Evaluation of the Success of Weight Loss Programs Using the Fit for Performance Curriculum.

INTRODUCTION: Overweight and obesity rates continue to rise among U.S. Army soldiers, which impacts their overall readiness status and puts them at greater risk for musculoskeletal injury and development of chronic disease. To address the concern with obesity and ensure that Soldiers are meeting body composition standards, the Army offers Fit for Performance-Weight Loss Strategies curriculum, a program of standardized material on nutrition and physical activity presented over six 1-hour sessions. This study aimed to evaluate the success and attrition of weight loss programs using the Fit for Performance curriculum in an Army setting among TRICARE regions. MATERIALS AND METHODS: This retrospective cohort study consolidated data on participants in weight loss programs using the Fit for Performance curriculum. It examines attrition rates, weight loss, change in body mass index (BMI), factors influencing weight loss, and attrition based on geographical location. Statistical analysis was completed using R Core Team software, version 3.6.1, for t-tests, linear regression, and analysis of variance. Significance was set at P ≤ .05. This study was determined to be exempt by the Walter Reed National Military Hospital Institutional Review Board. RESULTS: In total, 8,336 U.S. Army soldiers (80% male, mean age = 26.2 ± 6.9 years) participated in the program. Attrition rates were high (96.4%). Those who attended 4-6 sessions lost significantly more weight than those who attended 1-3 sessions (0.72 kg [1.60 lbs], P < .001); however, weight lost was not clinically significant. Sex, age, and number of sessions attended influenced to the amount of weight lost, but only accounted for 4% of the variation. Among TRICARE regions there was a significant difference in attrition rates, with those in the Western (1.2 sessions, P < .001) and Overseas (1.6 sessions, P < .001) regions attending statistically fewer sessions than those in the Eastern region. CONCLUSIONS: Consistent attendance in a weight loss program promotes changes in BMI, which may improve the health of the force. However, the factors influencing these changes are unclear. The results indicate opportunities to re-examine current processes and the program elements to encourage increased or complete participation and determine if program element changes are warranted for the Fit for Performance-Weight Loss Strategies Program. Attrition rates were high, indicating opportunities to research reasons for attendance and attrition in the future. Finally, these findings highlight an opportunity for educating the military leadership on the increased success with increased attendance.

Males With Traumatic Lower Limb Loss Differ in Body Fat Distribution Compared to Those Without Limb Loss.

OBJECTIVES: The primary objective was to examine body fat composition in males with traumatic lower limb loss and a comparison group without limb loss. A secondary objective was to determine if there are differences in body fat composition by traumatic limb loss level. RESEARCH METHODS AND PROCEDURES: Cross-sectional analyses of baseline in-person intake data was completed at a large military medical center. Data were collected from 2011 to 2020, and analysis was conducted in 2020. Participants (n = 89) included males who sustained traumatic lower limb loss (n = 50) and an age-matched comparison group without limb loss (n = 39). Mean age of participants was 36.0 ± 13.2 years. Main outcomes measured included age, height, body mass index, weight, body fat mass and percent, android fat mass and percent, gynoid fat mass and percent, and android/gynoid percent fat ratio. Differences between groups were assessed using t-tests or Mann-Whitney U tests. Differences between limb loss levels were assessed using one-way ANOVA or Wilcoxon signed-rank test. RESULTS: Body fat percent (P = .001), gynoid fat percent (P = .010), android fat mass (P = .01), and percent (P = .02) were higher in the group with limb loss. There were no differences in body fat composition between limb loss levels (P > .05). CONCLUSION: Males with traumatic lower limb loss had a higher body fat percent compared to those without limb loss. Given higher body fat composition in individuals with limb loss and the relationship between body fat composition and cardiovascular disease risk, including body composition analysis with clinical screening could identify changes and allow for early intervention.

Humanitarian Mission at Home: Walter Reed National Military Medical Center's Experience in Operation Allies Refuge and Operation Allies Welcome.

Military medicine has a long history of humanitarian efforts globally, including responses to natural disasters and as planned medical civil action projects. However, ending two decades of war in Afghanistan, Walter Reed National Military Medical Center (WRNMMC) was tasked to receive up to 63 injured patients with less than 96-hour notice on August 27, 2021. As part of Operation Allies Refuge and transition to Operation Allies Welcome, this article highlights the complicated cross-organizational and multidisciplinary response at WRNMMC where ultimately 277 Afghan patients and nonmedical attendants received medical care and other requirements for resettlement. Lessons learned from coordinating the complex short suspense medical, cultural, and logistic efforts are noted as considerations and practical recommendations for future missions.

Diet-microbiome interactions in cancer treatment: Opportunities and challenges for precision nutrition in cancer.

Dietary patterns contribute to cancer risk. Separately, microbial factors influence the development of several cancers. However, the interaction of diet and the microbiome and their joint contribution to cancer treatment response needs more research. The microbiome significantly impacts drug metabolism, immune activation, and response to immunotherapy. One of the critical factors affecting the microbiome structure and function is diet. Data demonstrate that the diet and microbiome composition affects the immune response. Moreover, malnutrition is a significant confounder to cancer therapy response. There is little understanding of the interaction of malnutrition with the microbiome in the context of cancer. This review aims to address the current knowledge of dietary intake patterns and malnutrition among cancer patients and the impact on treatment outcomes. Second, this review will provide evidence linking the microbiome to cancer treatment response and provide evidence of the potentially strong effect that diet could have on this interaction. This review will formulate critical questions that will need further research to understand the diet-microbiome relationship in cancer treatment response and directions for future research to guide us to precision nutrition therapy to improve cancer outcomes.