9 results match your criteria: "US Military-Baylor University Graduate Program in Nutrition[Affiliation]"

Objective: Examine the relationship between nutrition knowledge, diet quality, and eating behavior among active-duty US Army Soldiers.

Methods: Cross-sectional study with data collection in February 2018 via paper surveys during the validation of the Military Eating Behavior Survey.

Results: Among 440 US Army Soldiers, nutrition knowledge was positively and significantly associated with diet quality (b = 0.

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Go for Green® Nutrition Program: Translating Evidence Into Practice.

Mil Med

May 2023

Consortium for Health and Military Performance, Department of Military and Emergency Medicine, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA.

Introduction: Go for Green® (G4G) is an evidence-based, multi-component nutrition program for military dining facilities (DFAC) to improve nutritional fitness among Service Members. The program evolved from supporting "fueling" during initial Army training into a robust intervention across all U.S.

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Weight cycling is prevalent in sports/professions with body composition standards, and has been associated with weight management behaviours that may contribute to suboptimal diet quality and weight gain. US Army Soldiers may be at increased risk of weight cycling relative to civilians due to mandated body composition standards. However, the relationship between weight cycling, weight management behaviours, BMI and diet quality among Soldiers is unknown.

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Objective: To describe the Military Eating Behavior Survey (MEBS), developed, and validated for use in military populations.

Design: Questionnaire development using a 6-phase approach that included item generation, subject matter expert review, cognitive interviewing, factor analysis, test-retest reliability testing, and parallel forms testing.

Setting: US Army soldiers were surveyed at 8 military bases from 2016 to 2019 (n = 1,561).

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Background: The Department of Defense circumference method (CM) is used to estimate percent body fat (%BF) in evaluation of health, physical fitness, appearance, and military readiness; however, the CM has not been validated in individuals with lower limb loss.

Objective: To evaluate the agreement between CM and dual-energy X-ray absorptiometry (DXA) for measuring %BF in individuals with lower limb loss.

Design: This study is part of a larger cross-sectional comparison study, and this analysis was included as a secondary objective.

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Objective: Examine associations between soldiers' eating behaviors, compliance with body composition and fitness standards, and physical performance.

Design: Cross-sectional study.

Setting: Eight Army installations.

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Introduction: Interventions that encourage good nutrition-related behaviors in the dining environment can potentially influence the health of large numbers of military personnel. Thus, the Army has studied the effectiveness of implementing nutrition education and dining facility (DFAC) changes that included healthier recipes, revised menus, and population-specific point-of-choice labeling, but successful intervention implementation largely depends on the foodservice employees' understanding, knowledge, and desire to sustain changes. This phenomenological, qualitative study aimed to better understand common barriers to the implementation and sustainment of DFAC-based nutrition interventions at two U.

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Background: In civilians, overweight and obesity are associated with emotional eating behaviors such as eating in response to stress, but this association has not been examined in Soldiers, a population with unique stressors. This cross-sectional study examined the relationship between perceived stress (PS), emotional eating (EE), and outcomes of body mass index (BMI), and failing Army body composition (BC) standards among Soldiers.

Methods: Soldiers (N = 1460, 83% male, 23.

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Background: Special Operations Forces (SOF) engage in a variety of military tasks with many producing high energy expenditures, leading to undesired energy deficits and loss of body mass. Therefore, the ability to accurately estimate daily energy requirements would be useful for accurate logistical planning.

Purpose: Generate a predictive equation estimating energy requirements of SOF.

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