Román María Dolores, Niclis Camila, Aballay Laura Rosana, Lantieri María Josefina, Díaz María Dِel Pilar, Muñoz Sonia Edith
Instituto de Investigaciones en Ciencias de la Salud (INICSA), Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Escuela de Nutrición, Facultad de Ciencias Médicas,Universidad Nacional de Córdoba, Córdoba, Argentina. Email:
Asian Pac J Cancer Prev. 2018 Jun 25;19(6):1495-1501. doi: 10.22034/APJCP.2018.19.6.1495.
Background: Diverse environmental exposures, as well as dietary and lifestyle factors, are associated with prostate cancer (PC) etiology; however little is known about joint interactive influences. The aim of this study was to analyse effects of diet combined with arsenic in drinking water and agricultural occupation on PC risk. Methods: A case-control study was conducted in Córdoba, Argentina (period 2008-2015) including 147 cases of PC and 300 controls. All subjects were interviewed about food consumption, socio-demographic and lifestyle characteristics. A sample of drinking water was taken to determine arsenic concentrations. Adherence scores to the Traditional Dietary Pattern were estimated, based on a principal component factor analysis. A two-level logistic regression model was fitted in order to assess effects of the Traditional Pattern, occupation and arsenic exposure on the occurrence of PC (outcome). Family history of PC was considered as a clustering variable. Results: PC risk was greatest in subjects with high adherence to the Traditional Pattern (OR 2.18; 95%IC 1.097–4.344). Subjects exposed to arsenic in drinking water above 0.01mg/l who simultaneously performed agricultural activities showed a markedly elevated PC risk (OR 5.07; 95%IC 2.074-12.404). Variance of the random effect of family history of PC was significant. conclusion: Diet, arsenic and occupation in agriculture exert significant effects on PC risk. Further efforts are necessary to analyse risk factors integrally, in order to achieve a better understanding of the complex causal network for PC in this multiple-exposure population.
多种环境暴露以及饮食和生活方式因素都与前列腺癌(PC)的病因相关;然而,关于联合交互影响却知之甚少。本研究的目的是分析饮食与饮用水中的砷以及农业职业对PC风险的影响。方法:在阿根廷科尔多瓦进行了一项病例对照研究(2008 - 2015年期间),包括147例PC病例和300例对照。所有受试者都接受了关于食物消费、社会人口统计学和生活方式特征的访谈。采集饮用水样本以测定砷浓度。基于主成分因子分析估计对传统饮食模式的依从性得分。拟合了一个两级逻辑回归模型,以评估传统模式、职业和砷暴露对PC发生(结局)的影响。PC家族史被视为一个聚类变量。结果:对传统模式高度依从的受试者PC风险最高(比值比2.18;95%置信区间1.097 - 4.344)。饮用水中砷暴露超过0.01mg/l且同时从事农业活动的受试者PC风险显著升高(比值比5.07;95%置信区间2.074 - 12.404)。PC家族史随机效应的方差具有显著性。结论:饮食、砷和农业职业对PC风险有显著影响。有必要进一步努力对风险因素进行整体分析,以便更好地理解这个多暴露人群中PC复杂的因果网络。