Potential impact of reduced tobacco use on life and health expectancies in Belgium
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... Mehr ...
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Dokumenttyp: | journalarticle |
Erscheinungsdatum: | 2020 |
Schlagwörter: | Medicine and Health Sciences / Smoking / Healthy life years / Unhealthy life years / DYNAMO-HIA / Smoking intervention / QUALITY-OF-LIFE / SMOKING-CESSATION / SULLIVANS METHOD / RISK-FACTORS / PREVALENCE / ADULTS / AGE |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26993059 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://biblio.ugent.be/publication/8650467 |
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.