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Bezbednost, Beograd
2017, vol. 59, iss. 2, pp. 5-26
article language: English
document type: Original Scientific Paper
published on: 21/12/2017
doi: 10.5937/bezbednost1702005K
Factorial analysis of body composition in Abu Dhabi policemen
aStrategic management and performance improvement department, Sport activities section, Abu Dhabi Police, UAE
bUniversity of Belgrade, Faculty of Sports and Physical Education



Effects of the Applied Physical Activity to Locomotor, Metabolic, Psycho-Social and Educational Status of the Population of the Republic of Serbia (MESTD - 47015)


The aim of this study was to define the factors that influence the structure of the body composition in Abu Dhabi police workforce. Body composition of 120 randomly-selected different-age male officers was measured during October and November 2016 in Sports activities section of Abu Dhabi Police. Characteristics of the sample were: age 32.70±7.62 years, body height (BH) 173.54±6.24 cm, body weight (BW) 80.55±11.36 kg and body mass index (BMI) 26.76±3.60 kg/m2. Eleven variables were statistically evaluated using factorial analysis of variance: percentage of body fat (PBF), percentage of skeletal muscle mass (PSMM), percentage of protein mass (PPM), volume-independent visceral fat area (VFA/kg), body fat mass index (BFMI), skeletal muscle mass index (SMMI), protein mass index (PMI), fat-free mass index (FFMI), visceral fat area index (VFAI), protein-fat index (PFI), and index of hypokinezia (IH). KMO and Bartlett's test showed very good sampling adequacy of 0.661 with significance level lower than 0.001. Principal component analysis showed high cumulative values. Accordingly, the proportion of variance of each variable that can be explained by factor is very high. Factor loading showed the three most important factors that explained 97.004: I - INACTIVITY AND NUTRITION, II - PHYSICAL ACTIVITY AND EXERCISE, and III - SEDENTARY LIFESTYLE. For the purposes of monitoring of inactivity level along with eating habits, two index variables could be followed - PPM and PBF; For monitoring the quality of the physical activity and the planned exercise program - PMI and FFMI; for the influence of lifestyle on body composition - VFA/kg and VFAI could be followed.



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