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Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients

Little is known about which currently available a priori dietary indexes provide best guidance for reducing cardiometabolic risk factors (CMRF) among hyperlipidemic patients. This study was designed to compare the associations between four a priori dietary indexes, including Diet Balance Index (DBI-...

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Autores principales: Gao, Xiaoli, Tian, Zezhong, Zhao, Dan, Li, Kongyao, Zhao, Yimin, Xu, Lin, Wang, Xu, Fan, Die, Ma, Xilin, Ling, Wenhua, Meng, Huicui, Yang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8308401/
https://www.ncbi.nlm.nih.gov/pubmed/34202823
http://dx.doi.org/10.3390/nu13072179
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author Gao, Xiaoli
Tian, Zezhong
Zhao, Dan
Li, Kongyao
Zhao, Yimin
Xu, Lin
Wang, Xu
Fan, Die
Ma, Xilin
Ling, Wenhua
Meng, Huicui
Yang, Yan
author_facet Gao, Xiaoli
Tian, Zezhong
Zhao, Dan
Li, Kongyao
Zhao, Yimin
Xu, Lin
Wang, Xu
Fan, Die
Ma, Xilin
Ling, Wenhua
Meng, Huicui
Yang, Yan
author_sort Gao, Xiaoli
collection PubMed
description Little is known about which currently available a priori dietary indexes provide best guidance for reducing cardiometabolic risk factors (CMRF) among hyperlipidemic patients. This study was designed to compare the associations between four a priori dietary indexes, including Diet Balance Index (DBI-16), Chinese Healthy Eating Index (CHEI), Mediterranean Diet Score (MDS) and Dietary Approaches to Stop Hypertension (DASH) and CMRF among hyperlipidemic patients. A total of 269 participants were enrolled into the cross-sectional study. DBI-16, CHEI, MDS, and DASH scores were calculated using established methods. CMRF was measured using standard methods. DBI-total scores (DBI-TS) were inversely associated with triglyceride concentrations and TC:HDL-C ratio, and positively associated with HDL-C and ApoA1 concentrations (all p < 0.05), while the results for DBI-low bound scores (DBI-LBS) were opposite. DBI-high bound scores (DBI-HBS) and DASH scores were positively and inversely associated with glucose concentrations, respectively (both p < 0.05). Higher diet quality distance (DQD) was positively associated with higher TC, LDL-C and ApoB concentrations, and TC:HDL-C and LDL-C:HDL-C ratios, and lower HDL-C and ApoA1 concentrations and ApoA1:ApoB ratio (all p < 0.05). CHEI scores were inversely associated with triglyceride concentrations (p = 0.036). None of the dietary indexes was associated with blood pressures. DBI-16 provided most comprehensive evaluations of the overall diet quality and balance for optimizing cardiometabolic health among hyperlipidemic individuals.
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spelling pubmed-83084012021-07-25 Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients Gao, Xiaoli Tian, Zezhong Zhao, Dan Li, Kongyao Zhao, Yimin Xu, Lin Wang, Xu Fan, Die Ma, Xilin Ling, Wenhua Meng, Huicui Yang, Yan Nutrients Article Little is known about which currently available a priori dietary indexes provide best guidance for reducing cardiometabolic risk factors (CMRF) among hyperlipidemic patients. This study was designed to compare the associations between four a priori dietary indexes, including Diet Balance Index (DBI-16), Chinese Healthy Eating Index (CHEI), Mediterranean Diet Score (MDS) and Dietary Approaches to Stop Hypertension (DASH) and CMRF among hyperlipidemic patients. A total of 269 participants were enrolled into the cross-sectional study. DBI-16, CHEI, MDS, and DASH scores were calculated using established methods. CMRF was measured using standard methods. DBI-total scores (DBI-TS) were inversely associated with triglyceride concentrations and TC:HDL-C ratio, and positively associated with HDL-C and ApoA1 concentrations (all p < 0.05), while the results for DBI-low bound scores (DBI-LBS) were opposite. DBI-high bound scores (DBI-HBS) and DASH scores were positively and inversely associated with glucose concentrations, respectively (both p < 0.05). Higher diet quality distance (DQD) was positively associated with higher TC, LDL-C and ApoB concentrations, and TC:HDL-C and LDL-C:HDL-C ratios, and lower HDL-C and ApoA1 concentrations and ApoA1:ApoB ratio (all p < 0.05). CHEI scores were inversely associated with triglyceride concentrations (p = 0.036). None of the dietary indexes was associated with blood pressures. DBI-16 provided most comprehensive evaluations of the overall diet quality and balance for optimizing cardiometabolic health among hyperlipidemic individuals. MDPI 2021-06-24 /pmc/articles/PMC8308401/ /pubmed/34202823 http://dx.doi.org/10.3390/nu13072179 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
Gao, Xiaoli
Tian, Zezhong
Zhao, Dan
Li, Kongyao
Zhao, Yimin
Xu, Lin
Wang, Xu
Fan, Die
Ma, Xilin
Ling, Wenhua
Meng, Huicui
Yang, Yan
Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients
title Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients
title_full Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients
title_fullStr Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients
title_full_unstemmed Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients
title_short Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients
title_sort associations between adherence to four a priori dietary indexes and cardiometabolic risk factors among hyperlipidemic patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8308401/
https://www.ncbi.nlm.nih.gov/pubmed/34202823
http://dx.doi.org/10.3390/nu13072179
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