The relationship between dietary complexity and cognitive function in Guangxi, China: A cross-sectional study. 2023

Ruoyu Gou, and You Li, and Jiansheng Cai, and Qiumei Liu, and Weiyi Pang, and Tingyu Luo, and Min Xu, and Song Xiao, and Kailian He, and Tingjun Li, and Ruiying Li, and Jie Xiao, and Yinxia Lin, and Yufu Lu, and Jian Qin, and Zhiyong Zhang
Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guangxi, PR China. Email: gouruoyu@stu.glmc.edu.cn.

OBJECTIVE The composition of the human diet is complex and diverse, and the relation-ship between dietary composition and cognitive decline has not been adequately studied. Therefore, this study explored the possible association between food items and the risk of cognitive impairment. METHODS This cross-sectional study was based on an ecological longevity cohort and included 2881 participants (1086 men and 1795 women) aged ≥30 years between December 2018 and November 2019. The association between food items and the risk of cognitive impairment was explored using the Bayesian kernel machine regression (BKMR) learning model. RESULTS Finally, 2881 participants (1086 men and 1795 women) were included. In all participants, the multivariable logistic analysis showed that fresh fruit consumption was associated with cognitive function (OR=0.999, 95% CI: 0.998-0.999, p=0.021). Using the BKMR model, none of the 18 food items were significantly correlated with cognitive function among women. In men, when the other food items were fixed at the 25th, 50th, and 75th percentile values (P25, estimate=-0.239; P50, estimate=-0.210; P75, estimate=-0.158), there was a negative correlation between fresh fruit consumption and the predicted risk of cognitive function disorders. CONCLUSIONS Men displayed a negative association be-tween fresh fruit consumption and the risk of cognitive function disorders, but this was not apparent among women.

UI MeSH Term Description Entries
D008297 Male Males
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China
D003071 Cognition Intellectual or mental process whereby an organism obtains knowledge. Cognitive Function,Cognitions,Cognitive Functions,Function, Cognitive,Functions, Cognitive
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D004032 Diet Regular course of eating and drinking adopted by a person or animal. Diets
D005260 Female Females
D005638 Fruit The fleshy or dry ripened ovary of a plant, enclosing the seed or seeds. Berries,Legume Pod,Plant Aril,Plant Capsule,Aril, Plant,Arils, Plant,Berry,Capsule, Plant,Capsules, Plant,Fruits,Legume Pods,Plant Arils,Plant Capsules,Pod, Legume,Pods, Legume
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001499 Bayes Theorem A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result. Bayesian Analysis,Bayesian Estimation,Bayesian Forecast,Bayesian Method,Bayesian Prediction,Analysis, Bayesian,Bayesian Approach,Approach, Bayesian,Approachs, Bayesian,Bayesian Approachs,Estimation, Bayesian,Forecast, Bayesian,Method, Bayesian,Prediction, Bayesian,Theorem, Bayes

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