André B Gadelha1, Jonathan Myers2, Sérgio Moreira3, Maurílio T Dutra1, Marisete P Safons1, Ricardo M Lima4. 1. University of Brasília, Brasília, Brazil. 2. Division of Cardiology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Stanford University, Stanford, CA, USA. 3. Federal University of Vale do São Francisco, Petrolina, Brazil. 4. University of Brasília, Brasília, Brazil. Electronic address: ricardomoreno@unb.br.
Abstract
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 88cm, 0.57cm/cm, 26.85kg/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.
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 88cm, 0.57cm/cm, 26.85kg/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.
Authors: Irene Coll-Risco; Pedro Acosta-Manzano; Milkana Borges-Cosic; Daniel Camiletti-Moiron; Pilar Aranda; Alberto Soriano-Maldonado; Virginia A Aparicio Journal: J Clin Med Date: 2019-10-14 Impact factor: 4.241
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