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A comparison of self-reported analgesic use and detection of urinary ibuprofen and acetaminophen metabolites by means of metabonomics (The INTERMAP Study)

Loo, Ruey Leng, Chan, Queenie, Brown, Ian J., Robertson, Claire E., Stamler, Jeremiah, Nicholson, Jeremy K., Holmes, Elaine, Elliott, Paul (2012) A comparison of self-reported analgesic use and detection of urinary ibuprofen and acetaminophen metabolites by means of metabonomics (The INTERMAP Study). American Journal of Epidemiology, 175 (4). pp. 348-358. ISSN 0002-9262. (doi:10.1093/aje/kwr292) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:36449)

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http://dx.doi.org/10.1093/aje/kwr292

Abstract

Information on dietary supplements, medications, and other xenobiotics in epidemiologic surveys is usually obtained from questionnaires and is subject to recall and reporting biases. The authors used metabolite data obtained from hydrogen-1 (or proton) nuclear magnetic resonance ( 1H NMR) analysis of human urine specimens from the International Study of Macro-/Micro-Nutrients and Blood Pressure (INTERMAP Study) to validate self-reported analgesic use. Metabolic profiling of two 24-hour urine specimens per individual was carried out for 4,630 participants aged 40-59 years from 17 population samples in Japan, China, the United Kingdom, and the United States (data collection, 1996-1999). 1H NMR-detected acetaminophen and ibuprofen use was low (�4%) among East Asian population samples and higher (>16%) in Western population samples. In a comparison of self-reported acetaminophen and ibuprofen use with 1H NMR-detected acetaminophen and ibuprofen metabolites among 496 participants from Chicago, Illinois, and Belfast, Northern Ireland, the overall rate of concordance was 81%-84%; the rate of underreporting was 15%-17%; and the rate of underdetection was approximately 1%. Comparison of self-reported unspecified analgesic use with 1H NMR-detected acetaminophen and ibuprofen metabolites among 2,660 Western INTERMAP participants revealed similar levels of concordance and underreporting. Screening for urinary metabolites of acetaminophen and ibuprofen improved the accuracy of exposure information. This approach has the potential to reduce recall bias and other biases in epidemiologic studies for a range of substances, including pharmaceuticals, dietary supplements, and foods. © 2012 The Author.

Item Type: Article
DOI/Identification number: 10.1093/aje/kwr292
Uncontrolled keywords: analgesics, non-narcotic, anti-inflammatory agents, non-steroidal, epidemiologic studies, metabolomics, pharmacoepidemiology, questionnaires, reproducibility of results, drug metabolite, ibuprofen, paracetamol, accuracy assessment, blood, detection method, epidemiology, hydrogen, metabolite, nuclear magnetic resonance, population structure, pressure effect, questionnaire survey, steroid, accuracy, adult, analgesia, China, drug determination, drug exposure, drug metabolism, drug urine level, drug use, female, human, Ireland, Japan, major clinical study, male, metabolic parameters, pharmacoepidemiology, proton nuclear magnetic resonance, review, self report, United Kingdom, United States, urinalysis, Acetaminophen, Adult, Analgesics, Non-Narcotic, Bias (Epidemiology), Epidemiologic Research Design, Female, Humans, Ibuprofen, Magnetic Resonance Spectroscopy, Male, Metabolomics, Middle Aged, Multivariate Analysis, Pharmacoepidemiology, Self Report, China, Japan, United Kingdom, United States
Subjects: R Medicine
Divisions: Divisions > Division of Natural Sciences > Medway School of Pharmacy
Depositing User: Rueyleng Loo
Date Deposited: 10 Dec 2013 09:15 UTC
Last Modified: 16 Nov 2021 10:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/36449 (The current URI for this page, for reference purposes)

University of Kent Author Information

Loo, Ruey Leng.

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