L Chye1, K Wei, M S Z Nyunt, Q Gao, S L Wee, T P Ng. 1. Tze-Pin Ng, Gerontology Research Programme, National University of Singapore, Department of Psychological Medicine, NUHS Tower Block, 9th Floor, 1E Kent Ridge Road, Singapore 119228 Fax: 65-67772191, Tel: 65-67723478 Email: pcmngtp@nus.edu.sg.
Abstract
BACKGROUND: Physical frailty is well known to be strongly associated with malnutrition, but the combined impact of physical frailty and cognitive impairment among non-demented older persons (cognitive frailty) on malnutrition prevalence is not well documented. DESIGN: Cross-sectional cohort study. SETTING AND PARTICIPANTS: Community-dwelling older Singaporeans aged ≥55y (n=5414) without dementia in the Singapore Longitudinal Ageing Study (SLAS-1 and SLAS-2). MEASUREMENTS: The Mini Nutritional Assessment - short form (MNA-SF) and Nutrition Screening Initiative (NSI) Determine Checklist were used to determine their nutritional status. Participants were categorized as cognitive normal (CN) or cognitive impaired (CI) by Mini Mental State Examination (MMSE<=23), as pre-frail (PF) (score=1-2) or frail (F) (score=3-5) using Fried's criteria, and as cognitive pre-frail (PF+CI) or cognitive frail (F+CI). RESULTS: The prevalence of cognitive frailty was 1.6%, and cognitive pre-frailty was 5.5% (total, 7.1%). The prevalence of MNA malnutrition was 2.4%, and NSI high nutritional risk was 6.3%. The prevalence of MNA malnutrition was lowest among Robust-CN and highest among Frail-CI (0.5% in Robust-CN, 0.6% in Robust-CI, 2.8% in Pre-frail-CN, 7.3% in Pre-frail-CI, 15.4% in Frail-CN, and 23.1% in Frail-CI). Similarly, the prevalence of NSI high nutritional risk was lowest in Robust-CN (3.7%) and highest in Frail-CI (13.6%). Adjusted for sociodemographic and health status, pre-frailty/frailty-CI versus Robust-CN was associated with the highest odds ratio of association with MNA malnutrition (OR=8.16, p<0.001), although not the highest with NSI high nutritional risk (OR=1.48, p=0.017). CONCLUSIONS: An extraordinary high prevalence of malnutrition was observed among older adults with cognitive frailty who should be specially targeted for active intervention.
BACKGROUND: Physical frailty is well known to be strongly associated with malnutrition, but the combined impact of physical frailty and cognitive impairment among non-demented older persons (cognitive frailty) on malnutrition prevalence is not well documented. DESIGN: Cross-sectional cohort study. SETTING AND PARTICIPANTS: Community-dwelling older Singaporeans aged ≥55y (n=5414) without dementia in the Singapore Longitudinal Ageing Study (SLAS-1 and SLAS-2). MEASUREMENTS: The Mini Nutritional Assessment - short form (MNA-SF) and Nutrition Screening Initiative (NSI) Determine Checklist were used to determine their nutritional status. Participants were categorized as cognitive normal (CN) or cognitive impaired (CI) by Mini Mental State Examination (MMSE<=23), as pre-frail (PF) (score=1-2) or frail (F) (score=3-5) using Fried's criteria, and as cognitive pre-frail (PF+CI) or cognitive frail (F+CI). RESULTS: The prevalence of cognitive frailty was 1.6%, and cognitive pre-frailty was 5.5% (total, 7.1%). The prevalence of MNAmalnutrition was 2.4%, and NSI high nutritional risk was 6.3%. The prevalence of MNAmalnutrition was lowest among Robust-CN and highest among Frail-CI (0.5% in Robust-CN, 0.6% in Robust-CI, 2.8% in Pre-frail-CN, 7.3% in Pre-frail-CI, 15.4% in Frail-CN, and 23.1% in Frail-CI). Similarly, the prevalence of NSI high nutritional risk was lowest in Robust-CN (3.7%) and highest in Frail-CI (13.6%). Adjusted for sociodemographic and health status, pre-frailty/frailty-CI versus Robust-CN was associated with the highest odds ratio of association with MNAmalnutrition (OR=8.16, p<0.001), although not the highest with NSI high nutritional risk (OR=1.48, p=0.017). CONCLUSIONS: An extraordinary high prevalence of malnutrition was observed among older adults with cognitive frailty who should be specially targeted for active intervention.
Authors: Ece Kocagoncu; David Nesbitt; Tina Emery; Laura E Hughes; Richard N Henson; James B Rowe Journal: J Neurosci Date: 2022-01-10 Impact factor: 6.709