Identifying factors that contribute to military veterans' post‐military well‐being. Issue 2 (17th February 2021)
- Record Type:
- Journal Article
- Title:
- Identifying factors that contribute to military veterans' post‐military well‐being. Issue 2 (17th February 2021)
- Main Title:
- Identifying factors that contribute to military veterans' post‐military well‐being
- Authors:
- Vogt, Dawne
King, Matthew W.
Borowski, Shelby
Finley, Erin P.
Perkins, Daniel F.
Copeland, Laurel A. - Abstract:
- Abstract: Prior research has examined the independent effects of demographic and military characteristics, trauma history, and coping resources on military veterans' health. However, there is limited knowledge of how these factors intersect with one another and with veterans' health to impact their broader well‐being as they readjust to civilian life. Data for this study were drawn from a longitudinal investigation of the health and broader well‐being of U.S. veterans ( N = 7150) who had recently left military service. Machine learning analyses (random forests of regression trees) were used to examine how factors assessed shortly after military separation were associated with veterans' well‐being approximately a year later. Veterans who endorsed the combination of low depression, high social support, and high psychological resilience were most likely to report high well‐being a year later. Neither demographic and military characteristics nor trauma history emerged as strong predictors of veterans' well‐being when considered in the context of other factors. Although most predictors were similar for women and men, depression was a stronger predictor of women's well‐being. Results highlight the importance of screening for and intervening with veterans who report high depression, low social support, and low psychological resilience when leaving military service. These findings can inform efforts to promote veterans' post‐military well‐being.
- Is Part Of:
- Applied psychology. Volume 13:Issue 2(2021)
- Journal:
- Applied psychology
- Issue:
- Volume 13:Issue 2(2021)
- Issue Display:
- Volume 13, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 13
- Issue:
- 2
- Issue Sort Value:
- 2021-0013-0002-0000
- Page Start:
- 341
- Page End:
- 356
- Publication Date:
- 2021-02-17
- Subjects:
- depression -- machine learning -- readjustment -- social support -- veterans -- well‐being
Psychology, Applied -- Periodicals
Well-being -- Periodicals
Clinical health psychology -- Periodicals
Health -- Psychological aspects -- Periodicals
Psychology, Applied -- Periodicals
Electronic journals
Psychologie appliquée -- Périodiques
Bien-être -- Périodiques
616.0019 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1758-0854 ↗
http://www3.interscience.wiley.com/journal/121671227/home ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/aphw.12252 ↗
- Languages:
- English
- ISSNs:
- 1758-0846
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1576.555900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24525.xml