Table of Contents
Advances in Epidemiology
Volume 2015 (2015), Article ID 132961, 7 pages
http://dx.doi.org/10.1155/2015/132961
Research Article

Association between Obesity and Cancer: An Analysis Using the Competing Risk Regression Approach

Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA

Received 4 October 2014; Revised 20 December 2014; Accepted 22 December 2014

Academic Editor: Peter N. Lee

Copyright © 2015 Milan Bimali and Jianghua He. 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. A. B. de Gonzalez, P. Hartge, J. R. Cerhan et al., “Body-mass index and mortality among 1.46 million white adults,” The New England Journal of Medicine, vol. 363, no. 23, pp. 2211–2219, 2010. View at Publisher · View at Google Scholar · View at PubMed
  2. K. M. Flegal, B. K. Kit, H. Orpana, and B. I. Graubard, “Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis,” The Journal of the American Medical Association, vol. 309, no. 1, pp. 71–82, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  3. S. Gupta, S. Hassan, V. R. Bhatt, H. Abdul Sater, and A. Dilawari, “Lung cancer trends: smoking, obesity, and sex assessed in the Staten Island University's lung cancer patients,” International Journal of General Medicine, vol. 7, pp. 333–337, 2014. View at Google Scholar
  4. R. Haque, S. K. van den Eeden, L. P. Wallner et al., “Association of body mass index and prostate cancer mortality,” Obesity Research & Clinical Practice, vol. 8, no. 4, pp. e374–e381, 2014. View at Publisher · View at Google Scholar · View at PubMed
  5. S. Wu, J. Liu, X. Wang, M. Li, Y. Gan, and Y. Tang, “Association of obesity and overweight with overall survival in colorectal cancer patients: a meta-analysis of 29 studies,” Cancer Causes & Control, vol. 25, no. 11, pp. 1489–1502, 2014. View at Publisher · View at Google Scholar · View at PubMed
  6. C. M. Dallal, L. A. Brinton, D. C. Bauer et al., “Obesity-related hormones and endometrial cancer among postmenopausal women: a nested case-control study within the B∼FIT cohort,” Endocrine-Related Cancer, vol. 20, no. 1, pp. 151–160, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  7. D. C. Farrow, N. S. Weiss, J. L. Lyon, and J. R. Daling, “Association of obesity and ovarian cancer in a case-control study,” The American Journal of Epidemiology, vol. 129, no. 6, pp. 1300–1304, 1989. View at Google Scholar · View at Scopus
  8. C. Præstegaard, S. K. Kjær, J. Christensen, A. Tjønneland, J. Halkjær, and A. Jensen, “Obesity and risks for malignant melanoma and non-melanoma skin cancer: results from a large Danish prospective cohort study,” Journal of Investigative Dermatology, 2014. View at Publisher · View at Google Scholar · View at PubMed
  9. E. Salazar-Martínez, E. C. Lazcano-Ponce, G. G. Lira-Lira et al., “Case-control study of diabetes, obesity, physical activity and risk of endometrial cancer among Mexican women,” Cancer Causes and Control, vol. 11, no. 8, pp. 707–711, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. F. Cantiello, A. Cicione, R. Autorino et al., “Visceral obesity predicts adverse pathological features in urothelial bladder cancer patients undergoing radical cystectomy: a retrospective cohort study,” World Journal of Urology, vol. 32, no. 2, pp. 559–564, 2014. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  11. D. J. Haakinson, S. G. Leeds, A. C. Dueck et al., “The impact of obesity on breast cancer: a retrospective review,” Annals of Surgical Oncology, vol. 19, no. 9, pp. 3012–3018, 2012. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  12. M. Lunn and D. McNeil, “Applying Cox regression to competing risks,” Biometrics, vol. 51, no. 2, pp. 524–532, 1995. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Wolbers, M. T. Koller, J. C. M. Witteman, and E. W. Steyerberg, “Prognostic models with competing risks: methods and application to coronary risk prediction,” Epidemiology, vol. 20, no. 4, pp. 555–561, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  14. M. Al-Kalbani and I. A. Burney, “The epidemics of obesity and cancer: no simple remedy,” Sultan Qaboos University Medical Sciences Journal, vol. 14, no. 3, pp. e294–e296, 2014. View at Google Scholar
  15. R. B. Hines, C. Shanmugam, J. W. Waterbor et al., “Effect of comorbidity and body mass index on the survival of African-American and Caucasian patients with colon cancer,” Cancer, vol. 115, no. 24, pp. 5798–5806, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  16. B. Lau, S. R. Cole, and S. J. Gange, “Competing risk regression models for epidemiologic data,” American Journal of Epidemiology, vol. 170, no. 2, pp. 244–256, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  17. H. T. Kim, “Cumulative incidence in competing risks data and competing risks regression analysis,” Clinical Cancer Research, vol. 13, no. 2, pp. 559–565, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  18. J. P. Fine and R. J. Gray, “A proportional hazards model for the subdistribution of a competing risk,” Journal of the American Statistical Association, vol. 94, no. 446, pp. 496–509, 1999. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. J. Beyersmann, M. Dettenkofer, H. Bertz, and M. Schumacher, “A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards,” Statistics in Medicine, vol. 26, no. 30, pp. 5360–5369, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at MathSciNet · View at Scopus
  20. H. Putter, M. Fiocco, and R. B. Geskus, “Tutorial in biostatistics: competing risks and multi-state models,” Statistics in Medicine, vol. 26, no. 11, pp. 2389–2430, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at MathSciNet · View at Scopus
  21. G. L. Grunkemeier, R. P. Anderson, D. C. Miller, and A. Starr, “Time-related analysis of nonfatal heart valve complications: cumulative incidence (actual) versus Kaplan-Meier (actuarial),” Circulation, vol. 96, no. 9, supplement, pp. II-70–II-75, 1997. View at Google Scholar
  22. G. L. Grunkemeier, R. Jin, M. J. C. Eijkemans, and J. J. M. Takkenberg, “Actual and actuarial probabilities of competing risks: apples and lemons,” Annals of Thoracic Surgery, vol. 83, no. 5, pp. 1586–1592, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  23. M. Pintilie, “Analysing and interpreting competing risk data,” Statistics in Medicine, vol. 26, no. 6, pp. 1360–1367, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at MathSciNet · View at Scopus
  24. S. Marashi-Pour, S. Morrell, C. Cooke-Yarborough, M. Arcorace, and D. Baker, “Competing risk analysis of mortality from invasive cutaneous melanoma in New South Wales: a population-based study, 1988–2007,” Australian and New Zealand Journal of Public Health, vol. 36, no. 5, pp. 441–445, 2012. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  25. M. Salesi, Z. Rostami, A. R. Foroushani et al., “Chronic graft loss and death in patients with post-transplant malignancy in living kidney transplantation: a competing risk analysis,” Nephro-Urology Monthly, vol. 6, no. 2, Article ID e14302, 2014. View at Publisher · View at Google Scholar · View at PubMed
  26. C. Forsblom, V. Harjutsalo, L. M. Thorn et al., “Competing-risk analysis of ESRD and death among patients with type 1 diabetes and macroalbuminuria,” Journal of the American Society of Nephrology, vol. 22, no. 3, pp. 537–544, 2011. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  27. J. Klein and M. Moeschberger, Survival Analysis: Techniques for Censored and Truncated Data, Springer, 2nd edition, 2005.
  28. B. Haller, G. Schmidt, and K. Ulm, “Applying competing risks regression models: an overview,” Lifetime Data Analysis, vol. 19, no. 1, pp. 33–58, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at MathSciNet · View at Scopus
  29. H. Anton-Culver, A. Lee-Feldstein, and T. H. Taylor, “The association of bladder cancer risk with ethnicity, gender, and smoking,” Annals of Epidemiology, vol. 3, no. 4, pp. 429–433, 1993. View at Publisher · View at Google Scholar · View at Scopus
  30. M. Tazhibi, Z. F. Dehkordi, and S. Babazadeh, “Trends in breast cancer incidence rates by age and tumor characteristics of women in the city of Isfahan for the period 2001–2010: an application of joinpoint analysis,” Journal of Research in Medical Sciences, vol. 19, no. 4, pp. 319–325, 2014. View at Google Scholar · View at Scopus
  31. S. F. Shariat, J. P. Sfakianos, M. J. Droller, P. I. Karakiewicz, S. Meryn, and B. H. Bochner, “The effect of age and gender on bladder cancer: a critical review of the literature,” BJU International, vol. 105, no. 3, pp. 300–308, 2010. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  32. E. Giovannucci, “An updated review of the epidemiological evidence that cigarette smoking increases risk of colorectal cancer,” Cancer Epidemiology Biomarkers and Prevention, vol. 10, no. 7, pp. 725–731, 2001. View at Google Scholar · View at Scopus
  33. A. K. Sood, “Cigarette smoking and cervical cancer: meta-analysis and critical review of recent studies,” American Journal of Preventive Medicine, vol. 7, no. 4, pp. 208–213, 1991. View at Google Scholar · View at Scopus
  34. S. Payne, “‘Smoke like a man, die like a man’?: a review of the relationship between gender, sex and lung cancer,” Social Science & Medicine, vol. 53, no. 8, pp. 1067–1080, 2001. View at Publisher · View at Google Scholar · View at Scopus
  35. S. P. Nguyen, S. Bent, Y.-H. Chen, and J. P. Terdiman, “Gender as a risk factor for advanced neoplasia and colorectal cancer: a systematic review and meta-analysis,” Clinical Gastroenterology and Hepatology, vol. 7, no. 6, pp. 676.e3–681.e3, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  36. L. Scrucca, A. Santucci, and F. Aversa, “Competing risk analysis using R: an easy guide for clinicians,” Bone Marrow Transplantation, vol. 40, no. 4, pp. 381–387, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  37. A. Allignol, M. Schumacher, C. Wanner, C. Drechsler, and J. Beyersmann, “Understanding competing risks: a simulation point of view,” BMC Medical Research Methodology, vol. 11, article 86, 2011. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  38. J. P. Klein and P. K. Andersen, “Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function,” Biometrics. Journal of the International Biometric Society, vol. 61, no. 1, pp. 223–229, 2005. View at Publisher · View at Google Scholar · View at PubMed · View at MathSciNet · View at Scopus
  39. M. Bhattacharjee, S. K. Dhar, and S. Subramanian, Recent Advances in Biostatistics: False Discovery Rates, Survival Analysis, and Related Topics, World Scientific, 2011. View at Publisher · View at Google Scholar