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Dietary patterns have been associated with breast cancer (BC) in Argentina. However, little evidence exists relating the inflammatory potential of diet and BC in Latin American countries and how this may relate to rurality.The aim of the present study was to evaluate the association between the Dietary Inflammatory Index (DII ® ) and BC considering urbanization contexts in Córdoba, Argentina.A frequency-matched case-control study (317 BC cases, 526 controls) was conducted from 2008 through 2016. DII scores were computed based on dietary intake assessed by a validated food frequency questionnaire. Multi-level logistic regression models were fit to evaluate the association between DII and BC, following adjustment for age, body mass index, age at menarche, number of children, smoking habits, socio-economic status and family history of BC as first-level covariates and urbanization level as the contextual variable.Increasing DII score showed significant positive associations with BC risk (OR tertile3vs.tertile1 1.34; 95%CI 1.05, 1.70). The association was stronger in overweight and obese women (OR tertile3vs.tertile1 1.98; 95%CI 1.86, 2.10). The DII effect on BC was higher with increased urbanization.A pro-inflammatory diet, reflected by higher DII scores, was positively associated with BC, especially in overweight women and with increased urbanization.

Objective: To identify sociodemographic determinants associated with the spatial distribution of the breast cancer incidence in the province of Córdoba, Argentina, in order to reveal underlying social inequities., Method: An ecological study was developed in Córdoba (26 counties as geographical units of analysis). The spatial autocorrelation of the crude and standardised incidence rates of breast cancer, and the sociodemographic indicators of urbanization, fertility and population ageing were estimated using Moran's index. These variables were entered into a Geographic Information System for mapping. Poisson multilevel regression models were adjusted, establishing the breast cancer incidence rates as the response variable, and by selecting sociodemographic indicators as covariables and the percentage of households with unmet basic needs as adjustment variables., Results: In Córdoba, Argentina, a non-random pattern in the spatial distribution of breast cancer incidence rates and in certain sociodemographic indicators was found. The mean increase in annual urban population was inversely associated with breast cancer, whereas the proportion of households with unmet basic needs was directly associated with this cancer., Conclusions: Our results define social inequity scenarios that partially explain the geographical differentials in the breast cancer burden in Córdoba, Argentina. Women residing in socioeconomically disadvantaged households and in less urbanized areas merit special attention in future studies and in breast cancer public health activities., (Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Objective: Analyze and interpret trends in mortality from breast cancer in recent decades in the province of Córdoba, Argentina, relative to demographic changes and the sociopolitical context., Methods: Raw, standardized (direct method), and age-specific mortality from breast cancer was calculated for 1986-2011 in Córdoba. Using RiskDiff® software, variations in the 1986 to 2011 raw rates were analyzed. Joinpoint regression models were adjusted to standardized and specific rates by age group. Secondary data sources (laws, decrees, health programs) were consulted for information on the sociopolitical context of the period., Results: Raw mortality due to breast cancer increased 24.97% from 1986 to 2011, an increase that can be attributed to the increase in the risk of dying (5.22%), to structural changes (19.75%), and to population size (39.66%). Standardized mortality from breast cancer shows a rising trend up to 1996 (annual percentage change [APC] = 1.62%; P <0.05), and then begins to decline (APC = -2.1%; P <0.05), slowing around the year 2001. For socio-historical interpretations, the analysis focused on demographic, epidemiological, and health-related changes, as well as the socioeconomic and political events of the period studied., Conclusions: The behavior of mortality from breast cancer in this period is associated with contextual factors (demographic, historical, economic, and political). The results of this study will help define actions and policies in breast cancer and women's health care.

The aim of this study was to estimate the effect of diet on prostate and breast cancer (PC and BC) risks in smokers and nonsmokers and to explore the effect modification between smoking and dietary patterns. PC or BC incidence rates were assessed spatially according to tobacco exposure, age-adjusted standardization using lung cancer mortality as a proxy. Two case-control studies were carried out in Argentina (2008-2012). Participants were interviewed about their diet, smoking habits, and other lifestyle factors. Multilevel models were fitted including family history of cancer as the random intercept for the second level, and diet and lifestyle variables as covariates. Tobacco exposure was aggregated spatially. Family history of cancer significantly accounts for PC and BC. In smokers, high intake of fat meat increased PC and BC risks [odds ratio (OR) 1.56, 95% confidence interval (CI) 0.81-3.05 and OR 6.01, 95% CI 1.99-8.19, respectively]. PC and BC risks were also greater in smokers with high intakes of fatty foods (OR 1.95, 95% CI 1.09-3.50 and OR 24.2, 95% CI 0.82-7.21, respectively). Moderate intake of nonstarchy vegetables and risk of PC were inversely associated in nonsmokers (OR 0.55, 95% CI 0.20-1.48). In smoker women, BC risk was associated with sweet drink consumption (OR 2.96, 95% CI 1.10-7.92) and ethanol intake (OR 5.15, 95% CI 1.88-14.16). Spatial distributions of cancer incidence rates match those of tobacco exposure. Differential effects of diet on PC and BC risks were found in smokers and nonsmokers.

Introduction: Several studies have shown the effect of dietary patterns on breast cancer risk, but none has been conducted in Argentina. The aim of this study was to extract dietary patterns from Food Frequency Questioner, to estimate their effect on breast cancer occurrence while taking into account aggregation factors (family history of breast cancer) and to explore the sensitivity of the estimates to changes in the assumptions., Methods: A principal component exploratory factor analysis was applied to identify dietary patterns, which were then included as covariates in a multilevel logistic regression. Family history of BC was considered as a clustering variable. A multiple probabilistic sensitivity analysis was also performed., Results: The study included 100 cases and 294 controls. Four dietary patterns were identified. Traditional (fat meats, bakery products, and vegetable oil and mayonnaise) (OR III tertile vs I 3.13, 95% CI 2.58-3.78), Rural (processed meat) (OR III tertile vs I 2.02, 95% CI 1.21-3.37) and Starchy (refined grains) (OR III tertile vs I 1.82, 95 % CI 1.18-2.79) dietary patterns were positively associated with BC risk, whereas the Prudent pattern (fruit and non-starchy vegetables) (OR III tertile vs I 0.56, 95% CI 0.41-0.77) showed a protective effect. For Traditional pattern, the median bias-adjusted ORs (3.52) were higher than the conventional (2.76)., Conclusions: While the Prudent pattern was associated with a reduced risk of BC, Traditional, Rural and Starchy patterns showed a promoting effect. Despite the threats to validity, the nature of associations was not strongly affected.