Coffee and tea intake in relation to subjective cognitive decline: A cross‐sectional study

Our findings support the potential beneficial roles of coffee and tea for the maintenance of subjective cognitive function among Chinese schoolteachers. Further large-scale prospective and interventional studies are warranted to confirm these findings.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70860_101461
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coffee and tea intake in relation to subjective cognitive decline: A cross‐sectional study

Gulisiya Hailili, Tingting Shen, Dong Zhao, Minqing Yan et al.
Alzheimer s & Dementia
Coffee research and impacts
article

Coffee and tea intake in relation to subjective cognitive decline: A cross‐sectional study

Gulisiya Hailili, Tingting Shen, Dong Zhao, Minqing Yan, Zifan Lin, Liyan Huang, Yiying Gong, Ronghua Zhang, Mengjie He, Yuqi Yang, Jinghong Lin, Changzheng Yuan
article en

Abstract

Our findings support the potential beneficial roles of coffee and tea for the maintenance of subjective cognitive function among Chinese schoolteachers. Further large-scale prospective and interventional studies are warranted to confirm these findings.

Alzheimer s & DementiaVol. 21(S6)
Harvard University (US), Zhejiang Center for Disease Control and Prevention (CN), Zhejiang University (CN)
Zero hunger
Openalex Percentile: Top 31%
Coffee research and impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.