Social support and (complex) posttraumatic stress symptom severity: does gender matter?
Bibliographic record
Abstract
Background: Perceived social support is an established predictor of post-traumatic stress disorder (PTSD) after exposure to a traumatic event. Gender is an important factor that could differentiate responses to social support, yet this has been little explored. Symptoms of complex PTSD are also common following trauma but have been under-researched in this context. Large scale studies with culturally diverse samples are particularly lacking.Objectives: In a multi-country sample, we examined: (a) gender differences in perceived social support and both posttraumatic stress symptom severity (PTSS) and complex posttraumatic stress symptom severity (CPTSS); (b) associations between social support and PTSS/CPTSS; and (c) the potential moderating role of gender in the relationship between perceived social support and trauma-related distress.Method: A total of 2483 adults (Mage = 30yrs, 69.9% females) from 39 countries, who had been exposed to mixed trauma types, completed the Multidimensional Scale of Perceived Social Support and the International Trauma Questionnaire (which captures PTSS/CPTSS). Regression analyses examined associations between gender, perceived social support, and PTSS/CPTSS; and tested for gender by social support interactions in predicting PTSS/CPTSS scores. Models were adjusted for age and socioeconomic status.Results: In our cross-country sample, females had greater PTSS/CPTSS than males (B = .23 [95% CI 0.16, 0.30], p < .001; B = .20 [0.12, 0.27], p < .001; respectively), but there was no evidence of gender differences in perceived social support (B = .05 [−0.05, 0.16], p = .33). For both genders, low perceived social support was associated with higher PTSS/CPTSS (females: B = −.16 [−0.20, −0.12], p < .001; B = −.27 [−0.30, −0.24], p < .001; respectively; males: B = −.22 [−0.29, −0.15], p < .001; B = −.31 [−0.36, −0.26], p < .001; respectively), and for PTSS only we found weak evidence that this association was stronger for males vs. females (B = .07 [0.04, 0.14, p = .04).Conclusion: Individuals who feel more socially supported have lower trauma-related distress, and this association is similar in males and females. PTSD/CPTSD interventions may benefit from augmenting perceived social support, regardless of gender.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".