ABSTRACT
El sobrepeso y la obesidad, representan una preocupación para las autoridades de salud, dado que se ha incrementado en los últimos años; particularmente en poblaciones adultas. Objetivo: Relacionar el porcentaje de grasa corporal con la circunferencia de cintura, el índice cintura/talla y el Índice de Masa Corporal, como indicadores de obesidad en sujetos con diagnóstico de hígado graso no alcohólico. Materiales y Métodos: estudio descriptivo, transversal en una muestra de 137 adultos, de 18 a 70 años. Se midieron las variables: Edad, Talla, Peso, Circunferencia de Cintura (CC), Índice de Masa Corporal (IMC), Índice Cintura/Talla (ICT), Índice peso/circunferencia de cintura (IPCC), Porcentaje de Grasa Corporal (%GC). Se determinaron promedios, desviación, correlaciones y prueba t de student. Resultados: Promedio: edad (47,06±13,71 años), peso (77,94±21,99 kg), talla (160,57±9,20 cm), IMC (30,21±7,92 kg/m2), CC (0,96±0,16 cm), ICT (0,60±0,10), IPCC (0,80±0,11), %GC (34,19±10,88). Según IMC, 34,3% sobrepeso y 39,4% obesos. Según CC, Riesgo elevado 19,0% y Riesgo muy elevado 55,5%. Según ICT, sobrepeso 10,9%, sobrepeso elevado 21,2% y obesidad 51,8%. Según IPCC, 54,0% en riesgo. Según %GC, 13,9% en límite y 52,5% obesidad. Alta correlación entre %GC e IMC (r = 0,85) y entre GC% y CC (r = 0,89). Conclusiones: el IMC es un buen indicador de obesidad, pero es importante conocer la cantidad de grasa del organismo. Se sugiere el %GC como complemento para diagnosticar obesidad; además al agregar CC, como indicador de grasa abdominal, se puede hacer un diagnóstico más preciso de la obesidad para garantizar un adecuado tratamiento y mejorar la calidad de vida en el adulto. Palabras clave: Índice de Masa Corporal, Circunferencia de Cintura, Índice Cintura-Talla, Índice Peso-Circunferencia de cintura, Porcentaje de grasa corporal, Sobrepeso, Obesidad(AU)
Overweight and obesity represent a concern for health authorities, given that it has increased in recent years. Objective: Relate the percentage of body fat with waist circumference, the index size waist and body mass (BMI), as an indicator of obesity. Materials and methods: descriptive, cross-sectional study in a sample of 137 adults, 18 to 70 years. Measured variables: age, height, weight, waist circumference (WC), body mass (BMI), waist height index (WHtR), index weight waist circumference (WWCtR), percentage of body fat (BFP). Determined average, deviation, correlation and test student's t. Results: Average: age (47, 06±13,71 years), weight (77,94±21,99 kg), height (160,57±9,20 cm), BMI (30,21 ± 7,92 kg/m2), WC (0,96±0,16 cm), WHCtR (0,60±0,10), WWCtR (0,80±0,11), BFP(34,19±10,88). According to the BMI, 34.3% obese and 39, 4% overweight. According to WC, high-risk 19.0% and 55.5% very high risk. According to WWCtR, 10, 9% overweight, elevated 21, 2% overweight and obesity 51, 8%. According to WWCtR, 54, 0% at risk. According to BFP, 13, 9% in limit and 52, 5% obesity. High correlation between BMI and BFP (r=0, 85) and between the BFP and WC (r=0, 89). Conclusions: BMI is a good indicator of obesity, but it is important to know the amount of fat in the body. It is suggested the BFP as a complement to diagnose obesity; in addition to add WC, as an indicator of abdominal fat, a more accurate diagnosis of obesity can be to ensure adequate treatment and improve the quality of life in the adult(AU)
Subject(s)
Humans , Male , Female , Adolescent , Adult , Anthropometry/methods , Overweight , Fatty Liver , Obesity , Body Mass Index , Waist-Height RatioABSTRACT
Objective:To establish index weight system of the disability rating scale for the long-term care in-surance. Methods:On the basis of the index system of disability rating scale constructed by Delphi method,the im-portance of each index of the scale was evaluated and its weight was calculated by analytic hierarchy process. Re-sults:The weights of the 4 first-class indicators in the long-term care insurance disability rating scale were as follows:sensory perception was 0.2408,basic activities of daily living was 0.5899,cognitive ability was 0.1204, emotional& behavior was 0.0489;and the weights of 22 second-class indicators were calculated simultaneously. Conclusions:The determination of the index weight further improves the system of disability rating system,and provides reference for the development of long-term care insurance system.
ABSTRACT
The index weight has very significant role in the performance evaluation system for the public hospitals’ financial governance. This paper employed the analytic hierarchy process associated with the Delphi method to determine the index weight based on the previous studies. The index of maximum weight is non-profit (0. 35), fol-lowed closely by financial responsibility(0. 18), asset performance(0. 18), financial performance and risk (0. 18), and the index of minimum weight is society satisfaction ( 0 . 06 ) . The index weight guidance and the practical index system application were also interpreted in order to really play the significant role during the performance evaluation for the public hospitals’ financial governance.