Articles: ninos.
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Shoulder stabilization surgery is common among military personnel, causing severe acute postoperative pain that may contribute to the development of chronic pain, thereby reducing military readiness. Battlefield Acupuncture (BFA) has shown promise as a non-pharmaceutical intervention for acute postoperative pain. The purpose of this study was to determine the effectiveness of BFA combined with standard physical therapy on pain, self-reported mood, self-reported improvement, and medication use in patients after shoulder stabilization surgery. ⋯ ClinicalTrials.gov, NCT04094246. Registered September 16, 2019, http://clinicaltrials.gov/NCT04094246.
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This study aims to analyze the characteristics of hip region stress fractures (HSFs) within a South Korean military cohort and identify the associated risk factors to provide insights for treatment and prevention strategies. Additionally, we will report the epidemiologic data and clinical outcomes of treating HSF within the second largest military hospital. ⋯ Hip region stress fractures can also be termed as "private's fractures," which accurately describe their nature. It is crucial to identify cases that necessitate early diagnosis and surgical intervention. Epidemiologically, HSF demonstrates high bilaterality and a bimodal distribution throughout the year. During this period, unit commanders and military doctors should be cautious of HSF among soldiers and conduct appropriate screenings.
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Load carriage is an inherent part of tactical operations. Critical speed (CS) has been associated with technical and combat-specific performance measures (e.g., loaded running). The 3-min all-out exercise test provides estimates of CS and the maximal capacity to displace the body (D') at speeds above CS. The current study investigated the contributions of CS, D', lean body mass (LBM), thigh lean mass (TLM), and lower body isokinetic strength and endurance parameters related to load carriage time trials (LCTTs). ⋯ The results of this study highlight that CS and LBM were the best predictors of the 3,200-m LCTT, and TLM was the best predictor of the 400-m LCTT. The findings of this study support that CS and LBM, including TLM, are important in predicting load carriage task completion in the time trial tasks.