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Measuring small-area level deprivation in Belgium: The Belgian Index of Multiple Deprivation.
Otavova, Martina; Masquelier, Bruno; Faes, Christel; Van den Borre, Laura; Bouland, Catherine; De Clercq, Eva; Vandeninden, Bram; De Bleser, Andreas; Devleesschauwer, Brecht.
Afiliação
  • Otavova M; Center for Demographic Research, UCLouvain, Louvain-la-Neuve, Belgium; Data Science Institute, I-BioStat, Hasselt University, Belgium; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium. Electronic address: martina.otavova@uclouvain.be.
  • Masquelier B; Center for Demographic Research, UCLouvain, Louvain-la-Neuve, Belgium.
  • Faes C; Data Science Institute, I-BioStat, Hasselt University, Belgium.
  • Van den Borre L; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium; Interface Demography, Department of Sociology, Vrije Universiteit Brussels, Belgium.
  • Bouland C; Research Centre on Environmental and Occupational Health, School of Public Health, Université Libre de Bruxelles, Brussels, Belgium.
  • De Clercq E; Department of Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
  • Vandeninden B; Data Science Institute, I-BioStat, Hasselt University, Belgium; Research Centre on Environmental and Occupational Health, School of Public Health, Université Libre de Bruxelles, Brussels, Belgium; Department of Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
  • De Bleser A; Intermutualistic Agency, Brussels, Belgium.
  • Devleesschauwer B; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium; Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium.
Spat Spatiotemporal Epidemiol ; 45: 100587, 2023 06.
Article em En | MEDLINE | ID: mdl-37301602
BACKGROUND: In the past, deprivation has been mostly captured through simple and univariate measures such as low income or poor educational attainment in research on health and social inequalities in Belgium. This paper presents a shift towards a more complex, multidimensional measure of deprivation at the aggregate level and describes the development of the first Belgian Indices of Multiple Deprivation (BIMDs) for the years 2001 and 2011. METHODS: The BIMDs are constructed at the level of the smallest administrative unit in Belgium, the statistical sector. They are a combination of six domains of deprivation: income, employment, education, housing, crime and health. Each domain is built on a suite of relevant indicators representing individuals that suffer from a certain deprivation in an area. The indicators are combined to create the domain deprivation scores, and these scores are then weighted to create the overall BIMDs scores. The domain and BIMDs scores can be ranked and assigned to deciles from 1 (the most deprived) to 10 (the least deprived). RESULTS: We show geographical variations in the distribution of the most and least deprived statistical sectors in terms of individual domains and overall BIMDs, and we identify hotspots of deprivation. The majority of the most deprived statistical sectors are located in Wallonia, whereas most of the least deprived statistical sectors are in Flanders. CONCLUSION: The BIMDs offer a new tool for researches and policy makers for analyzing patterns of deprivation and identifying areas that would benefit from special initiatives and programs.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Pobreza Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Spat Spatiotemporal Epidemiol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Pobreza Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Spat Spatiotemporal Epidemiol Ano de publicação: 2023 Tipo de documento: Article