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Association of Antidepressant Medication Use During Pregnancy With Intellectual Disability in Offspring

2017· article· en· W2735885455 on OpenAlex
Alexander Viktorin, Rudolf Uher, Alexander Kolevzon, Abraham Reichenberg, Stephen Z. Levine, Sven Sandin

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJAMA Psychiatry · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsDalhousie University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCanadian Institutes of Health Research
KeywordsPregnancyAntidepressantOffspringMedicinePopulationSerotonin reuptake inhibitorPsychiatryConfoundingDepression (economics)Cohort studyAnxietyCohortPediatricsObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Importance: Maternal antidepressant medication use during pregnancy has previously been associated with adverse outcomes in offspring, but to our knowledge, the association with intellectual disability (ID) has not been investigated. Objectives: To examine the association of maternal antidepressant medication use during pregnancy with ID in offspring and investigate the importance of parental mental illness for such an association. Design, Setting, and Participants: A population-based cohort study of 179 007 children born from January 1, 2006, through December 31, 2007, with complete parental information from national registers who were followed up from birth throughout 2014. Main Outcomes and Measures: We estimated relative risks (RRs) and 95% CIs of ID in children exposed during pregnancy to any antidepressant medication or specifically to selective serotonin reuptake inhibitor (SSRI) antidepressants, all other non-SSRI antidepressants, or other nonantidepressant psychotropic medications. Analyses were adjusted for potential confounders. In addition to full population analyses, we used a subsample to compare mothers who used antidepressants during pregnancy with mothers who had at least one diagnosis of depression or anxiety before childbirth but did not use antidepressants during pregnancy. Results: Of the 179 007 children included in the study (mean [SD] age at end of follow-up, 7.9 [0.6] years; 92 133 [51.5%] male and 86 874 [48.5%] female), ID was diagnosed in 37 children (0.9%) exposed to antidepressants and in 819 children (0.5%) unexposed to antidepressants. With adjustment for potential confounders, the RR of ID after antidepressant exposure was estimated at 1.33 (95% CI, 0.90-1.98) in the full population sample and 1.64 (95% CI, 0.95-2.83) in the subsample of women with depression. Results from analyses of SSRI antidepressants, non-SSRI antidepressants, and nonantidepressant psychotropic medications and analyses in the clinically relevant subsample did not deviate from the full-sample results. Conclusions and Relevance: The unadjusted RR of ID was increased in offspring born to mothers treated with antidepressants during pregnancy. After adjustment for confounding factors, however, the current study did not find evidence of an association between ID and maternal antidepressant medication use during pregnancy. Instead, the association may be attributable to a mechanism integral to other factors, such as parental age and mother's psychiatric disorder.

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 score0.015
Threshold uncertainty score0.361

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 head0.019
GPT teacher head0.296
Teacher spread0.277 · 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