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Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model

BACKGROUND: Subjects with lower socioeconomic status (SES) are exposed to higher levels of environmental stressors. The cumulative effects of chronic stressors on cardiometabolic health can be evaluated using the allostatic load (AL) score. Despite the accepted social gradient, clear relationships b...

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Autores principales: Polcrova, A, Nieto-Martinez, R, Mechanick, JI, Neto, GA Maranhao, Infante-Garcia, MM, Pikhart, H, Bobak, M, Medina-Inojosa, JR, Gonzalez-Rivas, JP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593518/
http://dx.doi.org/10.1093/eurpub/ckac130.095
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author Polcrova, A
Nieto-Martinez, R
Mechanick, JI
Neto, GA Maranhao
Infante-Garcia, MM
Pikhart, H
Bobak, M
Medina-Inojosa, JR
Gonzalez-Rivas, JP
author_facet Polcrova, A
Nieto-Martinez, R
Mechanick, JI
Neto, GA Maranhao
Infante-Garcia, MM
Pikhart, H
Bobak, M
Medina-Inojosa, JR
Gonzalez-Rivas, JP
author_sort Polcrova, A
collection PubMed
description BACKGROUND: Subjects with lower socioeconomic status (SES) are exposed to higher levels of environmental stressors. The cumulative effects of chronic stressors on cardiometabolic health can be evaluated using the allostatic load (AL) score. Despite the accepted social gradient, clear relationships between social determinants and cardiometabolic health in populations with different socio-cultural contexts have been rarely explored. This study aimed to compare the relationships of social determinants with AL in different socioeconomic contexts: unstable Venezuela (VE) and stable Czechia (CZ). METHODS: 25-64 years old subjects from two cross-sectional population-based samples from CZ (2013-2014, n = 1579, 56% females) and VE (2014-2017, n = 1652, 70% females). The AL score (scaled 0-8) was calculated using 8 cardiometabolic biomarkers (BMI, waist circumference, systolic and diastolic blood pressure, total and HDL-cholesterol, triglycerides). Social characteristics included education in both countries, household income in CZ, and composite measure of SES based on source of income, household head's profession, motheŕs education, and housing conditions in VE. Ordinal regression was performed separately in men and women. RESULTS: In CZ, men and women with low education and women with low income were more likely to have higher score of AL compared to those with high education and income (OR 1.45, 2.29 and 1.69). In VE, women with low education and low SES were more likely to have higher AL (OR 1.47 and 1.51), while men with low education and low SES were less likely to have higher AL (OR 0.64 and 0.61), compared to those with high education and high SES. Independently of age, sex, and socioeconomic characteristics, Venezuelans were more likely to have higher AL than Czechs. CONCLUSIONS: Associations of social position indices and cardiometabolic health (proxied by AL) differed between CZ and VE, most likely reflecting differences in social environment between the countries. KEY MESSAGES: Social gradients in cardiometabolic health differ among social environments. Social gradients in cardiometabolic health differ among sexes.
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spelling pubmed-95935182022-11-22 Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model Polcrova, A Nieto-Martinez, R Mechanick, JI Neto, GA Maranhao Infante-Garcia, MM Pikhart, H Bobak, M Medina-Inojosa, JR Gonzalez-Rivas, JP Eur J Public Health Poster Walks BACKGROUND: Subjects with lower socioeconomic status (SES) are exposed to higher levels of environmental stressors. The cumulative effects of chronic stressors on cardiometabolic health can be evaluated using the allostatic load (AL) score. Despite the accepted social gradient, clear relationships between social determinants and cardiometabolic health in populations with different socio-cultural contexts have been rarely explored. This study aimed to compare the relationships of social determinants with AL in different socioeconomic contexts: unstable Venezuela (VE) and stable Czechia (CZ). METHODS: 25-64 years old subjects from two cross-sectional population-based samples from CZ (2013-2014, n = 1579, 56% females) and VE (2014-2017, n = 1652, 70% females). The AL score (scaled 0-8) was calculated using 8 cardiometabolic biomarkers (BMI, waist circumference, systolic and diastolic blood pressure, total and HDL-cholesterol, triglycerides). Social characteristics included education in both countries, household income in CZ, and composite measure of SES based on source of income, household head's profession, motheŕs education, and housing conditions in VE. Ordinal regression was performed separately in men and women. RESULTS: In CZ, men and women with low education and women with low income were more likely to have higher score of AL compared to those with high education and income (OR 1.45, 2.29 and 1.69). In VE, women with low education and low SES were more likely to have higher AL (OR 1.47 and 1.51), while men with low education and low SES were less likely to have higher AL (OR 0.64 and 0.61), compared to those with high education and high SES. Independently of age, sex, and socioeconomic characteristics, Venezuelans were more likely to have higher AL than Czechs. CONCLUSIONS: Associations of social position indices and cardiometabolic health (proxied by AL) differed between CZ and VE, most likely reflecting differences in social environment between the countries. KEY MESSAGES: Social gradients in cardiometabolic health differ among social environments. Social gradients in cardiometabolic health differ among sexes. Oxford University Press 2022-10-25 /pmc/articles/PMC9593518/ http://dx.doi.org/10.1093/eurpub/ckac130.095 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Walks
Polcrova, A
Nieto-Martinez, R
Mechanick, JI
Neto, GA Maranhao
Infante-Garcia, MM
Pikhart, H
Bobak, M
Medina-Inojosa, JR
Gonzalez-Rivas, JP
Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model
title Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model
title_full Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model
title_fullStr Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model
title_full_unstemmed Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model
title_short Social Disparities in Cardiometabolic Health in Czechia and Venezuela Using the Allostatic Load Model
title_sort social disparities in cardiometabolic health in czechia and venezuela using the allostatic load model
topic Poster Walks
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593518/
http://dx.doi.org/10.1093/eurpub/ckac130.095
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