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The association of multi-system conditions on mental health trajectories during naval deployment
Eyal Karin1, Daniel F Gucciardi2, Thomas Rigotti3
1Performance and Expertise Research Centre, School of Psychological Sciences, Macquarie University, Sydney, Australia.
Abstract:
This study seeks to enhance understanding of mental health trajectories across Navy deployments and the predictors of those trajectories by exploring a range of job design and individual-level factors. Personnel from the Royal Australian Navy were surveyed on pre-deployment, mid-deployment, and post-deployment. At pre-deployment, there were 559 (Mage = 30.19; male = 75.5%) survey responses, N = 112 survey responses could be linked at all time points (retention rate of 20.04% across all time points), and 314 personnel (56.2%) responded at least twice. Latent class growth analyses and growth mixture models were used to determine the trajectories that best fit the data. Separate models were developed for each of the mental health outcomes studied (i.e. psychological distress, perceived resilience, and perceived stress), plus a latent outcome representing a summary measure of psychological ill-health. This latent outcome, estimated as the most comprehensive assessment approach, was used to evaluate all 33 predictors. Consistent with previous work, we identified between two and four trajectories reflecting resilient/low symptom trajectories and heterogeneous symptom trajectories. There were a greater proportion of personnel in the heterogeneous symptom trajectories than identified in previous research. A key contribution of this work is the thorough comparison and ranking of factors that influence the deployment experience. We emphasize the importance of role demands and resources in determining these trajectories when compared directly to self-regulation strategies. Study findings highlight important implications for job design for military personnel during deployment and underscore the importance of adopting a holistic system approach to well-being.
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