DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20193470

A study of waist circumference and waist-hip ratio as markers of type 2 diabetes mellitus in an urban population of district Bareilly

Mohammad Suhail Khan, Ausaf Ahmad, Sumit Saxena, Atul Kumar Singh, S. B. Gupta

Abstract


Background: Type 2 diabetes mellitus belongs to a group of diseases labelled as lifestyle diseases and is on the rise in Asians especially Indians. Hence finding bio-markers is important to warn people and create awareness.  Aim of the present study is to estimate waist-hip ratio, waist circumference in type 2 diabetic patients with respect to gender.  

Methods: A cross-sectional, community based study was conducted from February 2014 to February 2015 among adults in the age group of 30 year and above residing in area covered under UHTC of Bareilly City. A simple random sampling technique was adopted to achieve the desired sample size. 640 is the sample size came out to be by applying 3.8 4𝑃𝑄/d2 formula. Subject’s waist circumference, waist-hip ratio was measured in study samples. House to house survey was done for collecting data. Data tabulated and subjected to statistical analysis.  

Results: Prevalence of DM and IFG was more in those who were having high waist circumference and the association was also found to be statistically significant. The association was also found statistically significant between male high waist hip ratio and Diabetes Mellitus but no association was seen between female’s high waist-hip ratio and Diabetes Mellitus.

Conclusions: High waist circumference can be a screening procedure for DM individuals in both sexes, but the same scenario we haven’t seen in high waist hip ratio among females and prevalence of DM. Appropriate waist circumference and waist-to-hip ratio values are complex because they are likely influenced by gender and other factors. 


Keywords


Gender, Hip, Diabetes, Waist

Full Text:

PDF

References


King H, Rewers M. Diabetes in adults is now a Third World Problem. The WHO Ad Hoc Diabetes Reporting Group. Bull World Health Organ. 1991;69(6):643-8.

Bjork S, Kapur A, King H, Nair J, Ramachandran A. Global policy: aspects of diabetes in India. Health Policy. 2003;66(1):61-72.

Sicree R, Shaw J, Zimmet P. Diabetes and impaired glucose tolerance. In: Gan D, eds. Diabetes Atlas. 4th ed. Belgium: International Diabetes Federation; 2009: 1-105.

Anjana RM, Ali MK, Pradeepa R, Deepa M, Datta M, Unnikrishnan R, et al. The need for obtaining accurate nationwide estimates of diabetes prevalence in India - Rationale for a national study on diabetes. Indian J Med Res. 2011;133:369-80.

Gokhale VS, Jagdale N, Batra T, Gulati S. A study of waist circumference, waist-hip ratio as markers of type 2 diabetes mellitus and their correlation with family history of diabetes. Int J Res Med Sci. 2017;5(1):70-4.

Stevens J, Katz EG, Huxley RR. Associations between gender, age and waist circumference. Eur J Clin Nutr. 2010;64(1):6-15.

Ford ES, Mokdad AH, Giles WH. Trends in waist circumference among US adults. Obes Res. 2003;11(10):1223-31.

Ko GT, Chan JC, Woo J, Lau E, Yeung VT, Chow CC, et al. Simple anthropometric indexes and cardiovascular risk factors in Chinese. Int J Obes Relat Metab Disord. 1997;21(11):995-1001.

Berber A, Gomez-Santos R, Fanghanel G, Sanchez-Reyes L. Anthropometric indexes in the prediction of type 2 diabetes mellitus, hypertension and dyslipidaemia in a Mexican population. Int J Obes Relat Metab Disord. 2001;25(12):1794-9.

Shimokata H, Andres R, Coon PJ, Elahi D, Muller DC, Tobin JD. Studies in the distribution of body fat. II. Longitudinal effects of change in weight. Int J Obes. 1989;13(4):455-64.

Jayawardena R, Ranasinghe P, Byrne NM, Soares MJ, Katulanda P, Hills AP. Prevalence and trends of the diabetes epidemic in South Asia: a systematic review and meta-analysis. BMC Public Health. 2012;12:380.