Evidence map›Paper›PMID 40791226›Full record

ArticleFrontiers in nutrition2025

Sex-specific effects of tea consumption and salt intake on metabolic syndrome and its components among oilfield workers.

Haobiao Liu, Tianxiao Zhang, Lianxu Jia, Bowei Yang, Dianchao Zhang, Jing Han

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

6 authors.

Haobiao Liu *Department of Health Management, Ningxia Gem Flower Hospital, Yinchuan, Ningxia, China.
Tianxiao Zhang *Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Lianxu JiaDepartment of Health Management, Xi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Bowei YangDepartment of Health Management, Ningxia Gem Flower Hospital, Yinchuan, Ningxia, China.
Dianchao ZhangDepartment of Health Management, Ningxia Gem Flower Hospital, Yinchuan, Ningxia, China.
Jing HanDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The prevalence of metabolic syndrome (MetS) has been rising globally, posing a significant public health challenge. While numerous studies have examined the risk factors for MetS, limited research has explored the combined effects of tea consumption and salt intake on MetS, particularly from a sex-specific perspective. Methods: The Chinese Diabetes Society criteria were adopted to identify MetS patients, and the logistic regression analysis was employed to explore the association between tea consumption, salt intake, and MetS. The odds ratio (OR) and corresponding 95% confidence interval (CI) were calculated. Results: Among the 2,721 oilfield workers, 28.30% were diagnosed with MetS, with males displaying a higher prevalence than females across all individual components. Higher tea consumption was associated with an increased risk of MetS and specific components in males, whereas salt intake demonstrated a more selective impact, primarily affecting triglyceride levels in males and waist circumference in females. When considering the combined effects, males with high tea consumption and high salt intake exhibited the highest risk of MetS (OR = 1.83, 95% CI: 1.30 to 2.57, Conclusion: This study highlights the sex-specific impact of tea consumption and salt intake on MetS, with a significant association observed only in males. The combined exposure to high tea consumption and high salt intake may exacerbate MetS risk, emphasizing the need for tailored dietary recommendations. Further prospective studies are warranted to confirm these findings.

Indexed as

cross-sectional studymetabolic syndromeoccupational healthsalt intaketea consumption

Identifiers

PMID40791226
PMCPMC12336240

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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.