Unlabelled: IntroductionUS Army Initial Entry Training (IET) aims to develop general fitness and conditioning among large groups of trainees. Despite group mean improvement in physical fitness during IET, some trainees experience substantial gains and others experience no improvement or even declines in fitness. The purpose of this study was to examine the associations between trainee baseline fitness (Army Physical Fitness Test (APFT), the primary fitness assessment at the time of data collection) or estimated baseline body fat (%BF) and the change in fitness by the end of IET.
Methods: Trainee (n=774 men, 195 women) APFT performance data were obtained, and baseline anthropometrics were used to estimate %BF. APFT performance change (final-baseline) was analysed directly (t-tests) or by quartiles of baseline APFT performance or %BF (analysis of variance). Cochran-Armitage χ for linear trend test and risk ratios allowed for comparison against the lowest initial performance referent quartile (Q1), providing the likelihood of fitness improvements. Significance was set at p≤0.05.
Results: Performance improved (p<0.01) on all final APFT events for men and women, respectively (push-ups: +38.4% and +91.8% repetitions; sit-ups: +26.8% and +33.5% repetitions; 2-mile run: -9.6% and -10.4% time). Significant trends in both sexes indicated that moving from low-to-high initial APFT fitness quartiles, trainees were increasingly less likely to improve their fitness. Specifically, men and women in the highest initial fitness quartiles (Q4) were 22%-32% and 25%-34% less likely (p<0.01) to improve, respectively, versus the within-sex lowest initial fitness quartiles (Q1). Only the male trainee's 2-mile run time change was related to the initial %BF.
Conclusions: Although most trainees' fitness improved by the end of IET, the likelihood and magnitude of improvement were clearly associated with initial fitness levels. Attention to individualised conditioning and training intensity in the physical readiness training programme of instruction may optimise training strategies across all trainee conditioning levels.
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http://dx.doi.org/10.1136/military-2024-002763 | DOI Listing |
Mil Med
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Sensors (Basel)
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Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
The analysis of running gait has conventionally taken place within an expensive and restricted laboratory space, with wearable technology offering a practical, cost-effective, and unobtrusive way to examine running gait in more natural environments. This pilot study presents a wearable inertial measurement unit (IMU) setup for the continuous analysis of running gait during an outdoor parkrun (i.e.
View Article and Find Full Text PDFNutrients
January 2025
Center for the Study of Metabolism, Body Composition and Lifestyle, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
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View Article and Find Full Text PDFNutrients
January 2025
Faculty of Health, Santo Tomas University, Talca 3460000, Chile.
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