Literature DB >> 21435900

Principal component analysis of dietary and lifestyle patterns in relation to risk of subtypes of esophageal and gastric cancer.

Stephanie A Navarro Silvera1, Susan T Mayne, Harvey A Risch, Marilie D Gammon, Thomas Vaughan, Wong-Ho Chow, Joel A Dubin, Robert Dubrow, Janet Schoenberg, Janet L Stanford, A Brian West, Heidrun Rotterdam, William J Blot.   

Abstract

PURPOSE: To carry out pattern analyses of dietary and lifestyle factors in relation to risk of esophageal and gastric cancers.
METHODS: We evaluated risk factors for esophageal adenocarcinoma (EA), esophageal squamous cell carcinoma (ESCC), gastric cardia adenocarcinoma (GCA), and other gastric cancers (OGA) using data from a population-based case-control study conducted in Connecticut, New Jersey, and western Washington state. Dietary/lifestyle patterns were created using principal component analysis (PCA). Impact of the resultant scores on cancer risk was estimated through logistic regression.
RESULTS: PCA identified six patterns: meat/nitrite, fruit/vegetable, smoking/alcohol, legume/meat alternate, GERD/BMI, and fish/vitamin C. Risk of each cancer under study increased with rising meat/nitrite score. Risk of EA increased with increasing GERD/BMI score, and risk of ESCC rose with increasing smoking/alcohol score and decreasing gastroesophageal reflux disease (GERD)/body mass index (BMI) score. Fruit/vegetable scores were inversely associated with EA, ESCC, and GCA.
CONCLUSIONS: PCA may provide a useful approach for summarizing extensive dietary/lifestyle data into fewer interpretable combinations that discriminate between cancer cases and controls. The analyses suggest that meat/nitrite intake is associated with elevated risk of each cancer under study, whereas fruit/vegetable intake reduces risk of EA, ESCC, and GCA. GERD/obesity were confirmed as risk factors for EA and smoking/alcohol as risk factors for ESCC.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21435900      PMCID: PMC3109225          DOI: 10.1016/j.annepidem.2010.11.019

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  47 in total

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