| ORIGINAL ARTICLE |
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| Year : 2018 | Volume
: 15
| Issue : 1 | Page : 41-44 |
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Abdominometer: A novel instrument to determine the level of risk for cardiometabolic diseases
Anil I Sirisena1, Basil N Okeahialam2, E Emeka Ike3, D Stephen Pam1, J Linus Barki4
1 Department of Radiology, Jos University Teaching Hospital, Jos, Plateau State, Nigeria
2 Department of Medicine, Jos University Teaching Hospital, Jos, Plateau State, Nigeria
3 Department of Physics, University of Jos, Jos, Plateau State, Nigeria
4 University Health Centre, University of Jos, Jos, Plateau State, Nigeria
Correspondence Address:
Prof. Basil N Okeahialam
Department of Medicine, Jos University Teaching Hospital, Jos, Plateau State
Nigeria
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/njc.njc_20_17
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Background: The standard measure for classifying obesity, the body mass index (BMI) has been found to be deficient in some populations, Sub-Saharan Africans inclusive. Until recently, waist-to-height ratio (WHtR) was considered an improvement in this regard. Abdominal height (AH) measured with a novel appliance was recently found to be a superior cardiac anthropometric measure in our population; hence, there is a need to correlate it mathematically with the older indices.
Objective: To determine a mathematical formula that permits computation of AH from BMI and WHtR.
Methodology: A total of 200 randomly selected consenting young adult Nigerians (100 males and 100 females) between the ages 16 and 44 years who were undergoing preadmission medical examinations in a higher educational institution participated in this study. Height and weight were measured to determine BMI; waist and hip circumferences were measured and waist-to-hip ratio and WHtR computed.
Results: Correlations between two anthropometric indices, BMI, and WHtR with AH were determined, and linear relationships were established using regression analysis to compute the AH using BMI and WHtR (P < 0.01). Reference levels of AH for low risk, increased risk, substantially increased risk, and severe risk were established. From this study, AH for severe risk level was found to be >32 cm and 30 cm by BMI and WHtR classifications, respectively.
Conclusion: Where there is no abdominometer to measure AH, it is possible from BMI and WHtR to determine AH; which has been shown to predict cardiometabolic diseases better in our population.
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