Longitudinal analysis of psychological resilience and mental health in Canadian military personnel returning from overseas deployment.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The relationship between exposure to combat stressors and poorer postdeployment health is well documented. Still, some individuals are more psychologically resilient to such outcomes than others. Researchers have sought to identify the factors that contribute to resilience in order to inform resilience-building interventions. The present study assessed the criterion validity of a model of psychological resilience composed of various intrapersonal and interpersonal variables for predicting mental health among Canadian Forces (CF) members returning from overseas deployment. Participants included 1,584 male CF members who were deployed in support of the mission in Afghanistan between 2008 and 2010. Data on combat experiences and mental health collected through routine postdeployment screening were linked with historical data on the intrapersonal and interpersonal variables from the model. The direct and moderating effects of these variables were assessed using multiple linear regression analyses. Analyses revealed direct effects of only some intrapersonal and interpersonal resilience variables, and provided limited support for moderating effects. Specifically, results emphasized the protective nature of conscientiousness, emotional stability, and positive social interactions. However, other variables demonstrated unexpected negative associations with postdeployment mental health (e.g., positive affect and affectionate social support). Ultimately, results highlight the complexities of resilience, the limitations of previous cross-sectional research on resilience, and potential targets for resilience-building interventions. Additional longitudinal research on the stability of resilience is recommended to build a better understanding of how resilience processes may change over time and contribute to mental health after adverse experiences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it