Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-28T16:06:51.887Z Has data issue: false hasContentIssue false
  • English
  • Français

Factors associated with malnutrition in long-term care versus community dwelling older Irish adults

Published online by Cambridge University Press:  06 September 2018

M. Kelly ,
H. Purtill ,
M. Grace ,
S. Leahy ,
P.W. O'Toole ,
E. O'Herlihy  and
E.M. O'Connor
M. Kelly
Affiliation:
Department of Biological Sciences, School of Natural Sciences, University of Limerick, Limerick, Ireland
H. Purtill
Affiliation:
Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland Health Research Institute, University of Limerick, Limerick, Ireland
M. Grace
Affiliation:
Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland
S. Leahy
Affiliation:
Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland
P.W. O'Toole
Affiliation:
School of Microbiology, University College Cork, Cork, Ireland Alimentary Pharmabiotic Centre, Microbiome Institute, University College Cork, Cork, Ireland
E. O'Herlihy
Affiliation:
School of Microbiology, University College Cork, Cork, Ireland
E.M. O'Connor
Affiliation:
Department of Biological Sciences, School of Natural Sciences, University of Limerick, Limerick, Ireland Alimentary Pharmabiotic Centre, Microbiome Institute, University College Cork, Cork, Ireland Health Research Institute, University of Limerick, Limerick, Ireland
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Type
Abstract
Information
Proceedings of the Nutrition Society , Volume 77 , Issue OCE3: Irish Section Meeting, 20–22 June 2018, Targeted approaches to tackling current nutritional issues , 2018 , E107
Copyright
Copyright © The Authors 2018 

The prevalence of malnutrition varies widely across elderly population subgroups; it is recognised as being higher in older adults with increasing disabilities, deteriorating health and functional status(Reference Visser, Volkert and Corish1). Since older individuals are living longer and constitute a larger percentage of the global population, it is imperative that malnutrition is detected early to develop strategies for prevention & management(2). The European Joint Programme Initiative ‘Malnutrition in the Elderly’ (MaNuEL) was created with the aim of identifying factors associated with malnutrition to develop effective interventions to prevent malnutrition in the elderly in various healthcare settings.

The ELDERMET database comprising information on free living and long-term care older adults was used to determine factors associated with malnutrition, measured at baseline, three and six-month follow-up. Malnutrition was defined as a body mass index (BMI) of < 20 kg/m2 and/or having a Mini-Nutritional Assessment score of < 17. Statistically analysis was conducted using SPSS Version 22·0 (IBM Corporation).

Four hundred and forty-six participants were included in the analysis. The baseline analysis identified 78 (17·5%) participants to be malnourished. Logistic regression analysis found long-term care (adjusted OR = 6·35, 95% CI (3·24, 12·45)) and age (adjusted OR = 1·10, 95% CI (1·05, 1·15)) to be significantly associated with malnutrition. Incidence of malnutrition was examined by considering a weight loss of more than 2·25 kg at the six-month follow-up for those individuals who were not malnourished at baseline and who provided data at six months (n = 190). Unadjusted logistic regression analysis identified age, Functional Independence Measure (FIM), Mini-Mental State Examination (MMSE), Mini-Nutritional Assessment (MNA) and setting (community versus long-term care) as significantly association with incidence malnutrition (p < 0·05). Logistic regression analysis found long-term care to be associated with incident weight loss (adjusted OR = 5·35, 95% CI (2·19, 13·04)), controlling for age, sex and BMI at baseline.

There are many factors that may contribute to the development of malnutrition in the elderly. Long-term care and age were significantly associated with malnutrition in the ELDERMET cohort. These findings provide evidence that may help identify older adults who are likely to develop malnutrition in the future and thus may contribute to the prevention/early detection of malnutrition.

This research is funded by the Department of Agriculture, Food and the Marine (DAFM) and the Health Research Board (HRB) under the Joint Programming Initiative (JPI) ‘Healthy Diet for a Healthy Life’ (HDHL) Knowledge Hub on Malnutrition in the Elderly (MaNuEL).

References

1.Visser, M, Volkert, D, Corish, C et al. (2017) Nutr Bulletin 42, 178–186.Google Scholar
2.Global Health and Aging (2011) [online] World Health Organisation. Available at: http://www.who.int/ageing/publications/global_health.pdf [Accessed 9 Oct. 2017].Google Scholar