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ABSTRACT: Objective
To describe the approach underpinning a national project to estimate the numbers and proportions of cancers occurring in Australia in 2010 that are attributable to modifiable causal factors.Methods
We estimated the population attributable fraction (PAF) (or prevented fraction) of cancers associated with exposure to causal (or preventive) factors using standard formulae. Where possible, we also estimated the potential impact on cancer incidence resulting from changes in prevalence of exposure. Analyses were restricted to factors declared causal by international agencies: tobacco smoke; alcohol; solar radiation; infectious agents; obesity; insufficient physical activity; insufficient intakes of fruits, vegetables and fibre; red and processed meat; menopausal hormone therapy (MHT); oral contraceptive pill (OCP); and insufficient breast feeding. Separately, we estimated numbers of cancers prevented by: aspirin; sunscreen; MHT; and OCP use. We discuss assumptions pertaining to latent periods between exposure and cancer onset, choices of prevalence data and risk estimates, and approaches to sensitivity analyses.Results
Numbers and population attributable fractions of cancer are presented in accompanying papers.Conclusions
This is the first systematic assessment of population attributable fractions of cancer in Australia.
SUBMITTER: Whiteman DC
PROVIDER: S-EPMC4606764 | biostudies-literature | 2015 Oct
REPOSITORIES: biostudies-literature
Whiteman David C DC Webb Penelope M PM Green Adele C AC Neale Rachel E RE Fritschi Lin L Bain Christopher J CJ Parkin D Max DM Wilson Louise F LF Olsen Catherine M CM Nagle Christina M CM Pandeya Nirmala N Jordan Susan J SJ Antonsson Annika A Kendall Bradley J BJ Hughes Maria Celia B MC Ibiebele Torukiri I TI Miura Kyoko K Peters Susan S Carey Renee N RN
Australian and New Zealand journal of public health 20151001 5
<h4>Objective</h4>To describe the approach underpinning a national project to estimate the numbers and proportions of cancers occurring in Australia in 2010 that are attributable to modifiable causal factors.<h4>Methods</h4>We estimated the population attributable fraction (PAF) (or prevented fraction) of cancers associated with exposure to causal (or preventive) factors using standard formulae. Where possible, we also estimated the potential impact on cancer incidence resulting from changes in ...[more]