Association of Nutrient Intakes with Cognitive Function in Koreans Aged 50 years and Older

Abstract

This study attempted to investigate whether nutrient and food intake were related with mild cognitive impairment (MCI) in adults and elderly over 50 years of age in Korea. Questionnaires and anthropometric measurements were conducted on general aspects of the research, and food frequency questionnaires (FFQs) were conducted to determine nutritional status. The relative theta power (RTP) through electroencephalography (EEG) measurements, neurocognitive function test (NFT; CNS Vital Signs), and cognitive function was measured. The MCI group consumed significantly lower C18:4, eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) among the N-3 fatty acids, N-6 fatty acids dihomo-γ-linolenic acid (DGLA), mono unsaturated fatty acids, C22:1, biotin, vitamin D in the nutrients, and sweet potato (12.35g/day, p = 0.015), mackerel (3.38g/day, p = 0.017), mandarin orange (p = 0.016), persimmon (p = 0.013) and apple (p = 0.023) in the food than the normal group did. And the MCI group consumed salted fish (3.14g/day, p = 0.041) and ice-cream (5.01g/day, p = 0.050) at a significantly higher level. Delayed verbal score, delayed visual score, and verbal memory score of the NFT and RTP values of the prefrontal cortex among the EEGs were significantly lower in the MCI group compared to those in the normal group. From this study, we found that nutrient and food intake are closely related to MCI in Korean aged 50 years and older, but more human studies are needed to verify these findings.

Diversity and limitations of electroencephalogram and event‐related potential applications in nursing research: A scoping review

“…A total of 45 studies were identified that met the inclusion criteria for this scoping review. Twenty-five studies utilized EEG frequency waves as outcome measures (e.g., Delta, Theta, Alpha, Beta, Gamma), while 19 studies employed ERP as outcome measures (e.g., P3, P2, N1, N2, P1, N170), and one study (Wong et al, 2018) (Benoit et al, 2021;Bi et al, 2022;Cai et al, 2022;Campbell-Yeo et al, 2022;Cao et al, 2015;Cao et al, 2017; Francisco et al, 2019;Gong et al, 2022;Hwang et al, 2019;Hwang et al, 2022;Kim et al, 2018;Kim et al, 2022;Lees et al, 2020;Peters et al, 2014;Shepherd et al, 1999;Shiroshita et al, 2021;Sung et al, 2022;Välimäki et al, 2021;Yang et al, 2012;Yang et al, 2016;Zhao et al, 2021).…”

“…The studies included in this review involved 14 countries, mainly including 12 studies from China, six from Korea, five from the United States, five from Australia, and four from Japan. There were 26 studies conducted in cooperation with researchers in nursing and other disciplines, especially with psychology and neuroscience researchers (Benoit et al, 2021; Bi et al, 2022; Cai et al, 2022; Campbell‐Yeo et al, 2022; Cao et al, 2015; Cao et al, 2017; Cao, Si, Li, & Guo, 2022; Cao, Si, Li, Guo, & Yue, 2022; Cui et al, 2021; Dai et al, 2016; Fitriana et al, 2021; Francisco et al, 2019; Gong et al, 2022; Hwang et al, 2019; Hwang et al, 2022; Kim et al, 2018; Kim et al, 2022; Lees et al, 2020; Peters et al, 2014; Shepherd et al, 1999; Shiroshita et al, 2021; Sung et al, 2022; Välimäki et al, 2021; Yang et al, 2012; Yang et al, 2016; Zhao et al, 2021).…”

“…Studies also used EEG (Fitriana et al, 2021; Grusendorf, 1994; Jin et al, 2022) or ERP (Bi et al, 2022; Cao et al, 2015; Cao, Si, Li, & Guo, 2022; Cao, Si, Li, Guo, & Yue, 2022; Dai et al, 2016; Peters et al, 2014) to explore the difference in brain activity between different severity patients or compared with normal subjects. One study used EEG to investigate whether nutrient and food intake were related with mild cognitive impairment in adults and elderly over 50 years of age (Kim et al, 2018). Schizophrenia ( N = 5), social anxiety disorder ( N = 5), and cognitive disorder ( N = 4) patients received the most attention from nursing researchers.…”

Proceedings of the 2021 ISNR Annual Conference (Virtual): Keynote and Plenary Presentations

“…But, the recently developed iSyncBrain platform provides an efficient automated process targeted to various clinical circumstances, even for telemedicine. The platform on the cloud comprised of AI-guided EEG denoising process (Kang et al, 2018) trained through 1800 normative EEG data collected during last 7 years, sex classified healthy normative qEEG database, standardized qEEG feature extraction process from adaptive mixture ICA (AMICA) dipole source information to sLORETA-based ROI connectivity, normative library and group statistics for researchers (Kim et al, 2018;D. Lee et al, 2018;Min et al, 2020), and a series of qEEG discriminant biomarker has been implemented, such as early screening of Alzheimer dementia, prognosis of coma patients, and brain age for development disorder (Han et al, 2021;Shim & Shin, 2020;Thapa et al, 2020).…”

Beta wave enhancement neurofeedback improves cognitive functions in patients with mild cognitive impairment

“…The CNSVS is a computerized neurocognitive test battery that is known to be sensitive for distinguishing MCI. [40,41] It comprises 7 tests: verbal and visual memory, finger tapping, symbol digit coding, Stroop, shifting attention, and continuous performance testing. [42,43] Responses refer to specific domains such as composite memory, processing speed, psychomotor speed, executive function, reaction time, complex attention, and cognitive flexibility.…”