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Journal of Cancer Epidemiology
Volume 2015, Article ID 179562, 10 pages
http://dx.doi.org/10.1155/2015/179562
Research Article

Traditional Dietary Pattern Increases Risk of Prostate Cancer in Argentina: Results of a Multilevel Modeling and Bias Analysis from a Case-Control Study

1Instituto de Investigaciones en Ciencias de la Salud, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Córdoba, Haya de la Torre Esquina Enfermera Gordillo, Ciudad Universitaria, 5016 Córdoba, Argentina
2Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enrique Barros s/n, Ciudad Universitaria, 5016 Córdoba, Argentina
3Laboratorio di Epidemiologia e Biostatistica, Istituto di Ricovero e Cura a Carattere Scientifico “Saverio de Bellis”, Via Turi 27, Castellana Grotte, 70013 Bari, Italy
4Cátedra de Biología Celular, Histología y Embriología, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Haya de la Torre Esquina Enfermera Gordillo, Ciudad Universitaria, 5016 Córdoba, Argentina

Received 27 July 2015; Revised 16 October 2015; Accepted 25 October 2015

Academic Editor: Yun-Ling Zheng

Copyright © 2015 Camila Niclis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. H. Gann, “Interpreting recent trends in prostate cancer incidence and mortality,” Epidemiology, vol. 8, no. 2, pp. 117–120, 1997. View at Google Scholar · View at Scopus
  2. A. Wolk, “Diet, lifestyle and risk of prostate cancer,” Acta Oncologica, vol. 44, no. 3, pp. 277–281, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. M. P. Díaz, A. R. Osella, L. R. Aballay et al., “Cancer incidence pattern in Cordoba, Argentina,” European Journal of Cancer Prevention, vol. 18, no. 4, pp. 259–266, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Ferlay, I. Soerjomataram, M. Ervik et al., “GLOBOCAN 2012 v1.0, cancer incidence and mortality worldwide,” IARC CancerBase 11, 2013, http://globocan.iarc.fr/. View at Google Scholar
  5. World Cancer Research Fund/American Institute for Cancer Research, “Prostate cancer,” in Food, Nutrition, Physical Activity, and the Prevention of Cancer. A Global Perspective, pp. 305–309, AIRC, Washington, DC, USA, 2007. View at Google Scholar
  6. C. Niclis, M. P. Díaz, A. R. Eynard, M. D. Román, and C. L. Vecchia, “Dietary habits and prostate cancer prevention: a review of observational studies by focusing on south America,” Nutrition and Cancer, vol. 64, no. 1, pp. 23–33, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. F. B. Hu, “Dietary pattern analysis: a new direction in nutritional epidemiology,” Current Opinion in Lipidology, vol. 13, no. 1, pp. 3–9, 2002. View at Publisher · View at Google Scholar
  8. V. Edefonti, G. Randi, C. La Vecchia, M. Ferraroni, and A. Decarli, “Dietary patterns and breast cancer: a review with focus on methodological issue,” Nutrition Reviews, vol. 67, no. 6, pp. 297–314, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. C. Bosire, M. J. Stampfer, A. F. Subar et al., “Index-based dietary patterns and the risk of prostate cancer in the NIH-AARP diet and health study,” American Journal of Epidemiology, vol. 177, no. 6, pp. 504–513, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. E. De Stefani, A. L. Ronco, H. Deneo-Pellegrini et al., “Dietary patterns and risk of advanced prostate cancer: a principal component analysis in Uruguay,” Cancer Causes and Control, vol. 21, no. 7, pp. 1009–1016, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. G. L. Ambrosini, L. Fritschi, N. Hubert de Clerk, D. Mackerras, and J. Leavy, “Dietary patterns identified using factor analysis and prostate cancer risk: a case control study in Western Australia,” Annals of Epidemiology, vol. 18, no. 5, pp. 364–370, 2008. View at Publisher · View at Google Scholar
  12. M. Amin, S. Jeyaganth, N. Fahmy et al., “Dietary habits and prostate cancer detection: a case-control study,” Journal of the Canadian Urological Association, vol. 2, no. 5, pp. 510–515, 2008. View at Google Scholar · View at Scopus
  13. M. Walker, K. J. Aronson, W. King et al., “Dietary patterns and risk of prostate cancer in Ontario, Canada,” International Journal of Cancer, vol. 116, no. 4, pp. 592–598, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. O. I. Bermudez and K. L. Tucker, “Trends in dietary patterns of Latin American populations,” Cadernos de Saúde Pública, vol. 19, supplement 1, pp. S87–S99, 2003. View at Publisher · View at Google Scholar
  15. A. Navarro, M. P. Díaz, S. E. Muñoz, M. J. Lantieri, and A. R. Eynard, “Characterization of meat consumption and risk of colorectal cancer in Córdoba, Argentina,” Nutrition, vol. 19, no. 1, pp. 7–10, 2003. View at Publisher · View at Google Scholar · View at Scopus
  16. FAO Statistics Division, FAO Food Balance Sheets, FAO Statistics Division, 2015, http://faostat3.fao.org/browse/FB/FBS/E.
  17. A. Navarro, A. R. Osella, V. Guerra, S. E. Muñoz, M. J. Lantieri, and A. R. Eynard, “Reproducibility and validity of a food-frequency questionnaire in assessing dietary intakes and food habits in epidemiological cancer studies in Argentina,” Journal of Experimental and Clinical Cancer Research, vol. 20, no. 3, pp. 365–370, 2001. View at Google Scholar · View at Scopus
  18. A. Navarro, P. E. Cristaldo, M. P. Díaz, and A. R. Eynard, “Food photography atlas: its suitability for quantifying food and nutrient consumption in nutritional epidemiological research in Córdoba, Argentina,” Revista de la Facultad de Ciencias Médicas, vol. 57, no. 1, pp. 67–74, 2000. View at Google Scholar · View at Scopus
  19. IPAQ Group, International Physical Activity Questionnaire, IPAQ Group, 2012, http://www.ipaq.ki.se.
  20. S. A. Pou, M. P. Díaz, and A. R. Osella, “Applying multilevel model to the relationship of dietary patterns and colorectal cancer: an ongoing case-control study in Córdoba, Argentina,” European Journal of Nutrition, vol. 51, no. 6, pp. 755–764, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. D. G. Kleibaum, L. L. Kupper, and K. E. Muller, Applied Regression Analysis and Other Multivariate Methods, Duxbury, Pacific Grove, Calif, USA, 1988.
  22. S. Rabe-Hesketh and A. Skrondal, Multilevel and Longitudinal Modeling Using Stata, Stata Press, College Station, Tex, USA, 2nd edition, 2008. View at MathSciNet
  23. J. Merlo, B. Chaix, H. Ohlsson et al., “A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena,” Journal of Epidemiology and Community Health, vol. 60, no. 4, pp. 290–297, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. N. Orsini, R. Bellocco, M. Bottai, A. Wolk, and S. Greenland, “A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies,” The Stata Journal, vol. 8, no. 1, pp. 29–48, 2008. View at Google Scholar · View at Scopus
  25. A. W. Hsing, J. Deng, I. A. Sesterhenn et al., “Body size and prostate cancer: a population-based case-control study in China,” Cancer Epidemiology Biomarkers and Prevention, vol. 9, no. 12, pp. 1335–1341, 2000. View at Google Scholar · View at Scopus
  26. StataCorp, Stata Statistical Software: Version 12.1, StataCorp, College Station, Tex, USA, 2011.
  27. E. De Stefani, H. Deneo-Pellegrini, P. Boffetta et al., “Dietary patterns and risk of cancer: a factor analysis in Uruguay,” International Journal of Cancer, vol. 124, no. 6, pp. 1391–1397, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. M. Tseng, R. A. Breslow, R. F. DeVellis, and R. G. Ziegler, “Dietary patterns and prostate cancer risk in the national health and nutrition examination survey epidemiological follow-up study cohort,” Cancer Epidemiology Biomarkers & Prevention, vol. 13, no. 1, pp. 71–77, 2004. View at Publisher · View at Google Scholar · View at Scopus
  29. D. C. Muller, G. Severi, L. Baglietto et al., “Dietary patterns and prostate cancer risk,” Cancer Epidemiology Biomarkers and Prevention, vol. 18, no. 11, pp. 3126–3129, 2009. View at Publisher · View at Google Scholar · View at Scopus
  30. M. Jackson, S. Walker, C. Simpson, N. McFarlane-Anderson, and F. Bennett, “Are food patterns associated with prostate cancer in Jamaican men: a preliminary report,” Infectious Agents and Cancer, vol. 4, supplement 1, article S5, 2009. View at Publisher · View at Google Scholar · View at Scopus
  31. K. Wu, F. B. Hu, W. C. Willett, and E. Giovannucci, “Dietary patterns and risk of prostate cancer in U.S. men,” Cancer Epidemiology Biomarkers & Prevention, vol. 15, no. 1, pp. 167–171, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. T. Sugimura, “Nutrition and dietary carcinogens,” Carcinogenesis, vol. 21, no. 3, pp. 387–395, 2000. View at Publisher · View at Google Scholar · View at Scopus
  33. H. Deneo-Pellegrini, E. De Stefani, A. Ronco, and M. Mendilaharsu, “Foods, nutrients and prostate cancer: a case-control study in Uruguay,” British Journal of Cancer, vol. 80, no. 3-4, pp. 591–597, 1999. View at Publisher · View at Google Scholar · View at Scopus
  34. D. Aune, E. De Stefani, A. Ronco et al., “Meat consumption and cancer risk: a case-control study in Uruguay,” Asian Pacific Journal of Cancer Prevention, vol. 10, no. 3, pp. 429–436, 2009. View at Google Scholar · View at Scopus
  35. E. De Stefani, D. Aune, P. Boffetta et al., “Salted meat consumption and the risk of cancer: a multisite case-control study in Uruguay,” Asian Pacific Journal of Cancer Prevention, vol. 10, no. 5, pp. 853–857, 2009. View at Google Scholar · View at Scopus
  36. W. G. Gathirua-Mwangi and J. Zhang, “Dietary factors and risk for advanced prostate cancer,” European Journal of Cancer Prevention, vol. 23, no. 2, pp. 96–109, 2014. View at Publisher · View at Google Scholar · View at Scopus
  37. L. N. Kolonel, “Fat, meat, and prostate cancer,” Epidemiologic Reviews, vol. 23, no. 1, pp. 72–81, 2001. View at Publisher · View at Google Scholar · View at Scopus
  38. D. Mandair, R. E. Rossi, M. Pericleous, T. Whyand, and M. E. Caplin, “Prostate cancer and the influence of dietary factors and supplements: a systematic review,” Nutrition & Metabolism, vol. 11, no. 1, article 30, 2014. View at Publisher · View at Google Scholar · View at Scopus
  39. R. W.-L. Ma and K. Chapman, “A systematic review of the effect of diet in prostate cancer prevention and treatment,” Journal of Human Nutrition and Dietetics, vol. 22, no. 3, pp. 187–199, 2009. View at Publisher · View at Google Scholar · View at Scopus
  40. D. Aune, E. De Stefani, A. L. Ronco et al., “Egg consumption and the risk of cancer: a multisite case-control study in Uruguay,” Asian Pacific Journal of Cancer Prevention, vol. 10, no. 5, pp. 869–876, 2009. View at Google Scholar · View at Scopus
  41. H. Deneo-Pellegrini, A. L. Ronco, E. De Stefani et al., “Food groups and risk of prostate cancer: a case-control study in Uruguay,” Cancer Causes and Control, vol. 23, no. 7, pp. 1031–1038, 2012. View at Publisher · View at Google Scholar · View at Scopus
  42. A. S. Whittemore, L. N. Kolonel, A. H. Wu et al., “Prostate cancer in relation to diet, physical activity, and body size in blacks, whites, and Asians in the United States and Canada,” Journal of the National Cancer Institute, vol. 87, no. 9, pp. 652–661, 1995. View at Publisher · View at Google Scholar · View at Scopus
  43. S. B. Biddinger and D. S. Ludwig, “The insulin-like growth factor axis: a potential link between glycemic index and cancer,” The American Journal of Clinical Nutrition, vol. 82, no. 2, pp. 277–278, 2005. View at Google Scholar · View at Scopus
  44. I. Drake, E. Sonestedt, B. Gullberg et al., “Dietary intakes of carbohydrates in relation to prostate cancer risk: a prospective study in the Malmö Diet and Cancer cohort,” American Journal of Clinical Nutrition, vol. 96, no. 6, pp. 1409–1418, 2012. View at Publisher · View at Google Scholar · View at Scopus
  45. J. Hardin, I. Cheng, and J. S. Witte, “Impact of consumption of vegetable, fruit, grain, and high glycemic index foods on aggressive prostate cancer risk,” Nutrition and Cancer, vol. 63, no. 6, pp. 860–872, 2011. View at Publisher · View at Google Scholar · View at Scopus
  46. J. M. Shikany, A. P. Flood, C. M. Kitahara et al., “Dietary carbohydrate, glycemic index, glycemic load, and risk of prostate cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) cohort,” Cancer Causes and Control, vol. 22, no. 7, pp. 995–1002, 2011. View at Publisher · View at Google Scholar · View at Scopus
  47. K. Nimptsch, S. Kenfield, M. K. Jensen et al., “Dietary glycemic index, glycemic load, insulin index, fiber and whole-grain intake in relation to risk of prostate cancer,” Cancer Causes and Control, vol. 22, no. 1, pp. 51–61, 2011. View at Publisher · View at Google Scholar · View at Scopus
  48. K. A. Steinmetz and J. D. Potter, “Vegetables, fruit, and cancer. II. Mechanisms,” Cancer Causes & Control, vol. 2, no. 6, pp. 427–442, 1991. View at Publisher · View at Google Scholar · View at Scopus
  49. D. Aune, D. A. Navarro Rosenblatt, D. S. M. Chan et al., “Dairy products, calcium, and prostate cancer risk: a systematic review and meta-analysis of cohort studies,” The American Journal of Clinical Nutrition, vol. 101, no. 1, pp. 87–117, 2015. View at Publisher · View at Google Scholar · View at Scopus
  50. L. V. Stewart and N. L. Weigel, “Vitamin D and prostate cancer,” Experimental Biology and Medicine, vol. 229, no. 4, pp. 277–284, 2004. View at Google Scholar · View at Scopus
  51. U. Risérus, A. Smedman, S. Basu, and B. Vessby, “Metabolic effects of conjugated linoleic acid in humans: the Swedish experience,” The American Journal of Clinical Nutrition, vol. 79, no. 6, pp. 1146S–1148S, 2004. View at Google Scholar · View at Scopus
  52. U. Risérus, B. Vessby, J. Ärnlöv, and S. Basu, “Effects of cis-9, trans-11 conjugated linoleic acid supplementation on insulin sensitivity, lipid peroxidation, and proinflammatory markers in obese men,” The American Journal of Clinical Nutrition, vol. 80, no. 2, pp. 279–283, 2004. View at Google Scholar · View at Scopus
  53. H. Grönberg, “Prostate cancer epidemiology,” The Lancet, vol. 361, no. 9360, pp. 859–864, 2003. View at Publisher · View at Google Scholar · View at Scopus
  54. G. Kac, R. Sichieri, and D. Petrucci Gigante, “Padrões alimentares: análise de componentes principais,” in Epidemiologia Nutricional, pp. 213–226, Fiocruz/Atheneu, Rio de Janeiro, Brazil, 2007. View at Google Scholar
  55. N. E. Breslow and N. E. Day, Statistical Methods in Cancer Research, Vol. 2: The Design and Analysis of Cohort Studies, IARC Scientific Publications No. 82, IARC, Lyon, France, 1987.
  56. A. Skrondal and S. Rabe-Hesketh, Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models, Chapman & Hall, Boca Raton, Fla, USA, 2004.
  57. J. Merlo, “Multilevel analytical approaches in social epidemiology: measures of health variation compared with traditional measures of association,” Journal of Epidemiology and Community Health, vol. 57, no. 8, pp. 550–552, 2003. View at Publisher · View at Google Scholar · View at Scopus