Evidence map›Paper›PMID 38026433›Full record

ArticleFrontiers in public health2023

Does frequent tea consumption provide any benefit to cognitive function in older adults? Evidence from a national survey from China in 2018.

Chen Wei, Jiao Zhang, Na Chen, Zhou Xu, Huang Tang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Chen WeiSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Jiao ZhangSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Na ChenSchool of Elderly Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Zhou XuSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Huang TangNanjing Hospital of Traditional Chinese Medicine, Nanjing, China.
Nanjing University of Chinese Medicine · CNNanjing Traditional Chinese Medicine Hospital · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This present study aims to investigate the effect of tea consumption on cognitive function and examine possible psychosocial mechanisms in older adults. Participants and methods: The data of this study came from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey(CLHLS), and a total of 11,910 valid samples were included. We used ordinary least squares (OLS) to explore whether frequent tea consumption had significant effect on the cognitive function of older people. The problem of endogeneity was addressed by using a propensity score matching (PSM). Then we further explored the psychosocial mechanisms of the effect using a stepwise regression approach. Results: Frequent tea consumption produced a positive effect on Mini-Mental State Examination (MMSE) score (coefficient = 0.340, Conclusion: Frequent tea consumption was found to have beneficial effects on cognitive function, especially in older people with green tea intake. Sleep quality and levels of depression partially mediated the association between frequent tea consumption and cognitive function among Chinese older adults.

Indexed as

Cognitive DysfunctionTeaAgedCognitionHealth StatusHumansLongitudinal StudiesTeacognitive functionmediating effectolder adultspropensity score matchingtea consumption

Identifiers

PMID38026433
PMCPMC10655233
OpenAlexW4388303682

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.