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Journal ArticleDOI

A physical fitness profile of state highway patrol officers by gender and age

TL;DR: Male officers tended to be heavier, taller and perform significantly better than female officers in all measures bar sit-ups, and Percentile rankings for the assessed measures were found to have elements very specific to this population when compared to the general population.
Abstract: Law enforcement officers perform physically demanding tasks that generally remain constant as they age. However, there is limited population-specific research on age, gender and normative fitness values for law enforcement officers as opposed to those of the general population. The purpose of this study was to profile the current level of fitness for highway patrol officers based on age and gender and provide percentile ranking charts unique to this population. Retrospective data for six-hundred and thirty-one state troopers (♂ = 597; mean age = 39.52 ± 8.09 yrs; mean height = 180.72 ± 7.06 cm; mean weight = 93.66 ± 15.72 kg: ♀ = 34; mean age = 36.20 ± 8.45 years; mean height = 169.62 ± 6.65 cm; mean weight = 74.02 ± 14.91 kg) collected in 2014–2015 were provided for analysis. Data included demographic (age), anthropometric (height and weight), and select fitness (VJ, push-ups, sit ups, isometric leg/back strength, isometric grip strength and 20 m shuttle run test) information. There were generally significant differences between genders for all anthropometric and fitness measures, most consistently in the 30–39 age groups. While there was a general decline in push-up and shuttle run performance in female officers, these results did not reach significance. For male officers, there were significant differences between the 20–29 year-old age group and the 30–39, 40–49 and 50–59 year-old groups with the younger group performing better in VJ, push-ups, sit ups and number of shuttle runs than the older groups. There were no differences in isometric grip strength and leg back dynamometer measures between age groups. Male officers tended to be heavier, taller and perform significantly better than female officers in all measures bar sit-ups. While there appeared to be a general decline in certain physical characteristics across genders with increasing age the notable differences were between the youngest male age group (20–29 years) and all other male age groups with a potential reason being the lack of fitness requirements once typically younger cadets leave the academy. Percentile rankings for the assessed measures were found to have elements very specific to this population when compared to the general population and those provided in this paper can be used to inform future profiling and research in this population.

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Journal ArticleDOI
TL;DR: To perform better in the WSTB and job-specific tasks, developing upper-body strength and aerobic fitness may be beneficial.
Abstract: This study determined relationships between an agency-specific fitness test battery (PT500), and a work sample test battery (WSTB) in law enforcement recruits. Retrospective analysis on 219 males and 34 females from one agency was conducted. The PT500 comprised: push-ups, sit-ups, and mountain climbers in 120 s; pull-ups; and 201 m and 2.4 km runs. The WSTB comprised: 99 yard (90.53 m) obstacle course (99OC); body drag (BD) with a 165 pound (75 kg) dummy; 6 foot (1.83 m) chain link fence (CLF) and solid wall (SW) climb; and 500 yard (457.2 m) run (500R). Partial correlations, controlling for sex, calculated PT500 and WSTB relationships (p < 0.05). Stepwise regression determined whether fitness predicted WSTB performance. The 500R related to all PT500 assessments (r range = −0.127–0.574), 99OC related to all bar push-ups and mountain climbers, and BD related to none. The CLF related to sit-ups, pull-ups, and 2.4 km run; SW related to mountain climbers, pull-ups, and 2.4 km run (r range = −0.127–−0.315). Push-ups, pull-ups, and 2.4 km run were involved in predictive relationships for 99OC, CLF, SW, and 500R (r2 range = 0.217–0.500). To perform better in the WSTB and job-specific tasks, developing upper-body strength and aerobic fitness may be beneficial.

85 citations


Cites background or methods from "A physical fitness profile of state..."

  • ...4 km run) [6,15,42,52], which could influence the relationships demonstrated with job-specific tests....

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  • ...Partial correlations were used because numerous studies have documented sex differences in the physical performance of law enforcement populations [15,16,38,39], even though there are no corrections for sex in the WSTB [19]....

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Journal ArticleDOI
TL;DR: A positive association exists between handgrip strength and police recruit task performance (notably TACOPS and marksmanship) with recruits who scored poorly on grip strength being at greatest risk of occupational assessment task failure.
Abstract: Suitable grip strength is a police occupational requirement. The aim of this study was to investigate the association between grip strength, task performance and injury risk in a police population. Retrospective data of police recruits (n = 169) who had undergone basic recruit training were provided, including handgrip strength results, occupational task performance measures (consisting of police task simulations [SIM], tactical options [TACOPS] and marksmanship assessments) and injury records. Left hand grip strength (41.91 ± 8.29 kg) measures showed a stronger correlation than right hand grip strength (42.15 ± 8.53 kg) with all outcome measures. Recruits whose grip strength scores were lower were significantly more susceptible to failing the TACOPS occupational task assessment than those with greater grip strength scores, with significant (p ≤ 0.003) weak to moderate, positive correlations found between grip strength and TACOPS performance. A significant (p < 0.0001) correlation was found between grip strength, most notably of the left hand, and marksmanship performance, with those performing better in marksmanship having higher grip strength. Left hand grip strength was significantly associated with injury risk (r = −0.181, p = 0.018) but right hand grip strength was not. A positive association exists between handgrip strength and police recruit task performance (notably TACOPS and marksmanship) with recruits who scored poorly on grip strength being at greatest risk of occupational assessment task failure.

71 citations


Cites background from "A physical fitness profile of state..."

  • ...In a police specific population, Dawes, Orr, Flores, Lockie, Kornhauser and Holmes [28] found that female police officers presented with a mean grip strength of 37....

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  • ...In a police specific population, Dawes, Orr, Flores, Lockie, Kornhauser and Holmes [28] found that female police officers presented with a mean grip strength of 37.875 ± 5.34 kg and male officers with a significantly greater mean grip strength of 55.04 ± 7.77 kg—a range that brackets the findings of this study, which included female and male data combined....

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Journal ArticleDOI
TL;DR: Being a police officer, rather than age progression, may largely account for observed lower levels of fitness in incumbent officers when compared with cadets.
Abstract: Orr, RM, Dawes, JJ, Pope, R, and Terry, J. Assessing differences in anthropometric and fitness characteristics between police academy cadets and incumbent officers. J Strength Cond Res 32(9): 2641-2650, 2018-The physical fitness of police officers must be developed in new cadets and sustained in incumbent officers. The aims of this study were to profile and compare the anthropometric and fitness characteristics of police academy cadets and incumbent officers of varying ages from a single police force. Retrospective data for 84 police academy cadets (♂ = 66, mean age = 27.96 ± 5.73 years; ♀ = 18, mean age = 30.50 ± 5.76 years) and 80 incumbent police officers (♂ = 73, mean age = 39.43 ± 8.28 years; ♀ = 7, mean age = 37.86 ± 3.67 years) were compiled. Data included participant age, anthropometric (body mass, lean mass, and fat mass), and fitness measurements (1-minute push-up, 1-minute sit-up, 1 repetition maximum bench press, vertical jump, 300-m, and 1.5-mile run). Male cadets exhibited significantly lower fat mass than male officers (12.4 vs. 15.1 kg, p = 0.003). These differences were fully explained by the age differences between these groups (p = 0.046). Male cadets were more aerobically fit with greater muscular endurance than male officers (p 0.80 for all measures). Male cadets also exhibited higher anaerobic fitness than male officers (p < 0.001). Age differences only partially explained this difference (p = 0.01). Female cadets exhibited greater upper-body strength and muscular endurance than female officers (p < 0.004 for all measures), independent of age. Being a police officer, rather than age progression, may largely account for observed lower levels of fitness in incumbent officers when compared with cadets. Formalized physical training programs for incumbent police officers are needed if their fitness is to be maintained and risk of cardiovascular disease minimized.

65 citations

Journal ArticleDOI
TL;DR: Male recruits demonstrated superior performance across all power tests compared with the female recruits, and female recruits aged 35+ years of age may be lacking in upper- and lower-body power.
Abstract: Lockie, RG, Dawes, JJ, Orr, RM, Stierli, M, Dulla, JM, and Orjalo, AJ. Analysis of the effects of sex and age on upper- and lower-body power for law enforcement agency recruits before academy training. J Strength Cond Res 32(7): 1968–1974, 2018—Power is an important characteristic for law en

57 citations


Cites background or methods or result from "A physical fitness profile of state..."

  • ...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 a ge may have upon physical upper- and lowerbody power in LEA recruits prior to academy trainin g....

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  • ...This has also been seen in o lder incumbent officers when analyzed in cross-sectional studies (18, 31), and may reflect a ge-related changes in fast-twitch muscle fiber size (23) and lean tissue mass (22)....

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  • ...4-kilometer run time), which has been linked to age-related decline s i aerobic and anaerobic fitness (18, 31), with some research suggesting that the nature of th e law enforcement occupation itself has a negative impact on fitness (38)....

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  • ...This result was in line with the study’s hypothesis, given that males, in genera l, tend to carry more lean body mass when compared to females (22), and previous research has shown that male incumbent officers tend to perform better in tests of power when compared to f emale incumbents (7, 18, 38)....

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  • ...There were more males than females analyzed in this study, although this is typical for LEA populations (9, 11, 18, 31, 41)....

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01 Jun 2016
TL;DR: In this article, 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 for police officers.
Abstract: 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.

53 citations

References
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Journal ArticleDOI
TL;DR: It is indicated that men have more SM than women and that these gender differences are greater in the upper body.
Abstract: We employed a whole body magnetic resonance imaging protocol to examine the influence of age, gender, body weight, and height on skeletal muscle (SM) mass and distribution in a large and heterogene...

2,361 citations


"A physical fitness profile of state..." refers background or result in this paper

  • ...When investigating the results by gender there were significant differences in height and body weight between male and female police officers, which is to be expected given previous research investigating gender differences in height and body weight [21]....

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  • ...Given that males tend to have greater skeletal muscle mass [21] and that greater muscle mass is a major factor in gender-related differences in strength [22, 23], the differences in strength (leg/back dynamometer, grip strength), strength endurance (pushups) and strength influenced movements (e....

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Journal ArticleDOI
TL;DR: Data suggest that MM is a major determinant of the age- and gender-related differences in skeletal muscle strength, independent of muscle location (upper vs. lower extremities) and function (extension vs. flexion).
Abstract: The isokinetic strength of the elbow and knee extensors and flexors was measured in 200 healthy 45- to 78-yr-old men and women to examine the relationship between muscle strength, age, and body com...

1,029 citations


"A physical fitness profile of state..." refers background in this paper

  • ...Given that males tend to have greater skeletal muscle mass [21] and that greater muscle mass is a major factor in gender-related differences in strength [22, 23], the differences in strength (leg/back dynamometer, grip strength), strength endurance (pushups) and strength influenced movements (e....

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Journal ArticleDOI
TL;DR: Both men and women experience age-related losses in isometric, Con, and Ecc knee extensors peak torque; however, age accounted for less of the variance in Ecc peak torque in women, and women tend to better preserve muscle quality with age for Eccpeak torque.
Abstract: Lindle, R. S., E. J. Metter, N. A. Lynch, J. L. Fleg, J. L. Fozard, J. Tobin, T. A. Roy, and B. F. Hurley. Age and gender comparisons of muscle strength in 654 women and men aged 20–93 yr.J. Appl. ...

927 citations


"A physical fitness profile of state..." refers background in this paper

  • ...A potential reason for this lack of difference with aging lies in research suggesting that older females may be able to maintain stretch-shortening function better than men [35], a physiological function which could benefit VJ performance....

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  • ...A reduction in VJ ability, and hence power, can be linked to the reductions in Type II muscle fiber size, muscle force output, and rate of force development that can occur with aging [34, 35]....

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Journal ArticleDOI
TL;DR: Data suggest that the greater strength of the men was due primarily to larger fibers, and it is difficult to determine the extent to which the larger fibers in men represent a true biological difference rather that a difference in physical activity.
Abstract: Strength and muscle characteristics were examined in biceps brachii and vastus lateralis of eight men and eight women. Measurements included motor unit number, size and activation and voluntary strength of the elbow flexors and knee extensors. Fiber areas and type were determined from needle biopsies and muscle areas by computerized tomographical scanning. The women were approximately 52% and 66% as strong as the men in the upper and lower body respectively. The men were also stronger relative to lean body mass. A significant correlation was found between strength and muscle cross-sectional area (CSA; P≤0.05). The women had 45, 41, 30 and 25% smaller muscle CSAs for the biceps brachii, total elbow flexors, vastus lateralis and total knee extensors respectively. The men had significantly larger type I fiber areas (4597 vs 3483 μm2) and mean fiber areas (6632 vs 3963 μm2) than the women in biceps brachii and significantly larger type II fiber areas (7700 vs 4040 μm2) and mean fiber areas (7070 vs 4290 μm2) in vastus lateralis. No significant gender difference was found in the strength to CSA ratio for elbow flexion or knee extension, in biceps fiber number (180 620 in men vs 156 872 in women), muscle area to fiber area ratio in the vastus lateralis 451 468 vs 465 007) or any motor unit characteristics. Data suggest that the greater strength of the men was due primarily to larger fibers. The greater gender difference in upper body strength can probably be attributed to the fact that women tend to have a lower proportion of their lean tissue distributed in the upper body. It is difficult to determine the extent to which the larger fibers in men represent a true biological difference rather that a difference in physical activity, but these data suggest that it is largely an innate gender difference.

889 citations


"A physical fitness profile of state..." refers background in this paper

  • ...Given that males tend to have greater skeletal muscle mass [21] and that greater muscle mass is a major factor in gender-related differences in strength [22, 23], the differences in strength (leg/back dynamometer, grip strength), strength endurance (pushups) and strength influenced movements (e....

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Journal ArticleDOI
TL;DR: Gender, age, and weight were identified as independent predictors of force for all muscle actions on both the dominant and nondominant sides and may allow clinicians who follow the described testing protocol to estimate the severity of force-generating impairments in patients aged 50 to 79 years.
Abstract: Background and Purpose. The extent of a patient's impairment can be established by comparing measurements of that patient's performance with normative values obtained from apparently unimpaired individuals. Only a few studies have described normative values for muscle strength measured by hand-held dynamometry. The purpose of this study of older adults, therefore, was to obtain normative values of maximum voluntary isometric force using hand-held dynamometers. Subjects. One hundred fifty-six asymptomatic adults (77 men, 70 women) participated in this study. The subjects' mean age was 64.4 years (SD=8.3, range=50–79). The male subjects' mean age was 64.5 years (SD=8.4, range=50–79), and the female subjects' mean age was 64.3 years (SD=8.2, range=50–79). Methods. Gender, age, dominant side, height, weight, and activity level were recorded. Eight upper-extremity movements (shoulder flexion, extension, abduction, and medial and lateral rotation; elbow flexion and extension; and wrist extension) and five lower-extremity movements (hip flexion and abduction, knee flexion and extension, and ankle dorsiflexion) were resisted by one of three experienced testers using a strain-gauge hand-held dynamometer. Results. Gender, age, and weight were identified as independent predictors of force for all muscle actions on both the dominant and nondominant sides. These variables were used, therefore, to create regression equations and normative values for the force of each muscle action. Conclusion and Discussion. The reference values provided may allow clinicians who follow the described testing protocol to estimate the severity of force-generating impairments in patients aged 50 to 79 years.

599 citations


"A physical fitness profile of state..." refers background in this paper

  • ...Isometric leg/back strength Although potentially not as precise an isometric midthigh pull on a force plate, the leg/back chain dynamometer does provide the advantage of being less expensive, more efficient, and easily transportable, and still capable of providing quantitative data [19]....

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