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Record W3109193159 · doi:10.1186/s13690-020-00506-y

Determinants of early initiation of breastfeeding in Papua New Guinea: a population-based study using the 2016-2018 demographic and health survey data

2020· article· en· W3109193159 on OpenAlexaff
Abdul‐Aziz Seidu, Bright Opoku Ahinkorah, Ebenezer Agbaglo, Louis Kobina Dadzie, Justice Kanor Tetteh, Edward Kwabena Ameyaw, Tarif Salihu, Sanni Yaya

Bibliographic record

VenueArchives of Public Health · 2020
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of OttawaGlobal Affairs Canada
Fundersnot available
KeywordsMedicineOdds ratioOddsBreastfeedingDemographyLogistic regressionConfidence intervalChildbirthPopulationCaesarean sectionPregnancyObstetricsPediatricsEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Initiation of breastfeeding after birth comes with a wide range of benefits to the child. For example, it provides the child with all essential nutrients needed for survival within the first six months of birth. This study sought to determine the prevalence and factors associated with early initiation of breastfeeding (EIB) in Papua New Guinea. METHODS: We utilized the Demographic and Health Survey data of 3198 childbearing women in Papua New Guinea. We employed descriptive and binary logistic regression analyses. We presented the results as Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR), with 95% confidence intervals (CI) signifying level of precision. Level of statistical significance was set at p < 0.05. RESULTS: Women aged 20-29 [AOR = 1.583, CI = 1.147-2.185] and those aged 30+ [AOR = 1.631, CI = 1.140-2.335] had higher odds of EIB, compared to those aged 15-19. Women from the Islands region had lower odds [AOR = 0.690, CI = 0.565-0.842] of EIB, compared to those in Southern region. Women who delivered through caesarean section had lower odds of EIB, compared to those who delivered via vaginal delivery [AOR = 0.286, CI = 0.182-0.451]. Relatedly, women who delivered in hospitals had lower odds of EIB [AOR = 0.752, CI = 0.624-0.905], compared to those who delivered at home. Women who practiced skin-to-skin contact with the baby [AOR = 1.640, CI = 1.385-1.942] had higher odds of EIB, compared to those who did not. Women who read newspaper or magazine at least once a week had lower odds of EIB [AOR = 0.781, CI = 0.619-0.986], compared to those who did not read newspaper at all. CONCLUSION: The prevalence of EIB in Papua New Guinea was relatively high (60%). The factors associated with EIB are age of the women, region of residence, mode of delivery, place of delivery, practice of skin-to-skin contact with the baby, and exposure to mass media (newspaper). To increase EIB in Papua New Guinea, these factors ought to be considered in the implementation of policies and measures to strengthen existing policies. Health providers should educate mothers on the importance of EIB.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.094
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.279
GPT teacher head0.415
Teacher spread0.136 · 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

Citations33
Published2020
Admission routes1
Has abstractyes

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