Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan

BackgroundThe rising global prevalence of metabolic syndrome (MetS), characterized by a constellation of cardiovascular risk factors, underscores the urgent need to identify reliable predictive biomarkers. We hypothesize that an elevated atherogenic index of plasma (AIP) predicts MetS risk through l...

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Main Authors: Liang-Sien Chen, Yu-Rui Chen, Yi-Hsiu Lin, Hung-Keng Wu, Yan Wen Lee, Jau-Yuan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Endocrinology
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Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1438254/full
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author Liang-Sien Chen
Liang-Sien Chen
Liang-Sien Chen
Liang-Sien Chen
Yu-Rui Chen
Yu-Rui Chen
Yi-Hsiu Lin
Yi-Hsiu Lin
Hung-Keng Wu
Hung-Keng Wu
Yan Wen Lee
Jau-Yuan Chen
Jau-Yuan Chen
author_facet Liang-Sien Chen
Liang-Sien Chen
Liang-Sien Chen
Liang-Sien Chen
Yu-Rui Chen
Yu-Rui Chen
Yi-Hsiu Lin
Yi-Hsiu Lin
Hung-Keng Wu
Hung-Keng Wu
Yan Wen Lee
Jau-Yuan Chen
Jau-Yuan Chen
author_sort Liang-Sien Chen
collection DOAJ
description BackgroundThe rising global prevalence of metabolic syndrome (MetS), characterized by a constellation of cardiovascular risk factors, underscores the urgent need to identify reliable predictive biomarkers. We hypothesize that an elevated atherogenic index of plasma (AIP) predicts MetS risk through lipid imbalance, but population-specific variations in its predictive strength remain unexplored. Our study aimed to assess AIP), a ratio of triglycerides to high-density lipoprotein cholesterol, as a predictor of MetS.MethodBetween 2014 and 2018, our cross-sectional study collected and analyzed health examination data from 9,202 Northern Taiwan Medical Center employees without cardiovascular diseases, diabetes, and end-stage renal disease (ESRD). Our study classified AIP levels equally into three tertiles and evaluated their impact on MetS through a logistic regression model.ResultsAfter adjusting for age, gender, BMI, SBP, FPG, and LDL in our models, the ORs for MetS in the second and third tertiles of the AIP were 3.81 (95% CI: 2.33 to 6.21; OR: 37.14, 95%: 23.22 to 59.39). In addition, women have a higher MetS risk associated with elevated AIP than men across all models.ConclusionOur research identified the AIP as a significant predictive marker for the prevalence of MetS, suggesting its potential utility in clinical risk assessment and indicating the need for further research to explore its application in preventive strategies and therapeutic interventions.
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spelling doaj-art-8ddad92c0f664e73b633ad46eee021282025-01-13T05:10:15ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-01-011510.3389/fendo.2024.14382541438254Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern TaiwanLiang-Sien Chen0Liang-Sien Chen1Liang-Sien Chen2Liang-Sien Chen3Yu-Rui Chen4Yu-Rui Chen5Yi-Hsiu Lin6Yi-Hsiu Lin7Hung-Keng Wu8Hung-Keng Wu9Yan Wen Lee10Jau-Yuan Chen11Jau-Yuan Chen12Department of Family Medicine, Chang-Gung Memorial Hospital, Taoyuan, TaiwanCollege of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Medication Education, Chang-Gung Memorial Hospital, Taoyuan, TaiwanSchool of Public Health, Taipei Medical University, Taipei, TaiwanCollege of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Medication Education, Chang-Gung Memorial Hospital, Taoyuan, TaiwanCollege of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Medication Education, Chang-Gung Memorial Hospital, Taoyuan, TaiwanDepartment of Family Medicine, Chang-Gung Memorial Hospital, Taoyuan, TaiwanDepartment of Medication Education, Chang-Gung Memorial Hospital, Taoyuan, TaiwanDepartment of Family Medicine, Chang-Gung Memorial Hospital, Taoyuan, TaiwanDepartment of Family Medicine, Chang-Gung Memorial Hospital, Taoyuan, TaiwanCollege of Medicine, Chang Gung University, Taoyuan, TaiwanBackgroundThe rising global prevalence of metabolic syndrome (MetS), characterized by a constellation of cardiovascular risk factors, underscores the urgent need to identify reliable predictive biomarkers. We hypothesize that an elevated atherogenic index of plasma (AIP) predicts MetS risk through lipid imbalance, but population-specific variations in its predictive strength remain unexplored. Our study aimed to assess AIP), a ratio of triglycerides to high-density lipoprotein cholesterol, as a predictor of MetS.MethodBetween 2014 and 2018, our cross-sectional study collected and analyzed health examination data from 9,202 Northern Taiwan Medical Center employees without cardiovascular diseases, diabetes, and end-stage renal disease (ESRD). Our study classified AIP levels equally into three tertiles and evaluated their impact on MetS through a logistic regression model.ResultsAfter adjusting for age, gender, BMI, SBP, FPG, and LDL in our models, the ORs for MetS in the second and third tertiles of the AIP were 3.81 (95% CI: 2.33 to 6.21; OR: 37.14, 95%: 23.22 to 59.39). In addition, women have a higher MetS risk associated with elevated AIP than men across all models.ConclusionOur research identified the AIP as a significant predictive marker for the prevalence of MetS, suggesting its potential utility in clinical risk assessment and indicating the need for further research to explore its application in preventive strategies and therapeutic interventions.https://www.frontiersin.org/articles/10.3389/fendo.2024.1438254/fullatherogenic index of plasmatriglycerideshigh-density lipoprotein cholesterolmetabolic syndromewomen
spellingShingle Liang-Sien Chen
Liang-Sien Chen
Liang-Sien Chen
Liang-Sien Chen
Yu-Rui Chen
Yu-Rui Chen
Yi-Hsiu Lin
Yi-Hsiu Lin
Hung-Keng Wu
Hung-Keng Wu
Yan Wen Lee
Jau-Yuan Chen
Jau-Yuan Chen
Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan
Frontiers in Endocrinology
atherogenic index of plasma
triglycerides
high-density lipoprotein cholesterol
metabolic syndrome
women
title Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan
title_full Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan
title_fullStr Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan
title_full_unstemmed Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan
title_short Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan
title_sort evaluating atherogenic index of plasma as a predictor for metabolic syndrome a cross sectional analysis from northern taiwan
topic atherogenic index of plasma
triglycerides
high-density lipoprotein cholesterol
metabolic syndrome
women
url https://www.frontiersin.org/articles/10.3389/fendo.2024.1438254/full
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