J Clin Neurol.  2019 Jul;15(3):292-300. 10.3988/jcn.2019.15.3.292.

Association of Nutritional Status with Cognitive Stage in the Elderly Korean Population: The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease

  • 1Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea.
  • 2Department of Biomedical Engineering, Hanyang University, Seoul, Korea.
  • 3Department of Neurology, Konyang University College of Medicine, Daejeon, Korea.
  • 4Department of Neurology, Dong-A Medical Center, Dong-A University College of Medicine, Busan, Korea.
  • 5Department of Neurology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Korea.
  • 6Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • 7Department of Neurology, Eulji University College of Medicine, Daejeon, Korea.
  • 8Department of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
  • 9Department of Neurology, Pusan National University School of Medicine, Busan, Korea.
  • 10Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea.
  • 11Department of Pharmacology and Medicinal Toxicology Research Center, Inha University School of Medicine, Incheon, Korea.
  • 12Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Korea. mlunoilu@hanmail.net
  • 13Department of Neurology, Inha University School of Medicine, Incheon, Korea. seonghye@inha.ac.kr


Epidemiological studies have suggested the presence of strong correlations among diet, lifestyle, and dementia onset. However, these studies have unfortunately had major limitations due to their inability to fully control the various potential confounders affecting the nutritional status. The purpose of the current study was to determine the nutritional status of participants in the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE) and to identify clinical risk factors for being at risk of malnutrition or being malnourished.
Baseline data from 212 participants [119 cognitively unimpaired (CU), 56 with mild cognitive impairment (MCI), and 37 with dementia] included in the KBASE database were analyzed. All participants underwent a comprehensive cognitive test and MRI at baseline. The presence of malnutrition at baseline was measured by the Mini Nutritional Assessment score. We examined the cross-sectional relationships of clinical findings with nutritional status using multiple logistic regression applied to variables for which p<0.2 in the univariate analysis. Differences in cortical thickness according to the nutritional status were also investigated.
After adjustment for demographic, nutritional, and neuropsychological factors, participants with dementia had a significantly higher odds ratio (OR) for being at risk of malnutrition or being malnourished than CU participants [OR=5.98, 95% CI=1.20-32.97] whereas participants with MCI did not (OR=0.62, 95% CI=0.20-1.83). Cortical thinning in the at-risk/malnutrition group was observed in the left temporal area.
Dementia was found to be an independent predictor for the risk of malnutrition compared with CU participants. Our findings further suggest that cortical thinning in left temporal regions is related to the nutritional status.


nutritional status; dementia; cerebral cortex

MeSH Terms

Alzheimer Disease*
Cerebral Cortex
Early Diagnosis*
Epidemiologic Studies
Life Style
Logistic Models
Magnetic Resonance Imaging
Mild Cognitive Impairment
Nutrition Assessment
Nutritional Status*
Odds Ratio
Risk Factors
Temporal Lobe
Full Text Links
  • JCN
export Copy
  • Twitter
  • Facebook
Similar articles
Copyright © 2022 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr