Introduction
Law enforcement is a physically demanding profession, and places a physiological demand on those employed in this vocation. On-duty law enforcement officers (LEOs) may be required to push, pull, lift, carry, drag, jump, vault, crawl, sprint, use force, and sustain pursuit of a suspect at any time during their shift (17 ). Several of these tasks, such as carrying or dragging a civilian to safety, jumping or vaulting a barrier or fence, and pursuing a suspect, have a high dependence on power. Power is the ability to generate high amounts of force in short periods (19 ). In athletic populations, numerous studies have documented the benefit of greater upper- and lower-body power. For example, superior athletes have been shown to demonstrate greater upper-body power as measured by bench throws compared with their lesser counterparts (1,3 ). Greater lower-body power as measured by jump performance has been associated with faster running speeds in male (13,27 ) and female (45 ) athletes. Power is clearly a quality that has benefit for any individual who needs to perform dynamic tasks. However, there has been less analysis of this quality in law enforcement populations.
Medicine ball throws (MBTs) have been used to provide an indirect measure of upper-body power in the field (12,20,26 ). Lockie et al. (26 ) stated that the seated MBT was an effective test of upper-body function in athletic populations. Indeed, the US Army has recently adopted the MBT with a 2-kg ball as part of their Occupational Physical Assessment Test (OPAT) (36 ). The actions required in the MBT, which involves a forceful extension of the arms, have been related to dynamic activities such as pushing and fending in contact sports (30 ). This has clear applications for LEOs, as they may need to make contact and physically engage suspects during a shift (17 ). Despite this, there is currently no research that has investigated the use of the MBT as a measure of upper-body power in LEOs, either for recruits or incumbents.
Lower-body power is commonly measured using jump tests (27,35 ). Although jumping may not provide a direct measure of power, jump assessments are easy to administer (27 ), provide a valid assessment of an individual's physical capacity (8 ), and power can be derived using specific formulas (15,34,42 ). The vertical jump (VJ) has been used to assess lower-body power in different law enforcement populations (9,11,15,17,18,31,37,38 ). Lower VJ performance scores have been found to relate to an increased risk of injury and illness during academy training in law enforcement agency (LEA) recruits (37 ). In incumbent officers, Lockie et al. (31 ) found that younger (20–29 years of age) LEOs performed better in the VJ when compared with older (40–59 years of age) officers. Dawes et al. (15 ) found that greater VJ displacement correlated with faster 0–5, 0–10, and 0–20-m sprint times in part-time Special Weapons and Tactics (SWAT) officers (correlation coefficient [r ] = −0.572 to −0.608). Furthermore, Dawes et al. (15 ) found that relative power calculated from the VJ also correlated with these sprint intervals (r = −0.561 to −0.627). Taken together, these studies highlight the value of lower-body power for LEOs.
It is important to note the specific physical qualities of LEA recruits and incumbents, as recent research has shown that this can vary between these populations (38 ). Most LEAs conduct physical ability testing as part of the hiring process in an attempt to find candidates who have the requisite physical abilities to complete academy training and the specific tasks required in the occupation. Further to this, LEAs should generally have a nondiscriminatory hiring policy regardless of age, sex, and ethnicity for all qualified individuals (5,32 ). This generally results in academy training classes of individuals with a range of physical abilities. Nonetheless, the job tasks for LEOs will remain the same, regardless of factors such as sex and age. This is notable as previous research has shown that incumbent female officers may perform to a lower level in certain physical assessments (e.g., assessments such as the VJ and maximum number of push-ups in 1 minute) when compared with male officers (7,18,31,38 ). Older incumbent officers may also experience decrements in physical performance (e.g., VJ height, maximum number of push-ups and sit-ups completed in 1 minute, 2.4-km run time), which has been linked to age-related declines in aerobic and anaerobic fitness (18,31 ), with some research suggesting that the nature of the law enforcement occupation itself has a negative impact on fitness (38 ). Considering these sex and age differences, the physical training approach that is completed during LEA academy training often features a “one-size-fits-all” approach (39 ). This approach could be problematic if the recruits, as suggested above, differ in their physical fitness standards, including their ability to generate power. It would be beneficial to understand whether these qualities vary in LEA recruits before academy training with regards to sex and age, and if so, by what degree. This information could prove useful in designing fitness programs for physical training instructors and tactical strength and conditioning facilitators (TSAC-F) who work with LEA academy classes.
Therefore, the purpose of this study was to investigate the effects of sex and age on the upper- and lower-body power characteristics of LEA recruits before the start of academy training. A cross-sectional and retrospective analysis of preexisting data collected from LEA recruits was conducted. The subject data were stratified into males and females, and the pooled (males and females combined) data were also stratified into age groups (20–24; 24–29; 30–34; and 35+ years). Upper-body power was measured using the MBT, and MBT distance was also derived relative to body mass (25,43 ). Lower-body power was measured using the VJ. Peak anaerobic power measured in watts (PAPw), and PAPw relative to body mass (P:BM) was also calculated from the VJ (15,34 ). It was hypothesized that male and younger recruits would perform better in all power assessments when compared with female and older recruits, respectively.
Methods
Experimental Approach to the Problem
In accordance with previous research (14–18,31 ), a retrospective analysis of existing data was performed to investigate the effects that sex and age may have on physical upper- and lower-body power in LEA recruits before academy training. As stated, the candidate pool was stratified into males and females, and the pooled (males and females combined) data were also stratified by age (20–24; 24–29; 30–34; and 35+ years). Independent-samples t -tests were used to compare males and females, whereas a 1-way analysis of variance (ANOVA) was used to separately compare the different age groups. The dependent variables for this study were: VJ height; PAPw; P:BM; MBT distance; and MBT distance relative to body mass.
Subjects
Data were collected by one US-based LEA in the week preceding academy training, and similar to previous research (14,15,31 ), was released with consent from that organization. This sample of convenience comprised 179 recruits (± SD age: 27.67 ± 6.18 years; height: 1.74 ± 0.09 m; body mass: 78.76 ± 14.17 kg), which included 142 men (mean ± SD age: 27.46 ± 6.10 years; height: 1.76 ± 0.08 m; body mass: 82.54 ± 12.96 kg) and 37 women (age: 28.49 ± 6.52 years; height: 1.63 ± 0.06 m; body mass: 64.25 ± 7.88 kg). This sample incorporated 2 training cohorts for the LEA that started their academy in the fall, and any strength and conditioning programs before academy were generally completed at the individual level only by recruits. Based on the archival nature of this analysis (14–18,31 ), the California State University, Fullerton approved the use of preexisting data. Nonetheless, the study still conformed to the recommendations of the Declaration of Helsinki. All subjects were 18 years or older and provided informed written consent.
Procedures
The data in this study were collected by staff working for one LEA using the procedures that are detailed hereafter. The staff were all trained by a certified TSAC-F who verified the proficiency of the staff members. Before testing, each subject's age, height, and body mass were recorded. Height was measured barefoot using a portable stadiometer (seca, Hamburg, Germany), whereas body mass was recorded using electronic digital scales (Health o Meter, Neosho, MO). The VJ and MBT were both conducted outdoors on a concrete surface at the LEA's training facility on a day scheduled by the staff for the LEA. Testing typically occurred between the hours of 09:00–14:00 depending on recruit availability, and subjects did not eat in the 2–3 hours before their testing session. Subjects rotated through the tests in small groups of 3–4 recruits, and were permitted to consume water as required during testing.
Vertical Jump
A Vertec apparatus (Perform Better, RI, USA) was used to measure the VJ, and followed established assessment protocols (4,9,28,29 ). The protocols adopted by the LEA staff for the VJ have been shown to have very high test-retest reliability (r > 0.99) (4 ). The subject initially stood side-on to the Vertec (on the subject's dominant side), reached upward as high as possible, and fully elevated the shoulder to displace as many vanes as possible, all while keeping their heels on the floor. The last vane moved became the zero reference. The subject then jumped as high as possible, with no preparatory or jab step, and height was recorded from highest vane moved. No restrictions were placed on the range of countermovement during the jump. Vertical jump height was calculated in centimeters (cm) by subtracting the standing reach height from the jump height. Each subject completed 2 trials, with the best trial used for analysis. Peak power from the VJ was also calculated for the best trial by using the equation from Sayers et al. (42 ): Peak Power (watts; W) = (60.7 × VJ height [cm]) + (45.3·body mass [kg]) − 2055. Peak anaerobic power measured in watts was also calculated relative to body mass to provide a P:BM using the equation: P:BM = PAPw·BM−1 (15,34 ).
Medicine Ball Throw
The MBT was used to indirectly measure isolated upper-body power, and the protocols used were adapted from previous research (12,20,26 ), which have been shown to have high test-retest reliability (r > 0.95) (20 ). Subjects sat on the ground with their head, shoulders, and lower back against a concrete wall. They then extended their legs horizontally on the floor in front of the body, and maintained this position throughout the MBT trials. Similar to the US Army's OPAT (36 ), subjects projected a 2-kg medicine ball (Champion Barbell, TX, USA) as far as possible using a 2-handed chest pass, without the head, shoulders, and hips moving from the wall. The medicine ball was lightly dusted with chalk to allow subjects to grip the ball, and also to mark the ground where the ball landed after the throw (26 ). The measurement taken, using a standard tape measure, was the perpendicular distance from the wall to the chalk-marking closest to the wall made by the ball (26,36 ). No limitations were placed on the height of the throw. Two trials were completed, and the best trial was used for analysis. To provide a further measure of upper-body power, the MBT distance was also made relative to body mass using the formula: relative medicine ball throw (RMBT) = throw distance × body mass−1 (25,43 ).
Statistical Analyses
Statistical analyses were processed using the Statistical Package for Social Sciences (Version 24; IBM Corporation, NY, USA), and Microsoft Excel (Microsoft Corporation, Redmond, WA, USA). As stated, the sample was stratified by sex (males and females) and age (20–24, 25–29, 30–34, and 35+ years). Descriptive data (mean ± SD ; 95% confidence intervals) were calculated for each of these groups. An independent-samples t test was used to compare the male and female groups, with significance set at p ≤ 0.05. To compare the age groups, a 1-way ANOVA was used (p ≤ 0.05), with a Bonferroni post hoc for multiple pairwise comparisons. Effect sizes (d ) were also calculated for the between-group comparisons for sex and age, where the difference between the mean values was divided by the pooled SD (10 ). In accordance with Hopkins (21 ), a d less than 0.2 was considered a trivial effect; 0.2–0.6 a small effect; 0.6–1.2 a moderate effect; 1.2–2.0 a large effect; 2.0–4.0 a very large effect; and 4.0 and above an extremely large effect.
Results
The data for the male and female groups are shown in Table 1 . The male recruits demonstrated significantly higher power results in all tests. There were very large effect sizes for the differences in PAPw and absolute MBT. The difference between the sexes in the VJ and P:BM had large effect sizes, whereas the between-sex difference for RMBT had a moderate effect size.
Table 1.: Descriptive statistics (mean ± SD ; 95% CI) for the VJ, PAPw, P:BM, MBT, and RMBT in male and female LEA recruits before academy training.*
The data for the different age groups are shown in Table 2 , with the effect size data in Table 3 . The 20–24 years (p = 0.021) and 25–29 years (p = 0.042) groups had a significantly greater VJ when compared with the 35+ year group. The 20–24 years (p = 0.003) and 25–29 years (p = 0.020) groups also had a significantly greater P:BM when compared with the 35+ year group. With regards to the RMBT, the 20–24 years (p = 0.014) and 30–34 years (p = 0.037) groups were superior to the 35+ year group. There were no significant between-group differences in PAPw (p = 0.253) or the MBT (p = 0.187). All significant differences had moderate effect sizes.
Table 2.: Descriptive statistics (mean ± SD ; 95% CI) for the VJ, PAPw, P:BM, MBT, and RMBT in LEA recruits stratified by age (20–24, 25–29, 30–34, and 35+ years) before academy training.*
Table 3.: Pairwise effect size data for the VJ, PAPw, P:BM, MBT, and RMBT in LEA recruits stratified by age (20–24, 25–29, 30–34, and 35+ years) before academy training.*
Discussion
This study investigated the effects that sex and age may have had on the upper-body power, as measured by the MBT, and the lower-body power, as measured by the VJ, of LEA recruits before academy training. The results indicated that both female recruits and older recruits above 35 years of age tended to perform lower in power assessments when compared with male recruits and younger recruits, respectively. Given the likely importance of power to specific policing tasks such as such as jumping or vaulting barriers and suspect pursuit (15,17 ), as well as the link between better jump performance and the reduction of illness and injury risk during the academy period (37 ), these results are notable. The findings from this study have important implications for TSAC-F and strength and conditioning coaches who work with LEA recruits. As will be discussed, female recruits and older recruits preparing to enter an LEA for training should attempt to develop their upper- and lower-body power before the academy period as they may be deficient in these capacities when compared with other recruits in their training classes. This would be especially problematic if the training approach for the LEA is “one-size-fits-all” (39 ) and given that the job demands do not vary regardless of the sex or age of the recruit (5 ).
The results from this study showed that the male recruits scored higher than the female recruits in all power assessments (i.e., both upper- and lower-body). This result was in line with the study's hypothesis, given that males, in general, tend to carry more lean body mass when compared with females (22 ), and previous research has shown that male incumbent officers tend to perform better in tests of power when compared with female incumbents (7,18,38 ). The VJ height for the male recruits in this study was similar to that for police cadets (59.1 ± 11.1 cm) (11 ), incumbent LEOs (∼53 cm) (31 ), incumbent highway patrol officers (50.74 ± 8.89 cm) (18 ), and part-time SWAT officers (55.40 ± 6.7 cm) (15 ) from across the United States. The mean VJ height for the female recruits from this study was similar to that for police cadets (39.9 ± 4.5 cm) (11 ), and incumbent LEOs (∼34 cm) (31 ) and highway patrol officers (36.80 ± 5.69 cm) (18 ) from across the United States. Collectively, these data indicated that the subjects from this research are representative of LEOs, which provides practical application for the current results. As female recruits will often need to perform the same tasks as males during physical training (39 ) and on the job (5 ), they may be at an initial disadvantage in power-based activities. On this basis, female recruits should attempt to develop their upper- and lower-body power before the academy period with the guidance of TSAC-F and strength and conditioning coaches. This approach could assist in lowering the chance of injury and illness (37 ), while also enhancing the ability to perform job-related training tasks (e.g., defensive tactics and running training).
Similar to previous research (31 ), data were pooled for the age group comparisons. With regard to the VJ, the 35+ year group had significantly lower jump heights and P:BMs when compared with the 20–24 and 25–29 years groups, and all comparisons had moderate effect sizes. The value of these variables was highlighted by Dawes et al. (15 ), who documented that greater VJ height and P:BM related to faster 20-m sprint times in part-time male SWAT officers. By contrast, there were no significant between-group differences in PAPw. Interestingly, Dawes et al. (15 ) found that PAPw derived from the VJ did not significantly correlate with 20-m sprint times in part-time male SWAT officers. Nonetheless, the results from this study highlight that recruits aged 35+ years performed lower in the VJ, and in the generation of lower-body power relative to body mass. This has also been seen in older incumbent officers when analyzed in cross-sectional studies (18,31 ), and may reflect age-related changes in fast-twitch muscle fiber size (23 ) and lean tissue mass (22 ). As noted, given that the demands of physical training will generally not vary regardless of the population subsets within an academy class (39 ), older recruits should complete specific training to ensure the maintenance or improvement of absolute and relative lower-body power. This should positively contribute to jumping, vaulting, and running tasks (13,27,45 ), as well as injury and illness prevention (37 ). Tactical strength and conditioning facilitators and strength and conditioning coaches should consider this information when designing programs for older LEA recruits.
There is currently no research that has measured the performance of the MBT in law enforcement populations. This is despite the fact that the actions required in the MBT (i.e., a powerful extension of the arms) could manifest in job-related tasks (i.e., a physical altercation with a suspect) (17 ). Lockie et al. (26 ) stated that the MBT was an appropriate test of upper-body function, and found that recreational male team sport athletes projected a 1-kg medicine ball to a distance of approximately 7.66 m. However, this study used the MBT as implemented by the US Army, which uses a 2-kg ball (36 ). There were no significant differences between the different age groups when considering the MBT distance. Indeed, all age groups exceeded the minimum MBT distance of 4.50 m required for an infantry, armor, and artillery position in the US Army (44 ). However, when considering MBT distance relative to body mass, the 35+ year group performed lower than the 20–24 and 30–34 years groups. Similar to the P:BM as measured from the VJ, older recruits appeared to have a deficiency in the ability to generate upper-body power relative to body mass. As upper-body power could positively contribute to tasks required in defensive tactics training (e.g., grappling, wrestling, and striking) (6,40 ), in addition to job-related tasks (17 ), this is also a capacity that older recruits should attempt to optimize before academy.
There are certain study limitations that should be acknowledged. There were more male recruits than female recruits analyzed in this study, although this is typical for LEA populations (9,11,18,31,41 ). Nevertheless, future research should attempt to analyze more female LEA recruits to garner more information about this population. This study only used one upper- and lower-body power test each. Although this was due to time constraints when assessing LEA recruit populations before the start of an academy, this limited the interpretation of power characteristics in this population. Future research should investigate other measures of upper- and lower-body power, including loaded bench throws (2 ), a backward overheard medicine ball toss (25,33 ), and standing broad and lateral jumps (28,29 ). Furthermore, future research should also document how measures of upper- and lower-body power, such as the MBT and VJ, change after the academy training period. Within the context of these limitations, the results from the current study showed that female recruits, and recruits older than 35 years of age, should complete a strength and conditioning program that eventually is aimed at improving strength and power outcomes before attending an academy. An appropriate program that develops upper- and lower-body power could assist with injury and illness prevention (37 ), as well as performance in job-specific training tasks that require power (6,15,17,40 ).
Practical Applications
There are several practical applications that can be drawn from this research. Tactical strength and conditioning facilitators and strength and conditioning coaches who work with LEA recruits should consider the following information when preparing individuals for academy training. Female LEA recruits should complete strength and power training to develop these qualities before their commencement of training at a LEA academy. Although they have been accepted to an LEA, the inherent physiology of female recruits may place them at a disadvantage when compared with their male counterparts. Structured, long-term resistance training has been shown to positively influence the occupational performance of women in the military (24 ), and this would also have application for female LEA recruits. Older recruits (i.e., 35+ years of age) should also complete strength and power training before academy attendance to maintain or develop their ability to generate upper- and lower-body power relative to body mass. The completion of power training can have a positive influence on muscle function and fast-twitch muscle fiber size in older individuals (23 ); so, this approach should be adopted by older LEA recruits as long as possible before academy attendance. Further to this, training instructors may consider using ability-based training rather than a “one-size-fits-all” approach to more appropriately develop power across an academy class (39 ).
Acknowledgments
The authors have no conflicts of interest to disclose. The authors thank the training instructors for facilitating this research, and the California State University, Fullerton tactical research team for collating the data.
References
1. Baker D. Comparison of upper-body strength and power between professional and college-aged rugby league players. J Strength Cond Res 15: 30–35, 2001.
2. Baker D, Nance S, Moore M. The load that maximizes the average mechanical power output during explosive bench press throws in highly trained athletes. J Strength Cond Res 15: 20–24, 2001.
3. Baker D. Differences in strength and power among junior-high, senior-high, college-aged, and elite professional rugby league players. J Strength Cond Res 16: 581–585, 2002.
4. Beck AQ, Clasey JL, Yates JW, Koebke NC, Palmer TG, Abel MG. Relationship of physical fitness measures vs. occupational physical ability in campus law enforcement officers. J Strength Cond Res 29: 2340–2350, 2015.
5. Birzer ML, Craig DE. Gender differences in police physical ability test performance. Am J Police 15: 93–108, 1996.
6. Bounty PL, Campbell BI, Galvan E, Cooke M, Antonio J. Strength and conditioning considerations for mixed martial arts. Strength Cond J 33: 56–67, 2011.
7. Boyce RW, Jones GR, Schendt KE, Lloyd CL, Boone EL. Longitudinal changes in strength of police officers with gender comparisons. J Strength Cond Res 23: 2411–2418, 2009.
8. Burr JF, Jamnik VK, Dogra S, Gledhill N. Evaluation of jump protocols to assess leg power and predict hockey playing potential. J Strength Cond Res 21: 1139–1145, 2007.
9. Cocke C, Dawes J, Orr RM. The use of 2 conditioning programs and the fitness characteristics of police academy cadets. J Athl Train 51: 887–896, 2016.
10. Cohen J. Statistical Power Analysis for the Behavioral Sciences. (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates, 1988.
11. Crawley AA, Sherman RA, Crawley WR, Cosio-Lima LM. Physical fitness of police academy cadets: Baseline characteristics and changes during a 16-week academy. J Strength Cond Res 30: 1416–1424, 2016.
12. Cronin JB, Owen GJ. Upper-body strength and power assessment in women using a chest pass. J Strength Cond Res 18: 401–404, 2004.
13. Cronin JB, Hansen KT. Strength and power predictors of sports speed. J Strength Cond Res 19: 349–357, 2005.
14. Dawes JJ, Orr RM, Elder CL, Rockwell C. Association between body fatness and measures of muscular endurance among part-time SWAT officers. J Aust Strength Cond 22: 33–37, 2014.
15. Dawes JJ, Orr RM, Elder CL, Krall K, Stierli M, Schilling B. Relationship between selected measures of power and strength and linear running speed amongst special weapons and tactics police officers. J Aust Strength Cond 23: 23–28, 2015.
16. Dawes JJ, Orr RM, Brandt BL, Conroy RL, Pope R. The effect of age on push-up performance amongst male law enforcement officers. J Aust Strength Cond 24: 23–27, 2016.
17. Dawes JJ, Orr RM, Siekaniec CL, Vanderwoude AA, Pope R. Associations between anthropometric characteristics and physical performance in male law enforcement officers: A retrospective cohort study. Ann Occup Environ Med 28: 26, 2016.
18. Dawes JJ, Orr RM, Flores RR, Lockie RG, Kornhauser C, Holmes R. A physical fitness profile of state highway patrol officers by gender and age. Ann Occup Environ Med 29: 16, 2017.
19. Haff GG, Nimphius S. Training principles for power. Strength Cond J 34: 2–12, 2012.
20. Harris C, Wattles AP, Debeliso M, Sevene-Adams PG, Berning JM, Adams KJ. The seated medicine ball throw as a test of upper body power in older adults. J Strength Cond Res 25: 2344–2348, 2011.
21. Hopkins WG. How to interpret changes in an athletic performance test. Sportscience 8: 1–7, 2004.
22. Janssen I, Heymsfield SB, Wang Z, Ross R. Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. J Appl Physiol 89: 81–88, 2000.
23. Korhonen MT, Cristea A, Alén M, Häkkinen K, Sipilä S, Mero A, Viitasalo JT, Larsson L, Suominen H. Aging, muscle fiber type, and contractile function in sprint-trained athletes. J Appl Physiol 101: 906–917, 2006.
24. Kraemer WJ, Mazzetti SA, Nindl BC, Gotshalk LA, Volek JS, Bush JA, Marx JO, Dohi K, Gomez AL, Miles M, Fleck SJ, Newton RU, Hakkinen K. Effect of resistance training on women's strength/power and occupational performances. Med Sci Sports Exerc 33: 1011–1025, 2001.
25. Lockie RG, Jeffriess MD, Schultz AB, Callaghan SJ. Relationship between absolute and relative power with linear and change-of-direction speed in junior American football players from Australia. J Aust Strength Cond 20: 4–12, 2012.
26. Lockie RG, Callaghan SJ, Jordan CA, Luczo TM, Jeffriess MD. Does the trunk stability push-up provide an effective measure of upper-body function specific to male team sport athletes? J Athl Enhancement 2, 2013.
27. Lockie RG, Callaghan SJ, Berry SP, Cooke ER, Jordan CA, Luczo TM, Jeffriess MD. Relationship between unilateral jumping ability and asymmetry on multidirectional speed in team-sport athletes. J Strength Cond Res 28: 3557–3566, 2014.
28. Lockie RG, Schultz AB, Callaghan SJ, Jordan CA, Luczo TM, Jeffriess MD. A preliminary investigation into the relationship between functional movement screen scores and athletic physical performance in female team sport athletes. Biol Sport 32: 41–51, 2015.
29. Lockie RG, Schultz AB, Jordan CA, Callaghan SJ, Jeffriess MD, Luczo TM. Can selected functional movement screen assessments be used to identify movement deficiencies that could affect multidirectional speed and jump performance? J Strength Cond Res 29: 195–205, 2015.
30. Lockie RG, Callaghan SJ, Moreno MR, Risso FG, Liu TM, Stage AA, Birmingham-Babauta SA, Stokes JJ, Giuliano DV, Lazar A, Davis DL, Orjalo AJ. An investigation of the mechanics and sticking region of a one-repetition maximum close-grip bench press versus the traditional bench press. Sports 5: 46, 2017.
31. Lockie RG, Dawes JJ, Kornhauser CL, Holmes RJ. A cross-sectional and retrospective cohort analysis of the effects of age on flexibility, strength endurance, lower-body power, and aerobic fitness in law enforcement officers. J Strength Cond Res, 2017. Epub ahead of print.
32. Los Angeles County Sheriff's Department. Deputy sheriff trainee, 2015. Available at:
http://agency.governmentjobs.com/lacounty/job_bulletin.cfm?jobID=1181988&sharedWindow=0 . Accessed November 11, 2017.
33. Marques MC, Van Den Tillaar R, Gabbett TJ, Reis VM, Gonzalez-Badillo JJ. Physical fitness qualities of professional volleyball players: Determination of positional differences. J Strength Cond Res 23: 1106–1111, 2009.
34. McFarland I, Dawes JJ, Elder CL, Lockie RG. Relationship of two vertical jumping tests to sprint and change of direction speed among male and female collegiate soccer players. Sports 4, 2016.
35. Meylan C, Mcmaster T, Cronin J, Mohammad NI, Rogers C, Deklerk M. Single-leg lateral, horizontal, and
vertical jump assessment: Reliability, interrelationships, and ability to predict sprint and change-of-direction performance. J Strength Cond Res 23: 1140–1147, 2009.
36. Military Performance Division. Development of the occuptational physical assessment test (OPAT) for combat arms soldiers, 2015. Available at:
https://www.defense.gov/Portals/1/Documents/wisr-studies/Army%20-%20MEDCOM%20USARIEM%20Task%20Assessment3.pdf . Accessed November 10, 2017.
37. Orr R, Pope R, Peterson S, Hinton B, Stierli M. Leg power as an indicator of risk of injury or illness in police recruits. Int J Environ Res Public Health 13: 237, 2016.
38. Orr R, Dawes JJ, Pope R, Terry J. Assessing differences in anthropometric and fitness characteristics between police academy cadets and incumbent officers. J Strength Cond Res, 2017. Epub ahead of print.
39. Orr RM, Ford K, Stierli M. Implementation of an ability-based training program in police force recruits. J Strength Cond Res 30: 2781–2787, 2016.
40. Ratamess NA. Strength and conditioning for grappling sports. Strength Cond J 33: 18–24, 2011.
41. Rossomanno CI, Herrick JE, Kirk SM, Kirk EP. A 6-month supervised employer-based minimal exercise program for police officers improves fitness. J Strength Cond Res 26: 2338–2344, 2012.
42. Sayers SP, Harackiewicz DV, Harman EA, Frykman PN, Rosenstein MT. Cross-validation of three jump power equations. Med Sci Sports Exerc 31: 572–577, 1999.
43. Stockbrugger BA, Haennel RG. Contributing factors to performance of a medicine ball explosive power test: A comparison between jump and nonjump athletes. J Strength Cond Res 17: 768–774, 2003.
44. U.S. Army Center for Initial Military Training. Occuptaional physical assessment test (OPAT) scorecard, 2016. Available at:
http://www.ssi.army.mil/!CareerAdvisor/Mr.%20Wilcox%20uploads/HQDA%20EXORD%20202-16%20Att%202%20-%20OPAT%20Scorecard.pdf . Accessed November 17, 2017.
45. Vescovi JD, Mcguigan MR. Relationships between sprinting, agility, and jump ability in female athletes. J Sports Sci 26: 97–107, 2008.