Estimating the current and future cancer burden in Canada: methodological framework of the Canadian population attributable risk of cancer (ComPARe) study

被引：30

作者：

Brenner, Darren R. ^{[1
,2
,3
]}

Poirier, Abbey E. ^{[3
]}

Walter, Stephen D. ^{[4
]}

King, Will D. ^{[5
]}

Franco, Eduardo L. ^{[6
,7
]}

Demers, Paul A. ^{[8
]}

Villeneuve, Paul J. ^{[9
]}

Ruan, Yibing ^{[3
]}

Khandwala, Farah ^{[3
]}

Grevers, Xin ^{[3
]}

Nuttall, Robert ^{[10
]}

Smith, Leah ^{[10
]}

De, Prithwish ^{[11
]}

Volesky, Karena ^{[6
,7
]}

O'Sullivan, Dylan ^{[5
]}

Hystad, Perry ^{[12
]}

Friedenreich, Christine M. ^{[1
,2
,3
]}

机构：

[1] Univ Calgary, Cumming Sch Med, Dept Oncol, Calgary, AB, Canada

[2] Univ Calgary, Cumming Sch Med, Dept Community Hlth Sci, Calgary, AB, Canada

[3] Alberta Hlth Serv, Canc Control Alberta, Dept Canc Epidemiol & Prevent Res, Calgary, AB, Canada

[4] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, Canada

[5] Queens Univ, Dept Publ Hlth Sci, Kingston, ON, Canada

[6] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada

[7] McGill Univ, Dept Oncol, Montreal, PQ, Canada

[8] Canc Care Ontario, Occupat Canc Res Ctr, Toronto, ON, Canada

[9] Carleton Univ, Dept Hlth Sci, Ottawa, ON, Canada

[10] Canadian Canc Soc, Toronto, ON, Canada

[11] Canc Care Ontario, Toronto, ON, Canada

[12] Oregon State Univ, Coll Publ Hlth & Human Sci, Corvallis, OR 97331 USA

来源：

BMJ OPEN | 2018年 / 8卷 / 07期

关键词：

epidemiology; potential impact fraction; population attributable risk; cancer; risk factors; BODY-MASS INDEX; LUNG-CANCER; PHYSICAL INACTIVITY; TOBACCO SMOKING; EXCESS WEIGHT; AUSTRALIA; RADON; CONSUMPTION; FRANCE; MODELS;

D O I：

10.1136/bmjopen-2018-022378

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Introduction The Canadian Population Attributable Risk of Cancer project aims to quantify the number and proportion of cancer cases incident in Canada, now and projected to 2042, that could be prevented through changes in the prevalence of modifiable exposures associated with cancer. The broad risk factor categories of interest include tobacco, diet, energy imbalance, infectious diseases, hormonal therapies and environmental factors such as air pollution and residential radon. Methods and analysis Using a national network, we will use population-attributable risks (PAR) and potential impact fractions (PIF) to model both attributable (current) and avoidable (future) cancers. The latency periods and the temporal relationships between exposures and cancer diagnoses will be accounted for in the analyses. For PAR estimates, historical exposure prevalence data and the most recent provincial and national cancer incidence data will be used. For PIF estimates, we will model alternative or counterfactual' distributions of cancer risk factor exposures to assess how cancer incidence could be reduced under different scenarios of population exposure, projecting incidence to 2042. Dissemination The framework provided can be readily extended and applied to other populations or jurisdictions outside of Canada. An embedded knowledge translation and exchange component of this study with our Canadian Cancer Society partners will ensure that these findings are translated to cancer programmes and policies aimed at population-based cancer risk reduction strategies.

引用

页数：9

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