Determination of Body Fat Percentage by Body State Devices and Dual Energy X-Ray Absorptiometry

Mostafa, Reham A. and Negm, Doaa R. and ElSawy, Naser A. (2019) Determination of Body Fat Percentage by Body State Devices and Dual Energy X-Ray Absorptiometry. Asian Journal of Medicine and Health, 17 (2). pp. 1-12. ISSN 2456-8414

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Abstract

Background: Dual energy X-ray absorptiometry (DEXA) is the most accurate technique in determining fat percentage but it is unpotable, expensive, unavailable for general applicability.

Objective: This study aimed to find the most accurate and easiest technique as alternative to DEXA for quick determination of body fat%. This study examined the accuracy of three models of Bioelectrical impedance analysis (BIA) technique (Fat Loss Monitor- Body Composition -Body Fat Analyzer) in determining the body fat percentage with using DEXA as a reference standard.

Subject and Methods: A cross sectional study was carried out during the period from (28-9-2017) to (5-4-2018) among a random sample of (53) volunteers female student in Umm Al Qura University from Faculty of Applied Medical Science aged between (20-39 years) from different level of education. All subjects were generally healthy, data was collected through a structured questionnaire compose of three section. Demographic data was collected and anthropometric measurements were evaluated as well as body composition (Only body fat%) using DEXA, body composition monitor, fat loss monitor and body fat analyzer.

Results: BMI classification of the total 53 subjects was including 8 healthy females, 17 overfat, 25 obese and 3 underweight. The fat% result from DEXA and body fat analyzer was significant difference at (P < 0.05). Fat percent result from DEXA and Body Composition device was non-significant difference at (P>0.05). The fat% result from DEXA and Fat Loss Monitor device was significant at difference (P<0.05).

Conclusion: The most accurate of BIA technique was the Body Composition device compering to DEXA.

Item Type: Article
Subjects: Research Scholar Guardian > Medical Science
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 29 Apr 2023 07:26
Last Modified: 08 Apr 2024 09:20
URI: http://science.sdpublishers.org/id/eprint/480

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