Abstract:
INTRODUCTION:Body weight measurement is of critical importance when evaluating the nutritional status of patients entering a hospital. In some situations, such as the case of patients who are bedridden or in wheelchairs, these measurements cannot be obtained using standardized methods. We have designed and validated a formula for predicting body weight. OBJECTIVES:To design and validate a formula for predicting body weight using circumference-based equations. METHODS:The following anthropometric measurements were taken for a sample of 76 patients: weight (kg), calf circumference, average arm circumference, waist circumference, hip circumference, wrist circumference and demispan. All circumferences were taken in centimetres (cm), and gender and age were taken into account. This equation was validated in 85 individuals from a different population. The correlation with the new equation was analyzed and compared to a previously validated method. RESULTS:The equation for weight prediction was the following: Weight = 0.524 (WC) - 0.176 (age) + 0.484 (HC) + 0.613 (DS) + 0.704 (CC) + 2.75 (WrC) - 3.330 (if female) - 140.87. The correlation coefficient was 0.96 for the total group of patients, 0.971 for men and 0.961 for women (p < 0.0001 for all measurements). CONCLUSION:The equation we developed is accurate and can be used to estimate body weight in overweight and/or obese patients with mobility problems, such as bedridden patients or patients in wheelchairs. :Introducción: La medición del peso corporal resulta de suma importancia en la evaluación del estado nutricional de los pacientes que ingresan a una institución hospitalaria. En algunas situaciones, estas mediciones no pueden obtenerse por los métodos estandarizados, como es el caso de los pacientes encamados o en silla de ruedas. Nosotros diseñamos y validamos una fórmula de predicción del peso corporal. Objetivos: Diseñar y validar una fórmula de predicción del peso corporal utilizando circunferencias. Métodos: Se realizaron las siguientes medidas antropométricas en una muestra de 76 pacientes: peso en kg (P), circunferencia de pantorrilla (CP), circunferencia media de brazo (CMB), cintura (CC), cadera (CCad), circunferencia de muñeca (CM) y media envergadura (ME) todas las circunferencias fueron tomadas en cm y así mismo se tomó en cuenta el género y la edad. De estas mediciones obtuvimos una ecuación de predicción del peso corporal. Esta ecuación se validó en 85 individuos de una población diferente. Se realizó un análisis de la correlación de la nueva ecuación contra un método previamente validado. Resultados: La ecuación de predicción de peso fue la siguiente: Peso = 0,524 (CC) - 0,176 (edad) + 0,484 (CCad) + 0,613 (ME) + 0,704 (CP) + 2,75 (CM) - 3,330 (si es mujer) -140,87. El coeficiente de correlación fue de 0,96 para el grupo de pacientes totales y de 0,971 para hombres y 0,961 para mujeres (todos p < 0,0001). Conclusión: La ecuación desarrollada en nuestro trabajo, es precisa, y puede emplearse para estimar el peso corporal en pacientes con sobrepeso y/o obesidad que tengan problemas de movilidad como pacientes encamados, o en sillas de ruedas.
journal_name
Nutr Hospjournal_title
Nutricion hospitalariaauthors
Quiroz-Olguín G,Serralde-Zúñiga AE,Saldaña-Morales V,Guevara-Cruz Mdoi
10.3305/nh.2013.28.3.6455subject
Has Abstractpub_date
2013-05-01 00:00:00pages
690-3issue
3eissn
0212-1611issn
1699-5198journal_volume
28pub_type
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journal_title:Nutricion hospitalaria
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journal_title:Nutricion hospitalaria
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doi:
更新日期:2009-03-01 00:00:00
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doi:
更新日期:2006-11-01 00:00:00
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journal_title:Nutricion hospitalaria
pub_type: 杂志文章
doi:
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doi:
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doi:
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更新日期:1996-09-01 00:00:00
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