Sharanjit Kaur1, Anand Sharma2, Harinder Jot Singh2. 1. Department of Pharmacology, M.M. Medical College and Hospital Kumarhatti Solan, H.P. 2. Department of Physiology, M.M. Medical College and Hospital Kumarhatti Solan, H.P.
Abstract
AIM: To compare the waist related anthropometric measures like waist circumference, waist-to-height ratio (WHtR), waist - hip ratio (WHR) and body mass index (BMI) as predictors of coronary artery disease (CAD) in women. METHODS: The study included 88 women aged 40-80 years. Waist circumference, hip circumference, height, weight, age, and other covariates were collected by questionnaire. The primary endpoint was incident coronary heart disease that was reported by physician. The data was analyzed statistically using χ(2)-test for quantitative data and student t-test. The significance of the results as determined in 95.0% confidence interval. RESULTS: The mean age was 59.07 ± 11.53 in the study group and 54.36 ± 10.84 in the control group. The waist circumference in the study group was higher (95.443 ± 11.187) than the control group (74.886 ± 6.672) (p < 0.001). The mean waist to hip ratio (WHR) was 0.96 ± 0.08 in the study group and 0.78 ± 0.06 in the control group (p < 0.001). The mean waist to height ratio (WHtR) was 0.62 ± 0.07 in the study group and 0.48 ± 0.04 in the control group (p < 0.001). Waist derived measures were superior to BMI in predicting CAD. The unadjusted AUC (95% Confidence Interval) was 0.008 (0.006-0.095) for WHtR, 0.001 (0.00 0.002) for waist - hip ratio, and 1 (0.323-1.766) for body mass index. CONCLUSION: Waist related anthropometric measures are important predictors as CAD risk factors among middle-aged and older women, as compared to BMI.
AIM: To compare the waist related anthropometric measures like waist circumference, waist-to-height ratio (WHtR), waist - hip ratio (WHR) and body mass index (BMI) as predictors of coronary artery disease (CAD) in women. METHODS: The study included 88 women aged 40-80 years. Waist circumference, hip circumference, height, weight, age, and other covariates were collected by questionnaire. The primary endpoint was incident coronary heart disease that was reported by physician. The data was analyzed statistically using χ(2)-test for quantitative data and student t-test. The significance of the results as determined in 95.0% confidence interval. RESULTS: The mean age was 59.07 ± 11.53 in the study group and 54.36 ± 10.84 in the control group. The waist circumference in the study group was higher (95.443 ± 11.187) than the control group (74.886 ± 6.672) (p < 0.001). The mean waist to hip ratio (WHR) was 0.96 ± 0.08 in the study group and 0.78 ± 0.06 in the control group (p < 0.001). The mean waist to height ratio (WHtR) was 0.62 ± 0.07 in the study group and 0.48 ± 0.04 in the control group (p < 0.001). Waist derived measures were superior to BMI in predicting CAD. The unadjusted AUC (95% Confidence Interval) was 0.008 (0.006-0.095) for WHtR, 0.001 (0.00 0.002) for waist - hip ratio, and 1 (0.323-1.766) for body mass index. CONCLUSION: Waist related anthropometric measures are important predictors as CAD risk factors among middle-aged and older women, as compared to BMI.
Entities:
Keywords:
CAD risk factors; Waist cicumference; body-mass index; waist to height ratio; waist – hip ratio
Authors: Amy E Taylor; Shah Ebrahim; Yoav Ben-Shlomo; Richard M Martin; Peter H Whincup; John W Yarnell; S Goya Wannamethee; Debbie A Lawlor Journal: Am J Clin Nutr Date: 2010-01-20 Impact factor: 7.045
Authors: A Romero-Corral; V K Somers; J Sierra-Johnson; R J Thomas; M L Collazo-Clavell; J Korinek; T G Allison; J A Batsis; F H Sert-Kuniyoshi; F Lopez-Jimenez Journal: Int J Obes (Lond) Date: 2008-02-19 Impact factor: 5.095