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Record W2596169047 · doi:10.1073/pnas.1611965114

Selective dietary supplementation in early postpartum is associated with high resilience against depressed mood

2017· article· en· W2596169047 on OpenAlexafffund
Yekta Dowlati, Arun Ravindran, Zindel V. Segal, Donna E. Stewart, Meir Steiner, Jeffrey H. Meyer

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsToronto General HospitalMcMaster UniversityUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchCampbell Family Mental Health Research InstituteCanada Research Chairs
KeywordsPostpartum depressionSadnessMedicineDepression (economics)Postpartum periodObstetricsMoodPregnancyPhysiologyPsychologyPsychiatryBiologyAnger

Abstract

fetched live from OpenAlex

Significance Postpartum blues is a healthy range of sadness that peaks on day 5 after giving birth in most women. Severe postpartum blues is a high-risk state for postpartum depression. A dietary supplement was designed to compensate for a temporary rise in a brain protein, monoamine oxidase A, which occurs on postpartum day 5. This study tested whether this dietary supplement reduces the sadness associated with the postpartum blues. Total levels of tryptophan and tyrosine in breast milk are not affected by this dietary supplement. Women received the dietary supplement over postpartum days 3–5 or received no supplement. This dietary supplement dramatically reduced the vulnerability to sadness on postpartum day 5, the peak of the postpartum blues, eliminating the prodrome of postpartum depression.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.036
GPT teacher head0.331
Teacher spread0.295 · 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".

Quick stats

Citations36
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the National Academy of Sciences→Same topicMaternal Mental Health During Pregnancy and Postpartum→French-language works237,207→