Mei Ling Li1, Ji Lin1, Jian Guo Hou2, Lei Xu3, Xin Gang Cui4, Xing Xing Xu5, Yong Wei Yu6, Xue Han7, Guo Min Wang3, Jian Ming Guo3, Dan Feng Xu4, Timothy C Thompson8, Guang Wen Cao1, Hong Wei Zhang1. 1. Department of Epidemiology, Secondary Military Medical University, Shanghai 200433, China. 2. Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China. 3. Department of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China. 4. Department of Urology, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China. 5. Department of Epidemiology, Secondary Military Medical University, Shanghai 200433, China; Center for Disease Control and Prevention of Zhabei District, Shanghai 200072, China. 6. Department of pathology, Changhai Hospital, Second Military Medical University, Shanghai 200032, China. 7. Center for Disease Control and Prevention of Yangpu District, Shanghai 200090, China. 8. Department of Genitourinary Medical Oncology-Research, University of Texas MD Anderson Cancer Center Houston, 77030, USA.
Abstract
OBJECTIVE: To study the risk environmental and psycho-social factors associated to prostate cancer (PCa) in Chinese population. METHODS: 250 PCa patients and 500 controls were enrolled in this case-control study. Information was collected and logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals (95% CI) for relationship between lifestyle, eating habits and psycho-social factors with PCa risk. RESULTS: Green vegetables and green tea were associated with a decreased risk of PCa (OR=0.39, 95% CI: 0.28-0.53; OR=0.59, 95% CI: 0.40-0.87, respectively). Family history of PCa (OR=7.16, 95% CI: 2.01-25.49), history of prostate diseases (OR=2.28, 95% CI: 1.53-3.41), alcohol consumption (OR=1.97, 95% CI: 1.33-2.90), red meat consumption (OR=1.74, 95% CI: 1.20-2.52), barbecued (OR=2.29, 95% CI: 1.11-4.73) or fried (OR=2.35, 95% CI: 1.24-4.43) foods were related with increased PCa risk. Negative psycho-social factors including occupational setbacks (OR=1.61, 95% CI: 1.00-2.59), marital separation (OR=1.94, 95% CI: 1.29-2.91), self-contained suffering (OR=2.37, 95% CI: 1.58-3.55), and high sensitivity to the personal comments (OR=1.73, 95% CI: 1.18-2.54) were related to PCa. CONCLUSION: Regular consumption of green vegetables and green tea may suggest protective effects on PCa. Alcohol consumption, red meat consumption and barbecued or fried foods were associated with PCa. Negative psycho-social factors may also play a role in the incidence of PCa in Chinese population.
OBJECTIVE: To study the risk environmental and psycho-social factors associated to prostate cancer (PCa) in Chinese population. METHODS: 250 PCa patients and 500 controls were enrolled in this case-control study. Information was collected and logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals (95% CI) for relationship between lifestyle, eating habits and psycho-social factors with PCa risk. RESULTS: Green vegetables and green tea were associated with a decreased risk of PCa (OR=0.39, 95% CI: 0.28-0.53; OR=0.59, 95% CI: 0.40-0.87, respectively). Family history of PCa (OR=7.16, 95% CI: 2.01-25.49), history of prostate diseases (OR=2.28, 95% CI: 1.53-3.41), alcohol consumption (OR=1.97, 95% CI: 1.33-2.90), red meat consumption (OR=1.74, 95% CI: 1.20-2.52), barbecued (OR=2.29, 95% CI: 1.11-4.73) or fried (OR=2.35, 95% CI: 1.24-4.43) foods were related with increased PCa risk. Negative psycho-social factors including occupational setbacks (OR=1.61, 95% CI: 1.00-2.59), marital separation (OR=1.94, 95% CI: 1.29-2.91), self-contained suffering (OR=2.37, 95% CI: 1.58-3.55), and high sensitivity to the personal comments (OR=1.73, 95% CI: 1.18-2.54) were related to PCa. CONCLUSION: Regular consumption of green vegetables and green tea may suggest protective effects on PCa. Alcohol consumption, red meat consumption and barbecued or fried foods were associated with PCa. Negative psycho-social factors may also play a role in the incidence of PCa in Chinese population.
Authors: Sandaly O S Pacheco; Fabio J Pacheco; Gimena M J Zapata; Julieta M E Garcia; Carlos A Previale; Héctor E Cura; Winston J Craig Journal: Nutrients Date: 2016-07-09 Impact factor: 5.717
Authors: Ming Liu; Xiaohong Shi; Fan Yang; Jianye Wang; Yong Xu; Dong Wei; Kuo Yang; Yaoguang Zhang; Xin Wang; Siying Liang; Xin Chen; Liang Sun; Xiaoquan Zhu; Chengxiao Zhao; Ling Zhu; Lei Tang; Chenguang Zheng; Ze Yang Journal: Int J Environ Res Public Health Date: 2016-01-27 Impact factor: 3.390