Evidence map›Paper›PMID 41271904›Full record

ArticleScientific reports2025

The relationship between green tea consumption and happiness.

Megumi Shibata, Toshiyuki Ojima, Jun Aida

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Megumi ShibataDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, 1-20-1, Handayama, Chuo-Ku, Hamamatsu City, Shizuoka, 431-3192, Japan. yoshisatoyui8888@gmail.com.
Toshiyuki OjimaDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, 1-20-1, Handayama, Chuo-Ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
Jun AidaDepartment of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although it has been suggested that green tea or its components may reduce psychological stress, the relationship between green tea intake and well-being has not been investigated in large-scale studies. In addition, no previous studies have simultaneously reported the relationships between green tea intake, social capital, and happiness. This study aimed to demonstrate the association between tea consumption and well-being after adjusting for its relationship with social network size. We analyzed cross-sectional data from the Japan Gerontological Evaluation Study conducted between October and December 2016. Green tea consumption questionnaires were mailed to 34,567 functionally independent community-dwelling residents aged 65 and older in 39 municipalities. Participants rated their well-being on a scale of 1-10, with 10 indicating the happiest and 1 indicating the least happy. The scores were treated as continuous variables and used as dependent variables in the multivariate linear regression analyses. When the number of friends one meets per month was 1-9, the proportion of those with a happiness level of 9-10 accounted for 10-20% of the total number of friends. The percentage of older adults who rated their happiness as 9-10 and had a social network size of ≥ 10 was 46.2%. When social network size (indicated by number of friends) was controlled for, along with tea consumption, gender, age, education, and income, there was a statistically significant correlation, indicating that an increase in number of friends was associated with increased happiness. Higher green tea intake was associated with higher happiness scores: Compared to non-tea drinkers, those who drank 4 or more cups of tea per day had a 0.23 point increase in happiness (95% CI 0.02-0.45, p = 0.032). This study found that even after adjusting for social network size and other confounding factors, higher green tea consumption was associated with increased happiness.

Indexed as

HappinessTeaAgedAged, 80 and overCross-Sectional StudiesFemaleHumansJapanMaleSurveys and QuestionnairesTeaFriendsGreen tea consumptionHappiness levelSocial network

Identifiers

PMID41271904
PMCPMC12638302

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.