Traditional Dietary Pattern Increases Risk of Prostate Cancer in Argentina: Results of a Multilevel Modeling and Bias Analysis from a Case-Control Study.

IF 1.8 Q3 ONCOLOGY Journal of Cancer Epidemiology Pub Date : 2015-01-01 Epub Date: 2015-11-16 DOI:10.1155/2015/179562
Camila Niclis, María D Román, Alberto R Osella, Aldo R Eynard, María Del Pilar Díaz
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Abstract

There is increasing evidence that dietary habits play a role in prostate cancer (PC) occurrence. Argentinean cancer risk studies require additional attention because of the singular dietary pattern of this population. A case-control study (147 PC cases, 300 controls) was conducted in Córdoba (Argentina) throughout 2008-2013. A principal component factor analysis was performed to identify dietary patterns. A mixed logistic regression model was applied, taking into account family history of cancer. Possible bias was evaluated by probabilistic bias analysis. Four dietary patterns were identified: Traditional (fatty red meats, offal, processed meat, starchy vegetables, added sugars and sweets, candies, fats, and vegetable oils), Prudent (nonstarchy vegetables, whole grains), Carbohydrate (sodas/juices and bakery products), and Cheese (cheeses). High adherence to the Traditional (OR 2.82, 95%CI: 1.569-5.099) and Carbohydrate Patterns (OR 2.14, 95%CI: 1.470-3.128) showed a promoting effect for PC, whereas the Prudent and Cheese Patterns were independent factors. PC occurrence was also associated with family history of PC. Bias adjusted ORs indicate that the validity of the present study is acceptable. High adherence to characteristic Argentinean dietary patterns was associated with increased PC risk. Our results incorporate original contributions to knowledge about scenarios in South American dietary patterns and PC occurrence.

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阿根廷人的传统饮食模式会增加罹患前列腺癌的风险:一项病例对照研究的多层次建模和偏差分析结果。
越来越多的证据表明,饮食习惯对前列腺癌(PC)的发生有影响。阿根廷的癌症风险研究需要更多关注,因为阿根廷人的饮食模式非常独特。一项病例对照研究(147 例 PC 病例,300 例对照)于 2008-2013 年期间在科尔多瓦(阿根廷)进行。研究采用主成分因子分析来确定饮食模式。应用混合逻辑回归模型,并将癌症家族史考虑在内。通过概率偏差分析评估了可能存在的偏差。确定了四种饮食模式:传统型(肥肉、内脏、加工肉类、淀粉类蔬菜、添加糖和甜食、糖果、脂肪和植物油)、谨慎型(非淀粉类蔬菜、全谷物)、碳水化合物型(汽水/果汁和烘焙食品)和奶酪型(奶酪)。高度坚持传统饮食模式(OR 2.82,95%CI:1.569-5.099)和碳水化合物饮食模式(OR 2.14,95%CI:1.470-3.128)对 PC 有促进作用,而谨慎饮食模式和奶酪饮食模式则是独立因素。PC 的发生还与 PC 家族史有关。经偏差调整的 OR 表明,本研究的有效性是可以接受的。高度遵循阿根廷特色饮食模式与 PC 风险增加有关。我们的研究结果为了解南美饮食模式和 PC 发生率做出了原创性贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
10
审稿时长
20 weeks
期刊介绍: Journal of Cancer Epidemiology is a peer-reviewed, open access journal that publishes original research articles, review articles, case reports, and clinical studies in all areas of cancer epidemiology.
期刊最新文献
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