Delivering an action agenda for nutrition interventions addressing adolescent girls and young women: priorities for implementation and research
Bibliographic record
Abstract
Adolescent nutritional behaviors are assuming considerable importance in nutrition interventions given their important relationships with medium- and long-term outcomes. This is the period when young people undergo major anatomical and physiological maturational changes in preparation for adulthood. Nutritional requirements during puberty are higher during adolescence than during the prepubertal stage and during adulthood. A significant proportion of adolescents also become parents, and hence the importance of their health and nutritional status before as well as during pregnancy has its impact on their own health, fetal well-being, and newborn health. In this paper, we describe the evidence-based nutrition recommendations and the current global guidance for nutrition actions for adolescents. Despite the limitations of available information, we believe that a range of interventions are feasible to address outcomes in this age group, although some would need to start earlier in childhood. We propose packages of preventive care and management comprising nutrition-specific and nutrition-sensitive interventions to address adolescent undernutrition, overnutrition, and micronutrient deficiencies. We discuss potential delivery platforms and strategies relevant to low- and middle-income countries. Beyond the evidence synthesis, there is a clear need to translate evidence into policy and for implementation of key recommendations and addressing knowledge gaps through prioritized research.
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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 | 0.074 | 0.094 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.006 | 0.013 |
| Research integrity | 0.019 | 0.021 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".