Breastfeeding and workplace support in Nepal
Bibliographic record
Abstract
Working mothers encounter numerous challenges in exclusively breastfeeding their children despite overwhelming evidence of its benefits. This study examines exclusive breastfeeding (EBF) practices among employed mothers in Nepal, focusing on workplace support factors including maternity leave duration, flexible work schedules, task adjustments, breastfeeding policies, availability of lactation rooms, and dissemination of organizational support information. A cross-sectional study was conducted in Nepal among employed mothers with children under two years old. A self-administered online questionnaire was used to gather data from 201 mothers, and the results were analyzed using SPSS 16. EBF prevalence among employed mothers was 37.8%, with 76.4% identifying their return to work as the primary reason for discontinuing EBF. Only 18.9% of workplaces had designated rooms for breastfeeding, but such spaces increased the likelihood of EBF by 11.6 times (COR: 11.6; 95% CI: 4.7 - 28.2). Furthermore, task adjustment increased EBF by four times (COR: 4.2; 95% CI: 2.2 - 7.8). Maternity leave, combined with breastfeeding-friendly workplaces, significantly promotes EBF practices among working mothers in Nepal.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".