| Literature DB >> 30256900 |
Laura A Bardon1,2, Melanie Streicher3, Clare A Corish4,2, Michelle Clarke1,2, Lauren C Power4,2, Rose A Kenny5,6,7, Deirdre M O'Connor5,6,7, Eamon Laird5,8, Eibhlis M O'Connor9, Marjolein Visser10, Dorothee Volkert3, Eileen R Gibney1,2.
Abstract
Older adults are at increased risk of malnutrition which is associated with poorer health, quality of life, and worse disease outcomes. This study identifies predictors of incident malnutrition using data from a sub-sample (n=1,841) of The Irish Longitudinal Study on Ageing (TILDA). Participants were excluded if they were <65 years, missing BMI data at baseline/follow-up, missing baseline weight loss (WL) data or malnourished at baseline (BMI <20kg/m2 or unplanned WL ≥4.5kg in the previous year). Logistic regression analysis was performed with incident malnutrition (BMI <20kg/m2 and/or calculated WL >10% over follow-up) as the dependent variable. Factors showing significant (p<0.05) univariate associations with incident malnutrition were entered into a multivariate model. The analysis was then repeated, stratified by sex. The 2-year incidence of malnutrition was 10.7%. Unmarried/separated/divorced status (vs.married but not widowed), hospitalisation in the previous year, difficulties walking 100m or climbing stairs independently predicted incident malnutrition at follow-up. When examined by sex, hospitalisation in the previous year, falls during follow-up and self-reported difficulties climbing stairs predicted malnutrition in males. Receiving social support and cognitive impairment predicted malnutrition in females.The development of malnutrition has a range of predictors. These can be assessed using simple questions to identify vulnerable persons.Entities:
Year: 2018 PMID: 30256900 DOI: 10.1093/gerona/gly225
Source DB: PubMed Journal: J Gerontol A Biol Sci Med Sci ISSN: 1079-5006 Impact factor: 6.053