Title
Macro-level gender equality and depression in men and women in EuropeMacro-level gender equality and depression in men and women in Europe
Author
Faculty/Department
Faculty of Social Sciences. Communication Sciences
Research group
[E?say:metaIrdep.cgug_PS04]
Publication type
article
Publication
London,
Subject
Sociology
Biology
Human medicine
Source (journal)
Sociology of health and illness. - London
Volume/pages
35(2013):5, p. 682-698
ISSN
0141-9889
ISI
000320780600003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
A recurrent finding in international literature is a greater prevalence of depression in women than in men. While explanations for this gender gap have been studied extensively at the individual level, few researchers have studied macro-level determinants of depression in men and women. In the current study we aim to examine the micromacro linkage of the relationship between gender equality and depression by gender in Europe, using data from the European Social Survey, 20062007 (N = 39,891). Using a multilevel framework we find that a high degree of macro-level gender equality is related to lower levels of depression in both women and men. It is also related to a smaller gender difference in depression, but only for certain social subgroups and only for specific dimensions of gender equality.
E-info
https://repository.uantwerpen.be/docman/iruaauth/35aa36/128824.pdf
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000320780600003&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000320780600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000320780600003&DestLinkType=CitingArticles&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848