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No evidence of attentional deficits in stabilized bipolar youth relative to unipolar and control comparators

2003· article· en· W1979092758 on OpenAlexafffund
Heather Robertson, Stan Kutcher, Diane C. Lagace

Bibliographic record

VenueBipolar Disorders · 2003
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
FundersIWK Health CentreCanadian Psychiatric Research Foundation
KeywordsPsychologyBipolar disorderAttentional controlWisconsin Card Sorting TestAudiologyCognitionClinical psychologyPsychiatryDevelopmental psychologyNeuropsychologyMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to determine the presence or absence of attentional problems and prior diagnosis of ADHD in a cohort of stabilized bipolar I relative to unipolar and normal control. METHOD: Indices of attention were obtained from bipolar (n = 44), unipolar (n = 30), and normal controls (n = 45). Measures included: Freedom from Distractibility (FD) Composite Index of the WISC III, Conners' Continuous Performance Test (CPT), Wisconsin Card Sorting Test (WCST), and a checklist measure of subjective cognitive/attentional problems (SIP-AV). RESULTS: Bipolar (6.8%), unipolar (10%), and no control youth report a prior diagnosis of ADHD. No significant group or sex differences were observed on FD Composite Index, various CPT indices, or the WCST. Despite normative attentional function by objective testing, subjectively experienced cognitive problems in the clinical probands were reported. CONCLUSIONS: This cohort of well-functioning bipolar youth diagnosed on average 3-4 years prior to assessment do not possess attentional deficits based on a variety of objective tests compared to unipolar or control youth, but self report subjective difficulties in attentional/problem solving ability. In contrast to other authors, we do not find that bipolar youth have high rates of comorbid ADHD.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.276
Teacher spread0.252 · 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

Citations44
Published2003
Admission routes2
Has abstractyes

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