Pilot study testing the emotional response to physical exercise following a negative emotional induction in adults with borderline personality disorder
Bibliographic record
Abstract
Introduction Physical exercise is a well-documented treatment for individuals with mental disorder. It helps improve symptoms and functioning of these individuals. Moreover, recent studies indicated that exercise improve emotional regulation which is one of the main target in borderline personality disorder (BPD) treatment. Therefore, exercise might have important benefits in this population. However, no previous study examined this effect. Objectives This pilot study documents the facceptability of a protocol testing the effects of exercise on the response to a negative emotion in adults with BPD. Methods 28 adults with a diagnosis of BPD have been recruited in a psychiatric hospital. Participants filled several questionnaires then viewed a scene from Silence of the Lambs to induce negative emotions. They were then assigned to 20 minutes of exercise or a neutral video of 20 minutes. Affects were assessed 7 times during the protocol. Results In this sample, 9 participants reported at least equal levels of affect after the induction than before. Preliminary results show a tendency of higher response of physical exercise than control on positive affects and no participant had any adverse effect from exercise. Conclusions This pilot study was the first to test the effects of exercise on symptoms of BPD. It also informs on the best way to conduct the principal study. First, the mood induction was poor, thus it will be changed for a stronger induction strategy. Then, the control intervention will be a placebo exercise. These modifications will enable a better understanding of the effects of exercise on emotion regulation with BPD population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".