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Title:
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Gender differences in labour losses associated with smoking-related mortality
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Author:
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Oliva Moreno, Juan; Trapero Bertran, Marta; Peña-Longobardo, Luz María
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Notes:
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The aim of this paper was to estimate the number of premature deaths, years of potential productive life lost (YPPLL) and labour losses attributable to tobacco smoking due to premature death by gender for the Spanish population. The human capital approach was applied. Employment, gross wage and death data were obtained from the Spanish National Institute of Statistics. Relative risks of death due to cigarette smoking and former smoking were applied. The base case used an annual discount rate of 3% and an annual labour productivity growth rate of 1%. Univariate deterministic sensitivity analysis was performed on discount rates and labour productivity growth rates. Between 2002 and 2016, smoking was estimated to cause around 13,171–13,781 annual deaths in the population under 65 years of age (legal retirement age) in Spain. This increase was mostly due to female deaths. YPPLLs for females have increased over the years, while for males they have fallen markedly. Labour losses associated with smoking mortality ranged from €2269 million in 2002 to €1541 in 2016 (base year 2016). In fact, labour productivity losses have decreased over the years for men (−39.8%) but increased sharply for women (101.6%). The evolution of monetary value of lost productivity due to smoking mortality shows clearly differentiated trends by gender. View Full-Text |
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Subject(s):
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-Hàbit de fumar
-Productivitat laboral
-Tabac
-Mortalitat
-Recursos humans
-Hábito de fumar
-Productividad laboral
-Tabaco
-Mortalidad
-Recursos humanos
-Smoking
-Labor productivity
-Tobacco
-Mortality
-Human Resources
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Rights:
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0/ |
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Document type:
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Article
Article - Accepted version |
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Published by:
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MDPI
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