Spatio-Temporal Distribution of Colorectal Cancer Incidence in Córdoba, Argentina.

OBJECTIVE: To study the trend of colorectal cancer (CRC) incidence, considering its spatiotemporal distribution and its association with the level of urbanisation in Córdoba, Argentina (2004-2014). METHODS: An ecological and longitudinal study was conducted in the province of Córdoba (the second most populated of the country) using annual data for the period 2004-2014. Age-standardised incidence rates (ASIR) (standard national and world population) by sex were calculated for Córdoba and its 26 departments for CRC using the provincial tumour registry database. Joinpoint regression models were adjusted to provincial ASIRs. Departments ASIRs were mapped in quintiles. The departments were grouped into three strata according to urbanisation: High (n1=6, >107,000 people); Intermediate (n2=13, 33,000-107,000 people); and Low (n3=7, <33,000 people). The spatio-temporal correlation analysis of the departments' rates was fulfilled using the multilevel modelling strategy. RESULTS: ASIRs of CRC in Córdoba province were 30.9 ±1.5 and 24.3 ±1.5 cases/100,000 for men and women, respectively. During 2004-2014, ASIRs tended to decrease (annual per cent change: -0.6; CI95% -1.8, 0.6). Maps reflected different geospatial patterns by sex. CRC incidence in males was higher than in females in all strata (high urbanisation, incidence rate ratios (IRR): 1.66; intermediate, IRR: 1.59; and low, IRR: 1.40). There was a significant downward temporary variation in the most populous departments (3% per year). CONCLUSIONS: CRC presents a non-random spatial pattern across the territory with a decreasing temporal variation in the most populous departments. Differential incidence and temporospatial tendency burden in Córdoba involve sex and urbanisation. Men continue to be the population at the greatest risk; this pattern is more noticeable in most urban settings.

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.