Correlating Dietary Pattern and Bladder Cancer Risk Using Principal Component and Reduced Rank Regression Analyses

Abstract

We investigated the association between dietary patterns (DPs) and bladder cancer (BC) using principal component analysis (PCA) and reduced rank regression (RRR). This case-control study comprised 102 BC patients and 197 controls aged ≥ 45 years. Dietary intakes were assessed using a food-frequency questionnaire. The response variables for RRR were nitrite and trans-fatty acid consumption. The following DPs were retained using PCA: "high fat and high carbohydrate", "healthy", and "ready-to-eat". The first pattern was positively (OR = 5.78, 95% CI: 3.14, 10.6) and the healthy was negatively (OR = 0.60, 95%CI: 0.42, 0.86) associated with BC risk in the fully adjusted model. The first RRR pattern, "high trans-fatty acids and high nitrite", was positively correlated with trans-fatty acids and nitrite. A higher score on this pattern was associated with a more likely to have BC (OR = 1.83, 95% CI: 1.23, 2.71). The second one, "high trans-fatty acids and low nitrite", was positively correlated with trans-fatty acids but negatively correlated with nitrite. More adherence to this pattern increased BC risk (OR = 1.75, 95% CI: 1.23, 2.50). We identified DPs positively linked to BC. Furthermore, a diet rich in vegetables, fruits, nuts, seafood, and olive oil was inversely associated with BC. Supplemental data for this article is available online at https://doi.org/10.1080/01635581.2022.2047739 .