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Importance of anthropometry in assessing insulin resistance as a pre-alarming sign before the onset of metabolic syndrome; a study among apparently healthy subjects

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dc.contributor.author Walatara, K.N.W.
dc.contributor.author Athiththan, L.V.
dc.contributor.author Hettiaratchi, U.P.K.
dc.contributor.author Perera, P.R.
dc.date.accessioned 2017-11-08T06:11:40Z
dc.date.available 2017-11-08T06:11:40Z
dc.date.issued 2015-08-27
dc.identifier.citation Walatara, K.N.W., Athiththan, L.V., Hettiaratchi, U.P.K., Perera. P.R. (2015). "Importance of anthropometry in assessing insulin resistance as a pre-alarming sign before the onset of metabolic syndrome; a study among apparently healthy subjects", International Journal of Diabetes in Developing Countries, pp. 1-8 en_US, si_LK
dc.identifier.uri http://dr.lib.sjp.ac.lk/handle/123456789/6683
dc.description.abstract Attached en_US, si_LK
dc.description.abstract Insulin resistance (IR) and obesity are inter-related causes of metabolic syndrome. Early identification before the onset o f metabolic syndrome will be useful to lead a healthy life. The purpose o f the present study was to identify the importance of IR before the onset o f metabolic syndrome in apparently healthy, non-diabetics subjects. Data o f 227 apparently healthy non-diabetics (20-70 years) who reside in a suburban area in Colombo district, Sri Lanka, were recruited for this study. Fasting blood glucose (FBG), fasting serum insulin (FSI), weight, height, waist circumference (WC), hip circumference (HC), and mid-upper arm circumference (MUAC) were measured and homeostatic model assessment for insulin resistance (HOMA-IR) was calculated. Body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (W H tR ) w ere calculated. D ata w ere analyzed using Statistical Package for Social Science (ver.17). Majority were females (61.8 %). Prevalence o f IR was 59.9 %. Mean BMI of IR subjects was 28.3±2.7 kg m_2where 75.3 % o f obese had IR. All anthropometric variables except height had significant positive correlations (P<0.01) with IR. Linear regression analysis indicated that BMI is useful in predicting IR while logistic regression analysis showed that BMI and WC are the 13 Lohini V. Athiththan lohinia@gmail.com Kasuni N. W. Walatara kasuniwalatara@yahoo.com Usha P. K. Hettiaratchi kumari31 @yahoo.com Pradeep R. Perera rasika@sjp.ac.lk 1 Department of Biochemistry, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka best predictors of IR in males whereas it was WHtR and WC in females. Even though study subjects were apparently healthy and not diagnosed as diabetes, those with elevated anthropometric parameters had higher prevalence o f IR. Best anthropometric predictors of IR for a specific sex should be used as an easy self-monitoring alarming sign before the onset of metabolic syndrome.
dc.language.iso en_US en_US, si_LK
dc.publisher International Journal of Diabetes in Developing Countries en_US, si_LK
dc.subject Insulin resistance en_US, si_LK
dc.subject Body mass index en_US, si_LK
dc.subject Waist circumference en_US, si_LK
dc.subject Apparently healthy en_US, si_LK
dc.subject Waist-to-height ratio en_US, si_LK
dc.subject Waist-to-hip ratio en_US, si_LK
dc.title Importance of anthropometry in assessing insulin resistance as a pre-alarming sign before the onset of metabolic syndrome; a study among apparently healthy subjects en_US, si_LK
dc.type Article en_US, si_LK


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