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Record W4410347523 · doi:10.1111/ppe.70031

Attention‐Deficit/Hyperactivity Disorder Medication Use in Pregnancy and Risk of Preterm Birth: A Population‐Based Cohort Study

2025· article· en· W4410347523 on OpenAlexaff
Chaitra Srinivas, Øystein Karlstad, Hein Stigum, Kari Furu, Carolyn E. Cesta, Johan Reutfors, Jennifer A. Hutcheon, Jacqueline M. Cohen

Bibliographic record

VenuePaediatric and Perinatal Epidemiology · 2025
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
FundersNorges Forskningsråd
KeywordsMedicinePregnancyMethylphenidateHazard ratioAttention deficit hyperactivity disorderCohort studyAtomoxetineObstetricsConfidence intervalRelative riskPopulationPremature birthGestational agePediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Medication use during pregnancy for attention-deficit/hyperactivity disorder (ADHD) is increasing, but evidence on its safety in pregnancy for foetal health is limited, with little attention to time-related biases in observational research. OBJECTIVE: To determine the association between ADHD medication use in early and late pregnancy and the risk of preterm birth. METHODS: This population-based cohort study utilised data from national registers, including records on births, prescription medications, specialist healthcare visits, hospitalisations and educational attainment, to account for relevant potential confounders. We included singleton births delivered between 22 and 44 gestational weeks among pregnant individuals with ADHD medication use in the year before conception from Norway (2009-2020) and Sweden (2007-2019). ADHD medications (amphetamine, dexamphetamine, methylphenidate, atomoxetine, lisdexamfetamine and guanfacine) were assessed during early (conception to 21 gestational weeks) and late pregnancy (22-36 gestational weeks). The main outcome was preterm birth, defined as a live birth before 37 completed weeks of pregnancy. Risk ratios (RR) and hazard ratios (HR) with 95% confidence intervals (CI) were estimated using log-binomial regression and flexible parametric survival modelling to determine the risk of preterm birth in early and late pregnancy, respectively. RESULTS: Among 11,075 pregnancies, early pregnancy ADHD medication use was associated with higher preterm birth risk with ≥ 2 filled prescriptions (aRR 1.29, 95% CI 1.08, 1.53), but not as ≥ 1 prescription (aRR 1.08, 95% CI 0.93, 1.25). Any medication use in late pregnancy increased preterm birth risk (aHR 1.15, 95% CI 0.95, 1.39). For every 30 days of cumulative exposure to ADHD medication, the risk of preterm birth increased in late pregnancy (aHR 1.07, 95% CI 1.02, 1.12), but not in early pregnancy (aHR 1.01, 95% CI 0.97, 1.05). CONCLUSIONS: ADHD medication may modestly increase the risk of preterm birth, especially with atomoxetine early and methylphenidate late in pregnancy, and with longer durations of use.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.008
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.032
GPT teacher head0.336
Teacher spread0.303 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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