Work and breast milk feeding: a qualitative exploration of the experience of lactating mothers working in ready made garments factories in urban Bangladesh
Bibliographic record
Abstract
BACKGROUND: In Bangladesh 65% of children under 6 months of age were exclusively breastfed with maternal employment being a risk factor that has jeopardized exclusive breastfeeding. As Ready Made Garment (RMG) factories have been the largest employer of low income women in Bangladesh, the objective of our study was to explore the barriers and facilitators of breastfeeding and perceptions about use of expressed breast milk among mothers who worked in the RMG sector. METHODS: This formative research was conducted during July-September 2015 in two slums of Dhaka among RMG workers who were mothers and the caregivers of 0-12 month old infants. Qualitative data was obtained from purposively selected participants of 8 in-depth interviews and 4 focus group discussions (mothers and caregivers), and 2 key informant (RMG factory official) interviews. Mothers were from multiple RMG factories while factory officials were from a single factory. Thematic analysis was conducted. RESULTS: The main themes of qualitative exploration were knowledge and experience of breastfeeding; structural barriers (home and workplace); consequences of inadequate breastfeeding; and perception and experience of using expressed breast milk. Despite knowledge both of the benefits of breast milk and of the importance of breastfeeding for 6 months, most mothers introduced formula as early as 2 months to prepare for their return to work. Barriers such as excessive workload, inadequate crèche facilities at work, and lack of adequate caregivers at home impeded exclusive breastfeeding. Mothers and caregivers had very little knowledge about the use of expressed breast milk and were concerned about contamination. CONCLUSION: As RMG factories are the largest employer of low-income women in Bangladesh, facilitating RMG factory working mothers' ability to use breast milk could help to promote infant health and help women remain in the workforce.
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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 | 0.001 | 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 | 0.000 | 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".