ArticleNutrients2021
Diet-Cognition Associations Differ in Mild Cognitive Impairment Subtypes.
Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Fish consumption and cognitive function in aging: a systematic review of observational studies.GeroScience · 2026Pooled it
- Fish consumption, cognitive impairment and dementia: an updated dose-response meta-analysis of observational studies.Aging clinical and experimental research · 2024Pooled it
- Association Between the Jiangnan Diet and Mild Cognitive Impairment Among the Elderly.Nutrients · 2025Article
- Vegetable and Fruit Consumption and Psychological Distress: Findings from Australian National Health Survey Data, 2011-2018.International journal of environmental research and public health · 2025Article
- Relationship of Composite Dietary Antioxidant Index vs. Alcohol Consumption with Mild Cognitive Impairment in the Elderly.Nutrients · 2025Article
- Article
- Sex Disparity in the Nutrition-Related Determinants of Mild Cognitive Impairment: A Case-Control Study.Nutrients · 2025Article
- Uncovering a New Concept of Foodnality in Diet Recommendations for Chinese Aging Populations Based on Systematic and Bibliometric Review.Foods (Basel, Switzerland) · 2024Review
- Effectiveness of dairy products to protect against cognitive decline in later life: a narrative review.Frontiers in nutrition · 2024Review
- Dietary consumption of beef and red meat: a scoping review and evidence map on cognitive outcomes across the lifespan.Public health nutrition · 2023Article
- Association between Dietary Patterns and Cognitive Function among Qatari Adults: A Cross-Sectional Analysis of the Qatar Biobank Study.Nutrients · 2023Article
- Article
- A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China.Nutrients · 2022Article
- Associations between sedentary behaviour patterns and depression among people aged 60 and older in Hebei Province of China.BMC public health · 2022Article
- Dietary Patterns Are Associated With Multi-Dimensional Cognitive Functions Among Adults Aged 55 and Older in China.Frontiers in nutrition · 2022Article
- The role of dietary patterns and erythrocyte membrane fatty acid patterns on mild cognitive impairment.Frontiers in nutrition · 2022Article
- The Joint Association Between Multiple Dietary Patterns and Depressive Symptoms in Adults Aged 55 and Over in Northern China.Frontiers in nutrition · 2022Article
- Nutrition, Diet and Healthy Aging.Nutrients · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Cognitive function is not generally associated with diet, and there is debate over that association. Moreover, little is known about such associations with the specific cognitive domains and subtypes of mild cognitive impairment (MCI). We analyzed data of 4309 Chinese adults aged 55 and over from the Community-based Cohort Study on Nervous System Diseases from 2018-2019. Dietary habits were assessed at inclusion using a validated semi-quantitative food frequency questionnaire. Cognitive function of the participants was measured by using the Montreal Cognitive Assessment. Analyses were performed using multiple logistic regression and quantile regression with adjustment for socio-demographic, lifestyle, and health-related factors. Compared with normal cognition participants, those with a worse cognition state were characterized as being an older age and lower economic level. After adjustment for potential factors, participants with higher consumption of rice, legumes, fresh vegetables, fresh fruit, pork, poultry, fish, and nuts tended to have higher scores of global cognitive function and domains, and to have lower odds of MCI, while those with higher consumption levels of wheat and eggs had worse cognition, compared with the corresponding bottom consumption level of each food. Participants with a medium consumption level of beef or mutton had 57% (OR: 1.57, 95%CI: 1.07-2.32) higher odds of aMCI-SD, whereas they had 50% (OR: 0.50, 95%CI: 0.34-0.73) lower odds of naMCI-MD. Similarly, the highest consumption level of dairy was positively associated with the odds of aMCI-SD (OR:1.51, 95%CI:1.00-2.29), but inversely linked to the odds of naMCI-SD (OR: 0.60, 95%CI: 0.38-0.93) and naMCI-MD (OR: 0.49, 95%CI: 0.29-0.82). Most diet global cognitive benefits were observed to be associated with the preexisting higher consumption of rice, legumes, fresh vegetables, fresh fruit, meat, and nuts. In addition, the heterogeneity of associations between the consumption of certain foods and MCI subtypes was observed among Chinese adults aged over 55 years. These cross-sectional observations require validation in prospective studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.