Ethnicity & disease · 2021
Neck Circumference Cut-Off for Obesity and Metabolic Syndrome in Nigeria.
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Raimi Taiwo Hussean, Dele-Ojo Bolade Folashade, Dada Samuel Ayokunle, Ajayi David Daisi
Аннотация
OBJECTIVE: Neck circumference (NC) is a novel tool for diagnosing cardiometabolic disorders. We aimed to determine the NC cut-off for obesity and metabolic syndrome (MS) prediction in Nigeria.
METHODS: The current study was based on data analysis of 557 staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria, who took part in a cross-sectional health screening (August-December 2018). Body mass index (BMI), waist circumference (WC), WHpR (waist-to-hip ratio), WHtR (waist-to-height ratio), systolic and diastolic blood pressure (SBP, DBP) values were determined by standard protocol. Fasting glucose and lipid profile were assayed for, and MS was defined by the harmonized criteria. The predictive ability of NC to identify people with obesity and MS was determined with receiver operating characteristic (ROC) curves.
RESULTS: In both men and women, NC had positive correlation (P<.001) with age, weight, BMI, WC, WHpR, WHtR, SBP and DBP. In men and women, the AUC of NC for all the anthropometric indices were significant (P<.0001). In men, the NC cut-off was 37cm for WHpR, 37.5cm for both BMI and WHtR, 38.3cm for WC, and 40.0cm for MS. In women, the NC cut-off for all the anthropometric indices (except WHpR) and MS was 33cm. In men, NC was as good as other obesity indices in predicting MS (P>.05 for differences in the AUC), but was inferior to BMI, WC and WHtR in women.
CONCLUSIONS: NC correlates with indices of adiposity and can serve as an alternate index for obesity and MS detection in Nigerians.
METHODS: The current study was based on data analysis of 557 staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria, who took part in a cross-sectional health screening (August-December 2018). Body mass index (BMI), waist circumference (WC), WHpR (waist-to-hip ratio), WHtR (waist-to-height ratio), systolic and diastolic blood pressure (SBP, DBP) values were determined by standard protocol. Fasting glucose and lipid profile were assayed for, and MS was defined by the harmonized criteria. The predictive ability of NC to identify people with obesity and MS was determined with receiver operating characteristic (ROC) curves.
RESULTS: In both men and women, NC had positive correlation (P<.001) with age, weight, BMI, WC, WHpR, WHtR, SBP and DBP. In men and women, the AUC of NC for all the anthropometric indices were significant (P<.0001). In men, the NC cut-off was 37cm for WHpR, 37.5cm for both BMI and WHtR, 38.3cm for WC, and 40.0cm for MS. In women, the NC cut-off for all the anthropometric indices (except WHpR) and MS was 33cm. In men, NC was as good as other obesity indices in predicting MS (P>.05 for differences in the AUC), but was inferior to BMI, WC and WHtR in women.
CONCLUSIONS: NC correlates with indices of adiposity and can serve as an alternate index for obesity and MS detection in Nigerians.