ABC | Volume 111, Nº5, November 2018

Brief Communication Scorsatto et al Metabolically healthy obese women Arq Bras Cardiol. 2018; 111(5):733-737 Table 1 – Baseline characteristics of the study participants All (n = 239) MHO (n = 181) MUO (n = 58) p value* Age (years) 43.9 ± 10.9 44.0 ± 10.7 43.6 ± 11.7 0.810 Weight (kg) 93.6 ± 16.0 91.5 ± 15.1 100.2 ± 17.0 < 0.001* BMI (kg/m 2 ) 37.2 ± 5.3 36.3 ± 4.9 39.7 ± 5.5 < 0.001* Waist circumference (cm) 107.5 ± 11.6 105.4 ± 10.2 114.3 ± 13.3 < 0.001* Waist/height ratio 67.9 ± 7.1 66.5 ± 6.2 72.1 ± 8.1 < 0.001* Fat mass (kg) 39.6 ± 9.2 38.2 ± 8.5 44.1 ± 10.1 < 0.001* Fat mass (%) 41.9 ± 3.3 41.4 ± 3.4 43.2 ± 2.9 < 0.001* Lean mass (kg) 54.0 ± 7.7 53.2 ± 7.4 56.2 ± 8.2 0.011* Blood glucose (mg/dL) 99.0 ± 32.7 94.1 ± 24.2 114.4 ± 48.1 0.003* Insulin (mg/dL) 8.7 ± 7.0 6.0 ± 3.5 17.4 ± 8.0 < 0.001* Total cholesterol (mg/dL) 200.2 ± 40.9 198.9 ± 3.9 201.9 ± 41.9 0.607 LDL-c (mg/dL) 128.0 ± 39.8 128.9 ± 39.1 124.8 ± 37.3 0.479 HDL-c (mg/dL) 44.5 ± 9.3 44.7 ± 9.6 42.9 ± 9.4 0.193 Triglycerides (mg/dL) 139.0 ± 75.5 128.4 ± 67.2 170.3 ± 89.3 < 0.001* VAI 133.5 ± 92.0 119.4 ± 81.8 177.4 ± 107.7 < 0.001* SBP (mmHg) 124.1 ± 19.8 123.5 ± 20.2 126.1 ± 18.7 0.396 DBP (mmHg) 82.7 ± 10.6 81.6 ± 10.8 82.2 ± 10.1 0.671 Skin color – non-whites % (n) 67.4(161) 71.3(129) 55.2(32) 0.064 Marital status – with partner % (n) 60.7(145) 59.7(108) 63.8(37) 0.944 Education ≤ 11 years % (n) 82.9(198) 82.9(150) 82.7(48) 0.918 Income per capita in reais 658.1 ± 524.4 647.6 ± 496.3 691.1 ± 607.6 0.622 Hypertension % (n) 43.9(105) 38.7(70) 60.3(35) 0.004* Lipid-lowering drugs % (n) 5.0(12) 5.0(9) 5.2(3) 0.952 Hypothyroidism % (n) 5.9(14) 6.6(12) 3.4(2) 0.369 Physical exercise – Yes % (n) 18.8(45) 19.3(35) 17.2(17) 0.722 Menopause – Yes % (n) 34.6(80) 35.6(62) 31.6(18) 0.577 The values are expressed in mean ± standard deviation or frequency (%/n). BMI: body mass index; VAI: visceral adiposity index; SBP: systolic blood pressure; DBP: diastolic blood pressure. To compare the MHO and MUO groups, we used Student’s t-test (for continuous variables) or chi-square test (for categorical variables). P value*: statistically significant difference. there is a lack of information regarding some other variables that have been used to define MHO, such as production of adiponectin and inflammatorymarkers. The strengths of this study include the sample size and the study setting. Furthermore, by easily identifying high-risk obese individuals, this studymaymake lifestyle modification possible. There has been much interest in the paradoxical findings of individuals considered MHO despite increased adiposity. The major challenge was to determine a single parameter for detecting MHO women, given that there is no consensus in literature and that few studies have been conducted in Brazil. Therefore, our study suggests that waist circumference is an easy parameter for identifying MHO women. Author contributions Conception and design of the research and acquisition of data: ScorsattoM, Rosa G, Pimentel AC, Luiz RR, Oliveira GMM; analysis and interpretation of the data: Scorsatto M, Rosa G, Pimentel AC, Oliveira GMM; statistical analysis: Luiz RR; writing of the manuscript: Scorsatto M, Rosa G, Oliveira GMM; critical revision of the manuscript for intellectual contente: ScorsattoM, Rosa G, Luiz RR, Oliveira GMM. Potential Conflict of Interest No potential conflict of interest relevant to this article was reported. Sources of Funding There were no external funding sources for this study. Study Association This article is part of the thesis of Doctoral submitted by Mauara Scorsatto, fromUniversidade Federal do Rio de Janeiro. 735