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Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation

BACKGROUND: Various multifactorial elements may contribute toward the urban and rural disparities in cardiovascular disease (CVD) risk, particularly among patients with psychiatric diseases. OBJECTIVE: To investigate whether rural patients diagnosed and treated for Bipolar Disorder (BD) have differe...

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Autores principales: Forero, Juan Pablo, Ferrera, Alexander, Castaño, Jose Daniel, Ardila, Sergio, Mesa, Tanya, Hosgood, Dean, Ferro, Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603855/
https://www.ncbi.nlm.nih.gov/pubmed/34824993
http://dx.doi.org/10.5334/aogh.3479
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author Forero, Juan Pablo
Ferrera, Alexander
Castaño, Jose Daniel
Ardila, Sergio
Mesa, Tanya
Hosgood, Dean
Ferro, Eugenio
author_facet Forero, Juan Pablo
Ferrera, Alexander
Castaño, Jose Daniel
Ardila, Sergio
Mesa, Tanya
Hosgood, Dean
Ferro, Eugenio
author_sort Forero, Juan Pablo
collection PubMed
description BACKGROUND: Various multifactorial elements may contribute toward the urban and rural disparities in cardiovascular disease (CVD) risk, particularly among patients with psychiatric diseases. OBJECTIVE: To investigate whether rural patients diagnosed and treated for Bipolar Disorder (BD) have different risk profiles and outcomes of CVD compared to urban (BD) patients. METHODS: We conducted a case-control study that included 125 BD patients (cases) from rural Filadelfia, Colombia and 250 BD patients (controls) treated in Bogotá, Colombia. Cases and controls were 2:1, matched by age and sex. We applied the Framingham Heart Study (FHS) risk calculator to assess risk. Differences by rural/urban status (i.e., case-control status) were assessed by chi-square, paired t-tests, and logistic regression. FINDINGS: Rural BD patients were found to have lower education (p = 1.0 × 10(–4)), alcohol consumption (p = 3.0 × 10(–4)), smoking (p = 0.015), psychiatric (p = 1.0 × 10(–4)) and CV family history (p = 0.0042) compared to urban BD patients. Rural BD patients were 81% more likely to have a more favorable CVD risk profile (OR: 0.19, 95% CI [0.06–0.62]) than urban BD patients, despite rural BD patients having increased CVD morbidity (p = 1.0 × 10(–2)). CONCLUSION: Based on increase in morbidity but lower predictive risk in the rural population, our study suggests that the FHS-CVD calculator may not be optimal to assess CVD risk in this population.
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spelling pubmed-86038552021-11-24 Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation Forero, Juan Pablo Ferrera, Alexander Castaño, Jose Daniel Ardila, Sergio Mesa, Tanya Hosgood, Dean Ferro, Eugenio Ann Glob Health Original Research BACKGROUND: Various multifactorial elements may contribute toward the urban and rural disparities in cardiovascular disease (CVD) risk, particularly among patients with psychiatric diseases. OBJECTIVE: To investigate whether rural patients diagnosed and treated for Bipolar Disorder (BD) have different risk profiles and outcomes of CVD compared to urban (BD) patients. METHODS: We conducted a case-control study that included 125 BD patients (cases) from rural Filadelfia, Colombia and 250 BD patients (controls) treated in Bogotá, Colombia. Cases and controls were 2:1, matched by age and sex. We applied the Framingham Heart Study (FHS) risk calculator to assess risk. Differences by rural/urban status (i.e., case-control status) were assessed by chi-square, paired t-tests, and logistic regression. FINDINGS: Rural BD patients were found to have lower education (p = 1.0 × 10(–4)), alcohol consumption (p = 3.0 × 10(–4)), smoking (p = 0.015), psychiatric (p = 1.0 × 10(–4)) and CV family history (p = 0.0042) compared to urban BD patients. Rural BD patients were 81% more likely to have a more favorable CVD risk profile (OR: 0.19, 95% CI [0.06–0.62]) than urban BD patients, despite rural BD patients having increased CVD morbidity (p = 1.0 × 10(–2)). CONCLUSION: Based on increase in morbidity but lower predictive risk in the rural population, our study suggests that the FHS-CVD calculator may not be optimal to assess CVD risk in this population. Ubiquity Press 2021-11-18 /pmc/articles/PMC8603855/ /pubmed/34824993 http://dx.doi.org/10.5334/aogh.3479 Text en Copyright: © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Forero, Juan Pablo
Ferrera, Alexander
Castaño, Jose Daniel
Ardila, Sergio
Mesa, Tanya
Hosgood, Dean
Ferro, Eugenio
Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation
title Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation
title_full Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation
title_fullStr Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation
title_full_unstemmed Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation
title_short Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation
title_sort bipolar disorder and cardiovascular risk in rural versus urban populations in colombia: a comparative clinical and epidemiological evaluation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603855/
https://www.ncbi.nlm.nih.gov/pubmed/34824993
http://dx.doi.org/10.5334/aogh.3479
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