Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions?
Variations in social policy between countries provide opportunities to assess the impact of these policies on health inequities. This study compares the risk of low birth weight in Brussels and Montreal, according to household composition, and discusses the impact of income support policies. For eac...
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doaj-100d66dcbae9452682f199bb3f89cde42021-08-06T15:23:12ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-07-01187936793610.3390/ijerph18157936Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions?Mouctar Sow0Myriam De Spiegelaere1Marie-France Raynault2School of Public Health, University of Montreal, Montreal, QC H3N 1X9, CanadaSchool of Public Health, Université Libre de Bruxelles (ULB), 1070 Brussels, BelgiumSchool of Public Health, University of Montreal, Montreal, QC H3N 1X9, CanadaVariations in social policy between countries provide opportunities to assess the impact of these policies on health inequities. This study compares the risk of low birth weight in Brussels and Montreal, according to household composition, and discusses the impact of income support policies. For each context, we estimated the impact of income support policies on the extent of poverty of welfare recipients, using the model family method. Based on the differences found, we tested hypotheses on the association between low birth weight and household composition, using administrative data from the birth register and social security in each region. The extent of poverty of welfare families differs according to household composition. In Quebec, the combination of low welfare benefits and larger family allowances widens the gap between households with children and those without children. The risk of LBW also differs between these two contexts according to the number of children. Compared to children born into large welfare families, first-born children are more at risk in Montreal than in Brussels. In addition to the usual comparative studies on the topic, our study highlights the importance of an evaluative perspective that considers the combination of different types of income support measures to better identify the most vulnerable households.https://www.mdpi.com/1660-4601/18/15/7936perinatal inequitiespovertysocial policyincome support policieswelfarehealth impact assessment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mouctar Sow Myriam De Spiegelaere Marie-France Raynault |
spellingShingle |
Mouctar Sow Myriam De Spiegelaere Marie-France Raynault Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions? International Journal of Environmental Research and Public Health perinatal inequities poverty social policy income support policies welfare health impact assessment |
author_facet |
Mouctar Sow Myriam De Spiegelaere Marie-France Raynault |
author_sort |
Mouctar Sow |
title |
Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions? |
title_short |
Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions? |
title_full |
Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions? |
title_fullStr |
Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions? |
title_full_unstemmed |
Risk of Low Birth Weight According to Household Composition in Brussels and Montreal: Do Income Support Policies Variations Explain the Differences Observed between Both Regions? |
title_sort |
risk of low birth weight according to household composition in brussels and montreal: do income support policies variations explain the differences observed between both regions? |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2021-07-01 |
description |
Variations in social policy between countries provide opportunities to assess the impact of these policies on health inequities. This study compares the risk of low birth weight in Brussels and Montreal, according to household composition, and discusses the impact of income support policies. For each context, we estimated the impact of income support policies on the extent of poverty of welfare recipients, using the model family method. Based on the differences found, we tested hypotheses on the association between low birth weight and household composition, using administrative data from the birth register and social security in each region. The extent of poverty of welfare families differs according to household composition. In Quebec, the combination of low welfare benefits and larger family allowances widens the gap between households with children and those without children. The risk of LBW also differs between these two contexts according to the number of children. Compared to children born into large welfare families, first-born children are more at risk in Montreal than in Brussels. In addition to the usual comparative studies on the topic, our study highlights the importance of an evaluative perspective that considers the combination of different types of income support measures to better identify the most vulnerable households. |
topic |
perinatal inequities poverty social policy income support policies welfare health impact assessment |
url |
https://www.mdpi.com/1660-4601/18/15/7936 |
work_keys_str_mv |
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