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Record W2114366428 · doi:10.1080/01443610802196658

Prenatal multivitamins containing folic acid do not decrease prevalence of depression among pregnant women

2008· article· en· W2114366428 on OpenAlexaff
Y. J. Cho, Jung Yeol Han, June Seek Choi, Hyun Kyong Ahn, Hyunnam Ryu, M. Y. Kim, J. H. Yang, Alejandro A. Nava‐Ocampo, Gideon Koren

Bibliographic record

VenueJournal of Obstetrics and Gynaecology · 2008
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineDepression (economics)PregnancyFamily historyHistory of depressionObstetricsLogistic regressionFolic acidGynecologyPsychiatryInternal medicineAnxiety

Abstract

fetched live from OpenAlex

Several studies have reported an association between depression and folic acid deficiency. We investigated whether intake of prenatal multivitamins containing folic acid (MVandFA) was associated with decreased rates of depression among pregnant women. A questionnaire was given to 1,314 low-risk pregnant women. Of them, 1,277 (97.2%) women completed the questionnaire. The overall prevalence of depression was 8.1%. Of 652 participants who did not take MVandFA, 9.4% had depression, whereas 6.9% of 624 women who had MVandFA had depression (p = 0.11). In a multivariate logistic regression analysis, family history of depression (adjusted OR 3.7; 95% CI 1.9-7.3) and premenstrual syndrome (adjusted OR 3.0, 95% CI 1.8-4.8) were identified as risk factors for depression during pregnancy. In conclusion, intake of MVandFA was not associated with lower rates of depression during pregnancy whereas family history of depression and personal history of premenstrual syndrome were significant risk factors.

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)0.002
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 score0.018
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.021
GPT teacher head0.275
Teacher spread0.254 · 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

Citations24
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Obstetrics and GynaecologySame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207