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Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study

Although dietary patterns are crucial to cognitive function, associations of dietary patterns with cognitive function have not yet been fully understood. This cross-sectional study explored dietary patterns associated with cognitive function among the older adults in underdeveloped regions, using 15...

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Autores principales: Yin, Zhaoxue, Chen, Jing, Zhang, Jian, Ren, Zeping, Dong, Kui, Kraus, Virginia B., Wang, Zhuoqun, Zhang, Mei, Zhai, Yi, Song, Pengkun, Zhao, Yanfang, Pang, Shaojie, Mi, Shengquan, Zhao, Wenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946249/
https://www.ncbi.nlm.nih.gov/pubmed/29642510
http://dx.doi.org/10.3390/nu10040464
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author Yin, Zhaoxue
Chen, Jing
Zhang, Jian
Ren, Zeping
Dong, Kui
Kraus, Virginia B.
Wang, Zhuoqun
Zhang, Mei
Zhai, Yi
Song, Pengkun
Zhao, Yanfang
Pang, Shaojie
Mi, Shengquan
Zhao, Wenhua
author_facet Yin, Zhaoxue
Chen, Jing
Zhang, Jian
Ren, Zeping
Dong, Kui
Kraus, Virginia B.
Wang, Zhuoqun
Zhang, Mei
Zhai, Yi
Song, Pengkun
Zhao, Yanfang
Pang, Shaojie
Mi, Shengquan
Zhao, Wenhua
author_sort Yin, Zhaoxue
collection PubMed
description Although dietary patterns are crucial to cognitive function, associations of dietary patterns with cognitive function have not yet been fully understood. This cross-sectional study explored dietary patterns associated with cognitive function among the older adults in underdeveloped regions, using 1504 community-dwelling older adults aged 60 and over. Diet was assessed using a food frequency questionnaire and 24-h dietary recall. Factor analysis was used to extract dietary patterns. Global cognitive function was assessed using the Mini-Mental State Examination (MMSE). Two dietary patterns, a “mushroom, vegetable, and fruits” (MVF) pattern and a “meat and soybean products” (MS) pattern, were identified. The MVF pattern, characterized by high consumption of mushrooms, vegetables, and fruits was significantly positively associated with cognitive function (p < 0.05), with an odds ratio of (95% CIs) 0.60 (0.38, 0.94) for cognitive impairment and β (95% CIs) 0.15 (0.02, 0.29) for –log (31-MMSE score). The MS pattern, characterized by high consumption of soybean products and meat, was also associated with better cognitive function, with an odds ratio of 0.47 (95% CIs 0.30, 0.74) for cognitive impairment and β (95% CIs) 0.34 (0.21, 0.47) for –log (31-MMSE score). Our results suggested that both the MVF and MS patterns were positively associated with better cognitive function among older adults in underdeveloped regions.
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spelling pubmed-59462492018-05-15 Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study Yin, Zhaoxue Chen, Jing Zhang, Jian Ren, Zeping Dong, Kui Kraus, Virginia B. Wang, Zhuoqun Zhang, Mei Zhai, Yi Song, Pengkun Zhao, Yanfang Pang, Shaojie Mi, Shengquan Zhao, Wenhua Nutrients Article Although dietary patterns are crucial to cognitive function, associations of dietary patterns with cognitive function have not yet been fully understood. This cross-sectional study explored dietary patterns associated with cognitive function among the older adults in underdeveloped regions, using 1504 community-dwelling older adults aged 60 and over. Diet was assessed using a food frequency questionnaire and 24-h dietary recall. Factor analysis was used to extract dietary patterns. Global cognitive function was assessed using the Mini-Mental State Examination (MMSE). Two dietary patterns, a “mushroom, vegetable, and fruits” (MVF) pattern and a “meat and soybean products” (MS) pattern, were identified. The MVF pattern, characterized by high consumption of mushrooms, vegetables, and fruits was significantly positively associated with cognitive function (p < 0.05), with an odds ratio of (95% CIs) 0.60 (0.38, 0.94) for cognitive impairment and β (95% CIs) 0.15 (0.02, 0.29) for –log (31-MMSE score). The MS pattern, characterized by high consumption of soybean products and meat, was also associated with better cognitive function, with an odds ratio of 0.47 (95% CIs 0.30, 0.74) for cognitive impairment and β (95% CIs) 0.34 (0.21, 0.47) for –log (31-MMSE score). Our results suggested that both the MVF and MS patterns were positively associated with better cognitive function among older adults in underdeveloped regions. MDPI 2018-04-09 /pmc/articles/PMC5946249/ /pubmed/29642510 http://dx.doi.org/10.3390/nu10040464 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yin, Zhaoxue
Chen, Jing
Zhang, Jian
Ren, Zeping
Dong, Kui
Kraus, Virginia B.
Wang, Zhuoqun
Zhang, Mei
Zhai, Yi
Song, Pengkun
Zhao, Yanfang
Pang, Shaojie
Mi, Shengquan
Zhao, Wenhua
Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study
title Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study
title_full Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study
title_fullStr Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study
title_full_unstemmed Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study
title_short Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study
title_sort dietary patterns associated with cognitive function among the older people in underdeveloped regions: finding from the ncdfac study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946249/
https://www.ncbi.nlm.nih.gov/pubmed/29642510
http://dx.doi.org/10.3390/nu10040464
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