Novel Mathematic Indexes to Identify Subclinical Atherosclerosis in Different Obesity Phenotypes of Perimenopausal/Menopausal Women
Pattama Tongdee MD*, Porntip Nimkuntod MD**
Affiliation : * School of Obstetrics and Gynecology, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima, Thailand ** School of Internal Medicine, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima, Thailand
Background : 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.
Objective : 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.
Material and Method: The cross-sectional study was conducted with 130 participants, aged 40 to 80 years, between August
2015 and January 2016 in Suranaree University of Technology Hospital, Thailand. CIMT was assessed using a high-
resolution B mode ultrasound system. Traditional anthropometric parameters such as body mass index (BMI), waist
circumference (WC), blood pressure, fasting plasma glucose, lipid profile, and CIMT were assessed in all participants. All
atherogenic indexes and adiposity indexes were calculated.
Results : 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 with
CIMT but only AIP was correlated with CIMT in non-abdominal obesity.
Conclusion : 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.
Keywords : Mathematic index, Atherogenic index, Adiposity index, Subclinical atherosclerosis, Perimenopausal women, Menopausal women
