Neck circumference is associated with nutritional status in elderly nursing home residents
Lardiés-Sánchez, B. ; Arbones-Mainar, J.M. ; Perez-Nogueras, J. ; Serrano-Oliver, A. ; Torres-Anoro, E. ; Sanz-Paris, A. (Universidad de Zaragoza)
Resumen: Objectives: Anthropometry is an easy and noninvasive method to evaluate nutritional status in institutionalized elderly people who are often bedridden. The aim of this study was to investigate the relationship between the neck circumference (NC) and nutritional status of elderly nursing home residents and to find cutoff points for NC size to identify individuals at risk of malnutrition.
Methods: A cross-sectional study was developed with data collected from 352 elderly people living in five public nursing homes. Different anthropometric measures and the Mini Nutritional Assessment (MNA) were used to determine nutritional status. Receiver operating characteristic (ROC) curves were built for each anthropometric variable to determine their sensitivity and specificity for predicting the risk of malnutrition according to the MNA.
Results: The mean age of the participants (59% females) was 83 years old. In total, 48.3% of women and 45.5% of men were at risk of malnutrition according to their MNA scores. All anthropometric measurements were highly intercorrelated in both men and women, indicating a high degree of collinearity. Bootstrapped linear regression was used to assess the strength of the association between an individuals’ nutritional status and their anthropometric parameters. Calf circumference and NC presented the best predictive value with the highest sensitivity for diagnosing the risk of malnutrition in both institutionalized elderly men and women. The best cutoff points of NC to identify elderly nursing home residents at risk of malnutrition were 35.2 cm for females and 37.8 cm for males.
Conclusions: NC is associated with other classical anthropometric parameters and malnutrition status in elderly people living in nursing homes.
Idioma: Inglés
DOI: 10.1016/j.nut.2019.01.015
Año: 2019
Publicado en: NUTRITION 62 (2019), 153-157
ISSN: 0899-9007
Factor impacto JCR: 3.639 (2019)
Categ. JCR: NUTRITION & DIETETICS rank: 33 / 89 = 0.371 (2019) - Q2 - T2
Factor impacto SCIMAGO: 1.062 - Nutrition and Dietetics (Q2) - Endocrinology, Diabetes and Metabolism (Q2)
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
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Methods: A cross-sectional study was developed with data collected from 352 elderly people living in five public nursing homes. Different anthropometric measures and the Mini Nutritional Assessment (MNA) were used to determine nutritional status. Receiver operating characteristic (ROC) curves were built for each anthropometric variable to determine their sensitivity and specificity for predicting the risk of malnutrition according to the MNA.
Results: The mean age of the participants (59% females) was 83 years old. In total, 48.3% of women and 45.5% of men were at risk of malnutrition according to their MNA scores. All anthropometric measurements were highly intercorrelated in both men and women, indicating a high degree of collinearity. Bootstrapped linear regression was used to assess the strength of the association between an individuals’ nutritional status and their anthropometric parameters. Calf circumference and NC presented the best predictive value with the highest sensitivity for diagnosing the risk of malnutrition in both institutionalized elderly men and women. The best cutoff points of NC to identify elderly nursing home residents at risk of malnutrition were 35.2 cm for females and 37.8 cm for males.
Conclusions: NC is associated with other classical anthropometric parameters and malnutrition status in elderly people living in nursing homes.
Idioma: Inglés
DOI: 10.1016/j.nut.2019.01.015
Año: 2019
Publicado en: NUTRITION 62 (2019), 153-157
ISSN: 0899-9007
Factor impacto JCR: 3.639 (2019)
Categ. JCR: NUTRITION & DIETETICS rank: 33 / 89 = 0.371 (2019) - Q2 - T2
Factor impacto SCIMAGO: 1.062 - Nutrition and Dietetics (Q2) - Endocrinology, Diabetes and Metabolism (Q2)
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. No puede utilizar el material para una finalidad comercial. Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado.Exportado de SIDERAL (2020-07-16-08:41:07)
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Registro creado el 2020-02-04, última modificación el 2020-07-16