Author(s):
Andrade, Vanda ; Quarta, Stefano ; Tagarro, Marta ; Miloseva, Lence ; Massaro, Marika ; Chervenkov, Mihail ; Ivanova, Teodora ; Jorge, Rui ; Maksimova, Viktorija ; Smilkov, Katarina ; Ackova, Darinka Gjorgieva ; Ruskovska, Tatjana ; Philippou, Elena ; Deligiannidou, Georgia Eirini ; Kontogiorgis, Christos A. ; Conesa, María-Teresa García ; Pinto, Paula
Date: 2022
Persistent ID: http://hdl.handle.net/10400.26/59555
Origin: Egas Moniz - Cooperativa de Ensino Superior, CRL
Subject(s): life satisfaction; subjective well-being; hedonic well-being; eudaimonic well-being; lifestyle habits; Mediterranean
Description
Increased understanding of subjective well-being (SWB), as well as factors that influence it, are essential to enhance well-being at the individual and national level. We have applied a hedonic and eudaimonic 9-item composed tool (SWB score) to measure SWB across several Mediterranean (MED) and non-Mediterranean (non-MED) countries, and to explore the association between the SWB score and a range of sociodemographic, health and Mediterranean lifestyle factors. A specifically designed web-based questionnaire was distributed to adult participants (N = 2400) from Spain, Italy, Portugal, Bulgaria and Republic of North Macedonia. Results showed that the SWB score was significantly different across the examined countries with the MED participants displaying slightly higher average scores than the non-MED ones (6.3 ± 1.5 vs. 6.1 ± 1.6, p = 0.002). Several sociodemographic, health status and lifestyle factors displayed a significant but limited association with the 9-item SWB score, with a multiple regression model explaining around 17% of the variance. Nevertheless, our results support that a closer adherence to Mediterranean lifestyle habits—the Mediterranean Diet, spending time with friends, family, and in nature, being active, and getting adequate rest at night—has a positive influence on the 9-item SWB score. Further research is needed to advance the understanding of the measuring and differentiating of SWB across different populations and to establish all the factors that influence it.
