[Prevalence of noncommunicable diseases and risk factors in rural population of San Luis, Argentina].

The objective of this study was to estimate the prevalence of diabetes mellitus (DM) and cardiovascular risk factors in a rural population in the province of San Luis, Argentina. Cross-sectional study developed between September and November 2017 with 18-year-old inhabitants and more than four towns in the Juan Martín de Pueyrredón department, San Luis. The participants answered questions by self-report on sociodemographic aspects, habits, psychosocial and risk factors for non-communicable diseases; physical measurements, FINDIRSC questionnaire and blood sample extraction were performed.

[Epidemiological study of non-communicable diseases in the rural population of San Luis, Argentina. Methodological aspects].

Objective: to describe the methodological aspects of the first epidemiological study on the profile of non-communicable diseases (NCDs) in rural areas of Argentina carried out in 2017.

Methods: A cross-sectional design was used. The reference population was the inhabitants of 18 years and over from the towns of Beazley, Zanjitas, Alto Pelado and Cazador, Juan M.

[Does geographic context matter in diabetes-related mortality? Spatial and time trends in Argentina, 1990-2012].

The aim of this study was to identify spatial-temporal clusters of high and low diabetes-related mortality from 1990 to 2012 in Argentina. This was a spatial-temporal retrospective ecological study in the population older than 34 years living in Argentina, according to sex, from 1990 to 2012. The spatial units of analysis consisted of the country's departments (subdivisions of the provinces) plus the Autonomous City of Buenos Aires.

Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition.

Background: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development.