No abstract

PurposeTo describe clinical, biochemical and anthropometric profiles in adults with class III obesity classified as metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO).Patients and methodsThis is a cross-sectional study with patients classified as MHO and MUHO according to the NCEP-ATP III. Anthropometric, biochemical and clinical variables were analyzed.ResultsA total of 223 subjects were evaluated and 32.73% were classified as MHO and 67.26% as MUHO, respectively. The insulin resistance homeostasis model (HOMA-IR) showed elevation in the MUHO group (p=0.003) and anthropometric variables were correlated with bone markers [body index mass (BMI) vs phosphorus: r=0.31, p<0.001; BMI vs 25(OH)D: r=−0.31, p=0.041]. Visceral adiposity index was lower in MHO (p=0.001). Negative correlations between inflammatory markers and bone markers were observed in the MHO group (calcium vs C-reactive protein: −0.30, p=0.017; parathyroid hormone vs HOMA-IR: r=−0.28, p=0.017.ConclusionMHO individuals showed important metabolic changes, such as those observed in MUHO, despite lower prevalence and severity. Continuous monitoring of these individuals is suggested, given the transient nature of the MHO phenotype.

No abstract

Background: Exposure to adverse conditions during the period of intrauterine development can lead to lifelong consequences. In this sense, evidence has pointed to an important influence of maternal variables, such as pre-gestational body mass index (BMI) and gestational weight gain (GWG), on the health of the offspring in adolescence, increasing the risk of obesity and damage to the cardiometabolic profile.Methods and Findings: This is a cross-sectional study in a cohort of 49 adolescents. The following variables were collected with adolescents in a scheduled consultation: sociodemographic (sex and age), clinical (diastolic and systolic blood pressure), anthropometric (weight, height, BMI and waist circumference [WC]), biochemical (glucose, total cholesterol, LDL-c, HDL-c, triglycerides and leptin) and birth (birth weight and gestational age). In addition, gestational variables (pregestational weight and height, pre-gestational BMI, GWG, and type of delivery) were collected in an interview with the mothers of the young people. For statistical analysis, adolescents were stratified according to sex. A correlation between BMI and WC was observed in adolescence with pre-gestational weight and BMI only in boys (r=0.906; p=0.001, r=0.878; p=0.002/ r=0.909; p=0.001, r=0.865; p=0.003). Moreover, in males, triglycerides correlated with pre-gestational BMI (r=0.712, p=0.048), p=0.024). Serum leptin concentration correlated with pre-gestational weight and BMI in girls (r=0.532, p=0.006; r=0.440, p=0.028) and, in boys, with GWG (r=0.901, p=0.037). Results:In view of the results, it is suggested that gestational anthropometric variables can influence the BMI, WC and biochemical variables of the offspring in a gender-dependent way, largely affecting boys.

No abstract