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Record W2028550987 · doi:10.1186/1471-2393-14-232

Sociocultural influences on newborn health in the first 6 weeks of life: qualitative study in a fishing village in Karachi, Pakistan

2014· article· en· W2028550987 on OpenAlexaff
Shahirose Premji, Shaneela Khowaja, Salima Meherali, Rachelle Forgeron

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2014
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsBreastfeedingMedicineCryingPsychological interventionThematic analysisSociocultural evolutionBreast feedingFocus groupInfant mortalityReproductive medicineQualitative researchBreast milkDeveloping countryHealth careDevelopmental psychologyEnvironmental healthFamily medicinePediatricsNursingPopulationPsychologyPregnancyPsychiatryEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: Given regional variability and minimal improvement in infant mortality rates in Pakistan, this study aimed to explicate sociocultural influences impacting mothers' efforts to maintain or improve newborn health. METHODS: We used a qualitative phenomenological approach. A total of 10 mothers and 8 fathers from a fishing village in Karachi, Pakistan were purposefully sampled and interviewed individually. A focus group was undertaken with four grandmothers (primary decision makers). Transcripts were independently reviewed using interpretive thematic analysis. RESULTS: A multigenerational approach was used in infant care, but mothers did not have a voice in decision-making. Parents connected breast milk to infant health, and crying was used as cue to initiate feeding. Participants perceived that newborns required early supplementation, given poor milk supply and to improve health. There were tensions between traditional (i.e., home) remedies and current medical practices. Equal importance was given to sons and daughters. CONCLUSION: Findings suggest that social and cultural influences within families and the community must be considered in developing interventions to improve newborn health. Introducing non-breast milk substances into newborn diets may reduce the duration of exclusive or partial breastfeeding and increase risks to infant health.

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)0.000
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 score0.172
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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

Citations34
Published2014
Admission routes1
Has abstractyes

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