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Anthropometric indices as novel markers of risk in type 2 diabetes mellitus (T2DM) among Nigerian adults in Zamfara State
Author(s) -
Ikenna Bruno Aguh,
Zurmi Rabiu Sani,
Lynda Chinanu Ohaleme,
Andover Alfred Agba
Publication year - 2021
Publication title -
bio research journal/bio- research
Language(s) - English
Resource type - Journals
eISSN - 1596-7409
pISSN - 2705-3822
DOI - 10.4314/br.v19i1.7
Subject(s) - waist , circumference , logistic regression , medicine , anthropometry , receiver operating characteristic , body mass index , waist–hip ratio , type 2 diabetes mellitus , diabetes mellitus , mathematics , endocrinology , geometry
Body mass index (BMI) has traditionally been used as an indicator of body size measure and composition. Although, other measures of adiposity of the abdomen such as waist circumference (WC), waist-hip ratio (WHR), neck circumference (NC) have been suggested as being superior to BMI in predicting disease outcome. This study was designed to compare different anthropometric variables in term of their ability to predict type 2 diabetes mellitus (T2DM). This was a case-control study in 240 participants involving 120 verified T2DM cases and 120 non-diabetics as control. Age, gender and anthropometric data were collected from each participant. Logistic regression models were used with areas under the receiver operating characteristic (AROC) curve to compare the variables predictive statistics. The AROC of WHR to identify T2DM patients was 0.678 (P 0.05) in the mean HC and NC values between the diabetic and non-diabetic subjects. The non-diabetic subjects have significantly (P>0.05) higher mean height value than the diabetic subjects. Measures of generalized and central obesity were significantly associated with increased risk of developing T2DM. This study revealed that WHR can predict type 2 diabetes mellitus risk more accurately than other anthropometric measures and can thus be helpful in predicting patients with future occurrence of diabetes and providing necessary interventions

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