Anthropometric indices: How they compare in screening of cardio- metabolic risks in a Nigerian sub-population
Article
Article Title | Anthropometric indices: How they compare in screening of cardio- metabolic risks in a Nigerian sub-population |
---|---|
ERA Journal ID | 15343 |
Article Category | Article |
Authors | Oguoma, VM, Nwose, EU, Skinner, TC, Richards, RS, Digban, KA, Onyia, IC and Anyasodor, AE |
Journal Title | African Journal of Medicine and Medical Sciences |
Journal Citation | 45 (1), pp. 91-98 |
Number of Pages | 8 |
Year | 2016 |
Publisher | University of Ibadan |
Place of Publication | Nigeria |
ISSN | 1116-4077 |
Web Address (URL) | https://ojshostng.com/index.php/ajmms/article/view/720 |
Abstract | Background: The current anthropometric indices used for diagnosis of cardio-metabolic syndrome (CMS) in sub-Saharan Africa are those widely validated in the western world. We hereby aim to compare the sensitivity and specificity of these tools in identifying risk factors for CMS. Method: The study assessed body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). Statistical analyses were performed to determine the sensitivity and specificity of WHtR in comparison with WC cut-off points recommended by the International Diabetes Federation (IDF) and the Third Adult Treatment Panel (ATPIII) as well as BMI cutoffs prescribed by the World Health Organisation (WHO). Result: WHtR had the highest area under the receiver operating characteristic (ROC) curve in screening CMS. WHtR >0.5 also showed highest sensitivity in both genders in identifying CMS and clusters of >2 CMS risk factors, but with lowest specificity and positive likelihood ratio (LR+). ATPIII WC cut-off revealed lowest sensitivity and highest specificity in screening CMS and >2 CMS risk factors in males (p<0.0001). IDF WC threshold had the more stable sensitivity and specificity in males (p<0.0001) but not in females. Conclusion: WHtR>0.5 is more sensitive than WC and BMI recommended values in screening for CMS, but with the least positive likelihood ratio. However, more studies in other nations of sub-Saharan Africa are needed to assure evaluation of different cut points that will yield optimal specificity and sensitivity. This will help curb the problem of over-diagnosis of CMS risk factors and increase better health outcome of the population. |
Keywords | Anthropometric indices; cardio-metabolic syndrome; Nigeria |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 420605. Preventative health care |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Charles Darwin University |
Charles Sturt University | |
Novena University, Nigeria | |
Onyx Hospital and Maternity, Nigeria |
https://research.usq.edu.au/item/z1y53/anthropometric-indices-how-they-compare-in-screening-of-cardio-metabolic-risks-in-a-nigerian-sub-population
23
total views1
total downloads10
views this month0
downloads this month