2018
DOI: 10.1007/s00038-018-1149-8
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Mortality by occupation-based social class in Italy from 2012 to 2014

Abstract: There are remarkable disparities across occupation-based social classes in the Italian working population that favour the upper non-manual workers. Our data could be useful in planning policies for a more effective health and social security system.

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Cited by 14 publications
(9 citation statements)
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“…This finding might be due to greater differences in occupational burden between SES groups among men than among women. 14 35 36 Overall, the increase in life expectancy for women is much weaker than for men, leading to a narrowing gender gap, which can also be observed for the total German population. 1 Due to the considerably small increase in female life expectancy, changes in inequalities over time were expected to be less pronounced for women than for men, which holds true for our study population.…”
Section: Discussionmentioning
confidence: 83%
“…This finding might be due to greater differences in occupational burden between SES groups among men than among women. 14 35 36 Overall, the increase in life expectancy for women is much weaker than for men, leading to a narrowing gender gap, which can also be observed for the total German population. 1 Due to the considerably small increase in female life expectancy, changes in inequalities over time were expected to be less pronounced for women than for men, which holds true for our study population.…”
Section: Discussionmentioning
confidence: 83%
“…A decrease in health disparity depending on the occupational status may be hypothesized in nonagenarians based on a “weakening effects” of working conditions after retirement, a “mortality selection” of people belonging to higher risk categories, and a “ceiling effect”, referring to a high risk of morbidity in all occupational categories. Regarding the “mortality selection” issue, indeed, it is worth mentioning that low skilled manual occupations are often considered as a proxy for a low socioeconomic status [ 48 ], a condition generally associated with a greater risk of poor health, higher rates of illness, disability, and mortality compared with belonging to high socioeconomic status [ 49 ].…”
Section: Discussionmentioning
confidence: 99%
“…These variables were chosen as they showed a strong correlation with all-cause mortality [37]. According to published literature data, the SED variables are potential predictors of the geographical distribution of CSD mortality [38][39][40][41][42][43]. Education not only increases the awareness of bene cial health behaviors, through medical and prophylactic care as well as treatment recommendations, but is also one of the important determinants of employment [38,39].…”
Section: Area-level Sed Indexmentioning
confidence: 99%