The "diet model" and metabolic syndrome components: Results from the Cordoba Health and Dietary Habits Investigation.

OBJECTIVES: Diet, one of the main risk factors for both metabolic syndrome (MetS) and non-communicable diseases (NCDs), is a multidimensional feature whose complexity relies on the individual and contextual characteristics of foods. The aim of this study was to build a "diet model" and estimate its relationship with MetS components in two Argentinian populations. METHODS: This was a population-based cross-sectional study that assessed bio-socio-anthropometrical variables and dietary habits using food frequency questionnaires. Dietary patterns (DPs) were drawn out using exploratory factor analysis (EFA). A structural equation model (SEM) was used to explore and confirm theoretical and empirical relationships between DPs and the diet model. The association between individuals' adherence to DPs and MetS were assessed using a multiple logistic regression analysis. We selected two cities in central Argentina according to socio-eco-environmental characteristics. Participants included 493 men and women (1:1 ratio) from 35 to 65 y of age. RESULTS: We identified four DPs: traditional Argentine (TA; processed meats, meats and eggs, fats, starchy vegetables), prudent (Pr; vegetables, fruits, milk, and yogurt), alcohol and snacks (AS), and sweets (S; candies and sodas). TA and AS DPs were associated with increased waist circumference. The S DP showed a strong effect on hypertension. Moderate adherence to the TA DP was positively associated with dyslipidemia but negatively with hypertension whenever individuals did not adhere to the AS DP. TA was positively correlated to AS and S, but inversely with Pr. CONCLUSION: This diet model integrated those food groups in an associative structure describing per se a synthesis of the Argentine dietary habits and their association with three of the five components of MetS.

Food Intake and the Significance of Feeding in Qom Children of Northern Argentina.

BACKGROUND: As part of the ubiquitous nutritional transition indigenous are experiencing, the typical diet of most indigenous communities is being substituted by one with high-fat and high-energy-density foods. Domestic feeding transmits cultural factors through meaning and symbolism influential in food, preparation, and meal experiences, which in turn influence children's eating habits differently among social groups. OBJECTIVES: The aims of this study were to explore the food consumption patterns of Qom preschoolers and to describe cultural domains about the significance of feeding in this indigenous population in northern Argentina. METHODS: This cross-sectional and mixed-methods study was conducted in 2016-2017 and focused on 160 preschoolers and their mothers in the village of Namqom. It used a closed questionnaire, three 24-h recalls, and free listing techniques. RESULTS: Qom preschoolers had a high prevalence of excess weight (25%) and stunting (16%). Mothers reported only 38 food items consumed by preschoolers. Almost all of the children (96%) consumed white bread, whereas 89% consumed milk, 87.5% sweet cookies, 84.7% some sort of stew, 72% fried dough, and 63.1% soup. In addition, it was found that preschoolers consumed neither fresh and varied vegetables, nor available fruits. They did not consume fresh fish and other meats, either. Caregivers related the term "feeding" with "having to eat," which might be associated with the context of poverty in which they live. Caregivers also mentioned "eating right" to get healthy or grow up strong. CONCLUSIONS: The present study revealed a relatively elevated consumption of high-energy but nutritionally poor food, and malnutrition, which reflects the impacts of poverty. We found that the cultural domain of food is linked to survival and depletion ideas.

Increased inflammatory potential of diet is associated with increased odds of prostate cancer in Argentinian men.

PURPOSE: Various aspects of diet, including specific food items and nutrients, have been shown to modulate inflammation and have been implicated in the etiology of prostate cancer (PrCA). No study examining the role of diet-associated inflammation in PrCA has been conducted in Latin America. METHOD: We examined the association between the Dietary Inflammatory Index (DII®) and PrCA in a population-based case-control study in Córdoba, Argentina. A total of 153 incident cases of PrCA and 309 controls frequency matched on sex, age (± 5 years), and place of residence were recruited from 2008 to 2015. The DII was developed to determine the inflammatory potential of individuals' diets and was computed from a validated food frequency questionnaire using nutrient data from diet only. Multi-level logistic regression models were fit to evaluate the association between DII scores and PrCA, adjusting for age, body mass index, energy intake, and occupational exposure as first-level covariates and family history of prostate cancer as the second-level variable. Odds ratios were estimated in all subject and stratified by BMI (< 30 vs. ≥ 30 kg/m2). RESULTS: Men in the most pro-inflammatory group (tertile 3) had 50% higher odds of having PrCA compared to men in the most anti-inflammatory group (tertile 1) (ORtertile3 vs. tertile1 1.50; 95% CI 1.24-1.80). The odds of prostate cancer were higher in obese men (n = 109, ORtertile3 vs. tertile1 1.81; 95% CI 1.45-2.27), while no association was found among non-obese men (n = 375, ORtertile3 vs. tertile1 0.93; 95% CI 0.25-3.51). CONCLUSIONS: A pro-inflammatory diet, reflected by higher DII scores, was positively associated with PrCA occurrence. Based on these results and those from other studies, steps should be taken to promote a diet rich in anti-inflammatory foods, in order to reduce risk of PrCA and other chronic diseases. Future studies should explore this association in a prospective setting.

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

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.

Tobacco smoking patterns and differential food effects on prostate and breast cancers among smokers and nonsmokers in Córdoba, Argentina.

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.