Novel Mathematic Indexes to Identify Subclinical Atherosclerosis in Different Obesity Phenotypes of Perimenopausal/Menopausal Women.

Evidence shows that novel adiposity and atherosclerotic index perform better than individual lipids or traditional cardiometabolic risks in predicting cardiovascular disease (CVD). Identifying mathematic indexes both adiposity and atherogenic indexes can serve as a quick and simple tool for identifying subclinical atherosclerosis and monitoring population at risk of CVD.

To examine the relationship between atherogenic index and adiposity index to identify subclinical atherosclerosis using carotid intima media thickness (CIMT) in specific population groups of central obesity and general obesity phenotype in perimenopausal/menopausal women.

Data from 130 perimenopausal/menopausal participants with 41% being central obesity phenotype was reviewed. Most adiposity indexes such as visceral adiposity index (VAI), lipid accumulation product (LAP), and atherosclerotic index of plasma (AIP) were different between abdominal obesity and non-abdominal obesity p = 0.01, p<0.01 and p = 0.03, respectively. The body adiposity index (BAI) and a surface-based body shape index (ASBI) were not different. CIMT was higher in abdominal obesity and different obesity phenotype (p<0.01). In abdominal obesity BAI, LAP, and AIP were correlated withCIMT but only AIP was correlated with CIMT in non-abdominal obesity.

The presence of early atherosclerosis in perimenopausal/menopausal women with abdominal obesity can be predicted using BAI, LAP, and AIP. In perimenopausal/menopausal women with non-abdominal obesity, only AIP was correlated with CIMT.