12 research outputs found
Assessing differences in anthropometric and fitness characteristics between police academy cadets and incumbent officers
Description of the Anthropometric and Physiological Profile of Tactical Officers
The purpose of this study was investigate the current physical and performance characteristics of tactical officers on full-time, part-time and multi-jurisdictional teams and to identify the underlying physical fitness components required to perform the essential job-tasks of SWAT. A descriptive statistical analysis, One-way ANOVA with Tukeys' post-hocs and independent sample t-tests were used to compare differences in mean anthropometric and performance scores among three groups of tactical officers. In addition, a discriminate analysis with stepwise linear regressions was used to predict group membership. One sample t-tests were utilized to determine differences between the mean scores of the tactical officers and traditional law enforcement officers, as well as the Cooper Single Standard -Fitness Norms. The full-time tactical officers had significantly less fat mass and scored significantly better on measures of muscular endurance and anaerobic power than both the part-time and multi-jurisdictional tacticaSchool of Teaching and Curriculum Leadershi
Associations between anthropometric characteristics and physical performance in male law enforcement officers: A retrospective cohort study
BACKGROUND: Police officers are often required to undertake physically demanding tasks, like lifting, dragging and pursuing a suspect. Therefore, physical performance is a key requirement. METHODS: Retrospective data for 76 male police officers (mean age = 39.42 ± 8.41 years; mean weight = 84.21 ± 12.91 kg) was obtained. Data included anthropometric (skinfolds, estimated percentage body fat, lean body mass and fat mass) and physical performance (1 Repetition Maximum Bench Press, 1–min sit-ups, 1-min push-ups, vertical jump, 300 m run, 1.5 mile run) measures and correlations between anthropometric measurement and fitness score were obtained. RESULTS: Estimated percentage body fat was significantly (p ≤ .001) and negatively correlated with all performance measures, except sit-ups and 300 m and 1.5 mile run performance. Estimated lean body mass was significantly and positively (p ≤ .001) correlated with push-ups, bench press and vertical jump measures, while increasing estimated fat mass was significantly (p ≤ .001) associated with reduced performance on sit-up, vertical jump, 1.5 mile run and estimated maximal voluntary oxygen uptake. CONCLUSIONS: A targeted approach, going beyond just decreasing percentage body fat to also selectively increasing lean mass, should be applied for optimal improvement in physical fitness performance
Analysis of the Effects of Sex and Age on Upper- and Lower-Body Power for Law Enforcement Agency Recruits Before Academy Training
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Predicting performance on the NFL-225 bench press test using bar velocity
BACKGROUND: Bar velocity has been proved to accurately predict performance in several exercises.
OBJECTIVE: To estimate the total number of repetitions during the NFL-225 Bench Press Test (NFL-225) based on bar velocity in collegiate football players.
METHODS: Forty-six NCAA Division I football players performed as many bench press repetitions as possible with a standard load of 225 lbs. The variables used to estimate the total number of repetitions were: mean velocity of the fastest repetition achieved in the test (FR); mean velocity of the first repetition (V1); mean velocity of the first three repetitions (MV3); mean velocity of the first five repetitions (MV5); and mean velocity of the first 10 repetitions (MV10). Linear regression analyses were conducted to predict NFL-225 performance based on bar velocity.
RESULTS: The prediction of the total number of repetitions was similar between the five mean velocities (FR: R-2 = 0.64, SEE = 3.87, V1: R-2 = 0.65, SEE = 3.80, MV3: R2 = 0.70, SEE = 3.52, MV5: R-2 = 0.71, SEE = 3.48, and MV10: R-2 = 0.62, SEE = 3.37).
CONCLUSION: The mean velocities allowed the production of general regression equations for the estimation of the total number of repetitions in the NFL-225. V1 and MV3 presented as the best options due to their accuracy, time-efficiency, and reduced musculoskeletal stress