Knowledge, Attitude and Practice Towards Exclusive Breast Feeding Among Inhabitants of Ginjo Guduru Kebele, Jimma Town, Oromia Region, Ethiopia
Bibliographic record
Abstract
Appropriate feeding practices are fundamental importance for the survival, growth, development and health of the infant and young children. However; exclusive breastfeeding remains a challenge because of many factors. It was suggested that mother's knowledge, attitude and practice determines the effectiveness of exclusive breastfeeding. This research is a cross-sectional study aimed to assesses mother's knowledge, attitude and practice towards optimal breastfeeding among Ginjo Guduru kebele. The survey was conducted from June 29-July30, 2018, from a total of 315 mothers who had children under one (1) year age, 190 mothers were selected using simple random sampling. Structured pre-tested questionnaires, as well as the in-depth interview, was used to collect the data on the socio-economic, demographic characteristics, knowledge attitude and practice towards exclusive breastfeeding. Among mothers studied about 73.94% had good knowledge of effective breastfeeding, 63.99% of mothers had a positive attitude on effective breastfeeding, and 69.69% had a good practice of effective breastfeeding. About 24.06% of mothers had poor knowledge of effective breastfeeding, approximately 36.11% of mothers had a poor level of attitude on effective breastfeeding, and about 31.31% of mothers had a poor practice of effective breastfeeding. Health service delivery staffs Policymakers, administrators and Non-governmental organisation collaborates to draw strategies to enhance the awareness of mothers about effective breastfeeding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".