Mesothelioma Incidence rates in Australia since 1982: exploring age, period and cohort effects and future projections.

IF 3.7 3区 医学 Q2 ONCOLOGY
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
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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.

1982年以来澳大利亚的间皮瘤发病率:探讨年龄、时期和队列影响及未来预测。
2003年,澳大利亚禁止使用含石棉产品。然而,间皮瘤的新病例率继续增加,间皮瘤在接触和发病之间有很长的潜伏期。本研究的目的是通过出生年份和年龄阶段的队列分析来调查澳大利亚的间皮瘤发病率,并预测到2034年间皮瘤的预期病例。方法数据来自澳大利亚癌症数据库,该数据库提供1982-2020年通报的间皮瘤病例的完整全国记录。发病率按2001年澳大利亚标准人口进行年龄标准化,以便对不同时期的人口进行比较。使用年龄-时期-队列模型来检查按年龄、日历年和出生队列划分的发病率的时间趋势。使用Nordpred模型估计2020-34年间皮瘤的发病率预测。结果年龄标准化间皮瘤发病率图表显示出生队列效应,年龄-时期-队列模型证实了这一点。在1960年以前出生的所有队列中都存在出生队列效应,在1920-1949年出生的队列中最强。至2034年的预测模型显示,年龄标准化比率将继续下降,而间皮瘤的粗发病率将稳定,然后逐渐下降,主要发生在60至84岁的人群中。结论:在澳大利亚,间皮瘤的最高风险发生在历史累积职业暴露水平最高的人群中,这一发现与此一致,显示了石棉禁令的价值。在2030年之前,每年的间皮瘤新病例数预计不会下降。
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来源期刊
Cancer Epidemiology Biomarkers & Prevention
Cancer Epidemiology Biomarkers & Prevention 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
2.60%
发文量
538
审稿时长
1.6 months
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.
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