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Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study

OBJECTIVE: To investigate the relationship between food patterns and mild cognitive impairment (MCI) among Chinese elderly to provide evidence for risk prevention and control of MCI among elderly population. METHODS: Between February 2017 to October 2018, a stratified multistage cluster sampling met...

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Autores principales: Su, Xiangni, Zhang, Jieqiong, Wang, Wenchen, Ni, Chunping, Hu, Shanbo, Shao, Pei, Li, Cuicui, Hua, Yan, Lang, Hongjuan, Wan, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357755/
https://www.ncbi.nlm.nih.gov/pubmed/32658926
http://dx.doi.org/10.1371/journal.pone.0235974
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author Su, Xiangni
Zhang, Jieqiong
Wang, Wenchen
Ni, Chunping
Hu, Shanbo
Shao, Pei
Li, Cuicui
Hua, Yan
Lang, Hongjuan
Wan, Yi
author_facet Su, Xiangni
Zhang, Jieqiong
Wang, Wenchen
Ni, Chunping
Hu, Shanbo
Shao, Pei
Li, Cuicui
Hua, Yan
Lang, Hongjuan
Wan, Yi
author_sort Su, Xiangni
collection PubMed
description OBJECTIVE: To investigate the relationship between food patterns and mild cognitive impairment (MCI) among Chinese elderly to provide evidence for risk prevention and control of MCI among elderly population. METHODS: Between February 2017 to October 2018, a stratified multistage cluster sampling method was used to select participants from 760 communities of six districts in Xi’an, China, for 49-item food frequency questionnaire survey. A total of 2311 participants aged 60 to 88 years were included in the study with 444 (19.2%) participants of MCI among Chinese community-dwelling elderly adults. Food patterns associated with risk of dementia were assessed by using a reduced rank regression (RRR) analysis, and the multivariate linear regression was used to test trends of risk factors across scores for the food pattern. RESULTS: Four dietary patterns were extracted which explained 88.65% of the total variation in food intakes. Furthermore, the food pattern 1 (FP1) accounted for 60.25% of the total variation of all responsible variables and as a target dietary pattern in the study, which was related with high intake of legumes, vegetables, fruits, milk and dairy products, nuts and a low intake of noodles and cereals (p<0.05). Multivariate linear regression analysis showed that participants with a high score for FP1 had higher direction, memory and language function and FP1 can improve the ability of cognitive function (p<0.05). CONCLUSION: The FP1 of Chinese dietary patterns was significantly correlated with higher cognitive function which can reduce the risk of MCI among Chinese elderly.
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spelling pubmed-73577552020-07-22 Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study Su, Xiangni Zhang, Jieqiong Wang, Wenchen Ni, Chunping Hu, Shanbo Shao, Pei Li, Cuicui Hua, Yan Lang, Hongjuan Wan, Yi PLoS One Research Article OBJECTIVE: To investigate the relationship between food patterns and mild cognitive impairment (MCI) among Chinese elderly to provide evidence for risk prevention and control of MCI among elderly population. METHODS: Between February 2017 to October 2018, a stratified multistage cluster sampling method was used to select participants from 760 communities of six districts in Xi’an, China, for 49-item food frequency questionnaire survey. A total of 2311 participants aged 60 to 88 years were included in the study with 444 (19.2%) participants of MCI among Chinese community-dwelling elderly adults. Food patterns associated with risk of dementia were assessed by using a reduced rank regression (RRR) analysis, and the multivariate linear regression was used to test trends of risk factors across scores for the food pattern. RESULTS: Four dietary patterns were extracted which explained 88.65% of the total variation in food intakes. Furthermore, the food pattern 1 (FP1) accounted for 60.25% of the total variation of all responsible variables and as a target dietary pattern in the study, which was related with high intake of legumes, vegetables, fruits, milk and dairy products, nuts and a low intake of noodles and cereals (p<0.05). Multivariate linear regression analysis showed that participants with a high score for FP1 had higher direction, memory and language function and FP1 can improve the ability of cognitive function (p<0.05). CONCLUSION: The FP1 of Chinese dietary patterns was significantly correlated with higher cognitive function which can reduce the risk of MCI among Chinese elderly. Public Library of Science 2020-07-13 /pmc/articles/PMC7357755/ /pubmed/32658926 http://dx.doi.org/10.1371/journal.pone.0235974 Text en © 2020 Su et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Su, Xiangni
Zhang, Jieqiong
Wang, Wenchen
Ni, Chunping
Hu, Shanbo
Shao, Pei
Li, Cuicui
Hua, Yan
Lang, Hongjuan
Wan, Yi
Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study
title Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study
title_full Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study
title_fullStr Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study
title_full_unstemmed Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study
title_short Dietary patterns and risk of mild cognitive impairment among Chinese elderly: A cross-sectional study
title_sort dietary patterns and risk of mild cognitive impairment among chinese elderly: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357755/
https://www.ncbi.nlm.nih.gov/pubmed/32658926
http://dx.doi.org/10.1371/journal.pone.0235974
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