Evidence map›Paper›PMID 36539802›Full record

ArticleBMC public health2022

Inequalities in mortality associated with housing conditions in Belgium between 1991 and 2020.

Martina Otavova, Christel Faes, Catherine Bouland, Eva De Clercq, Bram Vandeninden, Thierry Eggerickx, Jean-Paul Sanderson, Brecht Devleesschauwer, Bruno Masquelier

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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 OtavovaCenter for Demographic Research, UCLouvain, Louvain-La-Neuve, Belgium. martina.otavova@uclouvain.be.
Christel FaesData Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.
Catherine BoulandResearch Centre On Environmental and Occupational Health, School of Public Health, Université Libre de Bruxelles, Brussels, Belgium.
Eva De ClercqDepartment of Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
Bram VandenindenData Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.
Thierry EggerickxCenter for Demographic Research, UCLouvain, Louvain-La-Neuve, Belgium.
Jean-Paul SandersonCenter for Demographic Research, UCLouvain, Louvain-La-Neuve, Belgium.
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Bruno MasquelierCenter for Demographic Research, UCLouvain, Louvain-La-Neuve, Belgium.

Funding

Belgian Federal Science Policy Office B2/191/P3/ELLIS
6 · The paper itself

Abstract

backgroundPoor housing conditions have been associated with increased mortality. Our objective is to investigate the association between housing inequality and increased mortality in Belgium and to estimate the number of deaths that could be prevented if the population of the whole country faced the mortality rates experienced in areas that are least deprived in terms of housing.

methodsWe used individual-level mortality data extracted from the National Register in Belgium and relative to deaths that occurred between Jan. 1, 1991, and Dec. 31, 2020. Spatial and time-specific housing deprivation indices (1991, 2001, and 2011) were created at the level of the smallest geographical unit in Belgium, with these units assigned into deciles from the most to the least deprived. We calculated mortality associated with housing inequality as the difference between observed and expected deaths by applying mortality rates of the least deprived decile to other deciles. We also used standard life table calculations to estimate the potential years of life lost due housing inequality.

resultsUp to 18.5% (95% CI 17.7-19.3) of all deaths between 1991 and 2020 may be associated with housing inequality, corresponding to 584,875 deaths. Over time, life expectancy at birth increased for the most and least deprived deciles by about 3.5 years. The gap in life expectancy between the two deciles remained high, on average 4.6 years. Life expectancy in Belgium would increase by approximately 3 years if all deciles had the mortality rates of the least deprived decile.

conclusionsThousands of deaths in Belgium could be avoided if all Belgian neighborhoods had the mortality rates of the least deprived areas in terms of housing. Hotspots of housing inequalities need to be located and targeted with tailored public actions.

Indexed as

Housing QualityLife ExpectancyBelgiumHumansInfant, NewbornLife TablesMortalityResidence CharacteristicsSocioeconomic FactorsBelgiumHealth inequalityHousing inequalityMortality

Identifiers

PMID36539802
PMCPMC9769013

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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.