Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers

SUMMARY: 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 scor...

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Autores principales: Kukic,Filip, Dopsaj,Milivoj, Dawes,Jay, Orr,Robin, Cvorovic,Aleksandar
Lenguaje:English
Publicado: Sociedad Chilena de Anatomía 2018
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022018000401407
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spelling oai:scielo:S0717-950220180004014072019-09-16Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police OfficersKukic,FilipDopsaj,MilivojDawes,JayOrr,RobinCvorovic,Aleksandar Assessment Anthropometrics Physical performance Law enforcement officers SUMMARY: 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&#8217; fitness, when conducting the physical tests is not possible or safe (obese and injured POs or bad weather conditions).info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.36 n.4 20182018-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022018000401407en10.4067/S0717-95022018000401407
institution Scielo Chile
collection Scielo Chile
language English
topic Assessment
Anthropometrics
Physical performance
Law enforcement officers
spellingShingle Assessment
Anthropometrics
Physical performance
Law enforcement officers
Kukic,Filip
Dopsaj,Milivoj
Dawes,Jay
Orr,Robin
Cvorovic,Aleksandar
Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers
description SUMMARY: 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&#8217; fitness, when conducting the physical tests is not possible or safe (obese and injured POs or bad weather conditions).
author Kukic,Filip
Dopsaj,Milivoj
Dawes,Jay
Orr,Robin
Cvorovic,Aleksandar
author_facet Kukic,Filip
Dopsaj,Milivoj
Dawes,Jay
Orr,Robin
Cvorovic,Aleksandar
author_sort Kukic,Filip
title Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers
title_short Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers
title_full Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers
title_fullStr Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers
title_full_unstemmed Use of Human Body Morphology as an Indication of Physical Fitness: Implications for Police Officers
title_sort use of human body morphology as an indication of physical fitness: implications for police officers
publisher Sociedad Chilena de Anatomía
publishDate 2018
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022018000401407
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