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VOLUME 7 , ISSUE 3 ( September-December, 2022 ) > List of Articles
Komal Girdhar, Puneet Rijhwani, Mukesh Sarna, Pardeep Agarwal, Sumeet Garg, Mohammed Shoaib
Keywords : Metabolic syndrome, Mid-upper arm circumference, Neck circumference
Citation Information : Girdhar K, Rijhwani P, Sarna M, Agarwal P, Garg S, Shoaib M. To Evaluate the Association of Neck Circumference and Mid-arm Circumference to the Components of Metabolic Syndrome. J Mahatma Gandhi Univ Med Sci Tech 2022; 7 (3):72-74.
License: CC BY-NC 4.0
Published Online: 16-09-2023
Copyright Statement: Copyright © 2022; The Author(s).
Background: Metabolic syndrome (MS) has been long recognized as a risk factor for diseases like diabetes and coronary diseases; hence an easy and inexpensive screening tool is required for early diagnosis and appropriate intervention. Hence the present study was conducted to establish the role of neck circumference (NC) and to explore the role of mid-arm circumference for the screening of MS in day-to-day practice. Materials and methods: The present study was a hospital-based observational, descriptive, and comparative analysis conducted at a tertiary care center in West India after taking Ethical Committee clearance and written informed consent. A total of 159 subjects aged 18–65 years were selected consecutively after inclusion and exclusion criteria, from patients attending General Medicine's Outpatient Department and Inpatient Department. The sample size was calculated at an α-error of 0.05 and a study power of 80%. Results: Neck circumference (NC) and mid-arm circumference were found to be statistically significantly associated with MS and its individual components and cardiovascular risk factors like lipid profile, fasting blood glucose, blood pressure (BP), and waist circumference. Conclusion: In this study, NC, waist circumference, and mid-upper arm circumference (MUAC) were all found to be significantly associated with metabolic parameters. Our results indicated that NC, waist circumference, and MUAC in routine clinical measurement are necessary to screen for metabolic disorders, including dyslipidemia, diabetes, and hypertension. However, NC was discovered to be a simple yet reliable measure that can be used to enhance anthropometric indices in the diagnosis of MS and abdominal obesity.