Cargando…

Social and environmental stressors and cardiometabolic risk

BACKGROUND: Cardiometabolic health is influenced by many social and environmental factors, as demonstrated by the ubiquitous health inequalities. Exposures to social and environmental stressors produce individual biological and behavioural responses and thus may lead to impaired health both directly...

Descripción completa

Detalles Bibliográficos
Autores principales: Bartoskova Polcrova, A, Dalecka, A, Szabo, D, Gonzalez Rivas, J P, Bobak, M, Pikhart, H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595958/
http://dx.doi.org/10.1093/eurpub/ckad160.1258
_version_ 1785124991559270400
author Bartoskova Polcrova, A
Dalecka, A
Szabo, D
Gonzalez Rivas, J P
Bobak, M
Pikhart, H
author_facet Bartoskova Polcrova, A
Dalecka, A
Szabo, D
Gonzalez Rivas, J P
Bobak, M
Pikhart, H
author_sort Bartoskova Polcrova, A
collection PubMed
description BACKGROUND: Cardiometabolic health is influenced by many social and environmental factors, as demonstrated by the ubiquitous health inequalities. Exposures to social and environmental stressors produce individual biological and behavioural responses and thus may lead to impaired health both directly and indirectly. This study investigated several social and environmental stressors and describe the paths of their effect on cardiometabolic health. METHODS: We analysed a cross-sectional population sample of 2154 Czech subjects (aged 25-64 years, 55% women). The composite score (range 0-5) of metabolic disorders was calculated using 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, and triglycerides. The higher score represents the higher cardiometabolic risk (CMR). The effects of social stressors (education, income), environmental stressors (air pollution, greenspace, noise) and behavioural factors (unhealthy diet, smoking, alcohol intake, sedentary behaviours) on CMR were assessed using a structural pathway model. RESULTS: We observed a significant direct effect of higher education on CMR (β=-0.101; 95% CI [-0.146, -0.056], as well as an indirect effect mediated via an unhealthy diet (β=-0.013; 95% CI [-0.022, -0.006]), smoking (β=-0.015; 95% CI [-0.028, -0.003]), and sedentary behaviours (β = 0.013; 95% CI [0.007, 0.022]). We also observed a significant indirect effect of higher income via sedentary behaviours (β = 0.012; 95% CI [0.006, 0.019]). The only environmental stressor significantly predicting CMR was noise (β = 0.054; 95% CI [0.006, 0.019]), which was also mediating the effect of higher education (β=-0.003; 95% CI [-0.008, -0.001]). CONCLUSIONS: The effect of social stressors on the development of CMR had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and predispose individuals to higher levels of environmental stressors exposures. KEY MESSAGES: • Social stressors exhibited a greater magnitude of effect on cardiometabolic risk compared to environmental stressors. • Social stressors lead to unhealthy behaviours and predispose individuals to higher environmental stressors exposure.
format Online
Article
Text
id pubmed-10595958
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105959582023-10-25 Social and environmental stressors and cardiometabolic risk Bartoskova Polcrova, A Dalecka, A Szabo, D Gonzalez Rivas, J P Bobak, M Pikhart, H Eur J Public Health Poster Displays BACKGROUND: Cardiometabolic health is influenced by many social and environmental factors, as demonstrated by the ubiquitous health inequalities. Exposures to social and environmental stressors produce individual biological and behavioural responses and thus may lead to impaired health both directly and indirectly. This study investigated several social and environmental stressors and describe the paths of their effect on cardiometabolic health. METHODS: We analysed a cross-sectional population sample of 2154 Czech subjects (aged 25-64 years, 55% women). The composite score (range 0-5) of metabolic disorders was calculated using 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, and triglycerides. The higher score represents the higher cardiometabolic risk (CMR). The effects of social stressors (education, income), environmental stressors (air pollution, greenspace, noise) and behavioural factors (unhealthy diet, smoking, alcohol intake, sedentary behaviours) on CMR were assessed using a structural pathway model. RESULTS: We observed a significant direct effect of higher education on CMR (β=-0.101; 95% CI [-0.146, -0.056], as well as an indirect effect mediated via an unhealthy diet (β=-0.013; 95% CI [-0.022, -0.006]), smoking (β=-0.015; 95% CI [-0.028, -0.003]), and sedentary behaviours (β = 0.013; 95% CI [0.007, 0.022]). We also observed a significant indirect effect of higher income via sedentary behaviours (β = 0.012; 95% CI [0.006, 0.019]). The only environmental stressor significantly predicting CMR was noise (β = 0.054; 95% CI [0.006, 0.019]), which was also mediating the effect of higher education (β=-0.003; 95% CI [-0.008, -0.001]). CONCLUSIONS: The effect of social stressors on the development of CMR had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and predispose individuals to higher levels of environmental stressors exposures. KEY MESSAGES: • Social stressors exhibited a greater magnitude of effect on cardiometabolic risk compared to environmental stressors. • Social stressors lead to unhealthy behaviours and predispose individuals to higher environmental stressors exposure. Oxford University Press 2023-10-24 /pmc/articles/PMC10595958/ http://dx.doi.org/10.1093/eurpub/ckad160.1258 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Displays
Bartoskova Polcrova, A
Dalecka, A
Szabo, D
Gonzalez Rivas, J P
Bobak, M
Pikhart, H
Social and environmental stressors and cardiometabolic risk
title Social and environmental stressors and cardiometabolic risk
title_full Social and environmental stressors and cardiometabolic risk
title_fullStr Social and environmental stressors and cardiometabolic risk
title_full_unstemmed Social and environmental stressors and cardiometabolic risk
title_short Social and environmental stressors and cardiometabolic risk
title_sort social and environmental stressors and cardiometabolic risk
topic Poster Displays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595958/
http://dx.doi.org/10.1093/eurpub/ckad160.1258
work_keys_str_mv AT bartoskovapolcrovaa socialandenvironmentalstressorsandcardiometabolicrisk
AT daleckaa socialandenvironmentalstressorsandcardiometabolicrisk
AT szabod socialandenvironmentalstressorsandcardiometabolicrisk
AT gonzalezrivasjp socialandenvironmentalstressorsandcardiometabolicrisk
AT bobakm socialandenvironmentalstressorsandcardiometabolicrisk
AT pikharth socialandenvironmentalstressorsandcardiometabolicrisk