Background: The mortality rate of cardiovascular disease in females are rising every year, and has been the second leading cause of death in the female population. Previous studies report that body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), and body fat percentage (BF%) may effectively predict the incidence of CAD. However, due to different age, gender and race, the predictors of CAD were different. So far, no study discusses the topic on the middle aged women in Taiwan. Purpose: The aim of this study was to examine the anthropometric indicators that may predict CAD among middle aged women. Methods: Ninety-four middle-aged women who had undergone cardiac catheterization examinations and met the selection criteria were chosen. Based on the examination results, subjects were divided into CAD group (n = 52) and non-CAD group (n = 42). Forty-one healthy subjects who received health examination were invited to participate in this study. Five anthropometric indicators, including BMI, WC, WHR, WHtR, and BF% were measured. One way ANOVA and logistic regressions were used for data analysis. Results: The mean age of the subjects was 54.3±6.9 years old, with BMI 25.6 ±4.6 kg/m^2, WC 79.8±11.3 cm, WHR 0.84±0.08, WHtR 0.51 ±0.08, and BF% 32.5±5.8%. The values of WC, WHR and WHtR were significantly higher in both CAD and non CAD groups than the healthy group. WHR was a significant predictor of CAD after the confounding factors were adjusted. Conclusion: WHR was a significant anthropometric predictor of CAD in middle aged women. The measurement of WHR is economical, simple and convenient, and worth recommending for clinical use.
|Translated title of the contribution||Anthropometric Indicators as Predictors of Coronary Artery Disease among Middle Aged Women|
|Original language||Traditional Chinese|
|Number of pages||14|
|Publication status||Published - Mar 2017|
- middle aged women
- anthropometric indicators
- coronary artery disease