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Record W4405885534 · doi:10.1186/s13006-024-00694-1

The role of paternal support in breastfeeding outcomes: a meta-analytic review

2024· review· en· W4405885534 on OpenAlexaboutno aff
Sisi Zhou, Jia Lu, An Qin, Yang Wang, Wei Gao, Haipeng Li, Li Rao

Bibliographic record

VenueInternational Breastfeeding Journal · 2024
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
FundersSchool of Medicine, Shanghai Jiao Tong UniversityShanghai Jiao Tong University
KeywordsBreastfeedingMedicinePsychological interventionChild healthNursingFamily medicinePediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: The advantages of breastfeeding for maternal and child health have been widely acknowledged on an international scale. However, there is a paucity of research regarding the effectiveness of paternal support in breastfeeding. This study aimed to systematically review the impact of paternal support interventions on breastfeeding and to contribute additional evidence to inform current breastfeeding practices. METHODS: A systematic search was conducted across multiple databases, including China National Knowledge Infrastructure (CNKI), Wanfang Data, the VIP Database, the Chinese Biomedical Literature Service System (SinoMed), PubMed, EMBASE, the Cochrane Library, and Web of Science, for randomized controlled trials (RCTs) related to breastfeeding and paternal support interventions, covering the period from the inception of the databases to June 2024. In accordance with the predefined inclusion and exclusion criteria, two researchers independently screened the literature and performed a meta-analysis via RevMan 5.4.1 software. The choice between fixed or random effects models was determined by the outcomes of the heterogeneity test, and relative risks (RR) along with 95% confidence intervals (CI) were computed. RESULTS: A comprehensive search yielded 3065 studies, of which eight were included in the meta-analysis. These studies involved a total of 2531 participants, with 1306 in the intervention group and 1225 in the control group. The studies conducted across the United Kingdom, Australia, Canada, and China encompassed a variety of interventions, including breastfeeding education, consultations led by specialists, distribution of informational materials, utilization of educational media, facilitation of interactive discussions, provision of online support through phone or WeChat, dissemination of public account messages, training in breastfeeding techniques, postpartum social support, and guidance on maternal and newborn care. The meta-analysis results indicated that the rate of exclusive breastfeeding was significantly higher in the intervention group compared to the control group at various time points: within one week postpartum (RR 1.28; 95% CI 1.16, 1.42); at 30-42 days postpartum (RR 1.12; 95% CI 1.02, 1.23); and at three months postpartum (RR 1.35; 95% CI 1.21, 1.50). These findings suggest that paternal support interventions effectively enhance breastfeeding practices. CONCLUSIONS: The findings suggest that current evidence supports the efficacy of paternal support interventions in both the initiation and maintenance of breastfeeding.

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)0.018
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.046
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0160.035
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.088
GPT teacher head0.411
Teacher spread0.323 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations30
Published2024
Admission routes1
Has abstractyes

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