Evidence map›Paper›PMID 31781804›Full record

ArticleInternational journal of public health2020

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

Martina Otavova, Herman Van Oyen, Renata T C Yokota, Rana Charafeddine, Luk Joossens, Geert Molenberghs, Wilma J Nusselder, Hendriek C Boshuizen, Brecht Devleesschauwer

Abstract read
In one paragraph

Article in International journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Does Tobacco Affect Economy?Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Martina OtavovaUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000, Odense, Denmark.
Herman Van OyenDepartment of Epidemiology and public health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Renata T C YokotaDepartment of Epidemiology and public health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Rana CharafeddineDepartment of Epidemiology and public health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Luk JoossensAssociation of European Cancer Leagues, Brussels, Belgium.
Geert MolenberghsI-BioStat, Universiteit Hasselt & KU Leuven, Hasselt, Belgium.
Wilma J NusselderDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Hendriek C BoshuizenDepartment of Statistics, Informatics and Mathematical Modeling, Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Brecht DevleesschauwerDepartment of Epidemiology and public health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium. brecht.devleesschauwer@sciensano.be.ORCID http://orcid.org/0000-0002-2867-6892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe 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.

methodsData 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.

resultsThe "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).

conclusionsHealth 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.

Indexed as

AgedBelgiumFemaleHealth Impact AssessmentHealth SurveysHumansLife ExpectancyMaleMiddle AgedPersons with DisabilitiesPrevalencePublic HealthRisk FactorsSmoking CessationTobacco UseDYNAMO-HIAHealthy life yearsSmokingSmoking interventionUnhealthy life years

Identifiers

PMID31781804
PMCPMC7049546

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.