Researchers are increasingly investigating the health consequences of different lifestyles and social conditions. In the evolving European context, new approaches are needed to capture the complexity of these issues. However, little research has focused on individuals’ perceptions of personal traits, particularly in relation to migratory background. Migration represents a key element of discontinuity within societies, as it can moderate or amplify the impact of certain social determinants. One such determinant is working life, as individuals spend a significant portion of their waking hours at work. At the same time, we are witnessing a shift in priorities, with people seeking jobs that offer greater satisfaction or lower risks, even at the expense of salary. This study examines perceived job satisfaction and its relationship with health among workers, using data from the 10th round of the European Social Survey (2020–2022). Multiple regression models are used to evaluate the probability of reporting good or poor health, considering both differences and similarities in job satisfaction among natives, second-generation migrants, and first-generation migrants. The analysis focuses on the impact of job characteristics, work satisfaction, family dynamics, and social life on perceived health. As the outcome variable is based on a subjective survey question, other subjective variables are also included, such as stress related to work and overall life satisfaction. Additionally, standard socio-demographic variables and cross-country differences within Europe are considered. Preliminary findings suggest that a more satisfying job, combined with a stable family situation, significantly improves individuals' perceived health. Notable differences also emerge among migrant groups while the roles of age and job level are not yet investigated at this stage.
Alma Mater Studiorum University of Bologna, Italy
University of Florence, Italy - ORCID: 0009-0004-0563-6734
Titolo del capitolo
Do work and family shape our perceived health? Analysis of the effect of some subjective indicators in Europe
Autori
Alex Pieroni, Alessandra Di Bello
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.56
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series