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Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women

OBJECTIVES: This study assessed the CVD risk factors among Filipino women (FW) in Korea and compared them with FW in the Philippines and women in Korea (KW). METHODS: A cohort of 504 women from the Filipino Women's Health and Diet Study (FiLWHEL) aged 20–57 years old were age-matched (1:1 ratio...

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Autores principales: Provido, Sherlyn Mae P., Abris, Grace P., Lee, Heejin, Okekunle, Akinkunmi Paul, Gironella, Glen Melvin, Capanzana, Mario V., Chung, Grace H., Hong, Sangmo, Yu, Sung Hoon, Lee, Chang Beom, Lee, Jung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064574/
https://www.ncbi.nlm.nih.gov/pubmed/36997917
http://dx.doi.org/10.1186/s12905-023-02218-1
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author Provido, Sherlyn Mae P.
Abris, Grace P.
Lee, Heejin
Okekunle, Akinkunmi Paul
Gironella, Glen Melvin
Capanzana, Mario V.
Chung, Grace H.
Hong, Sangmo
Yu, Sung Hoon
Lee, Chang Beom
Lee, Jung Eun
author_facet Provido, Sherlyn Mae P.
Abris, Grace P.
Lee, Heejin
Okekunle, Akinkunmi Paul
Gironella, Glen Melvin
Capanzana, Mario V.
Chung, Grace H.
Hong, Sangmo
Yu, Sung Hoon
Lee, Chang Beom
Lee, Jung Eun
author_sort Provido, Sherlyn Mae P.
collection PubMed
description OBJECTIVES: This study assessed the CVD risk factors among Filipino women (FW) in Korea and compared them with FW in the Philippines and women in Korea (KW). METHODS: A cohort of 504 women from the Filipino Women's Health and Diet Study (FiLWHEL) aged 20–57 years old were age-matched (1:1 ratio) with women from the 2013 National Nutrition Survey in the Philippines and the 2013–2015 Korean National Health and Nutrition Examination Survey. Anthropometric data, blood pressure (BP), lipid and glucose levels were compared across the four populations by calculating the odds ratio (OR)s and 95% confidence interval (CI)s using conditional logistic regression models. RESULTS: Compared to KW, FW in Korea and FW in the Philippines were more than 2 and 3 times higher odds of having obesity for BMI ≥ 30 kg/m(2) and waist circumference ≥ 88 cm, respectively. However, FW in Korea had the highest odds (OR 5.51, 95% CI 3.18–9.56) of having hypertension compared to KW. FW in the Philippines had the highest odds of having dyslipidemia (compared to KW, total cholesterol ≥ 200 mg/dL: OR 8.83, 95% CI 5.30–14.71; LDL-C ≥ 130 mg/dL: OR 3.25, 95% CI 2.13–4.98; and triglyceride ≥ 150 mg/dL: OR 2.59, 95% CI 1.59–4.22), but FW in Korea and KW had similar prevalence of dyslipidemia. CONCLUSIONS: FW in Korea had higher prevalence of obesity and hypertension, with similar prevalence of dyslipidemia compared to KW in this sample. FW in the Philippines had higher prevalence of dyslipidemia compared to FW in Korea. Further prospective studies are warranted to examine the CVD risk factors among continental and native-born Filipino women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-023-02218-1.
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spelling pubmed-100645742023-04-01 Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women Provido, Sherlyn Mae P. Abris, Grace P. Lee, Heejin Okekunle, Akinkunmi Paul Gironella, Glen Melvin Capanzana, Mario V. Chung, Grace H. Hong, Sangmo Yu, Sung Hoon Lee, Chang Beom Lee, Jung Eun BMC Womens Health Research OBJECTIVES: This study assessed the CVD risk factors among Filipino women (FW) in Korea and compared them with FW in the Philippines and women in Korea (KW). METHODS: A cohort of 504 women from the Filipino Women's Health and Diet Study (FiLWHEL) aged 20–57 years old were age-matched (1:1 ratio) with women from the 2013 National Nutrition Survey in the Philippines and the 2013–2015 Korean National Health and Nutrition Examination Survey. Anthropometric data, blood pressure (BP), lipid and glucose levels were compared across the four populations by calculating the odds ratio (OR)s and 95% confidence interval (CI)s using conditional logistic regression models. RESULTS: Compared to KW, FW in Korea and FW in the Philippines were more than 2 and 3 times higher odds of having obesity for BMI ≥ 30 kg/m(2) and waist circumference ≥ 88 cm, respectively. However, FW in Korea had the highest odds (OR 5.51, 95% CI 3.18–9.56) of having hypertension compared to KW. FW in the Philippines had the highest odds of having dyslipidemia (compared to KW, total cholesterol ≥ 200 mg/dL: OR 8.83, 95% CI 5.30–14.71; LDL-C ≥ 130 mg/dL: OR 3.25, 95% CI 2.13–4.98; and triglyceride ≥ 150 mg/dL: OR 2.59, 95% CI 1.59–4.22), but FW in Korea and KW had similar prevalence of dyslipidemia. CONCLUSIONS: FW in Korea had higher prevalence of obesity and hypertension, with similar prevalence of dyslipidemia compared to KW in this sample. FW in the Philippines had higher prevalence of dyslipidemia compared to FW in Korea. Further prospective studies are warranted to examine the CVD risk factors among continental and native-born Filipino women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-023-02218-1. BioMed Central 2023-03-30 /pmc/articles/PMC10064574/ /pubmed/36997917 http://dx.doi.org/10.1186/s12905-023-02218-1 Text en © The Author(s) 2023 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
Provido, Sherlyn Mae P.
Abris, Grace P.
Lee, Heejin
Okekunle, Akinkunmi Paul
Gironella, Glen Melvin
Capanzana, Mario V.
Chung, Grace H.
Hong, Sangmo
Yu, Sung Hoon
Lee, Chang Beom
Lee, Jung Eun
Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women
title Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women
title_full Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women
title_fullStr Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women
title_full_unstemmed Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women
title_short Comparison of cardiovascular disease risk factors among FiLWHEL (2014–2016), NNS (2013) and KNHANES (2013–2015) women
title_sort comparison of cardiovascular disease risk factors among filwhel (2014–2016), nns (2013) and knhanes (2013–2015) women
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064574/
https://www.ncbi.nlm.nih.gov/pubmed/36997917
http://dx.doi.org/10.1186/s12905-023-02218-1
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