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Frequency of Malnutrition in Older Adults: A Multinational Perspective Using the Mini Nutritional Assessment

Identifieur interne : 002963 ( Istex/Corpus ); précédent : 002962; suivant : 002964

Frequency of Malnutrition in Older Adults: A Multinational Perspective Using the Mini Nutritional Assessment

Auteurs : Matthias J. Kaiser ; Jürgen M. Bauer ; Christiane R Msch ; Wolfgang Uter ; Yves Guigoz ; Tommy Cederholm ; David R. Thomas ; Patricia S. Anthony ; Karen E. Charlton ; Marcello Maggio ; Alan C. Tsai ; Bruno Vellas ; Cornel C. Sieber

Source :

RBID : ISTEX:DE9B55CF29DAE3508235F3877872BCB3C0BA567A

English descriptors

Abstract

OBJECTIVES: To provide pooled data on the prevalence of malnutrition in elderly people as evaluated using the Mini Nutritional Assessment (MNA).

Url:
DOI: 10.1111/j.1532-5415.2010.03016.x

Links to Exploration step

ISTEX:DE9B55CF29DAE3508235F3877872BCB3C0BA567A

Le document en format XML

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<p>
<hi rend="bold">OBJECTIVES: </hi>
To provide pooled data on the prevalence of malnutrition in elderly people as evaluated using the Mini Nutritional Assessment (MNA).</p>
<p>
<hi rend="bold">DESIGN: </hi>
Retrospective pooled analysis of previously published datasets.</p>
<p>
<hi rend="bold">SETTING: </hi>
Hospital, rehabilitation, nursing home, community.</p>
<p>
<hi rend="bold">PARTICIPANTS: </hi>
Four thousand five hundred seven people (75.2% female) with a mean age of 82.3.</p>
<p>
<hi rend="bold">MEASUREMENTS: </hi>
The prevalence of malnutrition in the combined database and in the four settings was examined.</p>
<p>
<hi rend="bold">RESULTS: </hi>
Twenty‐four data sets with information on full MNA classification from researchers from 12 countries were submitted. In the combined database, the prevalence of malnutrition was 22.8%, with considerable differences between the settings (rehabilitation, 50.5%; hospital, 38.7%; nursing home, 13.8%; community, 5.8%). In the combined database, the “at risk” group had a prevalence of 46.2%. Consequently, approximately two‐thirds of study participants were at nutritional risk or malnourished.</p>
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<hi rend="bold">CONCLUSION: </hi>
The MNA has gained worldwide acceptance and shows a high prevalence of malnutrition in different settings, except for the community. Because of its specific geriatric focus, the MNA should be recommended as the basis for nutritional evaluation in older people.</p>
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<p>
<b>OBJECTIVES: </b>
To provide pooled data on the prevalence of malnutrition in elderly people as evaluated using the Mini Nutritional Assessment (MNA).</p>
<p>
<b>DESIGN: </b>
Retrospective pooled analysis of previously published datasets.</p>
<p>
<b>SETTING: </b>
Hospital, rehabilitation, nursing home, community.</p>
<p>
<b>PARTICIPANTS: </b>
Four thousand five hundred seven people (75.2% female) with a mean age of 82.3.</p>
<p>
<b>MEASUREMENTS: </b>
The prevalence of malnutrition in the combined database and in the four settings was examined.</p>
<p>
<b>RESULTS: </b>
Twenty‐four data sets with information on full MNA classification from researchers from 12 countries were submitted. In the combined database, the prevalence of malnutrition was 22.8%, with considerable differences between the settings (rehabilitation, 50.5%; hospital, 38.7%; nursing home, 13.8%; community, 5.8%). In the combined database, the “at risk” group had a prevalence of 46.2%. Consequently, approximately two‐thirds of study participants were at nutritional risk or malnourished.</p>
<p>
<b>CONCLUSION: </b>
The MNA has gained worldwide acceptance and shows a high prevalence of malnutrition in different settings, except for the community. Because of its specific geriatric focus, the MNA should be recommended as the basis for nutritional evaluation in older people.</p>
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<title>Frequency of Malnutrition in Older Adults: A Multinational Perspective Using the Mini Nutritional Assessment</title>
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<title>FREQUENCY OF MALNUTRITION IN THE ELDERLY</title>
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<title>Frequency of Malnutrition in Older Adults: A Multinational Perspective Using the Mini Nutritional Assessment</title>
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<name type="personal">
<namePart type="given">Matthias J.</namePart>
<namePart type="family">Kaiser</namePart>
<namePart type="termsOfAddress">MD</namePart>
<affiliation>From the Institute for Biomedicine of Aging</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
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</name>
<name type="personal">
<namePart type="given">Jürgen M.</namePart>
<namePart type="family">Bauer</namePart>
<namePart type="termsOfAddress">MD</namePart>
<affiliation>From the Institute for Biomedicine of Aging</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Christiane</namePart>
<namePart type="family">Rämsch</namePart>
<namePart type="termsOfAddress">Dipl.‐Biomath. (FH)</namePart>
<affiliation>Department of Medical Informatics, Biometry and Epidemiology, Friedrich‐Alexander University Erlangen‐Nürnberg, Erlangen, Germany</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Wolfgang</namePart>
<namePart type="family">Uter</namePart>
<namePart type="termsOfAddress">MD</namePart>
<affiliation>Department of Medical Informatics, Biometry and Epidemiology, Friedrich‐Alexander University Erlangen‐Nürnberg, Erlangen, Germany</affiliation>
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<name type="personal">
<namePart type="given">Yves</namePart>
<namePart type="family">Guigoz</namePart>
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<affiliation>Nestlé Nutrition/HealthCare Nutrition, Gland, Switzerland</affiliation>
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<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tommy</namePart>
<namePart type="family">Cederholm</namePart>
<namePart type="termsOfAddress">MD, PhD</namePart>
<affiliation>Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
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<name type="personal">
<namePart type="given">David R.</namePart>
<namePart type="family">Thomas</namePart>
<namePart type="termsOfAddress">MD</namePart>
<affiliation>Division of Geriatric Medicine, Saint Louis University Health Sciences Center, St. Louis, Missouri</affiliation>
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<name type="personal">
<namePart type="given">Patricia S.</namePart>
<namePart type="family">Anthony</namePart>
<namePart type="termsOfAddress">MS, RD</namePart>
<affiliation>Nestlé Nutrition/HealthCare Nutrition, Gland, Switzerland</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Karen E.</namePart>
<namePart type="family">Charlton</namePart>
<namePart type="termsOfAddress">PhD</namePart>
<affiliation>School of Health Sciences, Faculty of Health and Behavioral Sciences, University of Wollongong, Wollongong, Australia</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
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<name type="personal">
<namePart type="given">Marcello</namePart>
<namePart type="family">Maggio</namePart>
<namePart type="termsOfAddress">MD, PhD</namePart>
<affiliation>Department of Internal Medicine and Biomedical Sciences, Section of Geriatrics, University Hospital of Parma, Parma, Italy</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Alan C.</namePart>
<namePart type="family">Tsai</namePart>
<namePart type="termsOfAddress">PhD</namePart>
<affiliation>Graduate Institute of Long‐Term Care, Department of Healthcare Administration, Asia University, Taiwan, ROC</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Bruno</namePart>
<namePart type="family">Vellas</namePart>
<namePart type="termsOfAddress">MD, PhD</namePart>
<affiliation>CHU Toulouse, Inserm U558, Department of Geriatric Medicine, Toulouse, France.</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Cornel C.</namePart>
<namePart type="family">Sieber</namePart>
<namePart type="termsOfAddress">MD</namePart>
<affiliation>From the Institute for Biomedicine of Aging</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="corporate">
<namePart>for the Mini Nutritional Assessment International Group</namePart>
<description>From the Institute for Biomedicine of AgingDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich‐Alexander University Erlangen‐Nürnberg, Erlangen, GermanyNestlé Nutrition/HealthCare Nutrition, Gland, SwitzerlandClinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, SwedenDivision of Geriatric Medicine, Saint Louis University Health Sciences Center, St. Louis, MissouriSchool of Health Sciences, Faculty of Health and Behavioral Sciences, University of Wollongong, Wollongong, AustraliaDepartment of Internal Medicine and Biomedical Sciences, Section of Geriatrics, University Hospital of Parma, Parma, ItalyGraduate Institute of Long‐Term Care, Department of Healthcare Administration, Asia University, Taiwan, ROCCHU Toulouse, Inserm U558, Department of Geriatric Medicine, Toulouse, France.</description>
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<dateIssued encoding="w3cdtf">2010-09</dateIssued>
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<abstract>OBJECTIVES: To provide pooled data on the prevalence of malnutrition in elderly people as evaluated using the Mini Nutritional Assessment (MNA).</abstract>
<abstract>DESIGN: Retrospective pooled analysis of previously published datasets.</abstract>
<abstract>SETTING: Hospital, rehabilitation, nursing home, community.</abstract>
<abstract>PARTICIPANTS: Four thousand five hundred seven people (75.2% female) with a mean age of 82.3.</abstract>
<abstract>MEASUREMENTS: The prevalence of malnutrition in the combined database and in the four settings was examined.</abstract>
<abstract>RESULTS: Twenty‐four data sets with information on full MNA classification from researchers from 12 countries were submitted. In the combined database, the prevalence of malnutrition was 22.8%, with considerable differences between the settings (rehabilitation, 50.5%; hospital, 38.7%; nursing home, 13.8%; community, 5.8%). In the combined database, the “at risk” group had a prevalence of 46.2%. Consequently, approximately two‐thirds of study participants were at nutritional risk or malnourished.</abstract>
<abstract>CONCLUSION: The MNA has gained worldwide acceptance and shows a high prevalence of malnutrition in different settings, except for the community. Because of its specific geriatric focus, the MNA should be recommended as the basis for nutritional evaluation in older people.</abstract>
<subject lang="en">
<genre>keywords</genre>
<topic>malnutrition</topic>
<topic>undernutrition</topic>
<topic>Mini Nutritional Assessment</topic>
<topic>elderly</topic>
<topic>nutritional screening</topic>
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<identifier type="eISSN">1532-5415</identifier>
<identifier type="DOI">10.1111/(ISSN)1532-5415</identifier>
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<part>
<date>2010</date>
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<caption>vol.</caption>
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<number>9</number>
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<start>1734</start>
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<accessCondition type="use and reproduction" contentType="copyright">© 2010, Copyright the Authors. Journal compilation © 2010, The American Geriatrics Society</accessCondition>
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