Women's Health Outcomes After Traumatic Brain Injury
Bibliographic record
Abstract
BACKGROUND: Traumatic brain injury (TBI) is a major public health problem, yet little is known about how this injury may affect long-term outcomes unique to women. This research examined the health outcomes relevant to premenopausal women 5-12 years after injury. METHODS: This was a retrospective cohort study at eight participating acute care/rehabilitation facilities. Participants were consecutive eligible women with moderate to severe TBI. A follow-up interview assessed menstrual functioning, fertility, and pregnancy experiences before and after injury as well as cervical cancer screening. Demographic variables, self-rated general and mental health, and functional limitations were also collected. Injury-related information was abstracted from health records. Female control participants recruited were matched on age, education, and geographic location. RESULTS: Of the 104 women with TBI (W-TBI), 46% experienced amenorrhea with duration of up to 60 months. Cycles became irregular for 68% of W-TBI after the injury. These findings were significantly different from those of controls. Among W-TBI, menstrual disturbances were associated with injury severity. No differences were shown between W-TBI and controls with respect to fertility, although significantly fewer W-TBI had one or more live births, and they reported more difficulties in the postpartum period than controls. W-TBI were less likely to have regular Pap smears and reported lower mental health, self-rated health, and function. CONCLUSIONS: These findings inform prognosis after TBI for women and provide evidence for long-term monitoring of health outcomes and increased support after childbirth. More research is needed in this area, particularly with respect to the neuroendocrine system.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".