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2020, vol. 25, iss. 3, pp. 3-16
Accuracy and predictive capability of body mass index in evaluation of obesity and body fatness level in police officers
aAbu Dhabi Police, Police Sports Education Centre, Abu Dhabi, United Arab Emirates
bOklahoma State University, School of Kinesiology, Applied Health and Recreation, Stillwater, OK, USA
cOklahoma State University, Department of Nutritional Sciences, Stillwater, OK, USA
dUniversity of Belgrade, Faculty of Sports and Physical Education + South Ural State University, Institute of Sport, Tourism and Service, Chelyabinsk, Russia

emailfilip.kukic@gmail.com
Project:
Effects of the Applied Physical Activity to Locomotor, Metabolic, Psycho-Social and Educational Status of the Population of the Republic of Serbia (MESTD - 47015)

Keywords: law enforcement; tactical athletes; body composition; occupational health
Abstract
This study evaluated the accuracy and predictive value of body mass index (BMI) in evaluation of obesity and body fatness. Data on BMI and percent body fat (PBF) were collected on 953 male police officers who were allocated into age groups: 20-29 years, 30-39 years, and 40-49 years. BMI > 30.0 kg/m2 and PBF > 25% were classified as obese, and those with lower values were classified as non-obese. Chi-square was used to evaluate the accuracy in classification in obese and non-obese when officers' BMI was matched to PBF. Pearson's correlation and linear regression analyses determined the prediction value of BMI. Chi-square revealed significant difference in obesity prevalence when evaluated by BMI and PBF, with classification accuracy of 44.5%-71.8%, depending on age. BMI had moderate prediction value of body fatness. If the assessment of PBF is not attainable, BMI needs to be used carefully as it is likely to underestimate obesity among police officers.
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About

article language: English
document type: Original Scientific Paper
DOI: 10.5937/nabepo25-29000
received: 23/10/2020
published: 29/12/2020
published in SCIndeks: 06/03/2021
peer review method: double-blind
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