National Journal of Community Medicine

Original Article

Year: 2020 | Volume: 11 | Issue: 6 | Page No: 258-261

Anthropometric Predictors in Assessment of Metabolic Syndrome among Obese Adults

Author: Vijayalaxmi Mangasuli1, Mayur S Sherkhane2


1Assistant Professor, Department of Community Medicine, Basaveshwara Medical College and Hospital, Chitradurga

2Professor and Head, Department of Community Medicine, SDM College of Medical Sciences and Hospital, Dharwad


Background: Central obesity is the important risk factor in metabolic syndrome which is in turn cardio-vascular risk factor which will in-crease the morbidity and mortality. The study was conducted to assess the anthropometric indices in pre-dicting metabolic syndrome among obese adults. Methods: Cross sectional study was done among 264 adults having BMI more than 35 and visiting our hos-pital for a period of three months were included. A predesigned and pretested proforma was used to col-lect data. Anthropometric meas-urements, Blood pressure and dia-betic profile was measured. Data was analysed using SPSS. Results: Among 264 adults, 118 (44.69%) had metabolic syndrome; Majority belonged to 30- 39 years (40.15%); educated up to PUC (32.58%) and belonged to class II so-cio-economic status (38.64%). There was significant mean difference be-tween waist circumference, diastolic blood pressure, HDL levels and FBS levels among the study participants who had and who didn’t have met-abolic syndrome. Area under curve (AUC) for waist: height ratio was 0.969, whereas for waist circumfer-ence and BMI it was 0.956 and 0.689 respectively. Conclusion: Waist: height ratio can predict metabolic syndrome better than waist circumference and BMI. Central obesity should be identified at the earliest than general obesity. So that lifestyle modifications can be advised in early life to avoid fur-ther morbidity leading to further permanent disabilities and life threatening events in future.

Keywords: Anthropometry, Assessment, Meta-bolic syndrome, Obesity, Risk factor

DOI: 10.5455/njcm.20191202101708