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Article: Screening malnutrition in long-term care facility: A cross-sectional study comparing mini nutritional assessment (MNA) and minimum data set (MDS)

TitleScreening malnutrition in long-term care facility: A cross-sectional study comparing mini nutritional assessment (MNA) and minimum data set (MDS)
Authors
KeywordsInstitutional care
Mini nutritional assessment
Minimum data set
Nursing homes
Nutrition assessment
Issue Date1-Aug-2022
PublisherElsevier
Citation
Collegian, 2022, v. 29, n. 4, p. 465-470 How to Cite?
Abstract

Background

Malnutrition is a factor associated with mortality, particularly for older residents in long-term care facilities.

Aim

This study aimed to evaluate the Minimum Data Set-based Screening for Nutritional Problem (MDS-SNP) and Mini Nutritional Assessment (MNA) in screening malnutrition among institutionalised older adults in Taiwan.

Methods

A cross-sectional research design was employed and data from 131 residents were collected in northern Taiwan. Demographic and clinical variables such as cognitive function, activities of daily living, depression status, MDS-SNP, MNA, and dietary habits were obtained from residents’ profiles.

Findings

The prevalence of malnutrition and risk of malnutrition defined by MNA were 32.8% (n = 43) and 30.5% (n = 40), respectively and 59.5% (n = 78) was at risk of malnutrition according to MDS-SNP. Multivariate logistic regression disclosed that some of the MDS-SNP items such as BMI and complaints of hunger, were significantly associated with MNA-defined risk and malnutrition but none of these were considered as trigger items in MDS-SNP.

Discussion

Our study suggested that the MDS-SNP may be considered as an appropriate malnutrition screening tool. Screening nutritional status of older people is important because of its significant association with chronic conditions and function as well as quality of life.

Conclusion

A modified MDS-based malnutrition screening tool in long-term care settings which considered BMI, complaints of hunger and nutritional approaches to deliver food as predictors is warranted.


Persistent Identifierhttp://hdl.handle.net/10722/328423
ISSN
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 0.533
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHo, MH-
dc.contributor.authorLee, YW-
dc.contributor.authorWang, MH-
dc.contributor.authorLin, YF-
dc.contributor.authorChang, HC-
dc.contributor.authorLin, YK-
dc.contributor.authorChuang, YH-
dc.contributor.authorLiu, MF-
dc.contributor.authorChang, CC-
dc.contributor.authorMontayre, J-
dc.date.accessioned2023-06-28T04:44:48Z-
dc.date.available2023-06-28T04:44:48Z-
dc.date.issued2022-08-01-
dc.identifier.citationCollegian, 2022, v. 29, n. 4, p. 465-470-
dc.identifier.issn1322-7696-
dc.identifier.urihttp://hdl.handle.net/10722/328423-
dc.description.abstract<h3>Background</h3><p>Malnutrition is a factor associated with mortality, particularly for older residents in long-term care facilities.</p><h3>Aim</h3><p>This study aimed to evaluate the Minimum Data Set-based Screening for Nutritional Problem (MDS-SNP) and Mini <a href="https://www.sciencedirect.com/topics/nursing-and-health-professions/nutritional-assessment" title="Learn more about Nutritional Assessment from ScienceDirect's AI-generated Topic Pages">Nutritional Assessment</a> (MNA) in screening malnutrition among institutionalised older adults in Taiwan.</p><h3>Methods</h3><p>A cross-sectional research design was employed and data from 131 residents were collected in northern Taiwan. Demographic and clinical variables such as cognitive function, activities of daily living, depression status, MDS-SNP, MNA, and dietary habits were obtained from residents’ profiles.</p><h3>Findings</h3><p>The prevalence of malnutrition and risk of malnutrition defined by MNA were 32.8% (n = 43) and 30.5% (n = 40), respectively and 59.5% (n = 78) was at risk of malnutrition according to MDS-SNP. Multivariate <a href="https://www.sciencedirect.com/topics/nursing-and-health-professions/logistic-regression-analysis" title="Learn more about logistic regression from ScienceDirect's AI-generated Topic Pages">logistic regression</a> disclosed that some of the MDS-SNP items such as <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/body-mass-index" title="Learn more about BMI from ScienceDirect's AI-generated Topic Pages">BMI</a> and complaints of hunger, were significantly associated with MNA-defined risk and malnutrition but none of these were considered as trigger items in MDS-SNP.</p><h3>Discussion</h3><p>Our study suggested that the MDS-SNP may be considered as an appropriate malnutrition screening tool. Screening nutritional status of older people is important because of its significant association with chronic conditions and function as well as quality of life.</p><h3>Conclusion</h3><p>A modified MDS-based malnutrition screening tool in long-term care settings which considered <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/body-mass-index" title="Learn more about BMI from ScienceDirect's AI-generated Topic Pages">BMI</a>, complaints of hunger and nutritional approaches to deliver food as predictors is warranted.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofCollegian-
dc.subjectInstitutional care-
dc.subjectMini nutritional assessment-
dc.subjectMinimum data set-
dc.subjectNursing homes-
dc.subjectNutrition assessment-
dc.titleScreening malnutrition in long-term care facility: A cross-sectional study comparing mini nutritional assessment (MNA) and minimum data set (MDS)-
dc.typeArticle-
dc.identifier.doi10.1016/j.colegn.2021.10.014-
dc.identifier.scopuseid_2-s2.0-85119158859-
dc.identifier.volume29-
dc.identifier.issue4-
dc.identifier.spage465-
dc.identifier.epage470-
dc.identifier.isiWOS:000817053700007-
dc.identifier.issnl1322-7696-

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