Correlación de parámetros antropométricos predictores del riesgo de aparición de diabetes mellitus / Correlation of the anthropometric parameters predictors of emerging risk for diabetes mellitus

Introducción: Existen parámetros antropométricos predictivos del riesgo de padecer diabetes mellitus que pueden correlacionarse, tal como el índice de masa corporal, el porcentaje de grasa corporal, el perímetro de la cintura y el porcentaje de grasa visceral. Objetivo: Establecer el riesgo potencial de padecer diabetes mellitus de tipo 2 mediante la correlación de indicadores y medidas antropométricas aplicables a la población local. Métodos: Se realizó un estudio epidemiológico, transversal, observacional y analítico de 118 individuos jóvenes, en la Universidad Católica de Córdoba, en Córdoba, Argentina, durante el mes de septiembre de 2019, en el cual se aplicó el FINnish Diabetes Risk Score, tomando además como indicadores los porcentajes de grasa corporal y de grasa visceral. En el análisis estadístico de las variables cuantitativas y cualitativas se utilizaron el promedio y la desviación estándar como medidas descriptivas; asimismo, se aplicaron las pruebas de normalidad de Shapiro-Wilk y de Kolmogorow-Smirnov y el coeficiente de correlación de Spearman para probar las hipótesis estadísticas planteadas. Resultados: Se encontró que la mayoría de la población era de bajo riesgo y la correlación entre el índice de masa corporal y la grasa corporal que se ajustaba era Y=1,18X+4,06; donde Y fue el porcentaje de grasa corporal y X el índice de masa corporal. Para correlacionar el perímetro de la cintura y el porcentaje de grasa visceral se ajustaban Y=0,21X-10,21 para hombres y Y=0,17X-7,84 para mujeres, donde Y fue el porcentaje de grasa visceral y X el perímetro de la cintura. Conclusiones: El conocimiento del estado de salud de una población lleva a la capacitación y asistencia para el autocuidado y la adquisición de hábitos saludables, que contribuyan a una adultez con calidad de vida.

Introduction: There are risk anthropometric predictors parameters of suffering from diabetes mellitus that can be correlated, such as the body mass index, body fat percentage, waist perimeter and visceral fat percentage. Objective: To establish the potential risk of suffering from type2 diabetes mellitus by means of the correlation of indicators and anthropometric measures applicable to a local population. Methods: An epidemiological, cross-sectional, observational and analytic study of 118 young individuals was carried out in the Catholic University of Córdoba, in Córdoba, Argentina, during the month of September, 2019, in which the FINnish Diabetes Risk Score was implemented, the body fat and visceral fat percentages were also taken as warning signs. In the statistical analysis of the quantitative and qualitative variables the average and the standard deviation were used as descriptive measures; also, the Shapiro-Wilks and Kolmogorow-Smirnov normality tests and the Spearman correlation test were implemented to prove the outlined statistical hypotheses. Results: It was found that it was a low risk population and the correlation between the body mass index and the body fat that was adjusted was Y=1.18X+4.06; where Y was the body fat percentage and X the body mass index. To correlate the waist perimeter and the visceral fat percentage Y=0,21X-10,21 for men and Y=0,17X-7,84 for women were adjusted, where Y was the visceral fat percentage and X the waist perimeter. Conclusions: The knowledge of the population health condition leads to the training and assistance for the selfcare and to the acquisition of healthy habits that contribute to an adulthood with life quality.

Comparação entre perímetro abdominal e índice de massa corpórea como preditores de hipertensão arterial / Comparison between waist circumference and body mass index as predictors of hypertension

A obesidade é um relevante fator de risco para desenvolvimento de hipertensão arterial. Dentre as variáveis antropométricas disponíveispara avaliação do excesso de peso, o índice de massa corpórea e a circunferência abdominal são as mais utilizadas.

Obesity is a major risk factor for the development of hypertension. Among the anthropometric variables available to measure body weight excess, the body mass index and waist circumference are the mostfrequently used.

Identificación de variables relacionadas con la condición física para el control ergonómico de factores humanos vinculados al dolor lumbar / Identification of variables for physical condition for ergonomic control of human factors related to low back pain

Utilizando un diseño transversal, se estudió 40 sujetos, todos varones trabajadores de una empresa de la gran minería del norte de Chile. El propósito fue identificar las diferencias significativas entre los indicadores de la condición física y el Síndrome de Dolor Lumbar (SDL). Se evaluaron diversas variables de la condición física en dos grupos, uno con SDL y otro sin SDL. Los resultados indicaron que la tasa de prevalencia global del síndrome de dolor lumbar fue de 67,5 por ciento, en tanto que cinco factores de la condición física resultaron ser estadísticamente significativos respecto de la presencia del SDL (potencia abdominal, fatigabilidad de los erectores espinales, flexibilidad general, flexibilidad lumbar y el perímetro de cintura). La obesidad y el sobrepeso estuvieron presentes en el 65 por ciento de la población estudiada, no obstante no implicó significancia estadística entre los grupos analizados excepto cuando su distribución afectó el perímetro de cintura.

By means of a transversal study, 40 subjects were studied. All of them were male workers belonging to a large-scale mining company located in the North of Chile. The purpose was to identify the significant differences between physical condition and low back pain syndrome (LBS) indicators. A diversity of variables of physical condition was evaluated in two groups, a LBS group and “healthy” group. Results indicated that global prevalence rate of low back pain syndrome was 67,5 percent where as five factors of the physical condition resulted to be statistically significant according to the presence of LBS (abdominal strength, muscular fatigue in spinal erectors, general flexibility, lumbar flexibility and waist perimeter). 65 percent of the population presented obesity and overweight, however, this did not involve a statistical significance between groups in study, except when waist perimeter was affected by distribution.

Habilidade de indicadores antropométricos e de composição corporal em identificar a resistência à insulina / Predictive ability of anthropometric and body composition indicators in the identification of insulin resistance

OBJETIVOS: Avaliar a habilidade de indicadores antropométricos e de composição corporal em identificar a resistência à insulina (RI), determinando-se os pontos de corte para os que apresentarem melhor eficácia. MÉTODOS: Foram avaliados 138 homens. Determinou-se: perímetro da cintura (PC), diâmetro abdominal sagital (DAS), índice de conicidade (IC), índice de massa corporal (IMC), percentual de gordura corporal ( por centoGC), índice sagital (IS) e relações cintura-estatura (RCE), cintura-quadril (RCQ) e cintura-coxa (RCCoxa). A RI foi avaliada pelo HOMA-IR. Utilizou-se análise de correlação e análise ROC, com determinação das áreas abaixo da curva (AUC). RESULTADOS: O DAS (r = 0,482; AUC = 0,746) e o PC (r = 0,464; AUC = 0,739) apresentaram correlações mais fortes com o HOMA-IR e maior poder discriminante para RI (p < 0,001), sendo seus melhores pontos de corte 89,3 cm e 20,0 cm, respectivamente. CONCLUSÃO: Os indicadores de obesidade central, o PC e o DAS demonstraram maior habilidade em identificar RI em homens. Encoraja-se a realização de estudos com mulheres e idosos na busca dos melhores pontos de corte para toda a população.

OBJECTIVE: To assess the ability of anthropometric and body composition indicators in identifying insulin resistance (IR), determining cut-off points for those showing the best efficacy. METHOD: 138 men were evaluated. Waist perimeter (WP), sagittal abdominal diameter (SAD), conicity index, body mass index (BMI), body fat percent, sagittal index, and the waist-to-height, waist-to-hip and waist-to-thigh ratios were determined. IR was assessed by the HOMA-IR index. Statistical analysis consisted of Spearman correlation coefficient and ROC (receiver operating characteristic) curves, calculating the area under the curve (AUC). RESULTS: SAD (r=0.482, AUC=0.746) and WP (r=0.464, AUC=0.739) showed stronger correlations with the HOMA-IR and greater ability to identify IR (p<0.001), being 89.3 cm and 20.0 cm the best cut-offs, respectively. CONCLUSION: The anthropometric indicators of central obesity, WP and SAD, have shown greater ability to identify IR in men. We encourage studies in women and elderly people in search of the best cut-off points for the entire population.