Abstract
BACKGROUND: Malnutrition and poor physical performance are both conditions that increase in prevalence with age; however, their interrelation in a clinically relevant population has not been thoroughly studied.
AIMS: This study aimed to determine the strength of the association between malnutrition and measures of both static and dynamic physical performance in a cohort of geriatric outpatients.
METHODS: This cross-sectional study included 286 older adults (mean age 81.8, SD 7.2 years, and 40.6% male) who were referred to geriatric outpatient mobility clinics. The presence of malnutrition was determined using the Short Nutritional Assessment Questionnaire (SNAQ, cut-off ≥ 2 points). Measures of dynamic physical performance included timed up and go (TUG), 4-m walk test, and chair stand test (CST). Static performance encompassed balance tests and hand grip strength (HGS). Physical performance was standardized into sex-specific Z-scores. The association between malnutrition and each individual measure of physical performance was assessed using linear regression analysis.
RESULTS: 19.9% of the cohort was identified as malnourished. Malnutrition was most strongly associated with CST and gait speed; less strong but significant associations were found between malnutrition and TUG. There was no significant association between malnutrition and HGS or balance.
DISCUSSION: Physical performance was associated with malnutrition, specifically, dynamic rather than static measures. This may reflect muscle power being more impacted by nutritional status than muscle strength; however, this needs to be further addressed.
CONCLUSIONS: Malnutrition is associated with dynamic physical performance in geriatric outpatients, which should inform diagnosis and treatment/prevention strategies.
Original language | English |
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Pages (from-to) | 1085-1092 |
Journal | Aging Clinical and Experimental Research |
Volume | 32 |
Issue number | 6 |
Early online date | 19 Aug 2019 |
DOIs | |
Publication status | Published - Jun 2020 |
Funding
We thank Prof. Dr. Gerard Jan Blauw for his contribution in collecting the data. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 675003. http://www.birmingham.ac.uk/panini . This study was supported by the PANINI programme (Horizon 2020, Marie Curie, Sklodowska, Innovative Training Network, No. 675003) and PreventIT (European Union’s Horizon 2020 Research and Innovative Programme, No. 689238). The funders had no role in the study design, data collection and analysis, interpretation of data, or preparation of the manuscript.
Funders | Funder number |
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PreventIT | |
Horizon 2020 Framework Programme | 675003 |
Marie Curie | |
Horizon 2020 | 689238 |