Irma B Ancheta1, Cynthia A Battie2, Annabelle S Volgman3, Christine V Ancheta4, Latha Palaniappan5. 1. University of Florida, Jacksonville, FL, USA. irmaancheta1@gmail.com. 2. University of North Florida, Jacksonville, FL, USA. 3. Rush University Medical Center, Chicago, IL, USA. 4. University of South Florida, Tampa, FL, USA. 5. Stanford University, Stanford, CA, USA.
Abstract
INTRODUCTION: Although cardiovascular disease (CVD) is a leading cause of morbidity and mortality of Filipino-Americans, conventional CVD risk calculators may not be accurate for this population. CVD risk scores of a group of Filipino-American women (FAW) were measured using the major risk calculators. Secondly, the sensitivity of the various calculators to obesity was determined. METHODS: This is a cross-sectional descriptive study that enrolled 40-65-year-old FAW (n = 236), during a community-based health screening study. Ten-year CVD risk was calculated using the Framingham Risk Score (FRS), Reynolds Risk Score (RRS), and Atherosclerotic Cardiovascular Disease (ASCVD) calculators. The 30-year risk FRS and the lifetime ASCVD calculators were also determined. RESULTS: Levels of predicted CVD risk varied as a function of the calculator. The 10-year ASCVD calculator classified 12 % of participants with ≥10 % risk, but the 10-year FRS and RRS calculators classified all participants with ≤10 % risk. The 30-year "Hard" Lipid and BMI FRS calculators classified 32 and 43 % of participants with high (≥20 %) risk, respectively, while 95 % of participants were classified with ≥20 % risk by the lifetime ASCVD calculator. The percent of participants with elevated CVD risk increased as a function of waist circumference for most risk score calculators. CONCLUSIONS: Differences in risk score as a function of the risk score calculator indicate the need for outcome studies in this population. Increased waist circumference was associated with increased CVD risk scores underscoring the need for obesity control as a primary prevention of CVD in FAW.
INTRODUCTION: Although cardiovascular disease (CVD) is a leading cause of morbidity and mortality of Filipino-Americans, conventional CVD risk calculators may not be accurate for this population. CVD risk scores of a group of Filipino-American women (FAW) were measured using the major risk calculators. Secondly, the sensitivity of the various calculators to obesity was determined. METHODS: This is a cross-sectional descriptive study that enrolled 40-65-year-old FAW (n = 236), during a community-based health screening study. Ten-year CVD risk was calculated using the Framingham Risk Score (FRS), Reynolds Risk Score (RRS), and Atherosclerotic Cardiovascular Disease (ASCVD) calculators. The 30-year risk FRS and the lifetime ASCVD calculators were also determined. RESULTS: Levels of predicted CVD risk varied as a function of the calculator. The 10-year ASCVD calculator classified 12 % of participants with ≥10 % risk, but the 10-year FRS and RRS calculators classified all participants with ≤10 % risk. The 30-year "Hard" Lipid and BMI FRS calculators classified 32 and 43 % of participants with high (≥20 %) risk, respectively, while 95 % of participants were classified with ≥20 % risk by the lifetime ASCVD calculator. The percent of participants with elevated CVD risk increased as a function of waist circumference for most risk score calculators. CONCLUSIONS: Differences in risk score as a function of the risk score calculator indicate the need for outcome studies in this population. Increased waist circumference was associated with increased CVD risk scores underscoring the need for obesity control as a primary prevention of CVD in FAW.
Authors: Jennifer J Salinas; Bassent Abdelbary; Jeffrey Wilson; Monir Hossain; Susan Fisher-Hoch; Joseph McCormick Journal: J Health Care Poor Underserved Date: 2012-05
Authors: Irma B Ancheta; Joan M Carlson; Cynthia A Battie; Nancy Borja-Hart; Sarah Cobb; Christine V Ancheta Journal: Appl Nurs Res Date: 2014-06-12 Impact factor: 2.257
Authors: A E Staiano; B A Reeder; S Elliott; M R Joffres; P Pahwa; S A Kirkland; G Paradis; P T Katzmarzyk Journal: Int J Obes (Lond) Date: 2012-01-17 Impact factor: 5.095
Authors: Alessandro Menotti; Mariapaola Lanti; Enrico Agabiti-Rosei; Luigi Carratelli; Giovanni Cavera; Ada Dormi; Antonio Gaddi; Mario Mancini; Mario Motolese; Maria Lorenza Muiesan; Sandro Muntoni; Sergio Muntoni; Alberto Notarbartolo; Pierluigi Prati; Stefano Remiddi; Alberto Zanchetti Journal: Nutr Metab Cardiovasc Dis Date: 2005-11-16 Impact factor: 4.222
Authors: Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel Journal: Circulation Date: 2008-01-22 Impact factor: 29.690
Authors: Rhodora A Ursua; Nadia Shilpi Islam; David E Aguilar; Laura C Wyatt; S Darius Tandon; Noilyn Abesamis-Mendoza; Potri Ranka Manis Queano Nur; Josephine Rago-Adia; Benjamin Ileto; Mariano J Rey; Chau Trinh-Shevrin Journal: J Community Health Date: 2013-10
Authors: Titus Msoka; Josephine Rogath; Gary Van Guilder; Gibson Kapanda; Yvo Smulders; Marceline Tutu van Furth; John Bartlett; Michiel van Agtmael Journal: HIV AIDS (Auckl) Date: 2021-06-03
Authors: Claire Townsend Ing; Hyeong Jun Ahn; Rachel Kawakami; Andrew Grandinetti; Todd B Seto; Joseph Keawe'aimoku Kaholokula Journal: J Racial Ethn Health Disparities Date: 2020-08-31