Energy Deficiency During Training Study by Beals et al. Essay (Critical Writing)

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Introduction

According to Beals, et al. (2019), the study aims to address energy deficiency during cold weather mountain training in NSW SEAL Qualification Students. In this case, the research proves how mountain Warfare and Cold Weather (MWCW) training is vital for soldiers deployed in challenging natural situations. The article’s methodological research indicates that training for long-term performance is affected by increasing the amount of energy, carbohydrate (CHO), and water needed to carry large weights and all of their meals and drinks. To effectively investigate and analyze the research topic and come up with an effective conclusion, the research adopted a mixed method, both qualitative and quantitative.

Strength in the Article Methodology

Regarding the article, various strengths were reflected in the research methodology. In this case, when it came to packing their bag, students relied on their knowledge to decide what to carry, with an average weight of 22.6 kg. An initiative called the Naval Special Warfare Injury Prevention and Performance Optimization Initiative was the impetus for the study, which was funded by the University of Pittsburgh Review Board. In this case, the strategy propelled good research outcomes. Pre-MWCW training, participants underwent a laboratory-based examination and followed a strict eating plan for around one month (basic steps) (Beals, et al., 2019). The use of the BodPod Body Composition System to determine a person’s weight and fat percentage following the manufacturer’s recommended methods also provided an opportunity to affect research outcomes (Beals, et al., 2019). The research also used a metabolic cart (Sandy, UT) and an on-the-go lactate analyzer to compute the treadmill protocol’s aerobic and lactate threshold doses (Beals, et al., 2019).

Time, distance, altitude, and minute-by-minute visualization of daily study activities were recorded on digital audio over hours using a Garmin Etrex 20 GPS, whereby the use of machines offered efficiency of data for analysis. – Training for River Crossing, Alpine Skills, and Mountain Patrol is divided into 24 hours. Using the Compendium of Physical Activity Table, we were able to quickly determine the amount of non-exercise energy expenditure (NEEE) for each subject and then assign a corresponding number of metabolic (MET) units to each subject (EEE). Visual observation, physical activity (Beals, et al., 2019), and metabolic rate (MET) variables have been utilized to determine EEE and TEEE in outdoor settings. To equally affect the outcome, the following formula was used to determine all 24-hour activity segments for each student: To calculate the overall daily cost of energy, we can use the formula EE (kcals) = MET * 3.5* Weight (kg)/200 (Bushman, 2012). (TDEE- O). The heart rate (HR) monitor (Polar USA, Lake Success, NY) was used to evaluate intensity and energy expenditure throughout the active period of each evolution.

The Automated Self-Administered 24-hour recall ASA24, National Cancer Institute, 2011 edition, collected and analyzed student food intake for the first 24 hours. Eight individuals participated in RC and MP training while their data was being gathered; two students elected not to participate. ASA24’s maximum transit error reduction is possible despite its limited 24-hour memory (Beals, et al., 2019). All meals, food, and beverages were recorded using an automated, direct pass-through technique on the day following the training transition for the study participants who got the ASA24 TM software. Age, MDRIs for males, evidence-based nutrition guidelines, and the USDA’s Diet and Nutrition Database version were used to examine dietary memory. All variables are analyzed using descriptive statistics. TDEE-O and TDEE-HR were compared utilizing paired sample studies following standardized testing (Shapiro-Wilk testing). An appropriate or single Wilcoxon level test sample was used to compare the macronutrient drug study findings to external standards. To execute the statistical analysis, we used IBM SPSS Statistics 24. The main = 0.05, two-dimensional statistical significance is set.

Weaknesses in the Article Methodology

Relative to the article, the selection of participants was not effectively evaluated as only one gender; males were selected for the research. Additionally, the training of the SQT students in MWCW to determine the TDEE, compare it to the TDI and observe temperature patterns did not adhere to various ethical standards as the participant’s health was not evaluated and determined if they were fit for the study (Beals, et al., 2019). Moreover, to meet the high demand for cold-blood training, SQT students endure a severe lack of energy while undergoing MWCW training; students are at greater risk of tiredness and injury when training is combined with stressful environmental conditions and insufficient health. In this case, the possible impacts of such situations were not evaluated.

Conclusion

Despite ignoring various ethical requirements, the article did not indicate measures taken to mitigate various drawbacks. Despite many useful outcomes, the author lowered the possible outcomes of MWCW military training to power output, tiredness, and injury. This led to the rise in demand for energy while identifying specific power generation issues (Beals, et al., 2019). While other studies have examined the energy and nutrient requirements for cold mountain training, this study examined temperature patterns and found potential opportunities to improve fuel efficiency throughout the day during WCW. Therefore, according to the study, Continuous military training may improve performance and sense of well-being and lower the chance of damage if food and water are added promptly.

References

Beals, K., Perlsweig, K. A., Haubenstriker, J. E., Lovalekar, M., Yount, D. L., Darnell, M. E.,… Nindl, &. B. (2019). Energy deficiency during cold weather mountain training in NSW SEAL Qualification Students. International Journal of Sport Nutrition and Exercise Metabolism, 29(3), 315-321. Web.

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