Relationship between the body adiposity index and cardiometabolic risk factors in obese postmenopausal women.
OBJECTIVE
The purpose of the present secondary analysis study was to investigate the ability of the body adiposity index (BAI) to detect changes in % body fat levels before and after a weight loss intervention when compared to % body fat levels measured using dual-energy X-ray absorptiometry (DXA) and to examine the relationship between the BAI with cardiometabolic risk factors.


METHODS
The study population for this secondary analysis included 132 non-diabetic obese sedentary postmenopausal women (age: 57.2 ± 4.7 years, BMI: 35.0 ± 3.7 kg/m(2)) participating in a weight loss intervention that consisted of a calorie-restricted diet with or without resistance training. We measured: (1) visceral fat using CT-scan, (2) body composition using DXA, (3) hip circumference and height from which the BAI was calculated, and (4) cardiometabolic risk factors such as insulin sensitivity (using the hyperinsulinemic-euglycemic clamp), blood pressure as well as fasting plasma lipids, hsC-reactive protein (CRP), leptin, and glucose.


RESULTS
Percent body fat levels for both methods significantly decreased after the weight loss intervention. In addition, the percent change in % body fat levels after the weight loss intervention was significantly different between % body fat measured using the DXA and the BAI (-4.5 ± 6.6 vs. -5.8 ± 5.9%; p = 0.03, respectively). However, we observed a good overall agreement between the two methods, as shown by the Bland-Altman analysis, for percent change in % body fat. Furthermore, similar correlations were observed between both measures of % body fat with cardiometabolic risk factors. However, results from the multiple linear regression analysis showed that % body fat using the BAI appeared to predict cardiometabolic risk factors differently than % body fat using the DXA in our cohort.


CONCLUSIONS
Estimating % body fat using the BAI seems to accurately trace variations of % body fat after weight loss. However, this index showed differences in predicting cardiometabolic risk factors when compared to % body fat measured using DXA.
Department of Nutrition, Université de Montréal, Montreal, QC, Canada.
Belinda
B
Elisha
Rémi
R
Rabasa-Lhoret
Virginie
V
Messier
Joseph
J
Abdulnour
Antony D
AD
Karelis
D015502:Absorptiometry, Photon; D050154:Adiposity; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D001823:Body Composition; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D031204:Caloric Restriction / Q000379:methods*; D002318:Cardiovascular Diseases / Q000097:blood / Q000503:physiopathology*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D050152:Intra-Abdominal Fat / Q000503:physiopathology; D020738:Leptin / Q000097:blood; D016014:Linear Models; D008875:Middle Aged; D009765:Obesity / Q000097:blood / Q000503:physiopathology*; D017698:Postmenopause / Q000097:blood*; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D015431:Weight Loss
D001786:Blood Glucose; D020738:Leptin; D014280:Triglycerides; D002097:C-Reactive Protein