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The minimum data set: predicting malnutrition in newly admitted nursing home residents.
Clin Nurs Res 2002; 11(3):341-53CN

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.

Authors+Show Affiliations

College of Nursing, University of Arizona Health Sciences Center, USA.No affiliation info availableNo affiliation info available

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 -