Abstract

Our study aimed to compare the ability of anthropometric obesity indices to predict MetS and to determine the sex-specific optimal cut-off values for MetS among Malaysian vegetarians. Body weight, height, waist circumference (WC), blood pressure (BP), fasting venous blood sample were collected from 273 vegetarians in Selangor and Kuala Lumpur, Malaysia. The abilities of body mass index (BMI), body fat percentage (BF%), waist to height ratio (WHtR), lipid accumulation product (LAP), visceral adiposity index (VAI), a body shape index (ABSI), and body roundness index (BRI) to identify MetS were tested using receiver operating characteristic (ROC) curve analyses. MetS was defined according to the Joint Interim Statement 2009. The ROC curve analyses show that BMI, BF%, WHtR, LAP and VAI were able to discriminate MetS in both sexes. LAP was a better predictor to predict MetS, followed by WHtR for male and female vegetarians. The suggested WHtR’s optimal cut-offs and LAP’s optimal cut-offs for MetS for male and female vegetarians were 0.541, 0.532, 41.435 and 21.743, respectively. In conclusion, LAP was a better predictor to predict MetS than other anthropometric obesity indices. However, WHtR could be an alternative obesity index in large epidemiology survey due to its convenient and cost-effective characteristics.

Details

Title
Comparisons of conventional and novel anthropometric obesity indices to predict metabolic syndrome among vegetarians in Malaysia
Author
Ching, Yuan Kei 1 ; Chin, Yit Siew 2 ; Mahenderan, Appukutty 3 ; Gan Wan Ying 1 ; Chan, Yoke Mun 2 

 Universiti Putra Malaysia, Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Serdang, Malaysia (GRID:grid.11142.37) (ISNI:0000 0001 2231 800X) 
 Universiti Putra Malaysia, Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Serdang, Malaysia (GRID:grid.11142.37) (ISNI:0000 0001 2231 800X); Universiti Putra Malaysia, Research Centre of Excellence, Nutrition and Non-Communicable Diseases, Faculty of Medicine and Health Sciences, Serdang, Malaysia (GRID:grid.11142.37) (ISNI:0000 0001 2231 800X) 
 Universiti Teknologi MARA, Programme of Sports Science, Faculty of Sports Science and Recreation, Shah Alam, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473271637
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.