PREDICTIVE EFFECT OF MALNUTRITION ON LONG-TERM CLINICAL OUTCOMES AMONG OLDER MEN: A PROSPECTIVELY OBSERVATIONAL COHORT STUDY

doi:10.1007/s12603-019-1246-2

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Title:	PREDICTIVE EFFECT OF MALNUTRITION ON LONG-TERM CLINICAL OUTCOMES AMONG OLDER MEN: A PROSPECTIVELY OBSERVATIONAL COHORT STUDY
Authors:	Ying-Hsin Hsu(徐盈欣) Chou, M-Y Chu, C-S Liao, M-C Wang, Y-C Lin, Y-T Chen, L-K Liang, C-K
Contributors:	Kaohsiung Vet Gen Hosp, Ctr Geriatr & Gerontol Kaohsiung Vet Gen Hosp, Dept Internal Med, Div Neurol Chia Nan Univ Pharm & Sci, Natl Yang Ming Univ Taipei, Aging & Hlth Res Ctr Natl Yang Ming Univ, Sch Med, Dept Geriatr Med Kaohsiung Vet Gen Hosp, Dept Psychiat Taipei Vet Gen Hosp Taipei, Ctr Geriatr & Gerontol
Keywords:	Malnutrition cognitive decline functional decline mortality older adults
Date:	2019-11
Issue Date:	2020-07-29 13:52:08 (UTC+8)
Publisher:	SPRINGER FRANCE
Abstract:	Objectives: To determine whether nutritional status can predict 3-year cognitive and functional decline, as well as 4-year all-cause mortality in older adults.DesignProspectively longitudinal cohort study. Setting and participants: The study recruited 354 men aged 65 years and older in the veteran's retirement community. Measures: Baseline nutritional status was evaluated using the Mini-Nutritional Assessment-Short Form (MNA-SF). Cognitive function and Activities of Daily Living (ADL) function were determined by the Mini-Mental State Examination (MMSE) and the Barthel Index, respectively. Three-year cognitive and functional decline were respectively defined as a >3 point decrease in the MMSE scores and lower ADL scores than at baseline. Univariate and multivariable logistic regression analyses were conducted to identify nutritional status as a risk factor in poor outcome. The Kaplan-Meier method and Cox proportional regression models were used to estimate the effect of malnutrition risk on the mortality. Results: According to MNS-SF, the prevalence of risk of malnutrition was 53.1% (188/354). Multivariate logistic regression found risk of malnutrition significantly associated with 3-year cognitive decline (Adjusted odds ratio [OR] 2.07, 95% Confidence Interval [CI] 1.05-4.08, P =0.036) and functional decline (Adjusted OR 1.83, 95% CI 1.01-3.34, P =0.047) compared with normal nutritional status. The hazard ratio (HR) for all-cause mortality was 1.8 times higher in residents at risk of malnutrition (Adjusted HR 1.82, 95% CI 1.19-2.79, P =0.006). Conclusions: Our results provide strong evidence that risk of malnutrition can predict not only cognitive and functional decline but also risk of all-cause mortality in older men living in a veteran retirement's community. Further longitudinal studies are needed to explore the causal relationship among nutrition, clinical outcomes, and the effect of an intervention for malnutrition.
Relation:	Journal of Nutrition Health & Aging, v.23, n.9, pp.876-882
Appears in Collections:	[The Center For General Education] Periodical Articles

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