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Record W4387664863 · doi:10.1097/wnf.0000000000000574

An Examination of the Relationship Between Exposure to Bisphenol A and Attention-Deficit/Hyperactivity Disorder in Children and Adolescents

2023· article· en· W4387664863 on OpenAlexaff
Saliha Baykal, Ayşin Nalbantoğlu

Bibliographic record

VenueClinical Neuropharmacology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsCBCLAttention deficit hyperactivity disorderSchedule for Affective Disorders and SchizophreniaChild Behavior ChecklistEtiologyAttention deficitPsychologySchizophrenia (object-oriented programming)PsychiatryClinical psychologyMedicinePediatrics

Abstract

fetched live from OpenAlex

OBJECTIVES: Exposure to environmental toxic agents in the prenatal and/or postnatal periods may play in the acquired development of attention-deficit/hyperactivity disorder (ADHD) in groups with genetic risks. Bisphenol A (BPA) is a widely used industrial chemical with neurotoxic effects. This study examined the relationship between exposure to BPA and clinical ADHD. METHODS: This cross-sectional, case-controlled clinical study compared 45 drug-naive children and adolescents with ADHD and 30 healthy controls in terms of serum BPA levels. Psychiatric comorbidities in the ADHD group were determined using the "Schedule for Affective Disorders and Schizophrenia for school-aged children, lifetime version." The Child Behavior Checklist (CBCL) was also administered to all participants. RESULTS: Serum BPA levels were significantly higher in the ADHD group than in the healthy control group. In addition, significant, weak positive correlation was found between BPA levels and CBCL attention and CBCL total problem scores. CONCLUSIONS: Our results show that BPA may be an environmental toxic agent with a potential role in the etiology of ADHD and particularly attention deficiency. Preventive interventions can be developed if this can be confirmed with longitudinal studies and repeated measurements.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.029
GPT teacher head0.398
Teacher spread0.369 · 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.

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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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