Atherogenic index of plasma as predictors for metabolic syndrome, hypertension and diabetes mellitus in Taiwan citizens: a 9-year longitudinal study

• Published in: Scientific reports Vol. 11; no. 1; pp. 9900 - 8
• Main Authors: Li, Yen-Wei, Kao, Tung-Wei, Chang, Pi-Kai, Chen, Wei-Liang, Wu, Li-Wei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.05.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 692/163/2743/137/773; 692/163/2743/2037; 692/163/2743/2099; 692/4019/592/75/243; 692/53/2423; Age; Age composition; Cardiovascular diseases; Cholesterol; Diabetes; Diabetes mellitus (non-insulin dependent); Dyslipidemia; High density lipoprotein; Humanities and Social Sciences; Hypertension; Longitudinal studies; Metabolic disorders; Metabolic syndrome; multidisciplinary; Science; Science (multidisciplinary); Taiwan
• DOI: 10.1038/s41598-021-89307-z
• ISSN: 2045-2322

Deeply involved with dyslipidemia, cardiovascular disease has becoming the leading cause of mortality since the early twentieth century in the modern world. Whose correlation with metabolic syndrome (MetS), hypertension and type 2 diabetes mellitus (T2DM) has been well established. We conducted a 9-year longitudinal study to identify the association between easily measured lipid parameters, future MetS, hypertension and T2DM by gender and age distribution. Divided into three groups by age (young age: < 40, middle age: ≥ 40 and < 65 and old age: ≥ 65), 7670 participants, receiving standard medical inspection at Tri-Service General Hospital (TSGH) in Taiwan, had been enrolled in this study. Atherogenic index of plasma (AIP) was a logarithmically transformed ratio of triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C). Through multivariate regression analyses, the hazard ratio (HR) of AIP for MetS, hypertension and T2DM were illustrated. AIP revealed significant association with all the aforementioned diseases through the entire three models for both genders. Additionally, AIP revealed significant correlation which remained still after fully adjustment in MetS, hypertension, and T2DM groups for subjects aged 40–64-year-old. Nevertheless, for participants aged above 65-year-old, AIP only demonstrated significant association in MetS group. Our results explore the promising value of AIP to determine the high-risk subjects, especially meddle-aged ones, having MetS, hypertension, and T2DM in the present and the future.