ABSTRACT
Objectives: The aims of this study are: to analyze the factor structure of the EURO-D depression scale; to explore the variables associated with depressive symptoms in the total sample and in the EURO-D factors; and to compare the presence of depressive symptoms and the factor distribution in 15 European countries.
Method: 62,182 participants in Wave 5 (2013) of the Survey of Health, Aging and Retirement in Europe (SHARE) were included. Instruments: The SHARE study and the EURO-D scale. Factor, bivariate and multilevel analyses were performed.
Results: Higher levels of depressive symptoms were associated with a poorer self-perception of physical health (η2 = 0.22) and economic difficulties (η2 = 0.07). Factor analysis of the EURO-D identified two factors: Suffering and Motivation. Higher levels of depressive symptoms were associated with female gender and younger age (≤60) in the Suffering factor, and with less activity and exercise, older age (≥71), widowhood and lower educational level in the Motivation factor. Poorer self-perception of physical health and economic difficulties were associated with higher depressive symptomatology in both factors.
Conclusions: Poorer self-perception of physical health, female gender, economic difficulties, widowhood, lower levels of activity and exercise and lower educational level were associated with higher depressive symptomatology. In the countries of southern Europe, the Motivation factor predominated.
Acknowledgments
This paper uses data from SHARE Wave 5 release 1.0.0, as of March 31st 2015 (DOI: 10.6103/SHARE.w5.100). The SHARE data collection has been primarily funded by the European Commission through the 5th Framework Programme (project QLK6-CT-2001-00360 in the thematic programme Quality of Life), through the 6th Framework Programme (projects SHARE-I3, RII-CT-2006-062193, COMPARE, CIT5-CT-2005-028857, and SHARELIFE, CIT4-CT-2006-028812) and through the 7th Framework Programme (SHARE-PREP, N° 211909, SHARE-LEAP, N° 227822 and SHARE M4, N° 261982). Additional funding from the U.S. National Institute on Aging (U01 AG09740-13S2, P01 AG005842, P01 AG08291, P30 AG12815, R21 AG025169, Y1- AG-4553-01, IAG BSR06-11 and OGHA 04-064) and the German Ministry of Education and Research as well as from various national sources is gratefully acknowledged (see www.share-project.org for a full list of funding institutions).
Disclosure statement
No potential conflict of interest was reported by the authors.