Self-Reported Mild Traumatic Brain Injuries in Relation to Rumination and Depressive Symptoms: Moderating Role of Sex Differences and a Brain-Derived Neurotrophic Factor Gene Polymorphism
Bibliographic record
Abstract
OBJECTIVE: Mild traumatic brain injuries (mTBIs) have frequently been associated with the emergence and persistence of depressive symptoms. However, the factors which contribute to the increased risk for depression after these head injuries remain unclear. Accordingly, we examined the relationship between frequency of self-reported mTBIs and current symptoms of depression and the mediating role of rumination and cognitive flexibility. We also examined whether these relations were moderated by sex differences and the presence of the Val66Met polymorphism in a gene coding for brain-derived neurotrophic factor (BDNF). DESIGN: Retrospective, cross-sectional. SETTING: Carleton University. PARTICIPANTS: Two hundred nineteen Carleton University undergraduate students. MAIN OUTCOME MEASURES: Cognitive flexibility as assessed by the Wisconsin Card Sorting Task (WCST); subtypes of rumination (Ruminative Response Scale; Treynor, Gonzalez, and Nolen-Hoeksema, 2003); depressive symptoms (Beck Depression Inventory; Beck, Ward, and Mendelson, 1961). RESULTS: Greater frequency of self-reported mTBIs was associated with more frequent depressive rumination among women, but not men, which was accompanied by elevated current depressive symptoms. In addition, among Met allele carriers of the BDNF polymorphism, but not those who were Val homozygotes, greater frequency of mTBIs was related to higher levels of brooding, which was accompanied by heightened depressive symptoms. Brain-derived neurotrophic factor genotype also moderated the relationship between self-reported mTBIs and cognitive flexibility in that more frequent mTBIs were associated with more perseverative errors on the WCST among Met carriers, but not Val homozygotes. CONCLUSIONS: The present findings raise the possibility that the evolution of depression after mTBIs may be dependant on a BDNF polymorphism and sex differences.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".