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Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area

INTRODUCTION: Cardiovascular Disease (CVD) has been linked to “neighbourhood” socioeconomic status (nSES), often operationalized as a composite index of aggregate income, occupation and education within predefined administrative boundaries. The role of specific, non-composite socioeconomic markers h...

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Autores principales: Naimi, Ashley Isaac, Paquet, Catherine, Gauvin, Lise, Daniel, Mark
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800335/
https://www.ncbi.nlm.nih.gov/pubmed/20049247
http://dx.doi.org/10.3390/ijerph6123082
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author Naimi, Ashley Isaac
Paquet, Catherine
Gauvin, Lise
Daniel, Mark
author_facet Naimi, Ashley Isaac
Paquet, Catherine
Gauvin, Lise
Daniel, Mark
author_sort Naimi, Ashley Isaac
collection PubMed
description INTRODUCTION: Cardiovascular Disease (CVD) has been linked to “neighbourhood” socioeconomic status (nSES), often operationalized as a composite index of aggregate income, occupation and education within predefined administrative boundaries. The role of specific, non-composite socioeconomic markers has not been clearly explained. It is also unclear whether the relationship between nSES and CVD varies according to sex. We sought to determine whether area-level unemployment (ALU) was associated with CVD risk, and whether this association differed by sex. METHODS: 342 individuals from the Montreal Neighbourhood Survey of Lifestyle and Health provided self-reported behavioural and socioeconomic information. A nurse collected biochemical and anthropometric data. ALU, a weighted average of the proportion of persons 15-years and older available for but without work, was measured using a Geographic Information System for a 250 m buffer centred on individual residence. Generalized Estimating Equations were used to estimate the associations between ALU, body mass index (BMI) and a cumulative score for total cardiometabolic risk (TCR). RESULTS: After confounder adjustments, the mean 4(th) minus 1(st) quartile difference in BMI was 3.19 kg/m(2) (95% CI: 2.39, 3.99), while the prevalence ratio for the 4(th) relative to 1(st) quartile for TCR was 2.20 (95 % CI: 1.53, 3.17). Sex interacted with ALU; women relative to men had greater mean 3.97 kg/m(2) (95% CI: 2.08, 5.85) BMI and greater mean TCR 1.51 (95% CI: 0.78, 2.90), contrasted at mean ALU. CONCLUSIONS: Area-level unemployment is associated with greater CVD risk, and this association is stronger for women.
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spelling pubmed-28003352010-01-04 Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area Naimi, Ashley Isaac Paquet, Catherine Gauvin, Lise Daniel, Mark Int J Environ Res Public Health Article INTRODUCTION: Cardiovascular Disease (CVD) has been linked to “neighbourhood” socioeconomic status (nSES), often operationalized as a composite index of aggregate income, occupation and education within predefined administrative boundaries. The role of specific, non-composite socioeconomic markers has not been clearly explained. It is also unclear whether the relationship between nSES and CVD varies according to sex. We sought to determine whether area-level unemployment (ALU) was associated with CVD risk, and whether this association differed by sex. METHODS: 342 individuals from the Montreal Neighbourhood Survey of Lifestyle and Health provided self-reported behavioural and socioeconomic information. A nurse collected biochemical and anthropometric data. ALU, a weighted average of the proportion of persons 15-years and older available for but without work, was measured using a Geographic Information System for a 250 m buffer centred on individual residence. Generalized Estimating Equations were used to estimate the associations between ALU, body mass index (BMI) and a cumulative score for total cardiometabolic risk (TCR). RESULTS: After confounder adjustments, the mean 4(th) minus 1(st) quartile difference in BMI was 3.19 kg/m(2) (95% CI: 2.39, 3.99), while the prevalence ratio for the 4(th) relative to 1(st) quartile for TCR was 2.20 (95 % CI: 1.53, 3.17). Sex interacted with ALU; women relative to men had greater mean 3.97 kg/m(2) (95% CI: 2.08, 5.85) BMI and greater mean TCR 1.51 (95% CI: 0.78, 2.90), contrasted at mean ALU. CONCLUSIONS: Area-level unemployment is associated with greater CVD risk, and this association is stronger for women. Molecular Diversity Preservation International (MDPI) 2009-12 2009-12-04 /pmc/articles/PMC2800335/ /pubmed/20049247 http://dx.doi.org/10.3390/ijerph6123082 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Naimi, Ashley Isaac
Paquet, Catherine
Gauvin, Lise
Daniel, Mark
Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area
title Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area
title_full Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area
title_fullStr Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area
title_full_unstemmed Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area
title_short Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area
title_sort associations between area-level unemployment, body mass index, and risk factors for cardiovascular disease in an urban area
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800335/
https://www.ncbi.nlm.nih.gov/pubmed/20049247
http://dx.doi.org/10.3390/ijerph6123082
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