Original Research Article
Year: 2023 | Month: July-September | Volume: 8 | Issue: 3 | Pages: 291-295
DOI: https://doi.org/10.52403/ijshr.20230340
Anthropometric Measurements of Android and Gynoid Obesity and Their Association with Cardiovascular Diseases Risk Factors in Obese Young Adults
Rafiah Doi1, Dr. Sweety Shah2
1Postgraduate student, SBB College of Physiotherapy, VS General Hospital, Ahmedabad, India
2PT, Ph.D., SBB College of Physiotherapy, VS General Hospital, Ahmedabad, India
Corresponding Author: Rafiah Doi
ABSTRACT
Background- Obesity is the leading risk-factor of cardiovascular-diseases, which accounts for 23% of Ischemic Heart-Diseases burden. Several studies are done to correlate the effect of BMI on cardiovascular risk-factors. But only few studies are done to compare the effect of obesity on cardiovascular risk-factors. Therefore, this study is to identify the effect of android & gynoid-type of obesity on CVD risk-factors.
Method- Study conducted on 60 obese-adults; Age:20-45 years; BMI 25-29.9kg/m2 (Obese-class Ⅰ WHO-Asian Classification) Demographic and anthropometric data regarding WC, HC, and WHR were recorded. CVD risk-factors by ATP-III definition: High-BP, Low-HDL-C, High-triglycerides, Fasting-glucose. Thus, to observe association of CVD risk-factors between android-obesity & gynoid-obesity.
Result- Result has been obtained from SPSS20. Mean-age & Mean-BMI in Android-obesity were (33.06+7.8) (27.33+1.24) and in Gynoid-obesity were (33.9+7.54) (27.26+1.15) respectively. Comparison between two groups found using independent t-tests. There was significant difference of Triglycerides, Fasting-glucose, Blood-pressure & HDL-C between both groups. Triglycerides (M=158.27), Fasting-glucose (M=121.30), Blood-pressure (SBP; M=132.69, DBP; M=89.03) were higher while HDL-C (M=35.10) is lower in Android-obesity than that of Gynoid(M=110.53), (M=95.77), (SBP; M=116.97, DBP; M=75.50) and (M=46.03), having significant difference p<0.05
Conclusion & Clinical-implications- This study concludes that CVD risk-factors are significantly associated with Android-obesity as compared to Gynoid-obesity.
Keywords: Android-Obesity, Gynoid-obesity, CVD risk-factors, waist-hip-ratio