Identifying Nutrition and Health-Relevant Behaviors, Beliefs, and Values of School-Going Adolescent Girls in Rural Bangladesh: Context for Interventions
Bibliographic record
Abstract
BACKGROUND: Focusing on adolescent schoolgirls in rural Bangladesh, this study aimed to describe the nutrition-relevant context required for effective intervention planning. It included attention to dietary behaviors, daily schedules and activities, and girls' beliefs and values. We placed a special emphasis on iron because anemia has been identified as a significant problem in adolescent girls in Bangladesh. OBJECTIVES: The study was undertaken to inform a larger project to develop a replicable model for integrating nutrition activities into the multiple social programs in BRAC, a large nongovernmental service delivery organization in Bangladesh. METHODS: = 23). Interview modules included sociodemographic information; a qualitative 24-h dietary recall; respondents' concepts of "health," "healthy foods," and "anemia"; exposure to nutrition messages and ratings of their importance and feasibility; and actions to maintain health. In phase III, ratings and other data were collected systematically from a separate sample of 20 adolescent girls. Analyses included thematic analysis of transcribed and translated text and quantitative analysis of numeric data. RESULTS: Key findings include evidence that school-going girls consume a variety of foods and have substantial knowledge about good health and nutrition practices. However, we also found beliefs and practices that challenge the development of nutritionally sound food practices, including iron nutrition. The study revealed the importance of teachers and mothers as information sources, and the dietary and cultural roles of purchased snacks, which occur in connection with school attendance. CONCLUSIONS: These findings, together with insights about girls' values, particularly conceptions related to "a healthy life," have implications for expanding BRAC activities to support the nutrition of adolescent school girls.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".