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Record W7020304689

Knowledge, attitudes, and practices of breastfeeding women in Krong, Kep municipality, Cambodia / by Hilary M. Wren.

2017· dissertation· en· W7020304689 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsBreastfeedingBreastfeeding promotionChosePromotion (chess)Public healthHealth promotionAffect (linguistics)Breast feeding
DOInot available

Abstract

fetched live from OpenAlex

South-Eastern Asia has the highest levels of undernourishment among children in Asia. Cambodia remains one of the least developed and poorest countries in this region; the probability of a child dying before age five is roughly 1 in 10. Given this information, there is an international expectation that Khmer mothers of newborns initiate and maintain exclusive breastfeeding for the recommended six months. There is also a
\nconcomitant expectation that Cambodian society will provide these mothers with essential health services, education, and support systems in order to ensure that breastfeeding is a success. The purpose of this study was to;
\n1. Determine mothers? knowledge related to infant feeding.
\n2. Determine attitudes that affect mothers? decisions to initiate breastfeeding and to continue exclusive breastfeeding for the recommended six months minimum.
\n3. Determine current breastfeeding practices and to identify cultural barriers to breastfeeding.
\n4. Determine if there are existing breastfeeding promotion programs and what, if any, changes could be made to these health promotion programs to reduce the suggested barriers to breastfeeding.
\nDescriptive statistics were used to organize and summarize the information
\nobtained from a sample (n = 141) o f the population. Analysis was used first to determine whether or not a mother chose to breastfeed, and second to determine for how long a mother breastfed exclusively. Reasons why mothers chose to breastfeed or chose not to breastfeed/to discontinue breastfeeding were also analyzed. The results from the KAP study suggest most Khmer mothers have a high level of confidence regarding their breastfeeding skills. Most women are not shy to breastfeed in public and feel a strong sense of belonging to their communities. Similarly, Khmer mothers are more likely to breastfeed if they are older, well-educated, and feel supported. Likewise, a mother?s decision not to breastfeed/to discontinue breastfeeding is largely influenced by the social inequalities in her environment. The decision not to breastfeed cannot be attributed solely to any one factor yet each contributing factor is greatly compounded by the injustice of poverty. The conditions in which Cambodian mothers must make decisions for their health and the health or their children are appalling. Moreover, professional breastfeeding support programs do not exist in Krong Kep, Cambodia. Unlike in Canada where almost all women have access to many health promotion programs (Healthy Babies, Healthy Children, La Leche League, prenatal classes, etc.) mothers in Cambodia do not have this luxury. It is extremely hard for Cambodian mothers to overcome the barriers to breastfeeding without the correct support
\nand without access to culturally sensitive public health breastfeeding programs.
\nLastly, breastfeeding in Cambodia is a cultural experience between mother and child. Khmer women are experts in their own culture and health promotion programs must take a humble approach to traditional practices such as roasting and the use of traditional medicines following childbirth. Khmer mothers must not be induced to breastfeed through guilt and thus international recommendations regarding breastfeeding initiation and duration should be examined in a Cambodian context. Further research and
\nrespectful cross-cultural dialogue is needed in order to enable Khmer mothers to increase control over health based decisions in their lives and to and improve maternal and child health in Cambodia.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.041
GPT teacher head0.339
Teacher spread0.298 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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