Research with police officers (POs) suggests an association between body composition, physical performance and health. The aim of the study was to investigate the associations between body composition and measures of physical fitness, and their use to predict estimated physical fitness score (EPFS). The sample included 163 male POs (age = 31.61 ± 4.79 years, height = 172.97 ± 6.09 cm, body mass = 77.53 ± 11.66 kg). Eight body composition variables: body mass index (BMI), body fat mass index (BFMI), percent of body fat (PBF), percent skeletal muscle mass (PSMM), index of hypokinezia (IH), skeletal muscle mass index (SMMI), protein mass index (PMI), and fat-free mass index (FFMI); and four physical fitness measures: a 3.2 km run, a 2-minute push-up, 2-minute sit-up and estimated physical fitness score (EPFS) were correlated, followed by the regression analysis for causal relationship between body composition and EPFS. Running 3.2 km test correlated to BMI, PBF, PSMM, BFMI, and SMMI (r = 0.274, 0.250, -0.234, 0.311, p<0.01, respectively); 2-minute push-up correlated to PBF, PSMM, BFMI, SMMI, PMI, IH, and FFMI (r = -0.413, 0.436, -0.375, 0.221, 0.231, -0.411, 0.261, p<0.01, respectively); 2-minute sit-up correlated to PBF, PSMM, BFMI, and IH (r = -0.237, 0.250, -0.236, -0.218, p<0.01, respectively); and EPFS correlated to BMI, FFMI, PBF, PSMM, BFMI, and IH (r = -0.200, 0.168, p<0.05, and r = -0.369, 0.378, 0.376, -0.317, p <0.01, respectively). Two models of predictions were extracted: 1) PBF, BFMI, PMI and FFMI (R2 = 0.250, p<0.001); 2) PBF, BFMI and PMI (R2 = 0.244, p<0.001). Obtained prediction models may be a promising screening method of a POs’ fitness, when conducting the physical tests is not possible or safe (obese and injured POs or bad weather conditions).

Čvorović, A, Kukić, F, Orr, RM, Dawes, JJ, Jeknić, V, and Stojković, M. Impact of a 12-week postgraduate training course on the body composition and physical abilities of police trainees. J Strength Cond Res 35(3): 826–832, 2021—The main objective of this study was to determine the effects of a 12-week physical training program on police trainees at the Abu Dhabi Police College. Anthropometric and fitness testing data for 325 healthy trainees, enrolled in an academic course for qualification as a police officer, were analyzed. The trainees were tested 3 times, during the initial (week 1), midpoint (week 7), and final testing (week 13) phases of the training program. The tested variables included anthropometry (body mass [BM]), body composition (body mass index [BMI]; waist circumference [WC]; waist-to-height ratio [WHtR]), upper-body muscular endurance (1-minute push-up [PU]), trunk muscular endurance (1-minute sit-up [SU]), and aerobic endurance (2.4-km run [RUN]). A 1-way analysis of variance with post hoc Bonferroni adjustment was performed to investigate the changes in anthropometry and fitness across the 3 testing periods with percentages of change calculated at each testing stage. Alpha levels were set at 0.05 a priori. Statistically significant differences (range of p values from p < 0.001 to p < 0.05) were found in all tested variables (BM, BMI, WC, WHtR, PU, SU, and RUN) and between all testing stages (initial, midpoint, and final). A progressive physical training program that incorporates mesocycles and midpoint evaluations can have a positive impact on the fitness of trainees even when undergoing a busy academy program.

Purpose: Leisure-time physical activity (LTPA) has always been very important for the maintenance and improvement of body composition. Thus, the aim of this study was to examine if the frequency and volume of LTPA (F-LTPA and V-LTPA) were related to indices of body composition in police officers. Method: A physical activity questionnaire was used to collect data from 346 male police officers regarding their F-LTPA and V-LTPA. They were divided into four groups relative to the frequency, and four groups relative to the volume of LTPA, labeled as inactive, seldom active, moderately active and very active for each LTPA indicator. Percent body fat (PBF), skeletal muscle mass (PSMM), skeletal muscle mass index (SMMI) and body fat mass index (BFMI) were assessed. Correlation analyses investigated associations and multivariate analysis of variance analysed the differences between body composition and LTPA, with significance set at p < .05. Results: The F-LTPA correlated (p < .001) to PBF (r = −0.306), BFMI (r = −0.289), PSMM (r = 0.309) and SMMI (r = −0.138, p = .010). The V-LTPA correlated (p < .001) to PBF (r = −0.370), BFMI (r = −0.348), PSMM (r = 0.311), and SMMI (r = −0.106, p = .049). The differences that occurred between more and less active police officers, whereby those who were very active had lower values of PBF and BFMI and higher values of PSMM and SMMI regardless of the frequency and volume of LTPA. PBF and PSMM were more affected by LTPA than SMMI and BFMI. Conclusions: F-LTPA and V-LTPA were considered important for police officers, whereby F-LTPA was related to muscle and V-LTPA to fat parameters of body composition.

Female police officers may be required to pursue offenders on foot while wearing occupational loads. The aim of this study was to determine relationships between fitness measures and change of direction speed (CODS) in female police officers and the influence of their occupational loads. Retrospective data were provided for 27 female police officers (age = 32.19 ± 5.09 y, height = 162.78 ± 5.01 cm, and mass = 71.31 ± 13.42 kg) and included fitness measures of: lower-body power (standing long jump (SLJ)), upper-body and trunk muscle endurance (push-up (PU) and sit-up (SU)), aerobic power (estimated VO_2max), and CODS (Illinois agility test). The CODS test was performed without and with occupational load (10 kg). Paired sample t-tests (between-load conditions) and Pearson’s correlations (relationships between measures) were performed with linear regression analysis used to account for the contribution of measures to unloaded and loaded CODS performance. CODS was significantly slower when loaded (unloaded = ~23.17 s, loaded = ~24.14 s, p < 0.001) with a strong, significant relationship between load conditions (r = 0.956, p < 0.001). Moderate to strong, significant relationships were found between all fitness measures ranging from estimated VO_2max (r = −0.448) to SU (r = −0.673) in the unloaded condition, with the strength of these relationships increasing in the loaded condition accounting for 61% to 67% of the variance, respectively. While unloaded agility test performance was strongly associated with loaded performance, female police officer CODS was significantly reduced when carrying occupational loads. A variety of fitness measures that influence officer CODS performances become increasingly important when occupational loads are carried.

This study investigated differences in the body composition of police officers from different occupational groups and the moderation effects of leisure time physical activity (LTPA). A sample of 237 police officers (special anti-terrorist unit, gendarmerie, firefighters, and general duties) participated in the study. Body mass index (BMI), percent of body fat (%BF), percent of skeletal muscle mass (%SMM), and index of hypokinesia (IH) were assessed using a multichannel bioelectric impedance analyzer and officers reported the amount of LTPA using an international physical activity questionnaire. The sample was divided in three groups relative to LTPA, sedentary (0–149 min/week), moderately active (150–299 min/week), and very active (300+ min/week). Multiple analysis of variance (4 × 3) was used to analyze if occupational groups differed based solely on occupation, if officers from the same occupation differed in muscularity and fatness based on LTPA, and if any differences in body composition occurred between officers from different occupations with the same level of LTPA. Police officers from more physically demanding occupations demonstrated lower %BF and IH, while having higher %SMM. This was also observed among the officers of the same occupation who reported a higher LTPA, while officers who reported very high LTPA had similar body composition.

Regardless of sex or body size, police tasks may require officers to change direction speed (CODS) under occupational loads. The purpose of this study was to investigate body composition and CODS in female and male police cadets in both unloaded and occupationally loaded conditions. Body composition and CODS of 51 female (FPC) and 70 male police cadets (MPC) were assessed. Six body composition indices were used: Body mass index (BMI), percent body fat (PBF), percent of skeletal muscle mass (PSMM), protein fat index (PFI), index of hypokinesia (IH), and skeletal muscle mass index (SMMI). The CODS was assessed by Illinois Agility Test (IAT) and IAT while carrying a 10-kg load (LIAT). An independent sample t-test was used to identify the differences between the sexes. The regression determined associations between body composition and LIAT. The alpha level was set at p < 0.05 a priori. MPC had significantly higher (p < 0.001) BMI, PSMM, PFI and SMMI and lower PBF and IH than FPC. MPC were also faster in IAT and LIAT, carrying lower relative loads that imparted less of an impact on CODS performance. Body composition was strongly associated with the time to complete LIAT (R2 = 0.671, p < 0.001). Difference in relative load and body composition influenced CODS performance in both unloaded and loaded conditions. Thus, optimizing body composition through increasing skeletal muscle mass and reducing fat mass could positively influence unloaded and loaded CODS performance and improve elements of police task performance.