Visceral adiposity index and atherogenic index of plasma as useful predictors of risk of cardiovascular diseases: evidence from a cohort study in Iran

• Published in: Lipids in health and disease Vol. 20; no. 1; p. 82
• Main Authors: Hamzeh, Behrooz, Pasdar, Yahya, Mirzaei, Narmin, Faramani, Roya Safari, Najafi, Farid, Shakiba, Ebrahim, Darbandi, Mitra
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 01-08-2021; BioMed Central; BMC
• Subjects: Adipose tissue; Adipose tissues; Adult; Aged; Atherosclerosis; Blood lipids; Blood pressure; Body fat; Body Mass Index; Cardiovascular Diseases; Cardiovascular Diseases - blood; Cardiovascular Diseases - etiology; Cholesterol; Cholesterol, HDL - blood; Cohort analysis; Complications and side effects; Cross-Sectional Studies; Data analysis; Data collection; Diabetes; Diabetes mellitus; Dyslipidemia; Ethnicity; Female; Health aspects; Heart Disease Risk Factors; High density lipoprotein; Humans; Hypertension; Intra-Abdominal Fat - pathology; Iran - epidemiology; Lipoproteins; Male; Males; Measurement; Metabolic syndrome; Metabolism; Middle Aged; Obesity; Persian; Primary Prevention; Questionnaires; Regression analysis; Risk factors; Risk groups; Triglycerides - blood; Variance analysis; Iran; Body Mass Index; Persian; Obesity; Cardiovascular Diseases; Primary Prevention; Cholesterol
• ISSN: 1476-511X; 1476-511X
• DOI: 10.1186/s12944-021-01505-w

Visceral adiposity index (VAI) and atherogenic index of plasma (AIP) are relatively new indicators for predicting non-communicable diseases (NCDs). Therefore, the present study was done to assess the association of AIP and VAI with risk of cardiovascular diseases (CVDs).
This cross-sectional study was conducted on 7,362 individuals aged between 35 and 65 years old participated in Ravansar non-communicable diseases (RaNCD) cohort study. AIP was calculated based on levels of triglyceride and high -density lipoprotein cholesterol (HDL-C). VAI was calculated using values of body mass index (BMI), waist circumference (WC), triglyceride, and HDL-C. Logistic regression models were used to assess the association of AIP and VAI with risk of CVDs.
Mean values of anthropometric indices, lipid profile, AIP, and VAI were significantly higher in patients with CVDs than individuals without CVDs (P < 0.001). Mean values of anthropometric indices, lipid profile, and NCDs including hypertension, dyslipidemia, diabetes, metabolic syndrome (MetS), and CVDs in the third tertile of AIP and VAI were significantly increased compared to the first tertile (P < 0.001). After adjusting confounding factors, risk of CVDs in the third tertile of AIP was (OR = 1.32, 95 % CI: 1.03, 1.69) significantly increased compared to the first tertile. Risk of CVDs in the third tertile of VAI was (OR = 1.48, 95 % CI: 1.12, 1.97) significantly increased compared to the first tertile.
According to the findings, AIP and VAI were positively associated with risk of CVDs. Therefore, AIP and VAI can be useful in identifying high-risk subgroups of CVDs in general population.