[Physical activity, sleep, and substance use in adults reporting a borderline personality disorder in France and Canada: An online study].
Bibliographic record
Abstract
Introduction Borderline personality disorder (BPD) is associated with many unhealthy behaviors. Psychoactive substance (alcohol and drugs) use is present in 78% of adults with BPD. Moreover, a poor sleep seems linked to the clinical profile of adults with BPD. Finally, some physical comorbid disorders like obesity, cardiovascular diseases, and diabetes are linked to physical inactivity and sedentary behaviors. However, to this day no study analyzed these behaviors in French-speaking individuals with BPD. Objectives This study's goal is to document health behaviors in adults with BPD in Canada and in France. Method This cross-sectional study consists of an online survey on the LimeSurvey platform including validated questionnaires distributed in France and Canada. To measure physical activity, we used the "Global Physical Activity Questionnaire." Insomnia was measured with the "Insomnia Severity Index." Substance use was measured with the "Alcohol, Smoking and Substance Involvement Test." Descriptive statistics (N,% and mean) are used to describe previously mentioned health behaviors. Five regression models have been realized to find the main associated variables (age, perceived social status, education level, household income, body mass index, emotional regulation difficulties, BPD symptoms, depression level, previous suicide attempts and psychotropic medication use) to health behaviors. Results A total of 167 participants (92 Canadians, 75 French; 146 women, 21 men) filled out the online survey. In this sample, 38% of Canadians and 28% of French reported doing less than 150 minutes of physical activity weekly. Insomnia affected 42% of Canadians and 49% of French. Tobacco use disorder affected 50% of Canadians and 60% of French. Alcohol use disorder affected 36% of Canadians and 53% of French. Cannabis use disorder affected 36% of Canadians and 38% of French. All tested variables were linked to physical activity (R² = 0.09). Insomnia was only linked with BPD symptoms (R² = 0.24). Tobacco use disorder was linked to social status and alcohol use disorder (R² = 0.13). Alcohol use disorder was linked to social status, body mass index, tobacco use disorder, and depression (R² = 0.16). Finally, cannabis use disorder was linked to age, body mass index, tobacco use disorder, depression, and past suicide attempts (R² = 0.26). Conclusion These results are essential to design health prevention interventions in French-speaking adults with BPD in Canada and in France. They help identify the main factors associated with these health behaviors.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".