Publication details

Title
Screening for undernutrition in geriatric practice: developing the short-form mini-nutritional assessment (MNA-SF).
Authors
Rubenstein LZ, Harker JO, Salva A, Guigoz Y, Vellas B
Publication Year
2001
Abstract
BACKGROUND: The Mini-Nutritional Assessment (MNA) is a validated assessment instrument for nutritional problems, but its length limits its usefulness for screening. We sought to develop a screening version of this instrument, the MNA-SF, that retains good diagnostic accuracy. METHODS: We reanalyzed data from France that were used to develop the original MNA and combined these with data collected in Spain and New MEXICO: Of the 881 subjects with complete MNA data, 151 were from France, 400 were from Spain, and 330 were from New MEXICO: Independent ratings of clinical nutritional status were available for 142 of the French subjects. Overall, 73.8% were community dwelling, and mean age was 76.4 years. Items were chosen for the MNA-SF on the basis of item correlation with the total MNA score and with clinical nutritional status, internal consistency, reliability, completeness, and ease of administration. RESULTS: After testing multiple versions, we identified an optimal six-item MNA-SF total score ranging from 0 to 14. The cut-point score for MNA-SF was calculated using clinical nutritional status as the gold standard (n = 142) and using the total MNA score (n = 881). The MNA-SF was strongly correlated with the total MNA score (r = .945). Using an MNA-SF score of > or = 11 as normal, sensitivity was 97.9%, specificity was 100%, and diagnostic accuracy was 98.7% for predicting undernutrition. CONCLUSIONS: The MNA-SF can identify persons with undernutrition and can be used in a two-step screening process in which persons, identified as 'at risk' on the MNA-SF, would receive additional assessment to confirm the diagnosis and plan interventions
Journals
J Gerontol A Biol Sci Med Sci.
Volume
56
Issue
6
Startpage
M366-
Endpage
M372
Booktitle
Editors
City
Publisher
Issnisbn
Reflist
18
Doi
doi:
Pmid
Keywords
Aged;Discriminant Analysis;Female;Geriatrics;methods;Humans;Male;Mass Screening;Nutrition Assessment;Nutrition Disorders;diagnosis;Professional Practice;Research Support,Non-U.S.Gov't;Research Support,U.S.Gov't,Non-P.H.S.;
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