Literature DB >> 19008738

Negative affect predicts posttraumatic stress symptoms in Brazilian volunteer United Nations peacekeepers in Haiti.

Wanderson F Souza1, Ivan Figueira, Mauro V Mendlowicz, Eliane Volchan, Ana C Mendonça-de-Souza, Antônio F A Duarte, Angela M Monteiro da Silva, Carla Marques-Portella, Jair J Mari, Evandro Silva Freire Coutinho.   

Abstract

Our study evaluated the relationship between positive affect (PA) and negative affect (NA) traits on the development of posttraumatic stress symptoms (PTSS) among peacekeepers. A longitudinal study with 138 army personnel deployed to a peacekeeping mission in Haiti was conducted. An instrument for measuring PA and NA traits was used before deployment. PTSS, indexed by posttraumatic stress disorder Checklist--Military Version (PCL-M) and frequency of stressful situations were measured after return. Regression analysis showed that both NA and number of stressful situations contributed toward increasing PCL-M scores (Adjusted R = 0.25; p < 0.001). We also found that NA traits interact with intensively stressful situations enhancing the occurrence of PTSS (Adjusted R = 0.32; p < 0.001). These findings suggest that NA traits are an important predictor for PTSS among peacekeepers and also worsen the consequences of being exposed to stressful situations.

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Year:  2008        PMID: 19008738     DOI: 10.1097/NMD.0b013e31818b4682

Source DB:  PubMed          Journal:  J Nerv Ment Dis        ISSN: 0022-3018            Impact factor:   2.254


  2 in total

1.  Are personnel with a past history of mental disorders disproportionately vulnerable to the effects of deployment-related trauma? A cross-sectional study of Canadian military personnel.

Authors:  Peter J H Beliveau; Hugues Sampasa-Kanyinga; Ian Colman; Mark A Zamorski
Journal:  BMC Psychiatry       Date:  2019-05-22       Impact factor: 3.630

2.  Relationship between higher education teachers' affect and their psychological adjustment to online teaching during the COVID-19 pandemic: an application of latent profile analysis.

Authors:  Weixing Zou; Xiangmei Ding; Lingping Xie; Hongli Wang
Journal:  PeerJ       Date:  2021-11-03       Impact factor: 2.984

  2 in total

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