Evidence map›Paper›PMID 40660329›Full record

ArticleAlzheimer's research & therapy2025

Combined effects of physical activity, cognitive activity, and dietary patterns on cognitive impairment in older adults with consideration of APOE genotype: a cohort study.

Wen-Fang Zhong, Xiao-Meng Wang, Huan Chen, Wei-Qi Song, Jian Gao, Pei-Liang Chen, Qiao-Qiao Shen, Fang-Fei You, Chuan Li, Yue-Bin Lv and 3 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Wen-Fang Zhong *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Xiao-Meng Wang *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Huan Chen *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Wei-Qi SongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Jian GaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Pei-Liang ChenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Qiao-Qiao ShenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Fang-Fei YouDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Chuan LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Yue-Bin LvChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China.
Zhi-Hao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Xiao-Ming ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #7 Panjiayuan Nanli, Chaoyang, Beijing, 100021, China. shixm@chinacdc.cn.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510515, China. maochen9@smu.edu.cn.

Funding

Construction of High-level University of Guangdong G623330580 and G621331128Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme 2019the China Postdoctoral Science Foundation 2023M741552the Guangdong Basic and Applied Basic Research Foundation 2023A1515110727the Postdoctoral Fellowship Program of CPSF GZC20231054
6 · The paper itself

Abstract

backgroundThis study aims to evaluate the combination effects of physical activity (PA), cognitive activity (CA), and dietary patterns impacts cognitive impairment among older adults, and whether these associations differ by apolipoprotein E (APOE) genotype.

methodsA total of 18,909 adults aged 65 years or older at baseline were enrolled from 1998 to 2014 years. PA and CA was assessed using scores that reflected participation in various activities, and a total activity (TA) score was calculated as the sum of PA and CA scores. Diet quality was assessed with the SHE-index. Participants were categorized into lifestyle groups based on combinations of activity levels and SHE-index. The APOE genotype was categorized as APOEε4 carriers versus non-carriers. Cognitive function was evaluated using the Mini-Mental State Examination at baseline and follow-up. Adjusted Cox proportional hazards models was used to estimate the association and interaction between lifestyle and APOE genotype on the risk of cognitive impairment.

resultsDuring a mean follow-up time of 5.27 ± 3.67 years, 5713 participants developed cognitive impairment. Participants with higher levels of TA, PA, or CA, combined with a healthy diet, consistently exhibited the lowest risk of cognitive impairment, with hazard ratios (HR) of 0.65 [95% confidence intervals (CIs): 0.60-0.71] for TA, 0.72 (95% CI: 0.66-0.78) for PA, and 0.73 (95% CI: 0.67-0.79) for CA. This protective effect remained consistent across APOEε4 genotype groups, with HRs ranging from 0.54 to 0.67 in carriers and 0.63 to 0.69 in non-carriers for higher TA, PA, or CA combined with a healthy diet. In addition, participants engaging in high PA, high CA, and a healthy diet simultaneously showed the greatest protection against cognitive impairment, with HRs of 0.46 (95% CI: 0.28-0.76) in APOEε4 carriers and 0.47 (95% CI: 0.37-0.58) in non-carriers.

conclusionsThe greatest decrease in cognitive impairment was observed among older Chinese adults adhering to both high activity levels and healthy diet, The protective effect was even stronger when high physical activity, high cognitive activity, and a healthy diet were maintained simultaneously, and this trend was consistent regardless of APOEε4 status.

Indexed as

Apolipoproteins ECognitionCognitive DysfunctionDietExerciseAgedAged, 80 and overApolipoprotein E4Cohort StudiesFemaleGenotypeHumansLife StyleMaleApolipoprotein E4Apolipoproteins ECognitive activityCohort studyHealthy eating indexOlder Chinese adultPhysical activity

Identifiers

PMID40660329
PMCPMC12257734

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.