Frequency of Borderline Personality Disorder in a Sample of French High School Students
Bibliographic record
Abstract
OBJECTIVE: To estimate the frequency of borderline personality disorder (BPD) in French high school students. METHOD: A random sample of high school students (n = 1363) ranging in age from 13 to 20 years agreed to complete a questionnaire, the Screening Test for Comorbid Personality Disorders (STCPD); 107 of them volunteered to be interviewed. We assessed this group using the Revised Diagnostic Interview for Borderlines (DIB-R). We conducted a regression analysis to determine a cut-off for BPD diagnosis with the STCPD. RESULTS: We estimated the overall frequency of BPD to be 10% for boys and 18% for girls. After a peak of frequency at age 14 years for both sexes, the frequency increased significantly again in late adolescence. CONCLUSION: This study found a high frequency of BPD in French adolescents, which adds to questions regarding the validity of diagnosing this disorder in adolescents.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".