Introduction: An educational mismatch is defined as the situation where the education qualifications of an employee do not match the qualifications required for the job they do. A mismatch can be vertical where the level of the employee's qualification is not the one required by the job. This study contributes to the literature on work-related social determinants of health, by carrying out the first assessment of the relationship between educational mismatch and health in Italy. Methods: Data come from PLUS, a national survey of labor supply. The risk of suffering from bad or very bad health associated with educational mismatch is investigated through a logistic regression model accounting for the socioeconomic context and occupation. Results: Our findings show women are at greater risk of suffering from bad or very bad health than men, especially if under-educated. Discussion: Our results show the need to address more research on work-related social determinants of health, which can represent a barrier to achieving health equity.
Work-related socioeconomic determinants of health. evidence from educational mismatch in Italy / Abbafati, Cristiana; Rosano, Aldo. - In: FRONTIERS IN PUBLIC HEALTH. - ISSN 2296-2565. - 12:(2024), pp. 1-8. [10.3389/fpubh.2024.1388093]
Work-related socioeconomic determinants of health. evidence from educational mismatch in Italy
Abbafati, Cristiana
;Rosano, Aldo
2024
Abstract
Introduction: An educational mismatch is defined as the situation where the education qualifications of an employee do not match the qualifications required for the job they do. A mismatch can be vertical where the level of the employee's qualification is not the one required by the job. This study contributes to the literature on work-related social determinants of health, by carrying out the first assessment of the relationship between educational mismatch and health in Italy. Methods: Data come from PLUS, a national survey of labor supply. The risk of suffering from bad or very bad health associated with educational mismatch is investigated through a logistic regression model accounting for the socioeconomic context and occupation. Results: Our findings show women are at greater risk of suffering from bad or very bad health than men, especially if under-educated. Discussion: Our results show the need to address more research on work-related social determinants of health, which can represent a barrier to achieving health equity.File | Dimensione | Formato | |
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