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Screening for Undernutrition in Geriatric Practice: Developing the Short-Form Mini-Nutritional Assessment (MNA-SF)
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.
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“Three validated questionnaires were implemented to assess the older adult’s frailty status covering multiple health domains.”
From Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study (2020) · cites this paper as [23]
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“- Nutritional status: Participants are to be assessed for nutritional status using the Mini-Nutritional Assessment Short-Form (MNA-SF) (27) composed of 6 questions, whose score ranges from 0 to 14, with a higher score indicating better nutritional status.”
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“The mean scores of ADLs, MNA-SF, and MMSE were; 5.9 ± 0.07, 13.1 ± 0.44, and 28.5 ± 1.28, respectively.”
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“a shorter version has been validated and is composed of only 6 questions (19, 20) and predicts the full Mna well under most conditions.”
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“In addition, the Mini Nutritional Assessment-Short Form (MNA-SF), which is used to assess food intake, weight loss, mobility, psychological stress or acute disease, neuropsychological problems, and body mass index, was administered to investigate nutritional status [32].”
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Phase angle is associated with sarcopenic obesity in post-stroke patients
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“In addition, the MNA-SF which has high sensitivity and specificity [22], is able to identify those individuals who might not be considered as at risk based on physical appearance, such as those who are obese.”
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Is the MNA valid in different populations and across practice settings?
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“The MNA-SF takes more risk factors into account and consists of questions on weight loss over the last three months, decreased intake, mobility, psychological stress or acute illness in the past three months, neuropsychological problems, and BMI [17].”
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“The Mini Nutritional Assessment [23] tests for malnutrition with 6 multiple-choice questions related to nutrition and weight.”
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“The validated nutritional screening tools are the Mini Nutritional Assessment Short-Form (MNAⓇ-SF), Malnutrition Universal Screening Tool, and Malnutrition Screening Tool.”
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“Malnutrition and risk of malnutrition were evaluated using the Short-form Mini Nutritional Assessment (MNA-SF) screening tool (range, 0 to 14), which scores as follows: normal, >11; risk of malnutrition, 8–11; and malnutrition, 0–7 points [44].”
MethodMiao, X., Guo, Y., Ding, L., Xu, X., Zhao, K., Zhu, H., Chen, L., Chen, Y., Zhu, S., & Xu, Q. (2024) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2024.104716 · Cited by 38
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“The so-called Mini Nutritional Assessment–Short Form (MNA-SF) (8), nutrition risk score (NRS) (9), Malnutrition Universal Screening Tool (MUST) (10), Malnutrition Screening Tool (MST) (11), and geriatric nutritional risk index (GNRI) (1) are tools consisting of two to five components that were developed for use with e…”
Ferrer, A., Formiga, F., Ruiz, D., Mascaró, J., Olmedo, C., & Pujol, R. (2008) · European Journal of Public Health · doi:10.1093/eurpub/ckn020 · Cited by 38
Chassagne, P., Ducrotte, P., Garnier, P., & Mathiex‐Fortunet, H. (2016) · The journal of nutrition health & aging · doi:10.1007/s12603-016-0762-6 · Cited by 38
Association between gait abnormality and malnutrition in a community‐dwelling elderly population
Misu, S., Asai, T., Doi, T., Sawa, R., Ueda, Y., Saito, T., Nakamura, R., Murata, S., Sugimoto, T., Yamada, M., et al. (2016) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12839 · Cited by 38
Oral health matters for the nutritional status of older persons—A population‐based study
Lindmark, U., Jansson, H., Lannering, C., & Johansson, L. (2017) · Journal of Clinical Nursing · doi:10.1111/jocn.14146 · Cited by 38
CE: Malnutrition in Older Adults
Mangels, A. R. (2018) · AJN American Journal of Nursing · doi:10.1097/01.naj.0000530915.26091.be · Cited by 38
Si, H., Wang, C., Jin, Y., Tian, X., Qiao, X., Liu, N., & Dong, L. (2019) · Pain Management Nursing · doi:10.1016/j.pmn.2019.01.006 · Cited by 38
Shim, H., Kim, M., & Won, C. W. (2019) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2019.103990 · Cited by 38
Henrique, J. R., Pereira, R. G., Ferreira, Á. R. S., Keller, H., de van der Schueren, M. A. E., González, M. C., Meira, W., & Correia, M. I. T. D. (2020) · Nutrition · doi:10.1016/j.nut.2020.110961 · Cited by 38
Relationship Between Nutritional Status and Quality of Life in Patients with Lung Cancer
Polański, J., Jankowska‐Polańska, B., & Mazur, G. J. (2021) · Cancer Management and Research · doi:10.2147/cmar.s287551 · Cited by 38
The Impact of Frailty on Prognosis in Elderly Hemodialysis Patients: A Prospective Cohort Study
Li, Y., Zhang, D., Ma, Q., Diao, Z., Liu, S., & Shi, X. (2021) · Clinical Interventions in Aging · doi:10.2147/cia.s329665 · Cited by 38
“MNA-SF score was classified as follows: normal nutrition (>11 points), malnutrition risk (7–11 points) and malnutrition (<7 points).(9)”
BackgroundYoshimura, Y., Wakabayashi, H., Nagano, F., Matsumoto, A., Shimazu, S., Shiraishi, A., Kido, Y., & Bise, T. (2022) · Nutrients · doi:10.3390/nu14194205 · Cited by 40
“Data Collection Basic patient data were collected upon admission, including age, sex, BMI, stroke type, premorbid ADL using the modified Rankin scale (mRS) score [31], comorbidities using the Charlson comorbidity index (CCI) score [32], days from onset of stroke to admission to the wards [33], information on paralysis…”
MethodThe two‐step Mini Nutritional Assessment procedure in community resident homes
Wikby, K., Ek, A., & Christensson, L. (2008) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2007.02012.x · Cited by 38
van Venrooij, L. M. W., de Vos, R., Borgmeijer-Hoelen, A. M. M. J., Kruizenga, H. M., Jonkers‐Schuitema, C. F., & de Mol, B. A. J. M. (2007) · e-SPEN the European e-Journal of Clinical Nutrition and Metabolism · doi:10.1016/j.eclnm.2007.03.001 · Cited by 38
Nishioka, S., & Wakabayashi, H. (2022) · Nutrition Reviews · doi:10.1093/nutrit/nuac047 · Cited by 39
Cécile, M., Seux, V., Pauly, V., Tassy, S., Reynaud-Levy, O., Dalco, O., Thirion, X., Soubeyrand, J., & Rétornaz, F. (2009) · La Revue de Médecine Interne · doi:10.1016/j.revmed.2009.01.010 · Cited by 37
Castro, L. A., Favela, J., Quintana, E., & Perez, M. (2014) · Personal and Ubiquitous Computing · doi:10.1007/s00779-014-0825-9 · Cited by 37
“Among the tests, they assessed morbidity, independence in activities of daily living using the ADL-KATZ [22], the SF-36 health survey [23], the Mini-Nutritional Assessment (MNA) [24], and the International Physical Activity Questionnaire (IPAQ) [25, 26].”
MethodVandewoude, M. F. J., & Gossum, A. V. (2013) · The journal of nutrition health & aging · doi:10.1007/s12603-013-0033-8 · Cited by 37
“According to a recent literature review, the MNA-SF appeared to be the most appropriate nutrition screening tool for use in community-dwelling older adults with a reported sensitivity of 98% (14) and a specificity of 94% (8).”
MethodSlee, A., Birch, D., & Stokoe, D. (2016) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2016.06.002 · Cited by 38
Ariza‐Solé, A., Guerrero, C., Formiga, F., Aboal, J., Abu‐Assi, E., Marín, F. R., Bueno, H., Alegre, O., López‐Palop, R., Vidán, M. T., et al. (2018) · Thrombosis and Haemostasis · doi:10.1055/s-0038-1623532 · Cited by 37
Rosenberg, T., Montgomery, P. R., Hay, V., & Lattimer, R. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-032712 · Cited by 36
Yamamoto, K., Tsuchihashi‐Makaya, M., Kinugasa, Y., Iida, Y., Kamiya, K., Kihara, Y., Kono, Y., Sato, Y., Suzuki, N., Takeuchi, H., et al. (2020) · Circulation Journal · doi:10.1253/circj.cj-20-0322 · Cited by 37
Sobrini-Morillo, P., Sánchez-Castellano, C., & Cruz-Jentoft, A. J. (2021) · European Geriatric Medicine · doi:10.1007/s41999-020-00442-8 · Cited by 37
Fahim, S. M., Hossain, M. S., Sen, S., Das, S., Hossain, M., Ahmed, T., Rahman, S. M. M., Rahman, M. K., & Alam, S. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab473 · Cited by 37
Ferreira, L. S., Nascimento, L. F. C., & Marucci, M. D. F. N. (2008) · The journal of nutrition health & aging · doi:10.1007/bf02982623 · Cited by 37
Rodríguez-Sánchez, B., SULO, S. S., Carnicero, J. A. C., Rueda, R., & Rodríguez‐Mañas, L. (2020) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s256671 · Cited by 36
Ho, Y., Tang, W., Chen, S., Lee, S., Chen, J., Hung, Y., & Chou, W. (2021) · Aging · doi:10.18632/aging.203673 · Cited by 36
Bedside measures of malnutrition and association with mortality in hospitalized adults
Asiimwe, S. B., Muzoora, C. K., Wilson, L. A., & Moore, C. C. (2014) · Clinical Nutrition · doi:10.1016/j.clnu.2014.03.013 · Cited by 38
Alzahrani, S. H., Sayed, I. A. E., & Alshamrani, S. M. (2016) · Annals of Saudi Medicine · doi:10.5144/0256-4947.2016.346 · Cited by 36
Donini, L. M., Marrocco, W., Marocco, C., & Lenzi, A. (2017) · The journal of nutrition health & aging · doi:10.1007/s12603-017-0919-y · Cited by 36
“Scores ranging from 17 to 23.5 points are indicative of increased nutritional risk, and values below 17 points strongly suggest a state of malnutrition; - MNA-SF (30, 31).”
InfluentialAliasghari, F., Izadi, A., Khalili, M., Farhoudi, M., Ahmadiyan, S., & Deljavan, R. (2018) · Journal of the American College of Nutrition · doi:10.1080/07315724.2018.1510348 · Cited by 36
Ott, A., Senger, M., Lötzbeyer, T., Gefeller, O., Sieber, C. C., & Volkert, D. (2019) · Journal of Nutrition in Gerontology and Geriatrics · doi:10.1080/21551197.2019.1628158 · Cited by 40
Metadata
- Authors
- Rubenstein, L. Z., Harker, J. O., Salva, A., Guigoz, Y., & Vellas, B.
- Affiliations
- University of California, Los Angeles (US)
- VA Sepulveda Ambulatory Care Center (US)
- Nestlé (Switzerland) (CH)
- Corresponding author
- Rubenstein, L. Z.
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-06-01
- Volume
- 56
- Issue
- 6
- Pages
- M366-M372
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W2122613011
- Cited by
- 2,751
- References
- 14
- Citations by year
- 2026: 252 · 2025: 266 · 2024: 265 · 2023: 239 · 2022: 252 · 2021: 263 · 2020: 179 · 2019: 143 · 2018: 112 · 2017: 112 · 2016: 109 · 2015: 93 · 2014: 79 · 2013: 61 · 2012: 76
- FWCI
- 5.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journals of Gerontology Series A (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Geriatric Research Education and Clinical Center
- VA Greater Los Angeles Healthcare System
- Topics
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Keywords
- Mini Nutritional Assessment, undernutrition screening, nutritional assessment, older adults, elderly nutrition, screening tool development, diagnostic accuracy, two-stage screening
- MeSH terms
- Aged, Female, Geriatrics, Humans, Male, Mass Screening, Nutrition Disorders, Professional Practice, Nutrition Assessment, Discriminant Analysis
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