BeBOD estimates of attributable mortality and years of life lost due to tobacco use, 2013-2020
Belgian National Burden of Disease Study Estimates of the attributable burden of disease Our results build on the estimates of causes of death from the Belgian National Burden of Disease Study and apply comparative risk assessment to estimate the proportion of that burden due to risk factors. Population attributable fraction Based on the estimated level of exposure and the associated health risk, a population attributable fraction (PAF) is calculated. The PAF is the proportion of the disease burden that is caused by exposure to the risk factor. Attributable burden The burden of disease is quantified in deaths and in Years of Life Lost (YLL). To derive the burden attributable to a risk factor, its PAF is multiplied with the total observed burden. Risk factors Tobacco use The prevalence of never, former and current smokers, as well as the daily number of cigarettes smoked by smokers, is derived from the Belgian Health Interview Survey. Bayesian regression models are used to smoothen, interpolate and extrapolate observed estimates. More information For additional background on BeBOD, please visit https://www.sciensano.be/en/projects/belgian-national-burden-disease-st…. Explore the estimates via https://burden.sciensano.be/shiny/risk.
Overzicht
- Alternative Titles / Acronym
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- BeBOD
- Trefwoorden
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Belgium BeBOD Burden of disease Mortality Tobacco use Years of life lost
- Talen
- ENG
- Health Categories
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Data from medical registries and mortality registries
- Population Coverage
- The general Belgian population
- Purposes
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What are the most important diseases in Belgium? Which risk factors contribute most to the overall disease burden? How is the burden of disease evolving over time, and how does it differ across the country? In a context of increasing budgetary constraints, a precise answer to these basic questions is more than ever necessary to inform policy-making. To address this need, Sciensano is conducting a national burden of disease study. In addition to generating internally consistent estimates of death rate (mortality) or how unhealthy we are (morbidity) by age, sex and region, the estimates will also include how much of that burden can be attributed to risk factors. This can be useful for priority setting and prevention policy planning.
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- Provenance
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- This dataset is based on the causes of death database from the Belgian National Burden of Disease Study (BeBOD), which in turn is based on Statbel. Other source(s) used are the Belgian Health Interview Survey data for the data on tobacco use.
- Landing Pages
- Documentation
Temporal Information
- Dataset Issued
- Dataset Modified
- Temporal Coverage
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BeginEinde
- Update Frequency
- UNKNOWN
- Metadata Dates
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Issued:Modified:
Spatial Information
- Geographic Coverage
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- BE
- NUTS Codes
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http://data.europa.eu/nuts/code/BE
Additional Information
- Applicable Legislation
- HDAB
- Conforms To
- Versie
- Version v2024-04-24
- Structured Identifiers
Distributions & Resources
https://zenodo.org/records/11397544