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Record W2253622974 · doi:10.1089/cap.2015.0063

Prevalence and Correlates of Disruptive Mood Dysregulation Disorder Among Adolescents with Bipolar Disorder

2016· article· en· W2253622974 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Child and Adolescent Psychopharmacology · 2016
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreUniversity of Toronto
Fundersnot available
KeywordsBipolar disorderSchedule for Affective Disorders and SchizophreniaConduct disorderPsychiatryPsychologyMoodMood disordersGlobal Assessment of FunctioningLogistic regressionBipolar I disorderPopulationFamily historyAttention deficit hyperactivity disorderClinical psychologyBipolar II disorderMedicineSchizophrenia (object-oriented programming)Internal medicineManiaAnxiety

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to examine the prevalence and correlates of disruptive mood dysregulation disorder phenotype (DMDDP) in a clinical population of adolescents with bipolar disorder (BD). METHODS: DMDD criteria were modified and applied to a sample of 116 adolescents with BD-I (n = 30), BD-II (n = 46) or BD-not otherwise specified (NOS) (n = 40) from a tertiary teaching hospital. Diagnoses were determined via the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Aged Children, Present and Lifetime version (KSADS-PL). Diagnostic and Statistical Manual of Mental Disorders (DSM-5) DMDD Criteria A-G were derived from the KSADS oppositional defiant disorder (ODD) screening interview and supplement, as well as narrative summaries. Chi-square analyses or t tests (p < 0.05) were conducted as appropriate, followed by logistic regression. P values were adjusted using the false discovery rate (FDR) approach. RESULTS: DMDDP criteria could not be determined for 8 adolescents because of missing data from the ODD supplement. Twenty-five percent of the remainder (27/108) met criteria for DMDDP. DMDDP was not associated with BD subtype or with family history of BD. In univariate analyses, after controlling for age, sex, and race, DMDDP was associated with lower functioning, increased family conflict, assault history, and attention deficit and/or hyperactivity disorder (ADHD) (FDR adjusted p values: <0.0001, < 0.0001, 0.007, and 0.007, respectively). Lifetime substance use disorder and medication use approached significance (adjusted p = 0.05). In logistic regression, DMDDP was independently associated with greater parent-reported family conflict (odds ratio [OR] 1.17; confidence interval [CI- 1.06-1.30; p = 0.001) and greater functional impairment (OR 0.89; CI 0.82-0.97; p = 0.006). DMDDP was also associated with a threefold increase in ADHD, although ADHD was only marginally significant (OR 3.3; CI 0.98-10.94; p = 0.05). CONCLUSIONS: Despite the positioning of DMDD as phenotypically and biologically distinct from BD, these phenotypes commonly overlap in clinical settings. This overlap is not explained by BD-NOS or by nonfamilial BD. The association of ADHD with DMDDP in this sample draws into question whether arousal symptoms should have been retained as originally elaborated in the severe mood dysregulation phenotype. Strategies to mitigate the excessive functional impairment of this comorbidity are warranted.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.258
Teacher spread0.253 · 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