Comparison of adiposity indices and cut-off values in the prediction of metabolic syndrome in postmenopausal women. Issue 3 (July 2016)

• Record Type: Journal Article
• Authors: Gadelha, André B.; Myers, Jonathan; Moreira, Sérgio; Dutra, Maurílio T.; Safons, Marisete P.; Lima, Ricardo M.
• Is Part Of: Diabetes & metabolic syndrome. Volume 10:Issue 3(2016)
• Page Start: 143
• Page End: 148
• Publication Date: 2016-07
• Subjects: Metabolic syndrome -- Obesity -- Aging -- Menopause; Diabetes -- Periodicals; Metabolism -- Disorders -- Periodicals; Diabetes Mellitus -- Periodicals; Metabolic Diseases -- Periodicals; Diabète -- Périodiques; Métabolisme, Troubles du -- Périodiques; Endocrinologie -- Périodiques; Diabète -- Physiopathologie -- Périodiques; Diabetes; Metabolism -- Disorders; Electronic journals; Periodicals; 616.462
• DOI: 10.1016/j.dsx.2016.01.005
• Languages: English
• ISSNs: 1871-4021

Abstract

Summary: Aims: To compare adiposity indices and to assess their various cut-off values for the prediction of metabolic syndrome (MetS) in postmenopausal women. Methods: One hundred forty nine volunteers (67.17 ± 6.12 years) underwent body composition assessment using DXA and had 5 anthropometric indices measured (Waist Circumference, WC; Waist-to-Height Ratio, WHtR; Body Mass Index, BMI; Body Adiposity Index, BAI; and Conicity Index). Blood pressure was assessed using an oscillometric device and fasting blood samples were collected. MetS was classified according NCEP-ATP III. Cut-off values to predict MetS were obtained using Receiver Operating Characteristic (ROC) curve analyses and odds ratios were also calculated. Results: MetS prevalence was 29.5% and subjects who were classified with MetS showed worse cardiometabolic outcomes and higher anthropometric indices values ( p < 0.05). With the exception of total- and LDL-cholesterol, all remaining variables were significantly correlated with at least one of the adiposity indices, with the strongest relationships observed for the indices reflecting central body fat. The cut-off values were 88 cm, 0.57 cm/cm, 26.85 kg/m 2, 43.7%, 36.34%, and 1.24 units for WC, WHtR, BMI, DXA-derived body fat percentage, BAI, and conicity index, respectively. Significant greater risks for MetS were found for volunteers who had WHtR (odds = 9.08; CI: 1.81–45.47) or WC (odds = 5.20; CI: 1.30–20.73) measurements above cut-off values. Conclusion: Adiposity indices are associated with MetS in postmenopausal women in different degrees. Indices which consider central adiposity such as WC and WHtR have a stronger relationship with MetS compared to DXA-derived body fat percentage, which is considered a gold standard.