Cumulative childhood trauma and life satisfaction in men: The role of complex posttraumatic stress and its dimensions
Bibliographic record
Abstract
BACKGROUND: Cumulative childhood interpersonal trauma (CCIT) a represents an endemic phenomenon with lasting and harmful effects. However, male victimization remains overlooked and even taboo. Complex post-traumatic stress disorder (C-PTSD) is increasingly recognized as a crucial factor in understanding the long-term impact of CCIT on well-being. OBJECTIVE: This study aimed to examine the role of C-PTSD and its specific dimensions of symptoms in the relationship between CCIT and life satisfaction in a clinical sample of men seeking mental health services. PARTICIPANTS AND SETTING: Data were collected from 399 men who sought help from a community organization due to psychological distress. METHODS: Upon admission, participants completed validated measures assessing CCIT, C-PTSD, and life satisfaction. A path analysis was conducted to investigate the contribution of the different dimensions of C-PTSD in the link between CCIT and life satisfaction. RESULTS: According to the thresholds of the questionnaires, 34.1 % of participants met the criteria for PTSD, 23.8 % met the diagnostic criteria for C-PTSD, and 52.4 % reported being dissatisfied with their lives. Path analysis results indicated that two dimensions of C-PTSD significantly mediated the relationship between CCIT and life satisfaction: negative self-concept (β = -0.110, p = .000; 95 % CI [-0.070, -0.160]) and interpersonal disturbances (β = -0.075, p = .001; 95 % CI [-0.036, -0.123]). The model explained 33.5 % of the variance in life satisfaction. CONCLUSIONS: The findings highlight the central role of C-PTSD symptoms, particularly in identity and relational aspects, as key mechanisms related to adaptation. These results support the implementation of trauma-sensitive practices that address survivors' identity and relational disturbances to better meet the needs of male survivors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".