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Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach

PURPOSE: Despite much attention within the literature, the multiple risk factors associated with CVD mortality in Russia are still not fully understood. Drawing on the Health Belief Model as a theoretical framework, we aim to elicit socioeconomic and behavioral determinants of cardiovascular risks i...

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Autores principales: Kaneva, Maria, Jakovljevic, Mihajlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084866/
https://www.ncbi.nlm.nih.gov/pubmed/37050922
http://dx.doi.org/10.2147/RMHP.S388873
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author Kaneva, Maria
Jakovljevic, Mihajlo
author_facet Kaneva, Maria
Jakovljevic, Mihajlo
author_sort Kaneva, Maria
collection PubMed
description PURPOSE: Despite much attention within the literature, the multiple risk factors associated with CVD mortality in Russia are still not fully understood. Drawing on the Health Belief Model as a theoretical framework, we aim to elicit socioeconomic and behavioral determinants of cardiovascular risks in Russian men and women. METHODS: Using the Know Your Heart project data, we utilize regression analysis and then structural equation modeling (latent class analysis and mediation analysis) to study the determinants of CVD risks. RESULTS: OLS and ordered logit regressions show that the key factors defining cardiovascular health behaviors in Russia are health-related actions to reduce the perceived threat of diseases (physical activity and GP visits), perceived barriers to behavioral change (financial constraints), and cues to action (awareness of the federal health check-up program). The latent class analysis further identifies three distinct groups of the population with different CVD risk levels. Over one-third of respondents belong to the “high CVD risk” class characterized by the highest share of smokers and alcohol abusers who evade contact with primary care and face financial constraints. In the mediation analysis, we find that employment mediates the relationship between physical activity and CVD risks: physically active individuals have a greater chance of employment, and employment further mitigates CVD risks. We also find an indication of the selection of the healthy into employment in the causal relationship between GP visits, having a job, and CVD risks. CONCLUSION: A corresponding set of policy actions stem from these findings. These include reinforcing the change of perceptions of CVD risks and lowering barriers to health care; raising awareness of the free preventive check-up program in the “high CVD risk” group; making sports and exercise accessible to the elderly; and using off-putting labels on alcohol products as behavioral nudges among “physically active but drinking” males.
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spelling pubmed-100848662023-04-11 Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach Kaneva, Maria Jakovljevic, Mihajlo Risk Manag Healthc Policy Original Research PURPOSE: Despite much attention within the literature, the multiple risk factors associated with CVD mortality in Russia are still not fully understood. Drawing on the Health Belief Model as a theoretical framework, we aim to elicit socioeconomic and behavioral determinants of cardiovascular risks in Russian men and women. METHODS: Using the Know Your Heart project data, we utilize regression analysis and then structural equation modeling (latent class analysis and mediation analysis) to study the determinants of CVD risks. RESULTS: OLS and ordered logit regressions show that the key factors defining cardiovascular health behaviors in Russia are health-related actions to reduce the perceived threat of diseases (physical activity and GP visits), perceived barriers to behavioral change (financial constraints), and cues to action (awareness of the federal health check-up program). The latent class analysis further identifies three distinct groups of the population with different CVD risk levels. Over one-third of respondents belong to the “high CVD risk” class characterized by the highest share of smokers and alcohol abusers who evade contact with primary care and face financial constraints. In the mediation analysis, we find that employment mediates the relationship between physical activity and CVD risks: physically active individuals have a greater chance of employment, and employment further mitigates CVD risks. We also find an indication of the selection of the healthy into employment in the causal relationship between GP visits, having a job, and CVD risks. CONCLUSION: A corresponding set of policy actions stem from these findings. These include reinforcing the change of perceptions of CVD risks and lowering barriers to health care; raising awareness of the free preventive check-up program in the “high CVD risk” group; making sports and exercise accessible to the elderly; and using off-putting labels on alcohol products as behavioral nudges among “physically active but drinking” males. Dove 2023-04-06 /pmc/articles/PMC10084866/ /pubmed/37050922 http://dx.doi.org/10.2147/RMHP.S388873 Text en © 2023 Kaneva and Jakovljevic. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Kaneva, Maria
Jakovljevic, Mihajlo
Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach
title Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach
title_full Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach
title_fullStr Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach
title_full_unstemmed Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach
title_short Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach
title_sort socioeconomic and behavioral determinants of cardiovascular risk in russia: a structural equation modeling approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084866/
https://www.ncbi.nlm.nih.gov/pubmed/37050922
http://dx.doi.org/10.2147/RMHP.S388873
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