Association between nutritional status (MNA®-SF) and frailty (SHARE-FI) in acute hospitalised elderly patients

OBJECTIVE: This study aimed to explore the association between the impaired nutritional status and frailty in acute hospitalised elderly patients by using two tools, the MNA®-SF (Mini Nutritional Assessment® short-form) and the SHARE-FI (Frailty Instrument for Primary Care of the Survey of Health, A...

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Published inThe Journal of nutrition, health & aging Vol. 18; no. 3; pp. 264 - 269
Main Authors Dorner, T. E, Luger, Eva, Tschinderle, J, Stein, K. V, Haider, S, Kapan, A, Lackinger, C, Schindler, K. E
Format Journal Article
LanguageEnglish
Published Paris Springer-Verlag 01.03.2014
Springer Paris
Springer
Springer Nature B.V
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Summary:OBJECTIVE: This study aimed to explore the association between the impaired nutritional status and frailty in acute hospitalised elderly patients by using two tools, the MNA®-SF (Mini Nutritional Assessment® short-form) and the SHARE-FI (Frailty Instrument for Primary Care of the Survey of Health, Ageing and Retirement in Europe). DESIGN: Cross-sectional study. SETTING: Acute hospitalised, community-dwelling elderly patients were recruited at internal medicine wards in Vienna, Austria. PARTICIPANTS: 133 men (39%) and women (61%) aged 74 (65–97) years. MEASUREMENTS: MNA®-SF was used to investigate malnutrition (<7 points) and patients at risk of malnutrition (8 to 11 points). By using the SHARE-FI, subjects were classified as frail, pre-frail or robust. A factor analysis was applied to identify overlaps between the MNA®-SF and SHARE-FI items. Internal consistency of different dimensions was assessed by using Cronbach’s Alpha. RESULTS: Malnutrition or risk of malnutrition was found in 76.7% of the total sample and in 46.8% of robust, in 69.0% of pre-frail, and in 93.0% of frail participants. Frailty or prefrailty was found in 75.9% of the total sample and in 45.1% of the subjects with no risk of malnutrition, in 80.9% of subjects at risk of malnutrition, and in 94.1% of malnourished patients. The two used tools show overlaps in three dimensions: (1) nutrition problems, (2) mobility problems and (3) anthropometric items with a moderate to strong internal consistency (Cronbach’s Alpha of 0.670, 0.834 and 0.946, respectively). 64.7% of the total sample (79.5% of frail and 87.9% of malnourished subjects) would participate in a home-based muscle training and nutritional intervention program. CONCLUSIONS: This study underlines the association and the overlap between frailty and impaired nutritional status. There is a high readiness to participate in a program to tackle the problems associated with malnutrition and frailty, especially in those, who would benefit most from it.
Bibliography:http://dx.doi.org/10.1007/s12603-013-0406-z
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1279-7707
1760-4788
DOI:10.1007/s12603-013-0406-z