OBJECTIVE: The aim in this study was to assess the association between individual plasma carotenoid levels (alpha-carotene, beta-carotene, lycopene, beta-cryptoxanthin, lutein, zeaxanthin) and fruit and vegetable intakes recorded by a calibrated food questionnaire (FQ) and 24-h dietary recall records (24HDR) in nine different European countries with diverse populations and widely varying intakes of plant foods. DESIGN: A stratified random subsample of 3089 men and women from nine countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC), who had provided blood samples and dietary and other lifestyle information between 1992 and 2000, were included. RESULTS: beta-Cryptoxanthin was most strongly correlated with total fruits (FQ r = 0.52, 24HDR r = 0.39), lycopene with tomato and tomato products (FQ r = 0.38, 24HDR r = 0.25), and alpha-carotene with intake of root vegetables (r = 0.39) and of total carrots (r = 0.38) for FQ only. Based on diet measured by FQ and adjusting for possible confounding by body mass index (BMI), age, gender, smoking status, alcohol intake, and energy intake, the strongest predictors of individual plasma carotenoid levels were fruits (R(partial)(2) = 17.2%) for beta-cryptoxanthin, total carrots ((partial)(2) = 13.4%) and root vegetables (R(partial)(2) = 13.3%) for alpha-carotene, and tomato products (R(partial)(2) = 13.8%) for lycopene. For 24HDR, the highest R(partial)(2) was for fruits in relation to beta-cryptoxanthin (7.9%). CONCLUSIONS: Intakes of specific fruits and vegetables as measured by food questionnaires are good predictors of certain individual plasma carotenoid levels in our multicentre European study. At individual subject levels, FQ measurements of fruits, root vegetables and carrots, and tomato products are, respectively, good predictors of beta-cryptoxanthin, alpha-carotene, and lycopene in plasma.
OBJECTIVE: The aim in this study was to assess the association between individual plasma carotenoid levels (alpha-carotene, beta-carotene, lycopene, beta-cryptoxanthin, lutein, zeaxanthin) and fruit and vegetable intakes recorded by a calibrated food questionnaire (FQ) and 24-h dietary recall records (24HDR) in nine different European countries with diverse populations and widely varying intakes of plant foods. DESIGN: A stratified random subsample of 3089 men and women from nine countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC), who had provided blood samples and dietary and other lifestyle information between 1992 and 2000, were included. RESULTS:beta-Cryptoxanthin was most strongly correlated with total fruits (FQ r = 0.52, 24HDR r = 0.39), lycopene with tomato and tomato products (FQ r = 0.38, 24HDR r = 0.25), and alpha-carotene with intake of root vegetables (r = 0.39) and of total carrots (r = 0.38) for FQ only. Based on diet measured by FQ and adjusting for possible confounding by body mass index (BMI), age, gender, smoking status, alcohol intake, and energy intake, the strongest predictors of individual plasma carotenoid levels were fruits (R(partial)(2) = 17.2%) for beta-cryptoxanthin, total carrots ((partial)(2) = 13.4%) and root vegetables (R(partial)(2) = 13.3%) for alpha-carotene, and tomato products (R(partial)(2) = 13.8%) for lycopene. For 24HDR, the highest R(partial)(2) was for fruits in relation to beta-cryptoxanthin (7.9%). CONCLUSIONS: Intakes of specific fruits and vegetables as measured by food questionnaires are good predictors of certain individual plasma carotenoid levels in our multicentre European study. At individual subject levels, FQ measurements of fruits, root vegetables and carrots, and tomato products are, respectively, good predictors of beta-cryptoxanthin, alpha-carotene, and lycopene in plasma.
Authors: Joanne Kotsopoulos; Shelley S Tworoger; Hannia Campos; Fung-Lung Chung; Charles V Clevenger; Adrian A Franke; Christos S Mantzoros; Vincent Ricchiuti; Walter C Willett; Susan E Hankinson; A Heather Eliassen Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-03-23 Impact factor: 4.254
Authors: M R Forman; C B Borkowf; M M Cantwell; S Steck; A Schatzkin; P S Albert; E Lanza Journal: Eur J Clin Nutr Date: 2008-04-16 Impact factor: 4.016
Authors: Motoki Iwasaki; Adrian A Franke; Gerson S Hamada; Nelson T Miyajima; Sangita Sharma; Junko Ishihara; Ribeka Takachi; Shoichiro Tsugane; Loïc Le Marchand Journal: Eur J Cancer Prev Date: 2015-03 Impact factor: 2.497
Authors: Y Yokoyama; M Nishi; H Murayama; H Amano; Y Taniguchi; Y Nofuji; M Narita; E Matsuo; S Seino; Y Kawano; S Shinkai Journal: J Nutr Health Aging Date: 2016 Impact factor: 4.075
Authors: Gerald N DeLorenze; Lucie McCoy; Ai-Lin Tsai; Charles P Quesenberry; Terri Rice; Dora Il'yasova; Margaret Wrensch Journal: BMC Cancer Date: 2010-05-19 Impact factor: 4.430
Authors: Jonathan J Suarez; Tamara Isakova; Cheryl A M Anderson; L Ebony Boulware; Myles Wolf; Julia J Scialla Journal: Am J Prev Med Date: 2015-12 Impact factor: 5.043