KNOWLEDGE AND PRACTICE OF MOTHERS OF UNDER FIVE YEARS CHILDREN REGARDING WEANING PRACTICES IN DISTRICT CHARSADDA
Bibliographic record
Abstract
Objectives Globally, malnutrition is still considered as the main determinant and is affecting early childhood growth and development. The aim of this research was to assess the knowledge, and practice of under-five-years mothers regarding weaning practices, in District Charsadda. Methods A cross-sectional study was conducted by the Department of Community Medicine, Jinnah Medical College, Peshawar; at the DHQ Hospital, District Charsadda, from April to September 2018. A total of n=129 mothers of were selected to assess the knowledge, attitude and practice regarding weaning practices. Convenience sampling technique was used. The data was collected through structured questionnaire and results were analyzed and presented in form to tables. Results Among the study participants (n=129); 60.47% were in age range of 25-35 years, 25.58% were doing job; 65.12% were illiterate, and 63.57% belonged to rural setup. Approximately, 79.84% were practicing weaning, 86.04% started weaning at 4 to 6 months, 37.21% continued weaning for 2 years, 53.49% gave mixed weaning food, 17.05% Kitchree/ Rice, 19.38% bananas; 10.08% gave vegetables, 41.09% gave 1 to 2 times and only 27.13% gave more than 4 times weaning food per day. Conclusion It was concluded that mothers had average knowledge, a positive attitude and were following adequate weaning practices. Moreover, mother’s age, education status, and rural-urban setup greatly affect the knowledge, attitude and practice of mothers regarding weaning practices. Thus needed to interventions from the relevant sectors to increase the knowledge of mothers regarding weaning practices so to avoid morbidity and mortality among under five year’s children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".