Literature DB >> 29216957

Handgrip Strength as a Predictor of Nutritional Status in Chinese Elderly Inpatients at Hospital Admission.

Xin Sheng Zhang1, Ying Hua Liu1, Yong Zhang1, Qing Xu1, Xiao Ming Yu1, Xue Yan Yang1, Zhao Liu1, Hui Zi Li2, Feng Li1, Chang Yong Xue1.   

Abstract

OBJECTIVE: To assess nutritional status and define gender- and age-specific handgrip strength (HGS) cut-point values for malnutrition or nutritional risk in elderly inpatients.
METHODS: A cross-sectional study of 1,343 elderly inpatients was conducted in the Chinese PLA General Hospital. Nutrition Risk Screening (NRS 2002) and Subjective Global Assessment (SGA) were administered. Anthropometric measurements and blood biochemical indicators were obtained using standard techniques. The gender- and age-specific receiver operating characteristic (ROC) curves were constructed to evaluate the HGS for nutritional status by SGA and NRS 2002. Sensitivity, specificity, and areas under the curves (AUCs) were calculated.
RESULTS: According to NRS 2002 and SGA, 63.81% of elderly inpatients were at nutritional risk and 28.22% were malnourished. Patients with higher HGS had an independently decreased risk of malnutrition and nutritional risk. The AUCs varied between 0.670 and 0.761. According to NRS 2002, the optimal HGS cut-points were 27.5 kg (65-74 years) and 21.0 kg (75-90 years) for men and 17.0 kg (65-74 years) and 14.6 kg (75-90 years) for women. According to SGA, the optimal HGS cut-points were 24.9 kg (65-74 years) and 20.8 kg (75-90 years) for men and 15.2 kg (65-74 years) and 13.5 kg (75-90 years) for women.
CONCLUSION: Elderly inpatients had increased incidence of malnutrition or nutritional risk. HGS cut-points can be used for assessing nutritional status in elderly inpatients at hospital admission in China.
Copyright © 2017 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

Entities:  

Keywords:  Elderly inpatients; Handgrip strength; Malnutrition; Nutrition assessment; Nutrition status

Mesh:

Year:  2017        PMID: 29216957     DOI: 10.3967/bes2017.108

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


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