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Predictors of incident malnutrition—a nutritionDay analysis in 11,923 nursing home residents
by
Großhauser Franz
, Sieber, Cornel C
, Weber, Jasmin
, Hiesmayr, Michael J
, Volkert Dorothee
, Sulz Isabella
, Visser Marjolein
, Torbahn Gabriel
, Kiesswetter Eva
, Schindler, Karin
in
Cognitive ability
/ Completeness
/ Confidence intervals
/ Impairment
/ Malnutrition
/ Nursing homes
/ Nutrition
/ Nutritional status
/ Risk groups
/ Weight loss
2022
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Predictors of incident malnutrition—a nutritionDay analysis in 11,923 nursing home residents
by
Großhauser Franz
, Sieber, Cornel C
, Weber, Jasmin
, Hiesmayr, Michael J
, Volkert Dorothee
, Sulz Isabella
, Visser Marjolein
, Torbahn Gabriel
, Kiesswetter Eva
, Schindler, Karin
in
Cognitive ability
/ Completeness
/ Confidence intervals
/ Impairment
/ Malnutrition
/ Nursing homes
/ Nutrition
/ Nutritional status
/ Risk groups
/ Weight loss
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
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Predictors of incident malnutrition—a nutritionDay analysis in 11,923 nursing home residents
by
Großhauser Franz
, Sieber, Cornel C
, Weber, Jasmin
, Hiesmayr, Michael J
, Volkert Dorothee
, Sulz Isabella
, Visser Marjolein
, Torbahn Gabriel
, Kiesswetter Eva
, Schindler, Karin
in
Cognitive ability
/ Completeness
/ Confidence intervals
/ Impairment
/ Malnutrition
/ Nursing homes
/ Nutrition
/ Nutritional status
/ Risk groups
/ Weight loss
2022
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Predictors of incident malnutrition—a nutritionDay analysis in 11,923 nursing home residents
Journal Article
Predictors of incident malnutrition—a nutritionDay analysis in 11,923 nursing home residents
2022
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Overview
Background/ObjectivesMalnutrition (MN) in nursing home (NH) residents is associated with poor outcome. In order to identify those with a high risk of incident MN, the knowledge of predictors is crucial. Therefore, we investigated predictors of incident MN in older NH-residents.Subjects/MethodsNH-residents participating in the nutritionDay-project (nD) between 2007 and 2018, aged ≥65 years, with complete data on nutritional status at nD and after 6 months and without MN at nD. The association of 17 variables (general characteristics (n = 3), function (n = 4), nutrition (n = 1), diseases (n = 5) and medication (n = 4)) with incident MN (weight loss ≥ 10% between nD and follow-up (FU) or BMI (kg/m2) < 20 at FU) was analyzed in univariate generalized estimated equation (GEE) models. Significant (p < 0.1) variables were selected for multivariate GEE-analyses. Effect estimates are presented as odds ratios and their respective 99.5%-confidence intervals.ResultsOf 11,923 non-malnourished residents, 10.5% developed MN at FU. No intake at lunch (OR 2.79 [1.56–4.98]), a quarter (2.15 [1.56–2.97]) or half of the meal eaten (1.72 [1.40–2.11]) (vs. three-quarter to complete intake), the lowest BMI-quartile (20.0–23.0) (1.86 [1.44–2.40]) (vs. highest (≥29.1)), being between the ages of 85 and 94 years (1.46 [1.05; 2.03]) (vs. the youngest age-group 65–74 years)), severe cognitive impairment (1.38 [1.04; 1.84]) (vs. none) and being immobile (1.28 [1.00–1.62]) (vs. mobile) predicted incident MN in the final model.Conclusion10.5% of non-malnourished NH-residents develop MN within 6 months. Attention should be paid to high-risk groups, namely residents with poor meal intake, low BMI, severe cognitive impairment, immobility, and older age.
Publisher
Nature Publishing Group
Subject
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