Assessments of Dietary Intakes of Canadian Armed Forces Consuming Field Rations
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».