Predictors of Incident Malnutrition in Older Irish Adults from the Irish Longitudinal Study on Ageing Cohort - A MaNuEL study
Autor: | M. Streicher, Dorothee Volkert, Deirdre O'Connor, Eileen R. Gibney, Michelle Clarke, Lauren Power, Rose Anne Kenny, Eibhlís M. O'Connor, Marjolein Visser, Laura Bardon, Eamon Laird, Clare A. Corish |
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Přispěvatelé: | Nutrition and Health, APH - Aging & Later Life, APH - Societal Participation & Health, APH - Health Behaviors & Chronic Diseases |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
0301 basic medicine Aging Longitudinal study Protein–energy malnutrition Community-dwelling Body Mass Index 03 medical and health sciences Social support Quality of life Predictive Value of Tests Risk Factors medicine Humans Longitudinal Studies SDG 2 - Zero Hunger Aged Aged 80 and over 030109 nutrition & dietetics business.industry Incidence Incidence (epidemiology) Malnutrition Age Factors Undernutrition medicine.disease Cohort Female Independent Living Geriatrics and Gerontology business Ireland Body mass index Demography |
Zdroj: | The journals of gerontology. Series A : Biological sciences and medical sciences, 75(2), 249-256. Oxford University Press MaNuEL Consortium 2020, ' Predictors of Incident Malnutrition in Older Irish Adults from the Irish Longitudinal Study on Ageing Cohort-A MaNuEL study ', The journals of gerontology. Series A : Biological sciences and medical sciences, vol. 75, no. 2, pp. 249-256 . https://doi.org/10.1093/gerona/gly225 |
ISSN: | 1079-5006 |
DOI: | 10.1093/gerona/gly225 |
Popis: | 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 subsample (n = 1,841) of The Irish Longitudinal Study on Ageing. Participants were excluded if they were less than 65 years, missing body mass index data at baseline or follow-up, missing baseline weight loss data or malnourished at baseline (body mass index 10% over follow-up) as the dependent variable. Factors showing significant (p < .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), hospitalization in the previous year, difficulties walking 100 m, or climbing stairs independently predicted incident malnutrition at follow-up. When examined by sex, hospitalization 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. |
Databáze: | OpenAIRE |
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