Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent

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Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent. / Soerjomataram, Isabelle; de Vries, Esther; Engholm, Gerda; Paludan-Müller, Georg; Brønnum-Hansen, Henrik; Storm, Hans H; Barendregt, Jan J.

In: European journal of cancer (Oxford, England : 1990), Vol. 46, No. 14, 01.09.2010, p. 2617-24.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Soerjomataram, I, de Vries, E, Engholm, G, Paludan-Müller, G, Brønnum-Hansen, H, Storm, HH & Barendregt, JJ 2010, 'Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent', European journal of cancer (Oxford, England : 1990), vol. 46, no. 14, pp. 2617-24. https://doi.org/10.1016/j.ejca.2010.07.051

APA

Soerjomataram, I., de Vries, E., Engholm, G., Paludan-Müller, G., Brønnum-Hansen, H., Storm, H. H., & Barendregt, J. J. (2010). Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent. European journal of cancer (Oxford, England : 1990), 46(14), 2617-24. https://doi.org/10.1016/j.ejca.2010.07.051

Vancouver

Soerjomataram I, de Vries E, Engholm G, Paludan-Müller G, Brønnum-Hansen H, Storm HH et al. Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent. European journal of cancer (Oxford, England : 1990). 2010 Sep 1;46(14):2617-24. https://doi.org/10.1016/j.ejca.2010.07.051

Author

Soerjomataram, Isabelle ; de Vries, Esther ; Engholm, Gerda ; Paludan-Müller, Georg ; Brønnum-Hansen, Henrik ; Storm, Hans H ; Barendregt, Jan J. / Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent. In: European journal of cancer (Oxford, England : 1990). 2010 ; Vol. 46, No. 14. pp. 2617-24.

Bibtex

@article{49dd5821325d466e9c3b1ba4ab6037b1,
title = "Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent",
abstract = "PURPOSE: Among the known risk factors, smoking is clearly related to the incidence of lung cancer and alcohol consumption is to breast cancer. In this manuscript we modelled the potential benefits of reductions in smoking or alcohol prevalence for the burden of these cancers. METHOD: We used Prevent v.3.01 to assess the changes in incidence as a result of risk factor changes. Incidence of lung and breast cancer until 2050 was predicted under two scenarios: ideal (total elimination of smoking and reduction of alcohol intake to maximum 1units/d for women) and optimistic (decreasing prevalence of risk factors because of a 10% increase in cigarette and alcohol beverage price, repeated every 5years). Danish data from the household surveys, cancer registration and Eurostat were used. RESULTS: Up to 49% less new lung cancer cases can be expected in 2050 if smoking were to be completely eliminated. Five-yearly 10% price increases may prevent 521 new lung cancer cases in 2050 (21% less cases). An intervention that immediately reduces population alcohol consumption to the recommended level (below 12g/d) may lower breast cancer by 7%, preventing 445 out of the 6060 expected new cases in 2050. Five-yearly 10% price increases in alcoholic beverages achieved a reduction of half as expected by the ideal scenario, i.e. 4% (262) preventable cases in 2050. CONCLUSIONS: The future burden of lung and breast cancer could be markedly reduced by intervening in their risk factors. Prevent illustrates the benefit of interventions and may serve as guidance in political decision-making.",
author = "Isabelle Soerjomataram and {de Vries}, Esther and Gerda Engholm and Georg Paludan-M{\"u}ller and Henrik Br{\o}nnum-Hansen and Storm, {Hans H} and Barendregt, {Jan J}",
note = "Copyright {\textcopyright} 2010 Elsevier Ltd. All rights reserved.",
year = "2010",
month = sep,
day = "1",
doi = "10.1016/j.ejca.2010.07.051",
language = "English",
volume = "46",
pages = "2617--24",
journal = "European Journal of Cancer, Supplement",
issn = "0959-8049",
publisher = "Pergamon",
number = "14",

}

RIS

TY - JOUR

T1 - Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent

AU - Soerjomataram, Isabelle

AU - de Vries, Esther

AU - Engholm, Gerda

AU - Paludan-Müller, Georg

AU - Brønnum-Hansen, Henrik

AU - Storm, Hans H

AU - Barendregt, Jan J

N1 - Copyright © 2010 Elsevier Ltd. All rights reserved.

PY - 2010/9/1

Y1 - 2010/9/1

N2 - PURPOSE: Among the known risk factors, smoking is clearly related to the incidence of lung cancer and alcohol consumption is to breast cancer. In this manuscript we modelled the potential benefits of reductions in smoking or alcohol prevalence for the burden of these cancers. METHOD: We used Prevent v.3.01 to assess the changes in incidence as a result of risk factor changes. Incidence of lung and breast cancer until 2050 was predicted under two scenarios: ideal (total elimination of smoking and reduction of alcohol intake to maximum 1units/d for women) and optimistic (decreasing prevalence of risk factors because of a 10% increase in cigarette and alcohol beverage price, repeated every 5years). Danish data from the household surveys, cancer registration and Eurostat were used. RESULTS: Up to 49% less new lung cancer cases can be expected in 2050 if smoking were to be completely eliminated. Five-yearly 10% price increases may prevent 521 new lung cancer cases in 2050 (21% less cases). An intervention that immediately reduces population alcohol consumption to the recommended level (below 12g/d) may lower breast cancer by 7%, preventing 445 out of the 6060 expected new cases in 2050. Five-yearly 10% price increases in alcoholic beverages achieved a reduction of half as expected by the ideal scenario, i.e. 4% (262) preventable cases in 2050. CONCLUSIONS: The future burden of lung and breast cancer could be markedly reduced by intervening in their risk factors. Prevent illustrates the benefit of interventions and may serve as guidance in political decision-making.

AB - PURPOSE: Among the known risk factors, smoking is clearly related to the incidence of lung cancer and alcohol consumption is to breast cancer. In this manuscript we modelled the potential benefits of reductions in smoking or alcohol prevalence for the burden of these cancers. METHOD: We used Prevent v.3.01 to assess the changes in incidence as a result of risk factor changes. Incidence of lung and breast cancer until 2050 was predicted under two scenarios: ideal (total elimination of smoking and reduction of alcohol intake to maximum 1units/d for women) and optimistic (decreasing prevalence of risk factors because of a 10% increase in cigarette and alcohol beverage price, repeated every 5years). Danish data from the household surveys, cancer registration and Eurostat were used. RESULTS: Up to 49% less new lung cancer cases can be expected in 2050 if smoking were to be completely eliminated. Five-yearly 10% price increases may prevent 521 new lung cancer cases in 2050 (21% less cases). An intervention that immediately reduces population alcohol consumption to the recommended level (below 12g/d) may lower breast cancer by 7%, preventing 445 out of the 6060 expected new cases in 2050. Five-yearly 10% price increases in alcoholic beverages achieved a reduction of half as expected by the ideal scenario, i.e. 4% (262) preventable cases in 2050. CONCLUSIONS: The future burden of lung and breast cancer could be markedly reduced by intervening in their risk factors. Prevent illustrates the benefit of interventions and may serve as guidance in political decision-making.

U2 - 10.1016/j.ejca.2010.07.051

DO - 10.1016/j.ejca.2010.07.051

M3 - Journal article

C2 - 20843490

VL - 46

SP - 2617

EP - 2624

JO - European Journal of Cancer, Supplement

JF - European Journal of Cancer, Supplement

SN - 0959-8049

IS - 14

ER -

ID: 37851553