Measuring small-area level deprivation in Belgium: The Belgian Index of Multiple Deprivation

Otavova, Martina; Masquelier, Bruno; Faes, Christel; Borre, Laura Van den; Bouland, Catherine; Clercq, Eva M. De; Vandeninden, Bram; Bleser, Andreas De; Devleesschauwer, Brecht

doi:10.1016/j.sste.2023.100587

Cited by 9 publications

(14 citation statements)

References 22 publications

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“…More generally, the importance of the random municipality term in models E and F shows that it explains part of the variability in the vaccination outcome that is not captured by the other terms. Such initial results indicate a potential neighborhood effect in the context of COVID-19 vaccination which may be investigated further [36] .…”

Section: Discussionmentioning

confidence: 87%

“…More specifically, deprivation scores in the context of health inequalities have recently been defined for Belgium but at smaller area level than the municipality considered in this study ( i.e. the statistical sector) [36] . Further research on this dataset may be useful to systematically assess which summarizing approach allows the best possible representation of the individual level data.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Area and individual level analyses of demographic and socio-economic disparities in COVID-19 vaccination uptake in Belgium

Hubin,

Van den Borre,

Braeye

et al. 2024

Vaccine: X

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Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Area and individual level analyses of demographic and socio-economic disparities in COVID-19 vaccination uptake in Belgium

Hubin,

Van den Borre,

Braeye

et al. 2024

Vaccine: X

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“…The Belgian indices of multiple deprivation (BIMDs) are time-and spatial-speci c tools for measuring multiple deprivation at the level of the statistical sector [14]. The BIMDs encompass six domains of deprivation: income, education, employment, housing, health and crime.…”

Section: Belgian Indices Of Multiple Deprivation 2001 and 2011 (Bimd2...mentioning

confidence: 99%

“…Although several studies have investigated premature mortality in Belgium in recent decades, only a few used an aggregate approach, and none measured deprivation level by an area-based composite measure. The novelty of our study is thus a use of recently developed indices of deprivation for measuring deprivation levels at the smallest administrative unit in Belgium, the statistical sector [14]. We examine the association between area-level socioeconomic deprivation and all-cause and causespeci c premature mortality, using premature mortality rates, population attributable fractions and potential years of life lost.…”

Section: Introductionmentioning

confidence: 99%

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998-2019

OTAVOVA,

MASQUELIER,

FAES

et al. 2023

Preprint

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Background Higher levels of socioeconomic deprivation have been consistently associated with increased risk of premature mortality, but a detailed analysis by causes of death is lacking in Belgium. Our aim is to investigate the association between area deprivation and all-cause and cause-specific premature mortality in Belgium over the period 1998–2019. Methods We used the 2001 and 2011 Belgian indices of multiple deprivation to assign statistical sectors, the smallest geographical units in the country, into deprivation deciles. All-cause and cause-specific premature mortality rates, population attributable fraction and potential years of life lost due to inequality were estimated by period, sex, and deprivation deciles. Results Men and women living in the most deprived areas were 1.96 and 1.78 times more likely to die prematurely compared to those living in the least deprived areas over the period under study (1998–2019). About 28% of all premature deaths could be attributed to socioeconomic inequality and about 30% of potential years of life lost would be averted if the whole population of Belgium faced the premature mortality rates of the least deprived areas. Conclusion Premature mortality rates have declined over time, but the inequality has increased due to a faster pace of decrease in the least deprived areas compared to the most deprived areas. As the causes of death related to poor lifestyle choices contribute the most into the inequality gap, more effective, country-level interventions should be put in place to target segments of the population living in the most deprived areas as they are facing disproportionately high risks of dying.

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“…Building on this work, the main objective of this study is to assess the overall magnitude of socioeconomic inequality in all-cause and cause-specific premature mortality between the years 1998 and 2019 in Belgium. The novelty of our study is the use of the Belgian Indices of Multiple Deprivation, measuring the aggregate scale of socioeconomic inequality at the level of the smallest administrative unit in Belgium, the statistical sector [ 17 ]. By using health metrics, such as premature mortality rates, population attributable fractions, and potential years of life lost, we introduce the scale of the socioeconomic inequality in Belgium in a way that is easy to communicate to policymakers and the public; track health inequality developments over time; and disaggregate the inequality by sex, level of deprivation, and cause of death.…”

Section: Introductionmentioning

confidence: 99%

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998–2019

Otavova,

Masquelier,

Faes

et al. 2024

BMC Public Health

Self Cite

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Background Higher levels of socioeconomic deprivation have been consistently associated with increased risk of premature mortality, but a detailed analysis by causes of death is lacking in Belgium. We aim to investigate the association between area deprivation and all-cause and cause-specific premature mortality in Belgium over the period 1998–2019. Methods We used the 2001 and 2011 Belgian Indices of Multiple Deprivation to assign statistical sectors, the smallest geographical units in the country, into deprivation deciles. All-cause and cause-specific premature mortality rates, population attributable fraction, and potential years of life lost due to inequality were estimated by period, sex, and deprivation deciles. Results Men and women living in the most deprived areas were 1.96 and 1.78 times more likely to die prematurely compared to those living in the least deprived areas over the period under study (1998–2019). About 28% of all premature deaths could be attributed to socioeconomic inequality and about 30% of potential years of life lost would be averted if the whole population of Belgium faced the premature mortality rates of the least deprived areas. Conclusion Premature mortality rates have declined over time, but inequality has increased due to a faster pace of decrease in the least deprived areas compared to the most deprived areas. As the causes of death related to poor lifestyle choices contribute the most to the inequality gap, more effective, country-level interventions should be put in place to target segments of the population living in the most deprived areas as they are facing disproportionately high risks of dying.

show abstract

Measuring small-area level deprivation in Belgium: The Belgian Index of Multiple Deprivation

Cited by 9 publications

References 22 publications

Area and individual level analyses of demographic and socio-economic disparities in COVID-19 vaccination uptake in Belgium

Area and individual level analyses of demographic and socio-economic disparities in COVID-19 vaccination uptake in Belgium

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998-2019

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998–2019

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