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Cancer Causes & Control

, Volume 25, Issue 4, pp 525–532 | Cite as

Nutrient-based dietary patterns and prostate cancer risk: a case–control study from Italy

  • Valentina Rosato
  • Valeria Edefonti
  • Francesca Bravi
  • Cristina Bosetti
  • Paola Bertuccio
  • Renato Talamini
  • Luigino Dal Maso
  • Maurizio Montella
  • Monica Ferraroni
  • Carlo La VecchiaEmail author
  • Adriano Decarli
Original paper

Abstract

Purpose

The role of various foods and nutrients, and their combinations, on prostate cancer risk remains largely undefined. We addressed therefore the issue of complex dietary patterns.

Methods

We analyzed data from an Italian case–control study, including 1,294 men with prostate cancer and 1,451 hospital controls. We carried out an exploratory principal component factor analysis on 28 selected nutrients in order to identify dietary patterns. We estimated odds ratios (ORs) and corresponding confidence intervals (CIs) using logistic regression models on quintiles of factor scores, adjusting for major confounding variables.

Results

We identified five dietary patterns, labeled “Animal Products,” “Vitamins and Fiber,” “Starch-rich,” “Vegetable Unsaturated Fatty Acids (VUFA),” and “Animal Unsaturated Fatty Acids (AUFA).” We found positive associations between prostate cancer and “Animal Products” (OR for the highest vs. the lowest score quintile: 1.51, 95 % CI 1.16–1.96), “Starch-rich” (OR 1.50, 95 % CI 1.16 1.93), and “AUFA” (OR 1.32, 95 % CI 1.02–1.70) patterns. No significant associations emerged with “Vitamins and Fiber” (OR 0.93) and “VUFA” (OR 1.16) patterns.

Conclusions

Our findings suggest that a diet rich in animal products, including several types of meat and dairy products, as well as of (refined) cereals and sugars has an unfavorable role on prostate cancer.

Keywords

Case–control study Dietary patterns Factor analysis Nutrients Prostate cancer Risk factor 

Notes

Acknowledgments

This work was supported by the Italian Association for Cancer Research (AIRC Grant Numbers 10068 and 10415) and by the Italian Ministry of University, Education and Research (PRIN 2009 X8YCBN). F.B. was supported by a fellowship of the “Fondazione Umberto Veronesi.”

Conflict of interest

The opinions expressed in this manuscript are those of the authors and do not necessarily reflect the opinions of the organization that they work for. The authors declare that they have no conflict of interest.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Valentina Rosato
    • 1
  • Valeria Edefonti
    • 2
  • Francesca Bravi
    • 1
    • 2
  • Cristina Bosetti
    • 1
  • Paola Bertuccio
    • 1
  • Renato Talamini
    • 3
  • Luigino Dal Maso
    • 3
  • Maurizio Montella
    • 4
  • Monica Ferraroni
    • 2
  • Carlo La Vecchia
    • 1
    • 2
    Email author
  • Adriano Decarli
    • 2
    • 5
  1. 1.Department of EpidemiologyIRCCS-Istituto di Ricerche Farmacologiche “Mario Negri”MilanItaly
  2. 2.Department of Clinical Sciences and Community HealthUniversità degli Studi di MilanoMilanItaly
  3. 3.Unit of Epidemiology and Biostatistics, Centro di Riferimento OncologicoIRCCSAvianoItaly
  4. 4.Unit of EpidemiologyIstituto Tumori “Fondazione Pascale”NaplesItaly
  5. 5.Unity of Medical Statistics, Biometry and BioinformaticsFondazione IRCCS Istituto Nazionale TumoriMilanItaly

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