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Cambios en las diferencias por sexo en la esperanza de vida en España (1980-2012): descomposición por edad y causa

Overview of attention for article published in Gaceta Sanitaria, May 2017
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Title
Cambios en las diferencias por sexo en la esperanza de vida en España (1980-2012): descomposición por edad y causa
Published in
Gaceta Sanitaria, May 2017
DOI 10.1016/j.gaceta.2017.03.004
Pubmed ID
Authors

Juan Manuel García González, Rafael Grande

Abstract

To calculate and analyse the contributions of changes in mortality by age groups and selected causes of death to sex differences in life expectancy at birth in Spain from 1980 to 2012. Cross-sectional study with three time points (1980, 1995, and 2012). We used data from Human Cause-of-Death Database and Human Mortality Database. We use a decomposition method of the differences in life expectancy and gender differences in life expectancy from changes in mortality by 5-year age groups and causes of death between women and men. From 1980 to 1995, the lower mortality of women from 25 years old, and the differences in mortality by HIV/AIDS, lung cancer, and chronic obstructive pulmonary diseases contributed to the gap increase. From 1995 to 2012, greatest improvement in mortality of males under 74 years of age, and in improving male mortality from HIV/AIDS, acute myocardial infarction and traffic accidents contributed to the narrowing. The difference in life expectancy at birth between men and women has decreased since 1995 due to a greater improvement in mortality from causes of death associated with risky behaviours and habits of the working age male population.

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The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Student > Master 5 12%
Researcher 4 9%
Student > Postgraduate 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 15 35%
Readers by discipline Count As %
Nursing and Health Professions 9 21%
Medicine and Dentistry 9 21%
Social Sciences 4 9%
Computer Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 5%
Unknown 17 40%