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Record W4318317823 · doi:10.1111/aogs.14516

Association of postpartum medication practices with early breastfeeding cessation among mothers with chronic conditions: A prospective cohort study

2023· article· en· W4318317823 on OpenAlexafffundabout
Natalie V. Scime, Amy Metcalfe, Alberto Nettel‐Aguirre, Suzanne Tough, Kathleen H. Chaput

Bibliographic record

VenueActa Obstetricia Et Gynecologica Scandinavica · 2023
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversity of Calgary
FundersAlva Foundation
KeywordsMedicineBreastfeedingProspective cohort studyObstetricsCohort studyPregnancyCohortBreast feedingAssociation (psychology)Postpartum periodPediatricsFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Use of medications is a common concern for breastfeeding women, particularly when they are strongly needed or unavoidable to manage maternal chronic conditions. Yet the influence of medication usage patterns on breastfeeding duration in mothers with chronic conditions is unclear. The objective of this study was to examine whether postpartum medication practices were associated with shorter breastfeeding duration or earlier than planned breastfeeding cessation among mothers with chronic conditions. MATERIAL AND METHODS: We analyzed 346 mothers with chronic conditions enrolled in a prospective, community-based pregnancy cohort study (Alberta, Canada) who initiated breastfeeding after birth. Data were collected through self-report questionnaires spanning late pregnancy to 6 months postpartum. Based on reported use of preexisting medications while breastfeeding, women were classified as continuing medications (reference group), discontinuing one or more medications, or those who did not use preexisting medications. Cox proportional hazards regression was used to analyze the association of medication practices and overall breastfeeding duration in weeks. Logistic regression was used to analyze the association of medication practices and earlier than planned breastfeeding cessation. Multivariable models adjusted for demographic and health-related factors. RESULTS: Overall, 30.6% of women with chronic conditions stopped breastfeeding in the first 6 months, almost all of whom did so earlier than planned. In multivariable models, medication discontinuation was significantly associated with shorter breastfeeding duration (adjusted hazard ratio [HR] 1.67, 95% confidence interval [CI] 1.03-2.70) and earlier than planned breastfeeding cessation (adjusted odds ratio [OR] 1.85, 95% CI 1.01-3.42), whereas medication non-use was not associated with differences in breastfeeding outcomes. CONCLUSIONS: Women with chronic conditions who discontinued preexisting medications while breastfeeding had significantly shorter breastfeeding duration and were less likely to meet their breastfeeding goals in the first 6 months postpartum compared to women who continued preexisting medications.

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 score0.011
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.304
Teacher spread0.288 · 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

Citations18
Published2023
Admission routes3
Has abstractyes

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