• Beatriz Lardiés-Sánchez, Jose M Arbones-Mainar, Javier Perez-Nogueras, Antonio Serrano-Oliver, Elena Torres-Anoro, and Alejandro Sanz-Paris.
• Nutrition Department of University Hospital Miguel Servet, Zaragoza, Spain; Instituto de Investigación Sanitaria Aragón (IIS-Aragón), Zaragoza, Spain. Electronic address: bealardies@gmail.com.
• Nutrition. 2019 Jun 1; 62: 153-157.

ObjectivesAnthropometry 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.MethodsA 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.ResultsThe 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.ConclusionsNC is associated with other classical anthropometric parameters and malnutrition status in elderly people living in nursing homes.Copyright © 2019 Elsevier Inc. All rights reserved.

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