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Record W4414179872 · doi:10.1192/j.eurpsy.2025.663

Attention-Deficit/Hyperactivity Disorder (ADHD) In Childhood, A Warning Sign Of Bipolar Disorder?

2025· article· en· W4414179872 on OpenAlexaff
R. Tarazhi, V. Alikaj, V. Skendi

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsBipolar disorderBipolar illnessEpidemiologyAge of onsetAttention deficit hyperactivity disorderAttention deficitAttention deficit disorder

Abstract

fetched live from OpenAlex

Introduction Early-onset bipolar disorder (BD) and attention-deficit hyperactivity disorder (ADHD) have recently been the subject of a highly controversial debate, due to theories regarding the underlying pathophysiological processes and a clinical overlap of symptoms. Epidemiological data, clinical aspect, neuroimaging, neurochemical and genetic studies suggest that there may be a possible relationship between biological factors and clinical characteristics in the development of symptoms. Objectives Investigation of the prevalence of ADHD symptoms in bipolar patients compared to the control group.Investigating differences in age of onset, clinical presentation, and course of affective illness between bipolar disorder patients with childhood ADHD symptoms compared to those without childhood ADHD symptoms. Methods The study included 20 patients with bipolar disorder, hospitalized in the Psychiatric Hospital accompanied by their parents/relatives and 30 healthy controls (matched age, sex, socio-economic status) recruited through avalanche sampling in the Directorate of QSU “Mother Tereza”. The Abbreviated International Neuropsychiatric Interview (MINI) was used to identify cases with bipolar disorder or possible psychiatric pathology. The Diagnostic Interview for ADHD Adults (DIVA 2.0) was used to explore the presence of symptoms of attention deficit hyperactivity disorder (ADHD) in childhood and at the current age.Descriptive analysis in SPSS was used for data analysis. Results It resulted that 80% of bipolar patients had ADHD symptoms in childhood compared to 16.67% in the control group. The age of onset of bipolar disorder was 17.31 years earlier in the group of cases with history of ADHD in childhood compared to the age of 21.25 years in cases without ADHD in childhood. In cases with history of ADHD, 43.75% had longer duration of manic episodes/ hypomanic compared to 25% in the group of cases without childhood ADHD. The number of suicide attempts 1 or >1 was more frequent in patients with a history of ADHD (25% and 12.5 %) compared to cases without a history of ADHD (25 %). In psychotic symptoms during mania, it was found that in patients with a history of ADHD in childhood, the prevalence was higher (81.82%) compared to (50%) in those without a history of ADHD in childhood. The prevalence of adult ADHD in cases was 35% compared to controls 6.66%. Apparently, the number of cases with comorbid ADHD with impaired social/family functioning was higher compared with the group of controls with comorbid ADHD. Conclusions The associations of each clinical component of bipolar disorder with the presence or absence of ADHD in childhood were not statistically significant. However, it is worth noting that in complexity, the number of patients with more severe features of bipolar disorder is higher in cases with ADHD in childhood compared to cases without ADHD in childhood in our sample. Disclosure of Interest None Declared

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.284
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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