Visceral adiposity index and atherogenic index of plasma as useful predictors of risk of cardiovascular diseases: evidence from a cohort study in Iran
Autor: | Narmin Mirzaei, Ebrahim Shakiba, Behrooz Hamzeh, Mitra Darbandi, Roya Safari Faramani, Farid Najafi, Yahya Pasdar |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male medicine.medical_specialty Waist RC620-627 Endocrinology Diabetes and Metabolism Clinical Biochemistry Population 030209 endocrinology & metabolism 030204 cardiovascular system & hematology Intra-Abdominal Fat Iran Persian Body Mass Index 03 medical and health sciences 0302 clinical medicine Endocrinology Internal medicine Medicine Humans Obesity education Nutritional diseases. Deficiency diseases Triglycerides Aged education.field_of_study medicine.diagnostic_test business.industry Research Biochemistry (medical) Confounding Cholesterol HDL Middle Aged medicine.disease Primary Prevention Cholesterol Cross-Sectional Studies Cardiovascular Diseases Heart Disease Risk Factors Female Metabolic syndrome business Lipid profile Body mass index Dyslipidemia Cohort study |
Zdroj: | Lipids in Health and Disease Lipids in Health and Disease, Vol 20, Iss 1, Pp 1-10 (2021) |
ISSN: | 1476-511X |
Popis: | Background 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). Methods 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. Results Mean values of anthropometric indices, lipid profile, AIP, and VAI were significantly higher in patients with CVDs than individuals without CVDs (P P Conclusions 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. |
Databáze: | OpenAIRE |
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