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Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study
Cardiovascular disease (CVD) primordial prevention tools applicable to diverse populations are scarce. Our aim was to assess the performance of a lifestyle-based tool to estimate CVD risk in an African American population. The Jackson Heart Study is a prospective cohort including 5306 African Americ...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196953/ https://www.ncbi.nlm.nih.gov/pubmed/34067473 http://dx.doi.org/10.3390/jcm10112252 |
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author | Sotos-Prieto, Mercedes Zhao, Songzhu Kline, David Brock, Guy Gooding, Holly Mattei, Josiemer Rodriguez-Artalejo, Fernando Min, Yuan-I Rimm, Eric B. Tucker, Katherine L. Joseph, Joshua J. |
author_facet | Sotos-Prieto, Mercedes Zhao, Songzhu Kline, David Brock, Guy Gooding, Holly Mattei, Josiemer Rodriguez-Artalejo, Fernando Min, Yuan-I Rimm, Eric B. Tucker, Katherine L. Joseph, Joshua J. |
author_sort | Sotos-Prieto, Mercedes |
collection | PubMed |
description | Cardiovascular disease (CVD) primordial prevention tools applicable to diverse populations are scarce. Our aim was to assess the performance of a lifestyle-based tool to estimate CVD risk in an African American population. The Jackson Heart Study is a prospective cohort including 5306 African American participants in Jackson, Mississippi (2000–2004), with a mean follow up of 12 years. The Healthy Heart Score is a lifestyle-based CVD risk prediction model based on nine components: body mass index (BMI), physical activity, smoking, and a 5-component diet score. Gender-specific beta coefficients from its derivation cohorts were used to assess the performance of the Healthy Heart Score. Model discrimination was assessed using Harrell’s C-Index for survival data and time dependent Area Under the Curve. Model calibration was evaluated through calibration plots. A total of 189 CVD events occurred. The Healthy Heart Score showed high-moderate discrimination for CVD events (C-statistic 0.75 [95% CI, 0.71–0.78]) but with little improvement over the age-only model. Both the age-only and Healthy Heart Score models had better performance in participants without diabetes at baseline and showed good calibration. In African Americans, the Healthy Heart Score does not improve prediction of mid-life CVD events beyond what is obtained by age alone. |
format | Online Article Text |
id | pubmed-8196953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81969532021-06-13 Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study Sotos-Prieto, Mercedes Zhao, Songzhu Kline, David Brock, Guy Gooding, Holly Mattei, Josiemer Rodriguez-Artalejo, Fernando Min, Yuan-I Rimm, Eric B. Tucker, Katherine L. Joseph, Joshua J. J Clin Med Article Cardiovascular disease (CVD) primordial prevention tools applicable to diverse populations are scarce. Our aim was to assess the performance of a lifestyle-based tool to estimate CVD risk in an African American population. The Jackson Heart Study is a prospective cohort including 5306 African American participants in Jackson, Mississippi (2000–2004), with a mean follow up of 12 years. The Healthy Heart Score is a lifestyle-based CVD risk prediction model based on nine components: body mass index (BMI), physical activity, smoking, and a 5-component diet score. Gender-specific beta coefficients from its derivation cohorts were used to assess the performance of the Healthy Heart Score. Model discrimination was assessed using Harrell’s C-Index for survival data and time dependent Area Under the Curve. Model calibration was evaluated through calibration plots. A total of 189 CVD events occurred. The Healthy Heart Score showed high-moderate discrimination for CVD events (C-statistic 0.75 [95% CI, 0.71–0.78]) but with little improvement over the age-only model. Both the age-only and Healthy Heart Score models had better performance in participants without diabetes at baseline and showed good calibration. In African Americans, the Healthy Heart Score does not improve prediction of mid-life CVD events beyond what is obtained by age alone. MDPI 2021-05-22 /pmc/articles/PMC8196953/ /pubmed/34067473 http://dx.doi.org/10.3390/jcm10112252 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sotos-Prieto, Mercedes Zhao, Songzhu Kline, David Brock, Guy Gooding, Holly Mattei, Josiemer Rodriguez-Artalejo, Fernando Min, Yuan-I Rimm, Eric B. Tucker, Katherine L. Joseph, Joshua J. Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study |
title | Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study |
title_full | Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study |
title_fullStr | Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study |
title_full_unstemmed | Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study |
title_short | Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study |
title_sort | application of a lifestyle-based score to predict cardiovascular risk in african americans: the jackson heart study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196953/ https://www.ncbi.nlm.nih.gov/pubmed/34067473 http://dx.doi.org/10.3390/jcm10112252 |
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