Evidence map›Paper›PMID 40589824›Full record

ArticleFrontiers in public health2025

A population-based study on safety and health of drinking

Han Zhang, Xiyu Pu, Haijun Huang, Qin Huang, Bao Yu, Weiguo Cao, Yong Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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

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

7 authors.

Han Zhang *College of Public Health, Chongqing Medical University, Chongqing, China.
Xiyu Pu *College of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Haijun HuangCollege of Chinese Materia Medica, Chongqing University of Chinese Medicine, Chongqing, China.
Qin HuangCollege of Chinese Materia Medica, Chongqing University of Chinese Medicine, Chongqing, China.
Bao YuCollege of Chinese Materia Medica, Chongqing University of Chinese Medicine, Chongqing, China.
Weiguo CaoCollege of Chinese Materia Medica, Chongqing University of Chinese Medicine, Chongqing, China.
Yong ZhangCollege of Public Health, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A herbal tea of leaves and stems of Methods: A hawk tea producing area located in Chongqing city was selected as the study setting, and residents were randomly designated. Self-designed questionnaires were administered to collect data, including basic information, the behaviors of consumption of hawk tea, and various health information. Results: Among the 4,363 respondents, 2,278 (52.2%) drank tea more 1 time per month and 957 (42.0%) were heavy drinkers. Among 2,278 Hawk tea drinkers, 62 reported various symptoms after drinking, and logistic regression showed no relationship between the symptoms reported and the characteristics of consumption (duration, frequency, and volume) ( Conclusion: With the long history of consumption in the population and the effects on health as were shown in this study, hawk tea poses no detectable health risks to consumers and shows some benefit to metabolism of lipids. It can be recognized and recommended as a safe and healthy herbal beverage for people to consume in daily life. Further interventional studies on its safety and health benefits are warranted.

Indexed as

LitseaTeas, HerbalAdultAgedChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultTeas, Herbalcross-sectional studyfood safetyhawk tealipid metabolismpopulation survey

Identifiers

PMID40589824
PMCPMC12206698

What OpenQuestion holds

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LicenceCC BY
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.