Nutrition Interventions to Improve the Military Nutrition Environment Positively Impact Service Members
Bibliographic record
Abstract
INTRODUCTION: This systematic review examines dietary interventions in the military nutrition environment (MNE) to support the health and performance of service members (SM). METHODS: Articles that implemented a dietary intervention for active duty SMs on military installations were included in this analysis (from 2010 to 2013). Of the 723 articles yielded in screening through Covidence, 6 studies qualified to be included in this review. RESULTS: Study interventions were grouped into color coding, food choice architecture, and menu modifications. All studies indicated increased nutrient intake. One study reported enhanced diet quality using the Healthy Eating Index. Two studies received positive customer feedback, and all selected studies demonstrated positive behavior modification among SM. DISCUSSION: All studies demonstrated improvement in diet-related outcomes, and behavior modification. Many barriers exist within MNE that need to be addressed to make meaningful changes. The heterogeneity in study designs and interventions poses challenges in reaching definitive conclusions. IMPLICATIONS FOR RESEARCH AND PRACTICE: These results highlight the need for a more extensive examination of the military food environment across all venue types. Replication of standardized nutrition practices throughout the diverse military landscape can further impact the health, readiness, and performance of SM.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".