Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity. (17th November 2022)
- Record Type:
- Journal Article
- Title:
- Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity. (17th November 2022)
- Main Title:
- Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity
- Authors:
- Low, Nie Yen
Chan, Chin Yi
Subramaniam, Shaanthana
Chin, Kok-Yong
Ima Nirwana, Soelaiman
Muhammad, Norliza
Fairus, Ahmad
Ng, Pei Yuen
Jamil, Nor Aini
Abd Aziz, Noorazah
Mohamed, Norazlina - Abstract:
- Abstract: Background: Body mass index (BMI) is a widely used surrogate tool to screen for obesity/adiposity, but it cannot differentiate between lean and fat mass. Thus, alternative tools to detect excess adiposity should be identified. Aim: This study aimed to compare the performance of BMI, waist circumference (WC) and waist-to-height ratio (WtHR) in predicting Malaysians with excess body fat defined by dual-energy X-ray absorptiometry (DXA). Subjects and methods: A total of 399 men and women aged ≥40 years were recruited from Klang Valley, Malaysia. The body composition of the subjects, including body fat percentage, was measured by DXA. The weight, height, WC and WHtR of the subjects were also determined. Results: BMI [sensitivity = 55.7%, specificity = 86.1%, area under curve (AUC) = 0.709] and WC (sensitivity = 62.7%, specificity = 90.3%, AUC = 0.765) performed moderately in predicting excess adiposity. Their performance and sensitivity improved with lower cut-off values. The performance of WHtR (sensitivity = 96.6%, specificity = 36.1, AUC = 0.664) was optimal at the standard cut-off value and no modification was required. Conclusion: The performance of WC in identifying excess adiposity was greater than BMI and WHtR based on AUC values. Modification of cut-off values for BMI and WC could improve their performance and should be considered by healthcare providers in screening individuals with excess adiposity.
- Is Part Of:
- Annals of human biology. Volume 49:Number 7/8(2022)
- Journal:
- Annals of human biology
- Issue:
- Volume 49:Number 7/8(2022)
- Issue Display:
- Volume 49, Issue 7/8 (2022)
- Year:
- 2022
- Volume:
- 49
- Issue:
- 7/8
- Issue Sort Value:
- 2022-0049-NaN-0000
- Page Start:
- 299
- Page End:
- 304
- Publication Date:
- 2022-11-17
- Subjects:
- Body fat percentage -- fat mass -- obesity -- overweight -- screening tool
Human biology -- Periodicals
612 - Journal URLs:
- http://informahealthcare.com/loi/ahb ↗
http://www.tandf.co.uk/journals/titles/03014460.asp ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/03014460.2022.2147585 ↗
- Languages:
- English
- ISSNs:
- 0301-4460
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1040.900000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26251.xml