Medizinische Universität Graz - Research portal

Go directly to the nagivation.
Go directly to the content.

Navigation/Search

Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Bauer, S; Halfens, RJG; Lohrmann, C.
Changes in nutritional status in nursing home residents and associated factors in nutritional status decline: a secondary data analysis.
J Adv Nurs. 2017; 73(10):2420-2429 Doi: 10.1111/jan.13297
Web of Science PubMed FullText FullText_MUG

Leading authors Med Uni Graz: Bauer Silvia
Co-authors Med Uni Graz: Lohrmann Christa
Altmetrics:
Dimensions Citations:
Plum Analytics:
Scite (citation analytics):
Abstract:: The aim of this study was to describe changes in the nutritional status of nursing home residents over a period of 1 year and identify factors associated with a decline in nutritional status. The maintenance of good nutritional status is important for nursing home residents. Therefore, it is essential to identify risk factors that indicate a decline in nutritional status to take early prevention steps. Secondary data analysis of repeated cross-sectional studies. Data collection was performed between 2009-2013 using the International Prevalence Measurement of Care Problems questionnaire. Data from three purposively selected nursing homes that included 157 residents were analysed. The comparison between baseline data and data collected 1 year later showed that the nutritional status declined in 22·8% of the residents and improved in 6·5% of the cases. The body mass index and changes in the body mass index were significantly different between residents with stable/improved and declined nutritional status. The multivariate logistic regression analysis showed that care dependency, length of stay, changes in body mass index and malnutrition risk at baseline were significantly associated with a decline in nutritional status. This study showed that the baseline risk of malnutrition is the most important risk factor indicating a decline in nutritional status. Therefore, healthcare professionals should identify the malnutrition risk and take action as early as possible. © 2017 John Wiley & Sons Ltd.
Find related publications in this database (using NLM MeSH Indexing): Aged -; Aged, 80 and over -; Austria -; Cross-Sectional Studies -; Female -; Humans -; Inpatients -; Logistic Models -; Male -; Multicenter Studies as Topic -; Nursing Homes -; Nutritional Status -; Risk Factors -
Find related publications in this database (Keywords): associated factors; changes; decline; malnutrition; nursing; nursing home; nutritional status