Lung cancer in South Africa: a forecast to 2025 based on smoking prevalence data
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Lung cancer in South Africa: a forecast to 2025 based on smoking prevalence data. / Winkler, Volker; Mangolo, Nosimanana J; Becher, Heiko.
in: BMJ OPEN, Jahrgang 5, Nr. 3, 2015, S. Art. e006993.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Lung cancer in South Africa: a forecast to 2025 based on smoking prevalence data
AU - Winkler, Volker
AU - Mangolo, Nosimanana J
AU - Becher, Heiko
N1 - Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
PY - 2015
Y1 - 2015
N2 - OBJECTIVE: This study aims to forecast lung cancer mortality with respect to recent changes in smoking prevalence and compares the results to estimates from GLOBOCAN and the Global Burden of Disease study.SETTING: An established epidemiological model is applied to detailed smoking prevalence data from South Africa to estimate lung cancer mortality from 2010 to 2025.PARTICIPANTS: Data from the South Africa Demographic and Health Survey conducted in 2003 was analysed by sex and ethnic group, and combined with longitudinal estimates on smoking prevalence from 1980 to 2010.PRIMARY AND SECONDARY OUTCOME MEASURES: Results provide detailed data on tobacco smoking behaviour by age, sex and ethnic group as well as modelled age-adjusted lung cancer mortality and number of yearly lung cancer deaths.RESULTS: From 2010 to 2025, a decrease in age-adjusted lung cancer mortality is shown from 17.1 to 14.1 among men; whereas rates were stable around 7.2 among women. As a consequence, the estimated number of yearly lung cancer deaths is expected to increase slightly for men and more for women. With respect to ethnic groups, male mortality is expected to be highest for Asians and lowest for blacks. Female rates were lowest for Asians and highest for whites and for coloured.CONCLUSIONS: Mortality estimates of this study are close to the WHO mortality database and to Global Burden of Disease estimates for 2010, but significantly lower compared with GLOBOCAN estimates. In conclusion, our study demonstrates the impact of demographic changes and the positive effects of antismoking policy on lung cancer mortality in South Africa. Results may help decision makers to further improve smoking control.
AB - OBJECTIVE: This study aims to forecast lung cancer mortality with respect to recent changes in smoking prevalence and compares the results to estimates from GLOBOCAN and the Global Burden of Disease study.SETTING: An established epidemiological model is applied to detailed smoking prevalence data from South Africa to estimate lung cancer mortality from 2010 to 2025.PARTICIPANTS: Data from the South Africa Demographic and Health Survey conducted in 2003 was analysed by sex and ethnic group, and combined with longitudinal estimates on smoking prevalence from 1980 to 2010.PRIMARY AND SECONDARY OUTCOME MEASURES: Results provide detailed data on tobacco smoking behaviour by age, sex and ethnic group as well as modelled age-adjusted lung cancer mortality and number of yearly lung cancer deaths.RESULTS: From 2010 to 2025, a decrease in age-adjusted lung cancer mortality is shown from 17.1 to 14.1 among men; whereas rates were stable around 7.2 among women. As a consequence, the estimated number of yearly lung cancer deaths is expected to increase slightly for men and more for women. With respect to ethnic groups, male mortality is expected to be highest for Asians and lowest for blacks. Female rates were lowest for Asians and highest for whites and for coloured.CONCLUSIONS: Mortality estimates of this study are close to the WHO mortality database and to Global Burden of Disease estimates for 2010, but significantly lower compared with GLOBOCAN estimates. In conclusion, our study demonstrates the impact of demographic changes and the positive effects of antismoking policy on lung cancer mortality in South Africa. Results may help decision makers to further improve smoking control.
KW - Adolescent
KW - Adult
KW - African Continental Ancestry Group
KW - Age Factors
KW - Aged
KW - Asian Continental Ancestry Group
KW - European Continental Ancestry Group
KW - Female
KW - Forecasting
KW - Health Surveys
KW - Humans
KW - Lung Neoplasms
KW - Male
KW - Middle Aged
KW - Prevalence
KW - Sex Factors
KW - Smoking
KW - South Africa
KW - Young Adult
U2 - 10.1136/bmjopen-2014-006993
DO - 10.1136/bmjopen-2014-006993
M3 - SCORING: Journal article
C2 - 25783426
VL - 5
SP - Art. e006993
JO - BMJ OPEN
JF - BMJ OPEN
SN - 2044-6055
IS - 3
ER -