Fangcheng Yuan1, Lin Deng2, Xiangqing Sun1, Zhengyi Chen3, Nitin Shivappa4,5, Ashutosh K Sheth1, Gregory S Cooper2, James R Hebert4,5, Li Li6,7. 1. Department of Family Medicine, University of Virginia School of Medicine, McKim Hall Rm 3156, Charlottesville, VA, 22908, USA. 2. Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA. 3. Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. 4. Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. 5. Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA. 6. Department of Family Medicine, University of Virginia School of Medicine, McKim Hall Rm 3156, Charlottesville, VA, 22908, USA. LL8NV@virginia.edu. 7. Cancer Center, University of Virginia, Charlottesville, VA, USA. LL8NV@virginia.edu.
Abstract
PURPOSE: To investigate if the association between dietary inflammatory potential and colorectal adenoma (CRA) is modified by race and factors known to modulate inflammation. METHODS: We examined effect measure modification of race, nonsteroidal anti-inflammatory drugs (NSAIDs), cigarette smoking and body mass index (BMI) on the diet-CRA association by employing energy-adjusted dietary inflammatory index (E-DII™) to characterize dietary inflammatory potential among 587 cases and 1,313 controls participating in a colonoscopy screening-based cross-sectional study of CRA. Participants completed a food frequency questionnaire from which E-DII score was derived. E-DII score was calculated from 34 food parameters (constituents), utilizing an energy-adjusted global comparative database to compute z scores from which centered proportions were summed to create the score. CRA cases were defined as individuals whose colonoscopy detected at least one pathologically confirmed adenomatous polyp. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: A pro-inflammatory diet was not statistically significantly associated with elevated CRA risk (OR 1.07; 95% CI 0.97-1.19; p value = 0.18) in the multivariate regression model. NSAIDs use (ORnever-users 1.19; 95% CI 1.03-1.38; ORever-users 0.96; 95% CI 0.83-1.12; Pinteraction = 0.04) and race (ORAfrican Americans 1.22; 95% CI 1.03-1.44; OREuropean Americans 0.99; 95% CI 0.86-1.14; Pinteraction = 0.14) appeared to modify the association, whereas cigarette smoking and BMI did not (Pinteraction = 0.40 and 0.78, respectively). CONCLUSION: NSAIDs use and race may modify the diet-CRA association. Further investigation in prospective cohort studies is warranted to confirm these findings.
PURPOSE: To investigate if the association between dietary inflammatory potential and colorectal adenoma (CRA) is modified by race and factors known to modulate inflammation. METHODS: We examined effect measure modification of race, nonsteroidal anti-inflammatory drugs (NSAIDs), cigarette smoking and body mass index (BMI) on the diet-CRA association by employing energy-adjusted dietary inflammatory index (E-DII™) to characterize dietary inflammatory potential among 587 cases and 1,313 controls participating in a colonoscopy screening-based cross-sectional study of CRA. Participants completed a food frequency questionnaire from which E-DII score was derived. E-DII score was calculated from 34 food parameters (constituents), utilizing an energy-adjusted global comparative database to compute z scores from which centered proportions were summed to create the score. CRA cases were defined as individuals whose colonoscopy detected at least one pathologically confirmed adenomatous polyp. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: A pro-inflammatory diet was not statistically significantly associated with elevated CRA risk (OR 1.07; 95% CI 0.97-1.19; p value = 0.18) in the multivariate regression model. NSAIDs use (ORnever-users 1.19; 95% CI 1.03-1.38; ORever-users 0.96; 95% CI 0.83-1.12; Pinteraction = 0.04) and race (ORAfrican Americans 1.22; 95% CI 1.03-1.44; OREuropean Americans 0.99; 95% CI 0.86-1.14; Pinteraction = 0.14) appeared to modify the association, whereas cigarette smoking and BMI did not (Pinteraction = 0.40 and 0.78, respectively). CONCLUSION: NSAIDs use and race may modify the diet-CRA association. Further investigation in prospective cohort studies is warranted to confirm these findings.
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