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Record W2143825835 · doi:10.1177/0890334408316075

The Influence of Adolescent Mothers' Breastfeeding Confidence and Attitudes on Breastfeeding Initiation and Duration

2008· article· en· W2143825835 on OpenAlexaff
Marion Mossman, Maureen Heaman, Cindy‐Lee Dennis, Margaret Morris

Bibliographic record

VenueJournal of Human Lactation · 2008
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of TorontoUniversity of ManitobaWinnipeg Regional Health Authority
Fundersnot available
KeywordsBreastfeedingMedicineConfidence intervalObstetricsHumBreast feedingFamily medicinePediatrics

Abstract

fetched live from OpenAlex

A prospective correlational study was conducted to examine the influence of adolescent mothers' breastfeeding attitudes and confidence on breastfeeding initiation and duration. A convenience sample of 100 pregnant adolescents who were contemplating breastfeeding completed the Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF) and the Breastfeeding Attitude Questionnaire (BAQ). The BSES-SF was readministered during the first week postpartum to those adolescents who initiated breastfeeding (n=84). Adolescents who were breastfeeding at the initial contact received a follow-up contact at 4 weeks postpartum. Comparisons were made between those adolescent mothers who initiated breastfeeding (n=84) and those who did not (n=16). Significantly more mothers with higher prenatal attitude scores initiated breastfeeding. Mothers with higher prenatal breastfeeding attitude scores and higher prenatal and postnatal confidence scores were more likely to continue breastfeeding to 4 weeks postpartum. Health professionals are encouraged to develop strategies to enhance breastfeeding attitudes and confidence among adolescent mothers.

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)0.010
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.311
Teacher spread0.281 · 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

Citations104
Published2008
Admission routes1
Has abstractyes

Explore more

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