Publications by authors named "B C Nindl"

Military training improves tibial density, structure, and estimated strength; however, men and women may adapt differently. Most work performed in military populations has assessed changes in bone health during initial entry programs, a timeframe at the beginning of a service member's career when bones may be more adaptable to a novel mechanical stimulus. The purpose of this investigation was to examine changes in tibial volumetric bone mineral density (vBMD), structure, and estimated strength, and biomarkers of bone metabolism (P1NP, osteocalcin, TRAP5b, sclerostin) between male and female candidates measured at the start and end of United States Marine Corps Officer Candidates School (OCS), a 10-week military training program attended by older service members (~ 25 y/o) who may have previous military experience.

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Martin, BJ, Wright, M, Patel, V, Susmarski, A, Lovalekar, M, Forse, JN, Beckner, ME, Ledford, AK, and Nindl, BC. Physiological, physical, and psychological determinants of success during the naval special warfare screener selection course. J Strength Cond Res XX(X): 000-000, 2024-The Naval Special Warfare (NSW) screener is an arduous, 24-h course conducted at the Naval Academy in Midshipmen aspiring to enter the Navy's Sea, Air, and Land program.

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The physical capacity of male and female warfighters is challenged on the modern battlefield by heavy loads and high-intensity work. When designing training programmes for warfighters, approaches for developing strength and power alongside endurance must be considered. Strength training often requires facilities that may not be available during deployments while multiple stressors may impair or decrease overall performance.

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Article Synopsis
  • - This study investigates the factors leading to attrition in a 10-week military training program for male and female candidates, analyzing data from 1006 participants who underwent various assessments including blood draws, questionnaires, and fitness tests.
  • - Of the candidates, 260 (25.8%) left the program, with the highest dropout rate occurring in week 5, primarily due to musculoskeletal injuries (30%) and other medical or voluntary reasons.
  • - Key predictors associated with attrition include sex, body mass index (BMI), resilience, and physical fitness test scores, with the final model highlighting combat fitness test scores and resilience as significant indicators, suggesting that these factors can aid early screening processes for candidates at risk of not completing the
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Article Synopsis
  • * They developed a machine learning model capable of predicting MSKI risk based on a single jump test and assessed the influence of sex on lower-limb injury risk.
  • * The collaboration highlights the importance of having well-rounded teams with independent funding to tackle complex problems and evaluate wearable technology for military training adaptations.
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