An analysis of death trends in Argentina, 1990-2017, with emphasis on the effects of economic crises.

BACKGROUND: Economic crises have heterogeneous effects on population-level mortality between high- and low- or middle-income countries. Argentina - a middle income country- has suffered economic crises repeatedly over the past 30 years and is a model case study for the effects of economic crises on mortality. METHODS: Over 28 years (1990-2017), all death records in Argentina were analysed at the most disaggregated level possible (departments, that is, second-level administrative divisions). Age-and-sex-standardized all-cause mortality, premature death (<75 years) and the probability of death at different ages for both the entire population and each socio-economic quintile were calculated by level of unsatisfied basic needs (UBNs). Standardized rates are reported as biannual average and 95% confidence interval. RESULTS: Considered globally since the beginning of the series and using the 1990-1 biennium as a reference category, the standardized death rate was significantly reduced from biennium 2 (1992-3) to biennium 14 (2016-7), interrupted by two statistically significant increases in mortality, in years 2002-3 and 2016-7. In 2002-3, women had greater increase in mortality than men, and in 2016-7, even more so. The probability of dying before 75 years of age increased significantly in the last biennium, mostly among people between 50 and 74 years in the most deprived quintiles. CONCLUSIONS: Despite significant overall improvement over time, economic crises impose severe increases in mortality, especially among vulnerable groups such as the poor, the elderly, and women.

Inequidad social, lugar de residencia y muerte prematura por cualquier causa en la Argentina / Social Inequity, Place of Residence and All-Cause Premature Death in Argentina

Introducción: Aunque recientemente se reportó la relación entre la muerte prematura y la condición socioeconómica en la Argentina, no existen análisis sobre el impacto que dicha condición tiene en distintas regiones del país. Objetivo: Describir el impacto que la condición socioeconómica presentó sobre la incidencia de muerte prematura en las distintas provincias de la Argentina durante el período 2000-2010. Material y métodos: Se utilizó un modelo ecológico, que evaluó las tasas estandarizadas de muerte prematura (≤ 74 años) durante el período 2000-2010. Asimismo, se examinó la relación entre la condición socioeconómica medida en deciles de necesidades básicas insatisfechas por departamento geográfico y la muerte prematura. La unidad de análisis fueron los 512 departamentos de la Argentina y las 15 comunas de la ciudad de Buenos Aires. Resultados: La condición socioeconómica estuvo significativamente asociada con la muerte prematura en la Argentina durante el período analizado. En todas las provincias y regiones se observó un gradiente lineal entre la muerte precoz y la condición socioeconómica. Sin embargo, la pendiente de desigualdad entre los componentes de la condición socioeconómica varió significativamente entre los distintos departamentos. Mientras que en toda la Argentina la diferencia absoluta en la tasa estandarizada de muerte prematura entre los componentes extremos de condición socioeconómica fue de 10 muertes (rango: 7,81-12,36) por cada 10.000 personas por año, en la ciudad de Buenos Aires esa diferencia fue de 61 muertes (rango: 53-69). Las comunas del sur de la ciudad de Buenos Aires fueron las zonas con mayor desigualdad social y sanitaria de la Argentina. Conclusiones: Aunque la inequidad social tuvo un impacto significativo en la muerte prematura en todo el período en toda la Argentina, la ciudad de Buenos Aires se mostró como la región más desigual.

Background: Although the relationship between premature death and socioeconomic status has been recently reported in Argentina, there are no analyses on the impact of this condition in different regions of the country. Objective: The aim of this study was to describe the influence of socioeconomic status on the incidence of premature death rate in different provinces of Argentina, from 2000 to 2010. Methods: An ecological model was used to evaluate standardized premature death rates (≤74 years) during the period between 2000 and 2010. In addition, the relationship between socioeconomic status, measured in deciles of unmet basic needs at geo-graphic departmental level and premature death was examined. The units of analysis were the 512 Argentine departments and the 15 communes of the city of Buenos Aires. Results: Socioeconomic status was significantly associated with premature death rate in Argentina during the study period. A linear gradient was observed between premature death and socioeconomic status in all provinces and regions. However, the slope index of inequality varied significantly between departments. While the absolute difference in standardized premature death rate between the extreme components of socioeconomic status was 10 deaths (range: 7.81-12.36) per 10,000 persons pers year in all Argentina, in the city of Buenos Aires this difference was 61 deaths (range: 53-69). The Southern communes of Buenos Aires were the areas with the highest social and health inequalities of Argentina. Conclusions: Although social inequity had a significant impact on premature death rate throughout Argentina during the study period, the city of Buenos Aires was the most unequal region.