Literature DB >> 18469267

Validation of soy protein estimates from a food-frequency questionnaire with repeated 24-h recalls and isoflavonoid excretion in overnight urine in a Western population with a wide range of soy intakes.

Karen Jaceldo-Siegl1, Gary E Fraser, Jacqueline Chan, Adrian Franke, Joan Sabaté.   

Abstract

BACKGROUND: Evidence of the benefits of soy on cancer risk in Western populations is inconsistent, in part because of the low intake of soy in these groups.
OBJECTIVE: We assessed the validity of soy protein estimates from food-frequency questionnaires (FFQs) in a sample of Adventist Health Study-2 participants with a wide range of soy intakes.
DESIGN: We obtained dietary intake data from 100 men and women (43 blacks and 57 nonblacks). Soy protein estimates from FFQs were compared against repeated 24-h recalls and urinary excretion of daidzein, genistein, total isoflavonoids (TIFLs), and equol (measured by HPLC/photodiode array/mass spectrometry) as reference criteria. We calculated Pearson and Spearman correlation coefficients (with 95% CIs) for FFQ-24-h recall, 24 h-recall-urinary excretion, and FFQ-urinary excretion pairs.
RESULTS: Among soy users, mean (+/- SD) soy protein values were 12.12 +/- 10.80 g/d from 24-h recalls and 9.43 +/- 7.83 g/d from FFQs. The unattenuated correlation (95% CI) between soy protein estimates from 24-h recalls and FFQs was 0.57 (0.32, 0.75). Correlation coefficients between soy protein intake from 24-h recalls and urinary isoflavonoids were 0.72 (0.43, 0.96) for daidzein, 0.67 (0.43, 0.91) for genistein, and 0.72 (0.47, 0.98) for TIFLs. Between FFQs and urinary excretion, these were 0.50 (0.32, 0.65), 0.48 (0.29, 0.61), and 0.50 (0.32, 0.64) for daidzein, genistein, and TIFLs, respectively.
CONCLUSIONS: Soy protein estimates from questionnaire were significantly correlated with soy protein from 24-h recalls and urinary excretion of daidzein, genistein, and TIFLs. The Adventist Health Study-2 FFQ is a valid instrument for assessing soy protein in a population with a wide range of soy intakes.

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Year:  2008        PMID: 18469267      PMCID: PMC3564955          DOI: 10.1093/ajcn/87.5.1422

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  37 in total

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2.  Variations in isoflavone levels in soy foods and soy protein isolates and issues related to isoflavone databases and food labeling.

Authors:  Kenneth D R Setchell; Sidney J Cole
Journal:  J Agric Food Chem       Date:  2003-07-02       Impact factor: 5.279

3.  Intake of dietary phytoestrogens by Dutch women.

Authors:  Lital Keinan Boker; Yvonne T Van der Schouw; Miriam J J De Kleijn; Paul F Jacques; Diederick E Grobbee; Petra H M Peeters
Journal:  J Nutr       Date:  2002-06       Impact factor: 4.798

4.  Validity and reproducibility of a self-administered food-frequency questionnaire to assess isoflavone intake in a japanese population in comparison with dietary records and blood and urine isoflavones.

Authors:  S Yamamoto; T Sobue; S Sasaki; M Kobayashi; Y Arai; M Uehara; H Adlercreutz; S Watanabe; T Takahashi; Y Iitoi; Y Iwase; M Akabane; S Tsugane
Journal:  J Nutr       Date:  2001-10       Impact factor: 4.798

5.  Overnight urinary isoflavone excretion in a population of women living in the United States, and its relationship to isoflavone intake.

Authors:  Charlotte Atkinson; Heather E Skor; E Dawn Fitzgibbons; Delia Scholes; Chu Chen; Kristiina Wähälä; Stephen M Schwartz; Johanna W Lampe
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6.  Urinary excretion of phytoestrogens and risk of breast cancer among Chinese women in Shanghai.

Authors:  Qi Dai; Adrian A Franke; Fan Jin; Xiao-Ou Shu; James R Hebert; Laurie J Custer; Jiarong Cheng; Yu-Tang Gao; Wei Zheng
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7.  Chemopreventive effects of soy protein and purified soy isoflavones on DMBA-induced mammary tumors in female Sprague-Dawley rats.

Authors:  A I Constantinou; D Lantvit; M Hawthorne; X Xu; R B van Breemen; J M Pezzuto
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8.  Soy, isoflavones, and breast cancer risk in Japan.

Authors:  Seiichiro Yamamoto; Tomotaka Sobue; Minatsu Kobayashi; Satoshi Sasaki; Shoichiro Tsugane
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9.  Liquid chromatographic-photodiode array mass spectrometric analysis of dietary phytoestrogens from human urine and blood.

Authors:  Adrian A Franke; Laurie J Custer; Lynne R Wilkens; Loïc Le Le Marchand; Abraham M Y Nomura; Marc T Goodman; Laurence N Kolonel
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2002-09-25       Impact factor: 3.205

10.  Population-based case-control study of soyfood intake and breast cancer risk in Shanghai.

Authors:  Q Dai; X O Shu; F Jin; J D Potter; L H Kushi; J Teas; Y T Gao; W Zheng
Journal:  Br J Cancer       Date:  2001-08-03       Impact factor: 7.640

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  30 in total

1.  Soy milk and dairy consumption is independently associated with ultrasound attenuation of the heel bone among postmenopausal women: the Adventist Health Study-2.

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Journal:  Nutr Res       Date:  2011-10       Impact factor: 3.315

2.  Regression calibration when foods (measured with error) are the variables of interest: markedly non-Gaussian data with many zeroes.

Authors:  Gary E Fraser; Daniel O Stram
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3.  Soy isoflavone consumption and age at pubarche in adolescent males.

Authors:  Gina Segovia-Siapco; Peter Pribis; Keiji Oda; Joan Sabaté
Journal:  Eur J Nutr       Date:  2017-07-15       Impact factor: 5.614

4.  Serum 25-hydroxyvitamin D status of vegetarians, partial vegetarians, and nonvegetarians: the Adventist Health Study-2.

Authors:  Jacqueline Chan; Karen Jaceldo-Siegl; Gary E Fraser
Journal:  Am J Clin Nutr       Date:  2009-04-01       Impact factor: 7.045

5.  Urinary phytoestrogens and cancer, cardiovascular, and all-cause mortality in the continuous National Health and Nutrition Examination Survey.

Authors:  Michael K Reger; Terrell W Zollinger; Ziyue Liu; Josette Jones; Jianjun Zhang
Journal:  Eur J Nutr       Date:  2015-05-06       Impact factor: 5.614

Review 6.  Role of phytoestrogens in prevention and management of type 2 diabetes.

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Journal:  World J Diabetes       Date:  2015-03-15

Review 7.  Phytoestrogenic isoflavonoids in epidemiologic and clinical research.

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Journal:  Drug Test Anal       Date:  2009-01       Impact factor: 3.345

8.  Plasma, Urine, and Adipose Tissue Biomarkers of Dietary Intake Differ Between Vegetarian and Non-Vegetarian Diet Groups in the Adventist Health Study-2.

Authors:  Fayth L Miles; Jan Irene C Lloren; Ella Haddad; Karen Jaceldo-Siegl; Synnove Knutsen; Joan Sabate; Gary E Fraser
Journal:  J Nutr       Date:  2019-04-01       Impact factor: 4.798

9.  Reliability of serum and urinary isoflavone estimates.

Authors:  Gary E Fraser; Adrian A Franke; Karen Jaceldo-Siegl; Hannelore Bennett
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10.  Urine phyto-oestrogen metabolites are not significantly associated with risk of type 2 diabetes: the Singapore Chinese health study.

Authors:  Mohammad Talaei; Bee L Lee; Choon N Ong; Rob M van Dam; Jian M Yuan; Woon P Koh; An Pan
Journal:  Br J Nutr       Date:  2016-03-07       Impact factor: 3.718

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