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Record W1995917802 · doi:10.1080/03004430.2014.899592

What patterns of postpartum psychological distress are associated with maternal concerns about their children's emotional and behavioural problems at the age of three years?

2014· article· en· W1995917802 on OpenAlexafffund
Karen Benzies, Richelle Mychasiuk, Suzanne Tough

Bibliographic record

VenueEarly Child Development and Care · 2014
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsPsychologyPsychological distressDevelopmental psychologyEmotional distressDistressClinical psychologyLongitudinal studyPostpartum periodPregnancyMental healthAnxietyPsychiatryMedicine

Abstract

fetched live from OpenAlex

Mothers experiencing psychological distress in the postpartum period may have difficulties parenting their children. Inconsistent and unresponsive parenting may increase the risk of later emotional and behavioural problems in children. The purpose of this study was to identify how maternal psychological characteristics cluster at eight weeks postpartum, and whether these clusters were associated with maternal-reported child emotional and behavioural problems at the age of three years, as measured by the Parents' Evaluation of Developmental Status (PEDS) questionnaire. In a longitudinal pregnancy cohort (N = 647), three clusters of postpartum psychological characteristics were identified. Contrary to expectations, mothers with the greatest psychological distress did not report concerns about their child's emotional and behavioural problems; rather, they reported concerns about global developmental delay. These findings suggest that infants of mothers experiencing postpartum psychological distress should receive additional follow-up to reduce the risk for global developmental delay.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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

Citations11
Published2014
Admission routes2
Has abstractyes

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