Literature DB >> 23462965

Validation of different instruments for caffeine measurement among premenopausal women in the BioCycle study.

Karen C Schliep1, Enrique F Schisterman, Sunni L Mumford, Neil J Perkins, Aijun Ye, Anna Z Pollack, Cuilin Zhang, Christina A Porucznik, James A VanDerslice, Joseph B Stanford, Jean Wactawski-Wende.   

Abstract

Effects of caffeine on women's health are inconclusive, in part because of inadequate exposure assessment. In this study we determined 1) validity of a food frequency questionnaire compared with multiple 24-hour dietary recalls (24HDRs) for measuring monthly caffeine and caffeinated beverage intakes; and 2) validity of the 24HDR compared with the prior day's diary record for measuring daily caffeinated coffee intake. BioCycle Study (2005-2007) participants, women (n = 259) aged 18-44 years from western New York State, were followed for 2 menstrual cycles. Participants completed a food frequency questionnaire at the end of each cycle, four 24HDRs per cycle, and daily diaries. Caffeine intakes reported for the food frequency questionnaires were greater than those reported for the 24HDRs (mean = 114.1 vs. 92.6mg/day, P = 0.01) but showed high correlation (r = 0.73, P < 0.001) and moderate agreement (К = 0.51, 95% confidence interval: 0.43, 0.57). Women reported less caffeinated coffee intake in their 24HDRs compared with their corresponding diary days (mean = 0.51 vs. 0.80 cups/day, P < 0.001) (1 cup = 237 mL). Although caffeine and coffee exposures were highly correlated, absolute intakes differed significantly between measurement tools. These results highlight the importance of considering potential misclassification of caffeine exposure.

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Year:  2013        PMID: 23462965      PMCID: PMC3657531          DOI: 10.1093/aje/kws283

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  23 in total

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6.  Serum caffeine and paraxanthine concentrations and menstrual cycle function: correlations with beverage intakes and associations with race, reproductive hormones, and anovulation in the BioCycle Study.

Authors:  Karen C Schliep; Enrique F Schisterman; Jean Wactawski-Wende; Neil J Perkins; Rose G Radin; Shvetha M Zarek; Emily M Mitchell; Lindsey A Sjaarda; Sunni L Mumford
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