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Record W2318107438 · doi:10.1515/ijamh.2010.22.4.547

Is it possible to study sleep patterns in adolescent borderline personality disorder? An actigraphic feasibility study

2010· article· en· W2318107438 on OpenAlexaff
Christophe Huỳnh, Jean-Marc Guilé, Jean‐Jacques Breton, Lyne Desrosiers, Doron Cohen, Roger Godbout

Bibliographic record

VenueInternational Journal of Adolescent Medicine and Health · 2010
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsHôpital Rivière-des-Prairies
Fundersnot available
KeywordsActigraphyBorderline personality disorderMoodSuicidal ideationPopulationClinical psychologyPsychiatryImpulsivityPsychologySleep diaryPersonalityMedicinePoison controlInsomniaInjury preventionMedical emergency

Abstract

fetched live from OpenAlex

Borderline Personality Disorder (BPD) is characterized by severe instability in mood, impulse control, relationships and sleep patterns, alongside with mild cognitive disturbances in some patients. Although research on adolescent BPD has developed over the last decade, little is known about circadian sleep-wake patterns in this population. Low compliance and cooperation frequently reported in these patients impede data collection. Therefore, research had to introduce non-invasive objective measurements such as actigraphy while minimizing attrition and resurgence of suicidal ideation. This article examined the feasibility of an actigraphic study with BPD adolescents. Eighteen BPD adolescents (13-17 years old) were recruited from a specialized outpatient mood disorders clinic and asked to wear an actigraph for nine days including two weekends. Twelve (66.7%) of the 18 BPD patients who consented kept the actigraph for an average of 11.00 days (SD: 2.04), thus completing the required 9-day period. The reasons surrounding difficulties during the experiment, such as aversive emotions during interviews, dermal irritation, fragile alliance with the research assistant, are described. The factors that contributed the most to our satisfactory compliance rate included stabilized mood before inclusion, close ties between the research and the clinical teams, rapid access to an emergency psychiatric assessment if needed.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.122
GPT teacher head0.476
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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