IDEAS home Printed from https://ideas.repec.org/p/hal/pseptp/halshs-03238978.html
   My bibliography  Save this paper

Modelling the number of avoidable new cancer cases in France attributable to alcohol consumption by following official recommendations: a simulation study

Author

Listed:
  • Yan Ren

    (Université Sorbonne Paris Nord)

  • Earl Chase

    (Université Sorbonne Paris Nord)

  • Tania d'Almeida

    (Université Sorbonne Paris Nord)

  • Julien Allègre

    (Université Sorbonne Paris Nord)

  • Paule Latino‐martel

    (Université Sorbonne Paris Nord)

  • Valérie Deschamps

    (Santé publique France - French National Public Health Agency [Saint-Maurice, France])

  • Pierre Arwidson

    (Santé publique France - French National Public Health Agency [Saint-Maurice, France])

  • Fabrice Etilé

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Serge Hercberg

    (Université Sorbonne Paris Nord)

  • Mathilde Touvier

    (Université Sorbonne Paris Nord)

  • Chantal Julia

    (Université Sorbonne Paris Nord)

Abstract

Aims To predict the effects of perfect adherence to the French alcohol consumption guidelines, a maximum of 10 standard alcoholic drinks per week with no more than two standard alcoholic drinks per day, during a 36-year period (2014–50). Design This simulation study is an adaption of the Sheffield Alcohol Policy Model. The dose–response relationship between alcohol consumption and alcohol-attributable cancer risks was defined by cancer site-specific risk functions, each modelled as a continuous risk. These estimates were used to compute the potential impact fraction (PIF) associated with alcohol consumption by cancer site. Setting The French general adult population during a 36-year period (2014–50). Participants For the baseline scenario, the current distribution of consumption levels, the counterfactual scenario and perfect adherence to the French alcohol consumption guidelines, we generated for each gender and age group 1000 randomly distributed alcohol consumption values from calibrated group-specific gamma distribution. Measurements The predicted number of new cancer cases among men and women in France between 2015 and 2050 that could have been prevented by following the French government's alcohol consumption guidelines. Findings The simulation predicted that perfect adherence to the French government's alcohol consumption guidelines would prevent, on average, an estimated 15 952 cancer cases per year after the PIF reached its full effect, which would have represented 4.5% of new cancer cases in 2015. The number of averted cancer cases over the study period were highest for oral cavity, oropharynx and hypopharynx cancer (respectively, 118 462, 95% CI = 113 803–123 022 and 11 167, 95% CI = 10 149–12 229] for men and women; liver and intrahepatic bile ducts cancer (123 447, 95% CI = 112 581–133 404 and 2825, 95% CI = 2208,4095); colorectal cancer (89 859, 95% CI = 84 651–95 355 and 12 847, 95% CI = 11 545–14 245); and female breast cancer (61 649, 95% CI = 56 330–67 452). Conclusion This simulation study of the French general population predicted that perfect adherence to the French government's alcohol consumption guidelines (no more than 10 standard alcoholic drinks per week and two per day) would prevent almost 16 000 cancer cases per year.

Suggested Citation

  • Yan Ren & Earl Chase & Tania d'Almeida & Julien Allègre & Paule Latino‐martel & Valérie Deschamps & Pierre Arwidson & Fabrice Etilé & Serge Hercberg & Mathilde Touvier & Chantal Julia, 2021. "Modelling the number of avoidable new cancer cases in France attributable to alcohol consumption by following official recommendations: a simulation study," PSE-Ecole d'économie de Paris (Postprint) halshs-03238978, HAL.
  • Handle: RePEc:hal:pseptp:halshs-03238978
    DOI: 10.1111/add.15426
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:pseptp:halshs-03238978. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Caroline Bauer (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.