Suchergebnisse

Military personnel may be exposed to circumstances (e.g., large energy deficits, sleep deprivation, cognitive demands, and environmental extremes) of external stressors during training and combat operations (i.e., operational stressors) that combine to degrade muscle protein. The loss of muscle protein is further exacerbated by frequent periods of severe energy deficit. Exposure to these factors results in a hypogonadal state that may contribute to observed decrements in muscle mass. In this review, lessons learned from studying severe clinical stressed states and the interventions designed to mitigate the loss of muscle protein are discussed in the context of military operational stress. For example, restoration of the anabolic hormonal status (e.g., testosterone, insulin, and growth hormone) in stressed physiological states may be necessary to restore the anabolic influence derived from dietary protein on muscle. Based on our clinical experiences, restoration of the normal testosterone status during sustained periods of operational stress may be advantageous. We demonstrated that in severe burn patients, pharmacologic normalization of the anabolic hormonal status restores the anabolic stimulatory effect of nutrition on muscle by improving the protein synthetic efficiency and limiting amino acid loss from skeletal muscle. Furthermore, an optimal protein intake, and in particular essential amino acid delivery, may be an integral ingredient in a restored anabolic response during the stress state. Interventions which improve the muscle net protein balance may positively impact soldier performance in trying conditions.

OBJECTIVES: The Dietary Guidelines for Americans 2015–2020 indicate that potassium, choline, magnesium, calcium, vitamins A, D, E, and C are underconsumed (i.e., shortfall) micronutrients. Intakes of specific performance-related micronutrients (i.e., calcium, magnesium, folate, choline, iron, zinc, and vitamins A, D, E, B1, B2, B3, and B12), may also be a concern, as suboptimal intakes may limit adaptations to unaccustomed physical training, such as initial military training (IMT). Protein-containing foods are nutrient-dense; therefore, dietary protein intake may alter the amount of shortfall and performance-related micronutrients habitually consumed. This study explored associations between dietary protein (PRO) intake and shortfall or performance-related micronutrient intakes at IMT accession. METHODS: A 3-month food frequency questionnaire was used to estimate habitual dietary intake in male (n = 276, age: Mean (SD), 21.1 (3.8)) and female (n = 254, age: 21.2 (3.7)) recruits. Multivariate-adjusted MANCOVA and ANCOVA models were used to identify associations between quartiles of PRO intake and shortfall micronutrients or performance-related micronutrients. Models were adjusted for age, sex, ethnicity, race, physical activity, energy density, and total energy intake. RESULTS: Mean (SE) energy-adjusted PRO intakes were 29.3 (3.2), 36.0 (1.4), 40.8 (1.3), and 47.7 (3.9) g/1000 kcal for quartiles 1–4, respectively. Composite shortfall micronutrient intake differed (P < 0.001) by PRO quartile, as intake of each micronutrient, except vitamin C, progressively increased (all, P < 0.05) with increasing PRO quartiles. Similarly, composite (P < 0.001), and most individual (all, P < 0.05) performance-related micronutrient intakes, except calcium, were different across PRO quartiles. Calcium intake only differed for PRO quartile 1 and was lower than all other quartiles (P < 0.00). CONCLUSIONS: These cross-sectional data suggest that habitually consuming more protein is associated with greater intakes of ...

Objective: This study characterized habitual dietary protein intake in healthy young adults entering military service and explored whether diet protein density is associated with diet quality and micronutrient intake. Methods: An FFQ was used to estimate habitual dietary intake and calculate HEI scores in 276 males [mean(SD), age:21.1y(3.8)] and 254 females [age:21.2y(3.7)]. Multivariate-adjusted MANCOVA and ANCOVA models were used to identify associations between protein density quartiles and HEI scores and micronutrient intake. Higher HEI components scores for sodium, refined grains, and empty calories indicate lower intake; higher scores for all other components indicate higher intakes. Results: Mean(SD) energy-adjusted protein intakes were 29.3(3.2), 36.0(1.4), 40.8(1.3), and 47.9(3.9) g/1,000 kcal for protein density quartiles 1–4, respectively. For males, empty calorie scores as well as dark green and orange vegetable scores were higher in quartiles 3 and 4 than 1 and 2 (all, p < 0.05). Scores for total vegetable, dairy, and total protein foods were lower in quartile 1 vs. quartiles 2, 3, and 4 (all, p < 0.05). Sodium scores decreased as quartiles increased (p < 0.001). Total HEI, fruit, whole grains, seafood and plant protein, fatty acids, and refined grain scores did not differ. For females, total HEI, vegetable, and total protein foods scores were higher in quartiles 3 and 4 than 1 and 2 (all, p < 0.05). Empty calorie scores increased as quartile increased (p < 0.05). Dairy scores were higher in quartiles 2, 3, and 4 than 1 (p < 0.05). Whole fruit scores were lowest in quartile 1 (p < 0.05). Whole grain as well as seafood and plant protein scores were higher in quartile 4 vs. 1 (both, p < 0.05). Sodium scores decreased as quartile increased (p < 0.001). Fatty acids scores did not differ. For males and females, micronutrient intakes progressively increased across quartiles with the exception of calcium and vitamin C, (all, p < 0.05). Intakes remained nearly the same when ...