cohort model confirmed this. There was a birth cohort effect in all cohorts born before 1960, strongest in cohorts born 1920-1949. Projection modelling to 2034 suggested that the age-standardised rates will continue to decline while crude incidence rates of mesothelioma will stabilise and then gradually decline, mostly among people aged 60-84 years. Conclusions The findings are consistent with the greatest risk of mesothelioma in Australia occurring in cohorts with the highest levels of historical cumulative occupational exposure, showing the value of a ban on asbestos. Impact The number of new cases of mesothelioma per year is not expected to decline until after 2030.
期刊介绍:
Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.