Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/18894
Title: | The impact of socio-demographic features on anxiety and depression amongst navy veterans after retirement: a cross-sectional study | Authors: | Georgantas, Dimitris Tsounis, Andreas Vidakis, Ioannis Malliarou, Maria Sarafis, Pavlos |
Major Field of Science: | Medical and Health Sciences | Field Category: | Clinical Medicine | Keywords: | Anxiety;Depression;Navy;Retirement;Veterans | Issue Date: | 3-Mar-2020 | Source: | BMC Research Notes, 2020, vol. 13, no. 1, articl. no. 122 | Volume: | 13 | Issue: | 1 | Journal: | BMC research notes | Abstract: | Retirement from work may trigger various changes in everyday life that affect mental health. The current cross-sectional study, conducted with 231 veterans, examines the relationship between socio-demographic features and both anxiety and depression in navy veterans after retirement. Spielberg's State-Trait Anxiety Inventory (STAI) was used for anxiety assessment, and the Beck Depression Inventory (BDI) was used for depression assessment. The analysis was performed with the Statistical Package for Social Sciences (SPSS), version 20.0. | Description: | The article was funded by the “CUT Open Access Author Fund” | URI: | https://hdl.handle.net/20.500.14279/18894 | ISSN: | 17560500 | DOI: | 10.1186/s13104-020-04966-x | Rights: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and
the source, provide a link to the Creative Commons licence, and indicate if changes were made. Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Article | Affiliation : | Hellenic Open University Aristotle University of Thessaloniki University of Thessaly Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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This item is licensed under a Creative Commons License