Relation of 24-hour urinary caffeine and caffeine metabolite excretions with self-reported consumption of coffee and other caffeinated beverages in the general population

Background Caffeine intake is generally estimated by self-reported consumption, but it remains unclear how well self-report associates with metabolite urinary excretion. We investigated the associations of self-reported consumption of caffeinated drinks with urinary excretion of caffeine and its major metabolites in an adult population. Methods We used data from the population-based Swiss Kidney Project on Genes in Hypertension (SKIPOGH) study. Consumption of caffeinated coffee, decaffeinated coffee and other caffeinated beverages was assessed by self-administered questionnaire. Quantification of caffeine, paraxanthine, theobromine and theophylline was performed by ultra-high performance liquid chromatography tandem mass spectrometry in 24-h urine. Association of reported consumption of caffeinated drinks with urinary caffeine derived metabolites was determined by quantile regression. We then explored the association between urinary metabolite excretion and dichotomized weekly consumption frequency of caffeinated coffee, with Receiver Operator Characteristic (ROC) analysis. Results In the present analysis, we included 598 individuals (52% women, mean age =46 ± 17 years). Self-reported caffeinated coffee intake was positively associated with 24-h urinary excretions of paraxanthine, theophylline and caffeine (p < 0.001), whereas reported intakes of decaffeinated coffee and other caffeinated beverages showed no association. In ROC analysis, optimal discrimination between individuals consuming less than one caffeinated coffee/week, vs. at least one coffee, was obtained for 24-h urinary paraxanthine (Area Under Curve (AUC) = 0.868, 95% Confidence Interval (CI) [0.830;0.906]), with slightly lower performance for theophylline and caffeine, whereas theobromine did not allow any discrimination. Conclusion Our results suggest that reported consumption of caffeinated coffee is positively associated with 24-h urinary excretion of caffeine, paraxanthine, and theophylline, and may be used as a marker of caffeine intake for epidemiological studies. Electronic supplementary material The online version of this article (doi:10.1186/s12986-016-0144-4) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12986-016-0144-4
PID pmid:27891166
PID https://www.doi.org/10.7892/boris.9275510.1186/s12986-016-0144-4
PID https://www.doi.org/10.7892/boris.92755
PID pmc:PMC5112879
PID urn:urn:nbn:ch:serval-BIB_F638EC8299DC8
URL http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_F638EC8299DC8
URL https://open.library.emory.edu/publications/emory:rtf49/
URL https://archive-ouverte.unige.ch/unige:100407
URL http://boris.unibe.ch/92755/
URL http://dx.doi.org/10.7892/boris.92755
URL https://pubmed.ncbi.nlm.nih.gov/27891166/
URL https://link.springer.com/article/10.1186/s12986-016-0144-4
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URL https://paperity.org/p/78451995/relation-of-24-hour-urinary-caffeine-and-caffeine-metabolite-excretions-with-self
URL https://boris.unibe.ch/92755/
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URL http://dx.doi.org/10.1186/s12986-016-0144-4
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URL https://jhu.pure.elsevier.com/en/publications/relation-of-24-hour-urinary-caffeine-and-caffeine-metabolite-excr
URL http://europepmc.org/articles/PMC5112879
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URL https://doi.org/10.1186/s12986-016-0144-4
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URL https://core.ac.uk/display/81055887
URL https://dx.doi.org/10.1186/s12986-016-0144-4
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Author Daniel Ackermann, 0000-0003-0550-354X
Author Bruno Vogt, 0000-0002-1548-6387
Author Chin Eap, 0000-0002-5439-0230
Author Menno Pruijm, 0000-0003-1027-1851
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Collected From Europe PubMed Central; PubMed Central; ORCID; Archive ouverte UNIGE; UnpayWall; Datacite; SNSF P3 Database; Serveur académique lausannois; Crossref; Microsoft Academic Graph; Bern Open Repository and Information System (BORIS); CORE (RIOXX-UK Aggregator)
Hosted By Europe PubMed Central; SpringerOpen; Archive ouverte UNIGE; Nutrition &amp; Metabolism; Serveur académique lausannois; Bern Open Repository and Information System (BORIS)
Journal Nutrition & Metabolism, 13, null
Publication Date 2016-01-01
Publisher Springer Science and Business Media LLC
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Country Switzerland
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Resource Type Other literature type; Article; UNKNOWN
keyword ddc.ddc:613
keyword keywords.Endocrinology, Diabetes and Metabolism
keyword ddc.ddc:616
keyword 610 Medicine and amp; health
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::97d5395f7665f18df594415b1cffb4a7
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Last Updated 24 December 2020, 22:00 (CET)
Created 24 December 2020, 22:00 (CET)