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Using the minimum data set to predict weight loss in nursing home residents
Cynthia F Corbett1, Neva L Crogan, Robert A Short
1Intercollegiate College of Nursing, Washington State University, Spokane, WA 99224, USA. corbett@wsu.edu
Applied Nursing Research : ANR
|November 22, 2002
Summary
Nursing home residents who leave food uneaten, take antianxiety medication, or cannot feed themselves independently are at higher risk for weight loss. These factors predict significant weight changes in older adults. Keywords: nursing home residents, weight loss, older adults, predictors.
Area of Science:
- Gerontology
- Clinical Nutrition
- Longitudinal Studies
Background:
- Unintentional weight loss is a significant concern for older adults residing in nursing homes, impacting health outcomes.
- Predicting and preventing weight loss in this vulnerable population is crucial for maintaining their well-being and quality of life.
Purpose of the Study:
- To identify key predictors of resident weight changes using data from the Minimum Data Set (MDS).
- To explore factors associated with weight loss in older adults living in nursing home settings.
Main Methods:
- A longitudinal exploratory study design was employed.
- Data from the Minimum Data Set (MDS) of 77 older adult residents across three nursing homes were analyzed.
- Statistical analysis focused on identifying significant predictors of weight changes from the last available MDS.
Main Results:
- Three variables from the MDS significantly predicted weight loss.
- These predictors include leaving 25% or more of food uneaten at most meals.
- Receiving antianxiety medication and lacking independent feeding ability were also significant predictors of weight loss.
Conclusions:
- Specific indicators within the MDS can effectively predict weight loss in nursing home residents.
- Clinical attention to food intake, medication use (antianxiety), and self-feeding capabilities is vital for managing weight in older adults.
- Early identification of these risk factors can inform targeted interventions to prevent adverse weight changes.