Assessment of abdominal obesity using 3D body scanning technology

Abdominal obesity is an important contributor for health risk factors such as hypertension, diabetes mellitus and hypercholesterolemia. Therefore, the application of a proper method is important prerequisite in performing abdominal obesity assessment. In this study, we applied 3D body scanning techn...

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Main Authors:	Suhana Japar, Thamilvaani Manaharan, Asma Ahmad Shariff, Abdul Majid Mohamed, Amir Feisal Merican Aljunid Merican
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:	http://journalarticle.ukm.my/11033/ http://journalarticle.ukm.my/11033/ http://journalarticle.ukm.my/11033/1/08%20Suhana%20Japar.pdf

id	ukm-11033
recordtype	eprints
spelling	ukm-110332017-11-27T12:07:47Z http://journalarticle.ukm.my/11033/ Assessment of abdominal obesity using 3D body scanning technology Suhana Japar, Thamilvaani Manaharan, Asma Ahmad Shariff, Abdul Majid Mohamed, Amir Feisal Merican Aljunid Merican, Abdominal obesity is an important contributor for health risk factors such as hypertension, diabetes mellitus and hypercholesterolemia. Therefore, the application of a proper method is important prerequisite in performing abdominal obesity assessment. In this study, we applied 3D body scanning technology to measure waist circumference (WC), hip circumference (HC) and waist to hip ratio (WHR) precisely in an effort to improve the current health assessment for abdominal obesity. A total of 200 Malaysian women with sedentary lifestyle, aged between 18 and 60 years participated in this study. Paired t-test was used to determine the differences between the automated (3D body scanner) and manual measurements of WC, HC and WHR. 3D body scanner measurements show that 27% of subjects had mild abdominal obesity (80 - 90 cm) and 34.5% of subjects had severe abdominal obesity (≥90 cm) based on WC cutoff points. Based on WHR cutoff points, 57% of subjects had abdominal obesity (≥0.85) while the remaining were without abdominal obesity (<0.85). Lower percentages of abdominal obesity prevalence were reported for both WC and WHR categories using manual measurements. We also found that in normal BMI category, 8.5% of subjects have mild abdominal obesity based on automated measurements while only 5.5% of subjects were identified on manual measurements. The result of this study indicated that 3D body scanner provided better assessment method as it enables detection of abdominal obesity in more subjects based on WC and WHR categories. Public agencies are encouraged to consider the application of 3D body scanning in health assessment of abdominal obesity. Penerbit Universiti Kebangsaan Malaysia 2017-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11033/1/08%20Suhana%20Japar.pdf Suhana Japar, and Thamilvaani Manaharan, and Asma Ahmad Shariff, and Abdul Majid Mohamed, and Amir Feisal Merican Aljunid Merican, (2017) Assessment of abdominal obesity using 3D body scanning technology. Sains Malaysiana, 46 (4). pp. 567-573. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num4_2017/contentsVol46num4_2017.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Abdominal obesity is an important contributor for health risk factors such as hypertension, diabetes mellitus and hypercholesterolemia. Therefore, the application of a proper method is important prerequisite in performing abdominal obesity assessment. In this study, we applied 3D body scanning technology to measure waist circumference (WC), hip circumference (HC) and waist to hip ratio (WHR) precisely in an effort to improve the current health assessment for abdominal obesity. A total of 200 Malaysian women with sedentary lifestyle, aged between 18 and 60 years participated in this study. Paired t-test was used to determine the differences between the automated (3D body scanner) and manual measurements of WC, HC and WHR. 3D body scanner measurements show that 27% of subjects had mild abdominal obesity (80 - 90 cm) and 34.5% of subjects had severe abdominal obesity (≥90 cm) based on WC cutoff points. Based on WHR cutoff points, 57% of subjects had abdominal obesity (≥0.85) while the remaining were without abdominal obesity (<0.85). Lower percentages of abdominal obesity prevalence were reported for both WC and WHR categories using manual measurements. We also found that in normal BMI category, 8.5% of subjects have mild abdominal obesity based on automated measurements while only 5.5% of subjects were identified on manual measurements. The result of this study indicated that 3D body scanner provided better assessment method as it enables detection of abdominal obesity in more subjects based on WC and WHR categories. Public agencies are encouraged to consider the application of 3D body scanning in health assessment of abdominal obesity.
format	Article
author	Suhana Japar, Thamilvaani Manaharan, Asma Ahmad Shariff, Abdul Majid Mohamed, Amir Feisal Merican Aljunid Merican,
spellingShingle	Suhana Japar, Thamilvaani Manaharan, Asma Ahmad Shariff, Abdul Majid Mohamed, Amir Feisal Merican Aljunid Merican, Assessment of abdominal obesity using 3D body scanning technology
author_facet	Suhana Japar, Thamilvaani Manaharan, Asma Ahmad Shariff, Abdul Majid Mohamed, Amir Feisal Merican Aljunid Merican,
author_sort	Suhana Japar,
title	Assessment of abdominal obesity using 3D body scanning technology
title_short	Assessment of abdominal obesity using 3D body scanning technology
title_full	Assessment of abdominal obesity using 3D body scanning technology
title_fullStr	Assessment of abdominal obesity using 3D body scanning technology
title_full_unstemmed	Assessment of abdominal obesity using 3D body scanning technology
title_sort	assessment of abdominal obesity using 3d body scanning technology
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2017
url	http://journalarticle.ukm.my/11033/ http://journalarticle.ukm.my/11033/ http://journalarticle.ukm.my/11033/1/08%20Suhana%20Japar.pdf
first_indexed	2023-09-18T19:59:09Z
last_indexed	2023-09-18T19:59:09Z
_version_	1777406730929438720

Assessment of abdominal obesity using 3D body scanning technology

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