Assessments of Dietary Intakes of Canadian Armed Forces Consuming Field Rations
Bibliographic record
Abstract
Military personnel frequently encounter metabolically challenging training or deployment conditions and are known to not eat enough during these field operations. Such conditions also make it challenging to collect accurate dietary intake data using traditional dietary assessment methods. The specific objectives of this thesis were to assess energy and nutrient intakes of a convenience sample of CAF personnel consuming: 1a) home diets and; 1b) ad libitum field rations at home; 2) ad libitum field rations under different temperature conditions with strenuous activities vs. sedentary in a laboratory setting; and 3) field rations during a 5-day winter weather field exercise. Additionally, 4) a mobile tablet application for dietary assessment of military personnel was evaluated. Energy intakes were similar between home diets and from ad libitum consumption of field rations at home but CAF participantsâ had less than recommended intakes of some micronutrients. In a temperature and humidity-controlled chamber with simulated military-type tasks, energy intakes were similar between treatments of varying temperatures with strenuous physical activity in comparison with the sedentary treatment. Energy consumption did not increase during the rest of the day upon completion of the treatments. During the winter weather field exercise, participants had insufficient energy intakes in relation to their measured energy expenditures, resulting in a significant weight loss. An electronic tablet application was found to be a valid method of assessing dietary intakes from field rations. Overall, this thesis characterized home diets of a sample of CAF personnel and demonstrated that reduced energy intake is not due to ration palatability, time to prepare or eat the food in an acute setting. Using the best available dietary assessment methodologies, this thesis demonstrated that energy intakes did not increase in harsh environmental temperatures with strenuous physical activities even with ample time to eat and food prepared on request and showed that during a winter weather field exercise, participants exhibited â voluntary anorexiaâ (under-consumption of food) and weight loss, which has implications for potential impairments in performance and health of CAF personnel during longer duration deployments. Additionally, the use of mobile technology enables accurate dietary intake assessments of military personnel.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".