Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
|
||||
| DOI | 10.1177/08982643211027404 | ||||
| Año | 2022 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Objectives To examine the association between education and mortality by age and gender in Chile. Methods We drew data from 10,147 adults aged 40 years and over from the Chilean Social Protection Survey linked to the national death records. We specify five Cox regression models to estimate the main and interaction effects for education levels, age, sex, and mortality. Results The hazard ratios reduce with increasing education. Secondary and tertiary education levels are associated, respectively, with 34% and 41% lower hazard rates than 0-4 years of schooling. Also, the educational gradient in mortality is significantly weaker at older ages, and it does not differ by gender. Discussion Our findings endorse the negative association of formal education with adult mortality, uncovering Chile's structural problems despite the economic improvements underway. It also corroborates the importance of novel longitudinal data for mortality analyses in Latin America.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Sandoval, Moises H. | Hombre |
Universidad de Chile - Chile
|
| 2 | Turra, Cassio M. | Hombre |
Univ Fed Minas Gerais - Brasil
Universidade Federal de Minas Gerais - Brasil |
| 3 | Luz, Luciana | Mujer |
Univ Fed Minas Gerais - Brasil
Universidade Federal de Minas Gerais - Brasil |
| Fuente |
|---|
| Conselho Nacional de Desenvolvimento Científico e Tecnológico |
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
| National Council for Scientific and Technological Development (CNPq), Brazil |
| Brazilian Graduate Studies Coordinating Board |
| Brazilian Graduate Studies Coordinating Board (Capes) |
| Ministry of Labor and Social Welfare |
| Agradecimiento |
|---|
| We are grateful to the Social Welfare Subsecretary of the Ministry of Labor and Social Welfare of the Government of Chile for providing the Social Protection Survey database. The present study was supported by the Brazilian Graduate Studies Coordinating Board (Capes, Code 001), which funds the Demography Program at Universidade Federal de Minas Gerais, Brazil. C. M. Turra thanks the support received from the National Council for Scientific and Technological Development (CNPq), Brazil. The authors would also like to thank Professors Laura Wong, Marilia Nepomuceno, Juliana Mambrini, and Kenya Noronha for their suggestions for improving this article. |
| We are grateful to the Social Welfare Subsecretary of the Ministry of Labor and Social Welfare of the Government of Chile for providing the Social Protection Survey database. The present study was supported by the Brazilian Graduate Studies Coordinating Board (Capes, Code 001), which funds the Demography Program at Universidade Federal de Minas Gerais, Brazil. C. M. Turra thanks the support received from the National Council for Scientific and Technological Development (CNPq), Brazil. The authors would also like to thank Professors Laura Wong, Marilia Nepomuceno, Juliana Mambrini, and Kenya Noronha for their suggestions for improving this article. |