Navigating the shadows: the impact of mindfulness, cognitive fusion, and coping strategies on psychological distress among mental health workers in Timor Leste
Bibliographic record
Abstract
BACKGROUND: Mental health workers in post-conflict settings such as Timor Leste face distinct stressors stemming from limited human resources, underdeveloped systems, and ongoing socio-political instability, all of which increase the risk of psychological distress among these professionals. Consequently, constructs such as mindfulness, cognitive fusion, and coping strategies are essential not only theoretically significant, but also serve as practical targets for strengthening mental resilience of these professionals in these high-burden environments. This study aims to investigate the relationships between mindfulness, cognitive fusion, coping strategies, and psychological distress (depression, anxiety, and stress) among mental health workers in Timor Leste. METHODS: A cross-sectional study design was employed, involving a convenience sample of 37 mental health workers from PRADET and the national referral hospital in Dili. Mindfulness was assessed using the Toronto Mindfulness Questionnaire (TMQ), psychological flexibility using the Acceptance and Action Questionnaire (AAQ-II), cognitive fusion was measured using the Cognitive Fusion Questionnaire (CFQ), and coping strategies were evaluated using the DBT-Ways of Coping Checklist (DBT-WCCL). Depression, anxiety, and stress were measured using the Depression Anxiety Stress Scales (DASS-21). All scales were using English validated versions. Descriptive statistics, Pearson correlation coefficients, and multiple regression analyses were used to analyze the data. RESULTS: Significant positive correlations were found between Depression and Anxiety (Spearman's rho = 0.649, p < 0.001), and between Depression and Stress (Spearman's rho = 0.753, p < 0.001). Depression was also significantly correlated with Cognitive Fusion (Spearman's rho = 0.445, p = 0.006) and Blaming Others (Spearman's rho = 0.422, p = 0.009), and negatively correlated with Coping Strategies (Skills Use) (Spearman's rho =- 0.341, p = 0.039). Anxiety and Stress were highly correlated (Spearman's rho = 0.855, p < 0.001), and both were significantly associated with Cognitive Fusion, General Dysfunctional Coping, and Blaming Others. Mindfulness (De-Centering) showed a strong positive correlation with Mindfulness (Curiosity) (Spearman's rho = 0.770, p < 0.001), and was also weakly associated with General Dysfunctional Coping (Spearman's rho = 0.343, p = 0.038). Overall, the results suggest that higher levels of depression, anxiety, and stress are linked to greater cognitive fusion and dysfunctional coping, while effective coping skills are negatively associated with depression. CONCLUSION: The findings highlight the critical roles of cognitive fusion and coping strategies in predicting psychological distress among mental health workers in Timor Leste. Cognitive fusion and dysfunctional coping strategies were associated with higher levels of depression, anxiety, and stress. Adaptive coping strategies, such as skills use, were linked to lower levels of depression. Given the high risk of vicarious trauma, compassion fatigue, and secondary traumatic stress disorder in this population, targeted interventions promoting mindfulness and adaptive coping skills are essential. Addressing these factors can enhance resilience and well-being among mental health professionals, ultimately improving the quality of care provided to their clients.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".