title: Using the minimum data set to predict weight loss in nursing home residents.
abstract: In this longitudinal exploratory study, items from the minimum data set (MDS) were used to predict resident weight changes in older adults (N = 77) from three nursing homes. At the end of the study period, three variables from the last available MDS were significant predictors of weight loss: 1) leaves 25% or more of food uneaten at most meals, 2) receiving an antianxiety medication, and 3) not having the ability to feed oneself independently.
authors.affiliation: Intercollegiate College of Nursing, Washington State University, Spokane, WA 99224, USA. corbett@wsu.edu
authors.forename: Cynthia F
authors.initials: CF
authors.lastname: Corbett
authors.forename: Neva L
authors.initials: NL
authors.lastname: Crogan
authors.forename: Robert A
authors.initials: RA
authors.lastname: Short
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D014151:Anti-Anxiety Agents / Q000009:adverse effects; D015992:Body Mass Index; D003625:Data Collection / Q000379:methods*; D005247:Feeding Behavior; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D009735:Nursing Homes; D015596:Nutrition Assessment; D009748:Nutrition Disorders / Q000209:etiology / Q000517:prevention & control; D009752:Nutritional Status; D012307:Risk Factors; D015431:Weight Loss / Q000187:drug effects
chemical_list: D014151:Anti-Anxiety Agents