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Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data

INTRODUCTION: People living in obesogenic environments, with limited access to healthful food outlets and exercise facilities, generally have poor health. Previous research suggests that behavioral risk factors and indicators of physiological functioning may mediate this link; however, no studies to...

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Autores principales: Guo, Fangqi, Bostean, Georgiana, Berardi, Vincent, Velasquez, Alfredo J., Robinette, Jennifer W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994874/
https://www.ncbi.nlm.nih.gov/pubmed/35399056
http://dx.doi.org/10.1186/s12889-022-13100-4
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author Guo, Fangqi
Bostean, Georgiana
Berardi, Vincent
Velasquez, Alfredo J.
Robinette, Jennifer W.
author_facet Guo, Fangqi
Bostean, Georgiana
Berardi, Vincent
Velasquez, Alfredo J.
Robinette, Jennifer W.
author_sort Guo, Fangqi
collection PubMed
description INTRODUCTION: People living in obesogenic environments, with limited access to healthful food outlets and exercise facilities, generally have poor health. Previous research suggests that behavioral risk factors and indicators of physiological functioning may mediate this link; however, no studies to date have had the requisite data to investigate multi-level behavioral and physiological risk factors simultaneously. The present study conducted serial and parallel mediation analyses to examine behavioral and physiological pathways explaining the association between environmental obesogenicity and cardiovascular disease (CVD). METHODS: This cross-sectional observational study used data from the 2012–2016 Health and Retirement Study, a representative survey of US older adults (n = 12,482, mean age 65.9). Environmental obesogenicity was operationalized as a combined score consisting of nine environmental measures of food and physical activity. CVD and health-compromising behaviors (diet, alcohol consumption, smoking, and exercise) were self-reported. Physiological dysregulation was assessed with measured blood pressure, heart rate, HbA1c, cholesterol levels, BMI, and C-reactive protein. The Hayes Process Macro was used to examine serial and parallel paths through health-compromising behaviors and physiological dysregulation in the environmental obesogenicity-CVD link. RESULTS: People living in more obesogenic environments had greater odds of self-reported CVD (odds ratio = 1.074, 95% confidence interval (CI): 1.028, 1.122), engaged in more health-compromising behaviors (β = 0.026, 95% CI: 0.008, 0.044), and had greater physiological dysregulation (β = 0.035, 95% CI: 0.017, 0.054). Combined, health-compromising behaviors and physiological dysregulation accounted for 7% of the total effects of environmental obesogenicity on CVD. CONCLUSION: Behavioral and physiological pathways partially explain the environmental obesogenicity-CVD association. Obesogenic environments may stymie the success of cardiovascular health-promotion programs by reducing access to resources supporting healthy lifestyles. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13100-4.
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spelling pubmed-89948742022-04-11 Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data Guo, Fangqi Bostean, Georgiana Berardi, Vincent Velasquez, Alfredo J. Robinette, Jennifer W. BMC Public Health Research INTRODUCTION: People living in obesogenic environments, with limited access to healthful food outlets and exercise facilities, generally have poor health. Previous research suggests that behavioral risk factors and indicators of physiological functioning may mediate this link; however, no studies to date have had the requisite data to investigate multi-level behavioral and physiological risk factors simultaneously. The present study conducted serial and parallel mediation analyses to examine behavioral and physiological pathways explaining the association between environmental obesogenicity and cardiovascular disease (CVD). METHODS: This cross-sectional observational study used data from the 2012–2016 Health and Retirement Study, a representative survey of US older adults (n = 12,482, mean age 65.9). Environmental obesogenicity was operationalized as a combined score consisting of nine environmental measures of food and physical activity. CVD and health-compromising behaviors (diet, alcohol consumption, smoking, and exercise) were self-reported. Physiological dysregulation was assessed with measured blood pressure, heart rate, HbA1c, cholesterol levels, BMI, and C-reactive protein. The Hayes Process Macro was used to examine serial and parallel paths through health-compromising behaviors and physiological dysregulation in the environmental obesogenicity-CVD link. RESULTS: People living in more obesogenic environments had greater odds of self-reported CVD (odds ratio = 1.074, 95% confidence interval (CI): 1.028, 1.122), engaged in more health-compromising behaviors (β = 0.026, 95% CI: 0.008, 0.044), and had greater physiological dysregulation (β = 0.035, 95% CI: 0.017, 0.054). Combined, health-compromising behaviors and physiological dysregulation accounted for 7% of the total effects of environmental obesogenicity on CVD. CONCLUSION: Behavioral and physiological pathways partially explain the environmental obesogenicity-CVD association. Obesogenic environments may stymie the success of cardiovascular health-promotion programs by reducing access to resources supporting healthy lifestyles. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13100-4. BioMed Central 2022-04-10 /pmc/articles/PMC8994874/ /pubmed/35399056 http://dx.doi.org/10.1186/s12889-022-13100-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Guo, Fangqi
Bostean, Georgiana
Berardi, Vincent
Velasquez, Alfredo J.
Robinette, Jennifer W.
Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data
title Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data
title_full Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data
title_fullStr Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data
title_full_unstemmed Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data
title_short Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data
title_sort obesogenic environments and cardiovascular disease: a path analysis using us nationally representative data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994874/
https://www.ncbi.nlm.nih.gov/pubmed/35399056
http://dx.doi.org/10.1186/s12889-022-13100-4
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