Anthropometric indices

How they compare in screening of cardio- metabolic risks in a Nigerian sub-population

V. M. Oguoma, Ezekiel Uba Nwose, Timothy Skinner, Ross Stewart Richards, Kester Awharentomah Digban, Innocent Chukwu Onyia, Anayochukwu Edward Anyasodor

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 cut-offs 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<0.000l). 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.

Original languageEnglish
Pages (from-to)91-98
Number of pages8
JournalAfrican Journal of Medicine and Medical Sciences
Volume45
Issue number1
Publication statusPublished - 1 May 2016
Externally publishedYes

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Waist Circumference
Population
Sensitivity and Specificity
Body Mass Index
Africa South of the Sahara
Western World
ROC Curve
Waist-Height Ratio
Health
Therapeutics

Cite this

Oguoma, V. M., Nwose, E. U., Skinner, T., Richards, R. S., Digban, K. A., Onyia, I. C., & Anyasodor, A. E. (2016). Anthropometric indices: How they compare in screening of cardio- metabolic risks in a Nigerian sub-population. African Journal of Medicine and Medical Sciences, 45(1), 91-98.
Oguoma, V. M. ; Nwose, Ezekiel Uba ; Skinner, Timothy ; Richards, Ross Stewart ; Digban, Kester Awharentomah ; Onyia, Innocent Chukwu ; Anyasodor, Anayochukwu Edward. / Anthropometric indices : How they compare in screening of cardio- metabolic risks in a Nigerian sub-population. In: African Journal of Medicine and Medical Sciences. 2016 ; Vol. 45, No. 1. pp. 91-98.
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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 cut-offs 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<0.000l). 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.",
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Oguoma, VM, Nwose, EU, Skinner, T, Richards, RS, Digban, KA, Onyia, IC & Anyasodor, AE 2016, 'Anthropometric indices: How they compare in screening of cardio- metabolic risks in a Nigerian sub-population', African Journal of Medicine and Medical Sciences, vol. 45, no. 1, pp. 91-98.

Anthropometric indices : How they compare in screening of cardio- metabolic risks in a Nigerian sub-population. / Oguoma, V. M.; Nwose, Ezekiel Uba; Skinner, Timothy ; Richards, Ross Stewart; Digban, Kester Awharentomah; Onyia, Innocent Chukwu; Anyasodor, Anayochukwu Edward.

In: African Journal of Medicine and Medical Sciences, Vol. 45, No. 1, 01.05.2016, p. 91-98.

Research output: Contribution to journalArticle

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T1 - Anthropometric indices

T2 - How they compare in screening of cardio- metabolic risks in a Nigerian sub-population

AU - Oguoma, V. M.

AU - Nwose, Ezekiel Uba

AU - Skinner, Timothy

AU - Richards, Ross Stewart

AU - Digban, Kester Awharentomah

AU - Onyia, Innocent Chukwu

AU - Anyasodor, Anayochukwu Edward

PY - 2016/5/1

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N2 - 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 cut-offs 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<0.000l). 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.

AB - 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 cut-offs 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<0.000l). 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.

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KW - Male

KW - Metabolic Syndrome/diagnosis

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