Differences in bipolar disorder type I and type II exposed to childhood trauma: A retrospective cohort study
Why this work is in the frame
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Bibliographic record
Abstract
Background Childhood trauma (CT) exposure is associated with a more pernicious course in bipolar disorder (BD). However, few studies have reported differences between BD I and BD II regarding CT exposure. We explore the differences in the CT trajectories in bipolar disorders. Methods A retrospective cohort study of individuals with BD (BD I = 73 vs BD II = 73) was carried out. Early age at onset (EAO) and suicide ideation/behavior were used as severity outcomes. Timespan between EAO and treatment was documented and the associations between CT and comorbid alcohol used disorder (AUD), anxiety disorders (AD), and post-traumatic stress disorder (PTSD) were also described. Univariate, bivariate analyses, and a Poisson regression model with bootstrap resampling were used. Results Higher scores of CT, physical abuse (PA), and sexual abuse (SA) were statistically significant for BD II than BD I ( p < 0.001, p = 0.048, p < 0.001, respectively). Early age at onset, suicide ideation/behavior and treatment delay were associated with CT in both BD I and BD II. However, AUD and PTSD showed association with CT only for BD I. Limitations Sample size, non-comparison control group, and recall bias. Conclusions There are differences in CT subtype exposure between BD I and BD II with regards to early age onset, suicide ideation/behavior, delayed time to treatment, and comorbid mental disorders. These results claim for early access to strategies such as CT exposure screening in individuals with BD to detect possible pernicious course and improve the quality of life and clinical outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it