Prospective Validation of the Modified Mini Nutritional Assessment Short‐Forms in the Community, Nursing Home, and Rehabilitation Setting
Abstract
Objectives: To validate the modified Mini Nutritional Assessment ( MNA ) short‐forms ( MNA ‐ SFs ) with respect to agreement with full MNA classification in the target populations of the MNA . Design: Prospective analysis. Setting: Community, nursing home, rehabilitation. Participants: Six hundred fifty‐seven individuals aged 65 and older (75.3% female; mean age 82.3 ± 7.4). Measurements: Classification agreement between full MNA score and MNA ‐ SF scores. Results: Agreement between the full MNA and classification using the MNA ‐ SFs was 84.6% when the MNA ‐ SF using body mass index ( BMI ) was applied and 81.4% when the MNA ‐ SF using calf circumference ( CC ) was applied. The highest agreement of classification was found in the community setting (90.8% and 90.4%, respectively) and the lowest in the rehabilitation setting (72.4% and 71.4%, respectively). Both MNA ‐ SF s tended to underestimate nutritional status, but that was significant only for the MNA ‐ SF with CC . Conclusion: The modified MNA ‐ SF s represent a valuable tool for rapid and reliable nutritional screening.
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ESPEN recommended the use of the Malnutrition Universal Screening Tool (MUST) in community settings, the Nutritional Risk Screening tool (NRS-2002) in clinical settings, and the Mini Nutritional Assessment (MNA) for the elderly.
“ESPEN recommended the use of the Malnutrition Universal Screening Tool (MUST) in community settings (48), the Nutritional Risk Screening tool (NRS-2002) in clinical settings (49), and the Mini Nutritional Assessment (MNA) for the elderly (50).”
From Evolution of the diagnosis of malnutrition in adults: a primer for clinicians (2024) · cites this paper as [48]
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Rubenstein, L. Z., Harker, J. O., Salva, A., Guigoz, Y., & Vellas, B. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.6.m366 · Cited by 2,751 · see citing works
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Evolution of the diagnosis of malnutrition in adults: a primer for clinicians
Hegazi, R., Miller, A., & Sauer, A. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1169538 · Cited by 26 · see citing works
- Authors
- Kaiser, M. J., Bauer, J. M., Uter, W., Donini, L. M., Stange, I., Volkert, D., Diekmann, R., Drey, M., Bollwein, J., Tempera, S., Guerra, A., Ricciardi, L. M., & Sieber, C. C.
- Affiliations
- Institute for Biomedicine of Aging
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Sapienza University of Rome (IT)
- “Villa delle Querce” Rehabilitation Institute Rome Italy
- Corresponding author
- Kaiser, Matthias J.
- ORCID
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 2011-09-21
- Volume
- 59
- Issue
- 11
- Pages
- 2124-2128
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W1981356289
- Cited by
- 141
- References
- 1
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 10 · 2023: 4 · 2022: 6 · 2021: 8 · 2020: 9 · 2019: 14 · 2018: 14 · 2017: 9 · 2016: 13 · 2015: 11 · 2014: 9 · 2013: 16 · 2012: 6
- FWCI
- 6.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Geriatrics Society (publishedVersion)
- PubMed (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Keywords
- Mini Nutritional Assessment, nutritional screening, nutritional assessment, older adults, nursing homes, rehabilitation, community-dwelling older adults, body mass index, calf circumference, classification agreement
- MeSH terms
- Aged, Aged, 80 and over, Anthropometry, Female, Germany, Health Status Indicators, Humans, Male, Nursing Homes, Nutritional Status, Prospective Studies, Surveys and Questionnaires, ROC Curve, Geriatric Assessment, Nutrition Assessment, Body Mass Index, Incidence, Malnutrition
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