Excess adiposity and low physical fitness hamper Supine-to-Stand test performance among sedentary adolescents

Abstract Objective: The aim of this study was to analyze the relationship between body adiposity and physical fitness with performance in the Supine-to-Stand test (STS-test) in sedentary adolescents. Methods: Sixty-two adolescents, of both sexes, between 10 and 16 years old, participated in the study. Body mass (BM), height, waist circumference (WC), fat mass (FM), fat-free mass (FFM), right and left handgrip strength (HGS-right, HGS-left), abdominal resistance (ABDO), flexibility (FLEX), and cardiorespiratory fitness (VO2peak) were measured. Body mass index (BMI), z-score BMI (BMI-z), tri-ponderal mass index (TMI) and waist-to-height ratio (WHtR) were calculated. The STS-test was applied to evaluate the STS-MC by the movement patterns in the execution of the test. The STS-time in seconds (s) was categorized into terciles: fast (FG < 2.0 s), intermediate (IG = 2.0-2.6 s) and slow (SG > 2.6 s). One-way ANOVA, Chi-square, Spearman's correlation coefficient as well as non-parametric tests were used, with significance p 0.05. Results: The SG presented higher BMI, BMI-z, TMI, WHtR, FM, %FM, as well as lower averages for %FFM, HGS-right, HGS-left, FLEX, ABDO, VO2peak, VO2peak relative to BM (VO2peakBM) in relation to GF. The BMI, BMI-z, TMI, WC, WHtR and FM showed moderate and direct correlations with STS-time and inverse with STS-MC (p < 0.01). HGS-right, HGS-left, ABDO, and VO2peakBM showed moderate and an inverse correlation with STS-time (p < 0.05). The VO2peakBM was moderate and with direct correlations to STS-MC (p < 0.01). Conclusion: It is concluded that excess fat and low physical fitness hamper STS-test performance. Therefore, the STS-test can be used for screening students to assess MC.

Asociación entre indicadores antropométricos y dislipidemia en adolescentes y adultos jóvenes de la ciudad de Caracas / Association between anthropometric indicators and dyslipidemia in adolescents and young adults in the city of Caracas

Tradicionalmente se han utilizado algunos índices antropométricos para el diagnóstico de exceso de peso en niños y adolescentes que han mostrado algunas desventajas por lo que se han postulado otros indicadores. En ese sentido, se plantea estimar el nivel de asociación entre indicadores antropométricos y la presencia de dislipidemia en adolescentes y adultos jóvenes. Se realizó una investigación observacional, descriptiva y de corte transversal en 123 adolescentes (68,2% mujeres, edad promedio 14,5 años) y 122 adultos jóvenes (70,5% mujeres, edad promedio 21 años) de la ciudad de Caracas. Se calcularon Índices de Masa Corporal (IMC), Índice Cintura­Talla (ICT), Índice de Masa Corporal Abdominal (IMCA) e Índice de Masa Tri-Ponderal (IMT). Se obtuvo una muestra de sangre por punción venosa, en ayuno de 12 a 14 horas, a partir de la cual se cuantificó Colesterol Total, Lipoproteína de alta densidad y Triglicéridos. Se calculó la concentración de Lipoproteína de baja densidad por la fórmula de Friedewald, así como el índice LDL-C/HDL-C y el índice LogTg/HDL. Para el análisis e interpretación de los datos se utilizó estadística descriptiva univariante y multivariante. Los resultados revelaron que los índices antropométricos IMCA e IMT no mostraron mejor desempeño en predecir dislipidemia que los indicadores IMC, Circunferencia de Cintura (CC) e ICT en adolescentes y adultos jóvenes. Los indicadores antropométricos de adiposidad abdominal, CC e ICT, tendieron a presentar mayores OR, ABC, sensibilidad y especificidad independientemente del grupo de estudio. En general, la capacidad de los indicadores antropométricos evaluados en predecir la presencia de dislipidemia en adultos jóvenes fue adecuada, situación que no se presentó en los adolescentes(AU)

Traditionally, some anthropometric indices have been used for the diagnosis of excess weight in children and adolescents, which have shown some disadvantages for which other indicators have been postulated. In this sense, it is proposed to estimate the level of association between anthropometric indicators and the presence of dyslipidemia in adolescents and young adults. An observational, descriptive cross-sectional investigation was carried out in 123 adolescents (68,2% women, media age 14,5 years) and 122 young adults (70,5% women, media age 21 years) from the city of Caracas. Body Mass Indices (BMI), Waist-Height Ratio (WHR), Abdominal Body Mass Index (BMAI) and Tri-Ponderal Mass Index (TMI) were calculated. A blood sample was obtained by venipuncture, fasting for 12 to 14 hours, from which Total Cholesterol, High Density Lipoprotein and Triglycerides were quantified. The low-density lipoprotein concentration was calculated by the FriedEwald formula, as well as the LDL-C / HDL-C index and the LogTg / HDL index. Univariate and multivariate descriptive statistics were used for the analysis and interpretation of the data. The results revealed that the BMI and TMI anthropometric indices did not show better performance in predicting dyslipidemia than the BMI, Waist Circumference (WC) and WHR indicators in adolescents and young adults. The anthropometric indicators of abdominal adiposity, WC and WHR, tended to present higher OR, AUC, sensitivity and specificity regardless of the study group. In general, the capacity of the anthropometric indicators evaluated to predict the presence of dyslipidemia in young adults was adequate, a situation that did not occur in adolescents(AU)

Tri-ponderal mass index and body mass index in prediction of pediatric metabolic syndrome: the CASPIAN-V study

ABSTRACT Objective Body mass index (BMI) and tri-ponderal mass index (TMI) are anthropometric measures to evaluate body adiposity in the various age groups. The present study aims to compare the predictive value of TMI and BMI for metabolic syndrome (Mets) in children and adolescents of both genders. Subjects and methods A cross-sectional study conducted on 3731 Iranian children and adolescents aged 7-18 years obtained from the fifth survey of 'Childhood and Adolescence Surveillance and Prevention of Adult Non-communicable Disease' (CASPIAN-V) study. The predictive value of BMI and TMI for MetS were determined using Receiver-operator curves. Logistic regression analysis was used to assess the relationship between these indices with MetS. Results 52.6% of participants were boys. The mean (standard deviations) age for boys and girls were 12.62 (3.02) and 12.25 (3.05) years, respectively. In boys, the area under the curve (AUC) of TMI was greater than BMI for all age groups. AUC of TMI was also greater than BMI for age group of 11-14 years (AUC = 0.74; 95% CI (0.67, 0.81)) in girls. Furthermore, our findings showed that odds ratio of Mets for TMI was greater than BMI in age groups of 11-14 years (OR = 1.33 vs 1.22) and 15-18 years (1.16 vs 1.15) in girls and boys, respectively. Conclusion TMI and BMI had moderate predictive value for identifying MetS. However, TMI was a better predictor of MetS than BMI in both genders, especially in age groups of 11-14 and 15-19 years for girls and boys.

Tri-ponderal mass index is useful for screening children and adolescents with insulin resistance / O índice de massa tri-ponderal é útil na triagem de crianças e adolescentes com resistência à insulina

ABSTRACT Objective: To investigate whether tri-ponderal mass index and body mass index Z scores are equivalent for screening children and adolescents with insulin resistance. Methods: Cross-sectional study with 296 children and adolescents enrolled at public schools of Vitória, Espírito Santo, Brazil, aged eight to 14 years. The tri-ponderal mass index was calculated as the ratio between weight and height cubed. The body mass index was calculated as the ratio between weight and height squared. Insulin resistance was defined with the homeostatic model assessment (HOMA-IR). Results: The HOMA-IR was higher in the 4th quartile of body mass index Z scores and tri-ponderal mass index compared to 1st and 2nd quartiles for both girls and boys. The areas under the age-adjusted receiver operating characteristic curves were similar between the indices for girls (body mass index Z scores=0.756; tri-ponderal mass index=0.763) and boys (body mass index Z scores=0.831; tri-ponderal mass index=0.843). In addition, according to the simple linear regression analyses estimations, both body mass index Z scores and tri-ponderal mass index explained a significant fraction of the homeostatic model assessment variability for girls (body mass index Z scores: R2=0.269; tri-ponderal mass index: R2=0.289; p<0.001) and boys (body mass index Z scores: R2=0.175; tri-ponderal mass index: R2=0.210; p<0.001). Conclusions: The tri-ponderal mass index and body mass index Z scores were similar to discriminate children and adolescents with insulin resistance. It is noteworthy that the use of tri-ponderal mass index is clearly advantageous, because it can be calculated with no concerns on adjustments for the age, a fact that makes it very applicable in the clinical practice.

RESUMO Objetivo: Investigar se o índice de massa tri-ponderal e os escores-z do índice de massa corporal são equivalentes na triagem de crianças e adolescentes com resistência à insulina. Métodos: Estudo transversal com 296 crianças e adolescentes matriculados em escolas públicas de Vitória, Espírito Santo, Brasil, com idades entre oito e 14 anos. O índice de massa tri-ponderal foi calculado como a razão entre o peso e a altura ao cubo. O índice de massa corporal foi calculado como a razão entre o peso e a altura ao quadrado. A resistência à insulina foi definida pelo modelo de avaliação da homeostase para resistência à insulina (HOMA-IR). Resultados: O HOMA-IR foi maior no 4º quartil dos escores-z do índice de massa corporal e do índice de massa tri-ponderal, em relação ao 1º e 2º quartis em ambos os sexos. As áreas sob as curvas receiver operating characteristic ajustadas por idade foram semelhantes em meninas (escores-z do índice de massa corporal=0,756; índice de massa tri-ponderal=0,763) e meninos (escores-z do índice de massa corporal=0,831; índice de massa tri-ponderal=0,843). Além disso, de acordo com as estimativas das análises de regressão linear simples, os escores-z do índice de massa corporal e o índice de massa tri-ponderal explicaram uma fração significativa da variabilidade do modelo de avaliação da homeostase para meninas (escores-z do índice de massa corporal: R2=0,269; índice de massa tri-ponderal: R2=0,289; p<0,001) e meninos (escores-z do índice de massa corporal: R2=0,175; índice de massa tri-ponderal: R2=0,210; p<0,001). Conclusões: O índice de massa tri-ponderal e os escores-z do índice de massa corporal foram semelhantes na triagem de crianças e adolescentes com resistência à insulina. É importante ressaltar que o uso do índice de massa tri-ponderal é claramente vantajoso, pois pode ser calculado sem ajustes por idade, fato que o torna muito aplicável à prática clínica.