Open Access
Pubertal stage, body mass index, and cardiometabolic risk in children and adolescents in Bogotá, Colombia: the cross-sectional FUPRECOL study
(MDPI, 2017) Ramírez Vélez, Robinson; García Hermoso, Antonio; Agostinis-Sobrinho, César; Mota, Jorge; Santos, Rute; Correa Bautista, Jorge Enrique; Peña-Guzmán, Carlos Andrés; Domínguez Sánchez, María Andrea; Schmidt Río-Valle, Jacqueline; González Jiménez, Emilio; Ciencias de la Salud; Osasun Zientziak
This study explored the association between pubertal stage and anthropometric and cardiometabolic risk factors in youth. A cross-sectional study was conducted in 2877 Colombian children and adolescents (9¿17.9 years of age). Weight, height, and waist circumference were measured and body mass index (BMI) was calculated. A biochemical study was performed to determine the cardiometabolic risk index (CMRI). Blood pressure was evaluated and pubertal stage was assessed with the Tanner criteria. Hierarchical multiple regression analyses were performed. The most significant variable (p < 0.05) in the prognosis of cardiometabolic risk was found to be the BMI in both boys and girls. In the case of girls, the pubertal stage was also a CMRI predictive factor. In conclusion, BMI was an important indicator of cardiovascular risk in both sexes. Pubertal stage was associated with cardiovascular risk only in the girls.
Open Access
Waist circumference and abdominal volume index can predict metabolic syndrome in adolescents, but only when the criteria of the international diabetes federation are employed for the diagnosis
(MDPI, 2019) Perona, Javier S.; Schmidt Río-Valle, Jacqueline; Fernández Aparicio, Ángel; Correa Rodríguez, María; Ramírez Vélez, Robinson; González Jiménez, Emilio; Ciencias de la Salud; Osasun Zientziak
We previously reported, using the diagnostic criteria of the International Diabetes Federation (IDF), that waist circumference (WC) and abdominal volume index (AVI) were capable of predicting metabolic syndrome (MetS) in adolescents. This study was aimed at confirming this finding when other diagnostic criteria are used. A cross-sectional study was performed on 981 Spanish adolescents (13.2 ± 1.2 years). MetS was diagnosed by eight different criteria. Ten anthropometric indexes were calculated and receiver-operator curves (ROC) were created to determine their discriminatory capacity for MetS. Of all diagnostic criteria, the ones proposed by the IDF showed the highest mean values for weight, WC and systolic blood pressure in boys and girls with MetS, and the lowest for glucose and triglycerides in boys. ROC analysis showed that only WC, AVI and body roundness index (BRI) achieved area under the curve (AUC) values above 0.8 in boys, and that fat content, body mass index (BMI), WC, AVI, BRI and pediatric body adiposity index (BAIp) showed AUC values above 0.8 in girls. Importantly, this occurred only when diagnosis was carried out using the IDF criteria. We confirm that WC and AVI can predict MetS in adolescents but only when the IDF’s diagnostic criteria are employed.
Open Access
The role of body adiposity index in determining body fat percentage in colombian adults with overweight or obesity
(MDPI, 2017) Ramírez Vélez, Robinson; Correa Bautista, Jorge Enrique; González-Ruíz, Katherine; Tordecilla Sanders, Alejandra; García Hermoso, Antonio; Schmidt Río-Valle, Jacqueline; González-Jiménez, Emilio; Ciencias de la Salud; Osasun Zientziak
The aim of this study is to investigate the accuracy of body adiposity index (BAI) as a convenient tool for assessing body fat percentage (BF%) in a sample of adults with overweight/obesity using bioelectrical impedance analysis (BIA). The study population was composed of 96 volunteers (60% female, mean age 40.6 ± 7.5 years old). Anthropometric characteristics (body mass index, height, waist-to-height ratio, hip and waist circumference), socioeconomic status, and diet were assessed, and BF% was measured by BIA-BF% and by BAI-BF%. Pearson’s correlation coefficient was used to evaluate the correlation between BAI-BF% and BF% assessed by BIA-BF%, while controlling for potential confounders. The concordance between the BF% measured by both methods was obtained with a paired sample t-test, Lin’s concordance correlation coefficient, and Bland-Altman plot analysis. Overall, the correlation between BF% obtained by BIA-BF% and estimated by BAI-BF% was r = 0.885, p < 0.001, after adjusting for potential confounders (age, socioeconomic status, and diet). Lin’s concordance correlation coefficient was moderate in both sexes. In the men, the paired t-test showed a significant mean difference in BF% between the methods (−5.6 (95% CI −6.4 to −4.8); p < 0.001). In the women, these differences were (−3.6 (95% CI −4.7 to −2.5); p < 0.001). Overall, the bias of the BAI-BF% was −4.8 ± 3.2 BF%; p < 0.001), indicating that the BAI-BF% method significantly underestimated the BF% in comparison with the reference method. In adults with overweight/obesity, the BAI presents low agreement with BF% measured by BIA-BF%; therefore, we conclude that BIA-BF% is not accurate in either sex when body fat percentage levels are low or high. Further studies are necessary to confirm our findings in different ethnic groups.
Open Access
Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in colombian university students
(MDPI, 2017) Ramírez Vélez, Robinson; Correa Bautista, Jorge Enrique; Sanders-Tordecilla, Alejandra; Ojeda Pardo, Mónica Liliana; Cobo-Mejía, Elisa Andrea; Castellanos-Vega, Rocío del Pilar; García Hermoso, Antonio; González-Jiménez, Emilio; Schmidt Río-Valle, Jacqueline; González Ruiz, Katherine; Ciencias de la Salud; Osasun Zientziak
High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; p < 0.001). BF% and FMI were positively correlated to MetS components (p < 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m2 in men, and 38.95% and 11.86 kg/m2 in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes¿ thresholds seem to be good tools to identify university students with unfavorable metabolic profiles.

Ramírez Vélez, Robinson

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