Potential impact of reduced tobacco use on life and health expectancies in Belgium

Abstract Objectives We investigated the potential impact of reduced tobacco use scenarios on total life expectancy and health expectancies, i.e., healthy life years and unhealthy life years. Methods Data from the Belgian Health Interview Survey 2013 were used to estimate smoking and disability prevalence. Disability was based on the Global Activity Limitation Indicator. We used DYNAMO-HIA to quantify the impacts of risk factor changes and to compare the “business-as-usual” with alternative scenarios. Results The “business-as-usual” scenario estimated that in 2028 the 15-year-old men/women woul... Mehr ...

Verfasser: Otavova, Martina
Van Oyen, Herman
Yokota, Renata T. C.
Charafeddine, Rana
Joossens, Luk
Molenberghs, Geert
Nusselder, Wilma J.
Boshuizen, Hendriek C.
Devleesschauwer, Brecht
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: International Journal of Public Health ; volume 65, issue 2, page 129-138 ; ISSN 1661-8556 1661-8564
Verlag/Hrsg.: Springer Science and Business Media LLC
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28549659
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1007/s00038-019-01315-z

Abstract Objectives We investigated the potential impact of reduced tobacco use scenarios on total life expectancy and health expectancies, i.e., healthy life years and unhealthy life years. Methods Data from the Belgian Health Interview Survey 2013 were used to estimate smoking and disability prevalence. Disability was based on the Global Activity Limitation Indicator. We used DYNAMO-HIA to quantify the impacts of risk factor changes and to compare the “business-as-usual” with alternative scenarios. Results The “business-as-usual” scenario estimated that in 2028 the 15-year-old men/women would live additional 50/52 years without disability and 14/17 years with disability. The “smoking-free population” scenario added 3.4/2.8 healthy life years and reduced unhealthy life years by 0.79/1.9. Scenarios combining the prevention of smoking initiation with smoking cessation programs are the most effective, yielding the largest increase in healthy life years (1.9/1.7) and the largest decrease in unhealthy life years (− 0.80/− 1.47). Conclusions Health impact assessment tools provide different scenarios for evidence-informed public health actions. New anti-smoking strategies or stricter enforcement of existing policies potentially gain more healthy life years and reduce unhealthy life years in Belgium.