Evidence map›Paper›PMID 38703227›Full record

ArticleEuropean journal of nutrition2024

Self-reported caffeine consumption miss-matched consumption measured by plasma levels of caffeine and its metabolites: results from two population-based studies.

Nermine Laaboub, Setareh Ranjbar, Marie-Pierre F Strippoli, Pedro Marques-Vidal, Sandrine Estoppey-Younes, Belen Ponte, Menno Pruijm, Bruno Vogt, Nicolas Ansermot, Séverine Crettol and 5 more

Abstract read
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Coffee with Academic Reflections.Arquivos brasileiros de cardiologia · 2026
    Article
  3. Article
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

15 authors.

Nermine LaaboubUnit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Setareh RanjbarPsychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Marie-Pierre F StrippoliPsychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Pedro Marques-VidalDepartment of Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Sandrine Estoppey-YounesCentre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Belen PonteDivision of Nephrology, Geneva University Hospitals, Geneva, Switzerland.
Menno PruijmService of Nephrology and Hypertension, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland.
Bruno VogtDepartment of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Nicolas AnsermotUnit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Séverine CrettolUnit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Frederik VandenbergheUnit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Peter VollenweiderDepartment of Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Martin PreisigPsychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland.
Murielle BochudCentre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Chin B EapUnit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland. chin.eap@chuv.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IMPORTANCE AND

objectiveSelf-reported caffeine consumption has been widely used in research while it may be subject to bias. We sought to investigate the associations between self-reported caffeine consumption and plasma levels of caffeine and its two main metabolites (paraxanthine and theophylline) in the community.

methodsData from two population-based studies (SKIPOGH1 and 2 (N = 1246) and CoLaus|PsyCoLaus (N = 4461)) conducted in Switzerland were used. Self-reported caffeine consumption was assessed using questionnaires. Plasma levels of caffeine and its metabolites were quantified by ultra-high performance liquid chromatography coupled to a tandem quadrupole mass spectrometer.

resultsIn both studies, mean log plasma levels of caffeine and its two metabolites were over 6.48 (plasma levels = 652 ng/ml) when no caffeine consumption was reported. Subsequently, nonlinear associations between log plasma levels and self-reported caffeine consumption were observed in SKIPOGH, with a change of the slope at 3-5 cups of espresso per day in SKIPOGH1 but not SKIPOGH2. In CoLaus|PsyCoLaus, increased daily consumption of caffeinated beverages was associated with increased log plasma levels with a change of the slope at 3 cups. In both studies, declared caffeine consumption higher than 3-5 cups per day was not associated with higher plasma levels of caffeine and its metabolites.

conclusionSelf-reports of no or low caffeine consumption and consumption of more than 3-5 cups of coffee should be interpreted with caution, with possible under- or over-estimation. Quantifying plasma levels of caffeine and its metabolites may contribute to a better estimation of caffeine intake.

Indexed as

CaffeineSelf ReportTheophyllineAdultAgedChromatography, High Pressure LiquidCoffeeFemaleHumansMaleMiddle AgedSurveys and QuestionnairesSwitzerland1,7-dimethylxanthineCaffeineCoffeeTheophyllineCaffeineParaxanthinePlasma levelsQuestionnaireSelf-reportingTheophylline

Identifiers

PMID38703227
PMCPMC11329688

What OpenQuestion holds

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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.