Volume 12, Issue 7 (4-2014)                   RSMT 2014, 12(7): 87-95 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Comparison of the predicting body fat equations during a maturation period in adolescent girls (12-16ys). RSMT 2014; 12 (7) :87-95
URL: http://jsmt.khu.ac.ir/article-1-66-en.html
Abstract:   (6178 Views)

Validation of predicting fatness methods in the Iranian girls with respect to the maturity process could help
to identify anthropometric risk factors. This study evaluate the accuracy of four body composition prediction
equations in the teenager students in Hamadan city .Method: The anthropometry profile of 266 adolescent
girls (12-16 ys) including ,weight (55.69±10.18 kg),body mass index (21.93±3.6 kg/m2) and percent body fat
averages (29.65±4.41%) were measured using the bioelectrical impedance analysis (BIA) as a reference
style and the selected skinfold prediction equations, ie, Durnin-Rahaman, Deurenberg , Westrate-
Deurenberg, Slaugter. Results: Significant relationship was observed between BIA and four body
composition prediction equations (p<0/05) with intervene the maturity level. However the most relationship
was found among BIA method and Durnin-Rahaman logarithmic equation (R=0.82-0.92 ,p<001).
Conclusion: It seems that physical education coaches and health-related organizations for athletic
performance and Clinical assessments of body composition in young individuals probably can accurately
utilized fat prediction, especially by applying the Diurnin- Rahaman skinfold equation.

Full-Text [PDF 603 kb]   (3154 Downloads)    
Type of Study: Research |
Received: 2016/06/14 | Accepted: 2016/06/14 | Published: 2016/06/14

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Research in Sport Medicine and Technology

Designed & Developed by: Yektaweb