Plasma carotenoids as biomarkers of intake of fruits and vegetables: individual-level correlations in the European Prospective Investigation into Cancer and ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-09-14

AUTHORS

W K Al-Delaimy, P Ferrari, N Slimani, V Pala, I Johansson, S Nilsson, I Mattisson, E Wirfalt, R Galasso, D Palli, P Vineis, R Tumino, M Dorronsoro, G Pera, M C Ocké, H B Bueno-de-Mesquita, K Overvad, MaD Chirlaque, A Trichopoulou, A Naska, A Tjønneland, A Olsen, E Lund, E H R Alsaker, A Barricarte, E Kesse, M-C Boutron-Ruault, F Clavel-Chapelon, T J Key, E Spencer, S Bingham, A A Welch, M-J Sanchez-Perez, G Nagel, J Linseisen, J R Quirós, P H M Peeters, C H van Gils, H Boeing, A L van Kappel, J-P Steghens, E Riboli

ABSTRACT

Objective:The aim in this study was to assess the association between individual plasma carotenoid levels (α-carotene, β-carotene, lycopene, β-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:β-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 α-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 (Rpartial2=17.2%) for β-cryptoxanthin, total carrots (Rpartial2=13.4%) and root vegetables (Rpartial2=13.3%) for α-carotene, and tomato products (Rpartial2=13.8%) for lycopene. For 24HDR, the highest Rpartial2 was for fruits in relation to β-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 β-cryptoxanthin, α-carotene, and lycopene in plasma. More... »

PAGES

1387-1396

Journal

TITLE

European Journal of Clinical Nutrition

ISSUE

12

VOLUME

59

Author Affiliations

  • Cancer Prevention and Control, University of California at San Diego, La Jolla, USA
  • International Agency for Research on Cancer (IARC-WHO), Lyon, France
  • Epidemiology Unit, National Cancer Institute, Milan, Italy
  • Department of Nutritional Research, Umeå University, Umeå, Sweden
  • Department of Medicine, Surgery & Orthopaedics, Lund University, Malmö, Sweden
  • Ospedale Oncologico Regionale, Rionero, Italy
  • Molecular & Nutritional Epidemiology Unit, CSPO, Scientific Institute of Tuscany, Florence, Italy
  • Cancer Epidemiology Unit, University of Turin and CPO-Piemonte, Turin, Italy
  • Cancer Registry, Azienda Ospedaliera ‘Civile—M.P.Arezzo’, Ragusa, Italy
  • Public Health Office of Guipuzkoa, Health Council of the Basque Country, San Sebastian, Spain
  • Department of Epidemiology, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
  • National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands
  • Department of Clinical Epidemiology, and Department of Epidemiology and Social Medicine, Aalborg Hospital and Aarhus University Hospital, University of Aarhus, Denmark
  • Department of Epidemiology, Council for Health and Social Affairs of Murcia, Spain
  • University of Athens Medical School, Athens, Greece
  • Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
  • Institute of Community Medicine, University of Tromsø, Norway
  • Institute of Public Health of Navarra, Pamplona, Spain
  • INSERM, U XR 521, Institut Gustave Roussy, Villejuif, France
  • INSERM, U 557, ISTNA, CNAM, Paris, France
  • Cancer Research UK, Radcliffe Infirmary, University of Oxford, UK
  • MRC Dunn Human Nutrition Unit, Cambridge, UK
  • Strangeways Research Laboratory, University of Cambridge, UK
  • Andalusian School of Public Health, Granada, Spain
  • Division of Clinical Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
  • Regional Office of Public Health of Asturias, Oviedo, Spain
  • Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
  • German Institute of Human Nutrition, Potsdam-Rehbrücke, Germany
  • Cryo Bio Sytem, Paris, France
  • Biochemistry Laboratory, Hôpital Edouard Herriot, Lyon, France
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602252

    DOI

    http://dx.doi.org/10.1038/sj.ejcn.1602252

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1049296692

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/16160702


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