17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Cancers in Australia in 2010 attributable to the consumption of red and processed meat

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          To estimate the proportion and numbers of cancers in Australia in 2010 attributable to consuming red/processed meat.

          Methods

          We estimated the population attributable fraction (PAF) for cancers causally associated with red/processed meat consumption (colon, rectum) using standard formulae incorporating prevalence of consumption (1995 National Nutrition Survey), relative risks associated with consumption and cancer incidence. We also estimated the proportion change in cancer incidence (potential impact fraction [PIF]) that might have occurred under two hypothetical interventions whereby Australian adults reduced their consumption of red/processed meat from prevailing levels to ≤100 g or ≤65 g per day, respectively.

          Results

          An estimated 2,614 cases (18%) of colorectal cancer occurring in Australians in 2010 were attributable to red/processed meat consumption (16% of colon cancers; 23% of rectal cancers). We estimated that if all Australian adults had consumed ≤65 g/day or ≤100 g/day of red/processed meat, then the incidence of colorectal cancer would have been 5.4% (798 cancers) or 1.4% (204 cancers) lower, respectively.

          Conclusions

          About one in six colorectal cancers in Australians in 2010 were attributable to red/processed meat consumption.

          Implications

          Reducing red/processed meat intake may reduce colorectal cancer incidence, but must be balanced against nutritional benefits of modest lean meat consumption.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: not found
          • Article: not found

          Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective,

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Australian dietary guidelines

            (2013)
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Categorical versus continuous risk factors and the calculation of potential impact fractions.

              The potential impact fraction is a measure of effect that calculates the proportional change in disease risk after a change in the exposure of a related risk factor. Potential impact fractions are increasingly used to calculate attributable fractions when the lowest exposure is non-zero. Risk-factor exposure can be expressed as a categorical or a continuous variable. For a categorical risk factor, a change in risk-factor exposure can be expressed as a change in the proportion of the population in each category ('proportions shift'). For a continuous risk factor, the change is expressed as a change in its parameters ('distribution shift'). A third method ('RR shift') takes elements of both the categorical and the continuous approach. We compare the three calculation methods using hypothetical data on BMI and an intervention that affects the obese category. The 'proportion shift' calculation produces non-linear artefacts and is best avoided. The 'RR shift' and 'distribution shift' calculation require the estimation of an RR function to describe excess risk, but perform much better. The 'proportion shift' calculation is best avoided. The 'RR shift' and 'distribution shift' calculation produce virtually the same results. For evaluating high-risk strategies, the 'RR shift' calculation is the simplest and therefore preferred. The 'distribution shift' is best suited for evaluating population strategies.
                Bookmark

                Author and article information

                Journal
                Aust N Z J Public Health
                Aust N Z J Public Health
                azph
                Australian and New Zealand Journal of Public Health
                John Wiley & Sons, Ltd (Chichester, UK )
                1326-0200
                1753-6405
                October 2015
                06 October 2015
                : 39
                : 5
                : 429-433
                Affiliations
                [1 ]QIMR Berghofer Medical Research Institute Queensland
                [2 ]School of Public Health, The University of Queensland
                [3 ]National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University Australian Capital Territory
                Author notes
                Correspondence to: Professor David C. Whiteman, Cancer Control Group, QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane and Women's Hospital, Queensland 4029; e-mail: david.whiteman@ 123456qimrberghofer.edu.au

                The authors have stated they have no conflict of interest.

                Article
                10.1111/1753-6405.12450
                4606774
                26437727
                865726af-6042-4591-a661-66d7a39f7a03
                © 2015 The Authors

                This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

                History
                : March 2015
                : April 2015
                : May 2015
                Categories
                Cancers in Australia in 2010

                population attributable fraction,cancer,risk factor,red/processed meat,potential impact fraction

                Comments

                Comment on this article