Evidence map›Paper›PMID 41385012›Full record

ArticleMetabolic brain disease2025

The effects of coffee and caffeine consumption on plasma and salivary biomarkers associated with mood in a healthy population.

Susan Hall, John W Yuen, Kyle Hatton-Jones, Shailendra Anoopkumar-Dukie, Devinder Arora, Ben Desbrow, Gary D Grant

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolic brain disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Susan HallSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast Campus, Queensland, QLD, 4222, Australia. s.hall@griffith.edu.au.
John W YuenFaculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon 852, Hong Kong, China.
Kyle Hatton-JonesSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast Campus, Queensland, QLD, 4222, Australia.
Shailendra Anoopkumar-DukieSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast Campus, Queensland, QLD, 4222, Australia.
Devinder AroraSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast Campus, Queensland, QLD, 4222, Australia.
Ben DesbrowSchool of Allied Health, Sport and Social Work, Griffith University, Queensland, 4222, Australia.
Gary D GrantSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast Campus, Queensland, QLD, 4222, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee is one of the most frequently consumed beverages worldwide and contains the bioactive constituent caffeine, which is the most commonly consumed psychostimulant. There have been mixed reports of coffee/caffeine's effects on mood disorders including anxiety and depression. The aim of this study was to evaluate correlations between coffee/caffeine consumption and salivary and plasma biomarkers associated with anxiety and depression in a healthy population. A cross-sectional study design was employed with participants completing a coffee and caffeine consumption questionnaire and providing either morning (n = 55) and/or afternoon (n = 54) saliva samples and/or a plasma sample (n = 39). Biological samples were examined for numerous biomarkers including amylase, prolactin, cortisol (all saliva), caffeine, TBX B

Indexed as

AffectCaffeineCoffeeSalivaAdultBiomarkersCross-Sectional StudiesFemaleHumansHydrocortisoneKynurenineMaleMiddle AgedTryptophanYoung AdultBiomarkersCaffeineCoffeeHydrocortisoneKynurenineTryptophanCaffeineCoffee consumptionCortisolKynurenine metabolitesMood disordersSalivary biomarkers

Identifiers

PMID41385012

What Socratic holds

Textmetadata
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 Socratic graph.