Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity
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 circumferenc...
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Format: | Article |
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Taylor & Francis Group
2022-11-01
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Series: | Annals of Human Biology |
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Online Access: | http://dx.doi.org/10.1080/03014460.2022.2147585 |
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author | Nie Yen Low Chin Yi Chan Shaanthana Subramaniam Kok-Yong Chin Soelaiman Ima Nirwana Norliza Muhammad Ahmad Fairus Pei Yuen Ng Nor Aini Jamil Noorazah Abd Aziz Norazlina Mohamed |
author_facet | Nie Yen Low Chin Yi Chan Shaanthana Subramaniam Kok-Yong Chin Soelaiman Ima Nirwana Norliza Muhammad Ahmad Fairus Pei Yuen Ng Nor Aini Jamil Noorazah Abd Aziz Norazlina Mohamed |
author_sort | Nie Yen Low |
collection | DOAJ |
description | 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. |
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issn | 0301-4460 1464-5033 |
language | English |
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spelling | doaj.art-79c1b6d76d20400c9e4e294d3d3d07a52023-09-15T08:45:20ZengTaylor & Francis GroupAnnals of Human Biology0301-44601464-50332022-11-01497-829930410.1080/03014460.2022.21475852147585Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposityNie Yen Low0Chin Yi Chan1Shaanthana Subramaniam2Kok-Yong Chin3Soelaiman Ima Nirwana4Norliza Muhammad5Ahmad Fairus6Pei Yuen Ng7Nor Aini Jamil8Noorazah Abd Aziz9Norazlina Mohamed10Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Anatomy, Faculty of Medicine, Universiti Kebangsaan MalaysiaCentre of Drug Delivery Research, Faculty of Pharmacy, Universiti Kebangsaan Malaysia Kuala Lumpur CampusSchool of Healthcare Sciences, Faculty of Health Science, Universiti Kebangsaan MalaysiaDepartment of Family Medicine, Faculty of Medicine, Universiti Kebangsaan MalaysiaDepartment of Pharmacology, Faculty of Medicine, Universiti Kebangsaan MalaysiaBackground 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.http://dx.doi.org/10.1080/03014460.2022.2147585body fat percentagefat massobesityoverweightscreening tool |
spellingShingle | Nie Yen Low Chin Yi Chan Shaanthana Subramaniam Kok-Yong Chin Soelaiman Ima Nirwana Norliza Muhammad Ahmad Fairus Pei Yuen Ng Nor Aini Jamil Noorazah Abd Aziz Norazlina Mohamed Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity Annals of Human Biology body fat percentage fat mass obesity overweight screening tool |
title | Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity |
title_full | Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity |
title_fullStr | Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity |
title_full_unstemmed | Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity |
title_short | Comparing the performance of body mass index, waist circumference and waist-to-height ratio in predicting Malaysians with excess adiposity |
title_sort | comparing the performance of body mass index waist circumference and waist to height ratio in predicting malaysians with excess adiposity |
topic | body fat percentage fat mass obesity overweight screening tool |
url | http://dx.doi.org/10.1080/03014460.2022.2147585 |
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