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The minimum data set: predicting malnutrition in newly admitted nursing home residents.

Abstract

The purpose of this study was to describe the prevalence of protein-calorie malnutrition (PCM) among newly admitted elderly nursing home residents and identify the most significant predictors of PCM using Minimum Data Set (MDS) variables. Using a cross-sectional design, the authors studied 306 nursing home residents. Malnutrition risk factors found on the MDS were measured for each resident. Overall, 118 (38.6%) residents met the Nutrition Screening Initiative Guidelines for PCM. MDS variables found to be significant predictors were weight loss, leaves 25% or more offood uneaten at most meals, psychiatric/mood diagnoses, deteriorated ability to participate in activities of daily living. and older age. Three additional variables (antidepressant use, diuretic use, therapeutic diet) were found to be protective-residents with these variables were more likely to have a normal body mass index. MDS data provide an opportunity for early identification of residents who are at riskfor PCM and accompanying morbidity.

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  • Authors+Show Affiliations

    ,

    College of Nursing, University of Arizona Health Sciences Center, USA.

    ,

    Source

    Clinical nursing research 11:3 2002 Aug pg 341-53

    MeSH

    Activities of Daily Living
    Age Factors
    Aged
    Aged, 80 and over
    Cross-Sectional Studies
    Data Collection
    Female
    Geriatric Assessment
    Humans
    Male
    Mass Screening
    Morbidity
    Nursing Assessment
    Nursing Homes
    Nutrition Assessment
    Nutritional Status
    Patient Admission
    Prevalence
    Protein-Energy Malnutrition
    Risk Factors
    Washington
    Weight Loss

    Pub Type(s)

    Journal Article

    Language

    eng

    PubMed ID

    12180644

    Citation

    Crogan, Neva L., et al. "The Minimum Data Set: Predicting Malnutrition in Newly Admitted Nursing Home Residents." Clinical Nursing Research, vol. 11, no. 3, 2002, pp. 341-53.
    Crogan NL, Corbett CF, Short RA. The minimum data set: predicting malnutrition in newly admitted nursing home residents. Clin Nurs Res. 2002;11(3):341-53.
    Crogan, N. L., Corbett, C. F., & Short, R. A. (2002). The minimum data set: predicting malnutrition in newly admitted nursing home residents. Clinical Nursing Research, 11(3), pp. 341-53.
    Crogan NL, Corbett CF, Short RA. The Minimum Data Set: Predicting Malnutrition in Newly Admitted Nursing Home Residents. Clin Nurs Res. 2002;11(3):341-53. PubMed PMID: 12180644.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - The minimum data set: predicting malnutrition in newly admitted nursing home residents. AU - Crogan,Neva L, AU - Corbett,Cynthia F, AU - Short,Robert A, PY - 2002/8/16/pubmed PY - 2003/1/11/medline PY - 2002/8/16/entrez SP - 341 EP - 53 JF - Clinical nursing research JO - Clin Nurs Res VL - 11 IS - 3 N2 - The purpose of this study was to describe the prevalence of protein-calorie malnutrition (PCM) among newly admitted elderly nursing home residents and identify the most significant predictors of PCM using Minimum Data Set (MDS) variables. Using a cross-sectional design, the authors studied 306 nursing home residents. Malnutrition risk factors found on the MDS were measured for each resident. Overall, 118 (38.6%) residents met the Nutrition Screening Initiative Guidelines for PCM. MDS variables found to be significant predictors were weight loss, leaves 25% or more offood uneaten at most meals, psychiatric/mood diagnoses, deteriorated ability to participate in activities of daily living. and older age. Three additional variables (antidepressant use, diuretic use, therapeutic diet) were found to be protective-residents with these variables were more likely to have a normal body mass index. MDS data provide an opportunity for early identification of residents who are at riskfor PCM and accompanying morbidity. SN - 1054-7738 UR - https://www.unboundmedicine.com/medline/citation/12180644/full_citation L2 - http://journals.sagepub.com/doi/full/10.1177/105477380201100308?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -