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Body mass index and the risk of prostate cancer

DOI: http://dx.doi.org/10.2147/OAMS.S34645

Keywords: body mass index, prostate cancer, J-shaped curve, Cox proportional hazards model, Kaplan-Meier model, National Health Information Survey

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Abstract:

ody mass index and the risk of prostate cancer Original Research (1009) Total Article Views Authors: McGee DL, Crespo CJ Published Date September 2012 Volume 2012:2 Pages 53 - 60 DOI: http://dx.doi.org/10.2147/OAMS.S34645 Received: 05 June 2012 Accepted: 10 August 2012 Published: 01 October 2012 Daniel Lee McGee,1 Carlos J Crespo2 1Department of Mathematical Sciences, University of Puerto Rico, Mayaguez, Puerto Rico, 2School of Community Health, Portland State University, Portland, OR, USA Background: This article presents cohort studies that use data from the National Health Information Survey from 1986 to 1994 and compares the effectiveness of Cox proportional hazards models that assume a linear relationship between body mass index (BMI) and the risk of prostate cancer with models that assume a J-shaped relationship. Methods and results: Our study found that for black males over 40 years of age, neither a linear nor a J-shaped relationship yielded a statistically significant model. With white males over 40 years, assuming a linear relationship did not yield a statistically significant model (P = 0.582). When we assume a J-shaped relationship, the optimal change point where the risk of prostate cancer death is minimized occurs when the BMI is 25.5. Among white males over 40 years with BMI < 25.5, an inverse relationship was found (P = 0.009). Among white males over 40 years with BMI > 25.5, a direct relationship was found (P = 0.017). Conclusion: With this data set, we found that for white males over 40 years, Cox proportional hazards models that assume a J-shaped relationship between BMI and prostate cancer death provide a much better fit than models assuming a linear relationship.

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