Utility of the abdominometer, a novel contribution to cardiovascular anthropometry

Okeahialam, Basil N; Diala, Udochukwu M.; Uwakwe, J.N.; Ejeh, I.; Ozoilo, U.

doi:10.1016/j.atherosclerosis.2015.04.1024

Cited by 2 publications

(6 citation statements)

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“…AH in this study of a large population of free living adults in North Central Nigeria proved to be the best cardiovascular anthropometric index to predict CVD in our environment. This supports the findings in the earlier pilot studies suggesting that it outperformed the other common cardiovascular anthropometric indices ( 17 , 19 ) and aligns with studies from other climes ( 25 ). This should not come as a surprise.…”

Section: Discussionsupporting

confidence: 91%

“…The AH was measured with the abdominometer, a light wooden apparatus conceptualized by Okeahialam (see Figure 1 ) and used in earlier pilot studies ( 17 , 19 ). It is applied with the subject standing erect with the short arm of the “L” -shaped apparatus sitting in the small of the back at the level of the posterior iliac crest, at lumbar 4/5 intervertebral space.…”

Section: Methodsmentioning

confidence: 99%

“…Writing on the subject, Lin et al ( 16 ) posited that anthropometric measures in different ethnic groups have different predictive powers in cardiometabolic diseases, hence, the need to establish for each index appropriate cutoff points. This gave rise to the abdominometer concept with the abdominal height (AH) being the anthropometric measure considered appropriate for SSA ( 17 ). This differs from the South American version, which measures sagittal abdominal diameter ( 18 ).…”

Section: Introductionmentioning

confidence: 99%

“…This is therefore an attempt to use the abdominometer as conceptualized by Okeahialam ( 17 ) to study a large population of free living adults in North-Central Nigeria and compare the suitability of AH for large epidemiological studies as opposed to BMI (the WHO standard) and WHR, which measures central adiposity. If found appropriate, given the ease of use, it could become a tool to screen populations for CVD especially in SSA; since the WHO standard, the BMI has failed in many instances to attribute CVD risk to individuals.…”

Section: Introductionmentioning

confidence: 99%

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Cardiovascular Anthropometry: What Is Best Suited for Large-Scale Population Screening in Sub-Saharan Africa?

Agbo

Zoakah

Isichei

et al. 2020

Front. Cardiovasc. Med.

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Background : Body mass index (BMI) measures overweight/obesity. It, however, especially in sub-Saharan Africa (SSA), misclassifies cardiometabolic risk. Central obesity measures are superior. We therefore sought to compare BMI, waist-to-hip ratio (WHR) and abdominal height (AH) in predicting cardiovascular disease risk in sub-Saharan Africa.Methods : Subjects had blood pressures, BMI, and WHR determined. Blood pressure was taken, weight and height measured to generate BMI, and AH measured with a new locally fabricated abdominometer. The ability of the anthropometric indices in identifying abnormal individuals needing intervention was assessed with sensitivity, specificity, and area under the receiver operator characteristic curve.Results : Adults totaling 1,508 (728 M/780 F) adults were studied. For BMI, 985 (65.3%) were normal, while 375 (24.9%), consisting of 233 males and 142 females, had normal WHR. Blood pressure was normal in 525 (34.8%) and 317 (21.0%) for systolic and diastolic blood pressures, respectively. Using BMI as gold standard, sensitivity, specificity, positive, and negative predictive values for WHR in males were 80.7, 37.5, 62.5, and 19.3%, respectively. For females and in the same order, they were 62.0, 34.3, 65.7, and 38.0%. For AH, it was equal in both genders at 82.6, 39.2, 60.8, and 17.4%. By receiver operating curves comparing AH, WHR, and BMI against blood pressure detection, the area under the curve was 0.745, 0.604, and 0.554 for AH, BMI, and WHR, respectively.Conclusion : Abdominometer-derived AH has a better sensitivity and greater area under the receiver operator curve compared with BMI and WHR in this sub-Sahara African population; implying superiority as a cardiovascular anthropometric index.

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Section: Discussionsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cardiovascular Anthropometry: What Is Best Suited for Large-Scale Population Screening in Sub-Saharan Africa?

Agbo

Zoakah

Isichei

et al. 2020

Front. Cardiovasc. Med.

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“…Moreover, the predictive power of different anthropometric indices also depends on the ethnic origin of the studied population[ 18 ] and this suggests the need for regional studies to be carried out in order to determine the best adiposity discriminators unique to each of these population groups for more accurate community risk evaluations of cardiometabolic diseases. In this study, two other adiposity indices abdominal height (AH)[ 19 ] and body surface index (BSI)[ 20 ] were included along with BMI, WC, WHtR and WHR. The purpose of this study is to identify the best anthropometric index for each of the disease conditions; hypertension, diabetes mellitus (DM) and hypertriglyceridemia for our chosen cross-sectional population study group and to determine their respective cut-off values.…”

Section: Introductionmentioning

confidence: 99%

Association of obesity anthropometric indices with hypertension, diabetes mellitus and hypertriglyceridemia in apparently healthy adult Nigerian population

Sirisena¹,

Okeahialam²

2022

WJC

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BACKGROUND Hypertension, hyperglycemia and hypertriglyceridemia are chronic conditions associated with cardiometabolic diseases. Certain anthropometric indices are known to predict them. AIM To investigate the association of anthropometric indices with these chronic diseases and which anthropometric index predicts them best. METHODS In this study, 221 apparently healthy individuals who never received treatments for cardiovascular disease (CVD), diabetes or other chronic diseases participated. The age of the participants ranged from 20-75 years with mean age of 36.9 ± 11.4 years. The risk factors of these diseases namely systolic blood pressures (SBP) and diastolic blood pressures (DBP), fasting blood glucose (FBG) and triglycerides (TG) were determined for all the participants using standard clinical procedures. The obesity anthropometric indices, waist circumference, waist-to-height ratio, waist-to-hip ratio and body mass index as well as abdominal height (AH) and body surface index were determined. The association between each of them with the risk factors were determined by the Pearson correlation method. RESULTS From the results, it was found that AH showed superiority over the rest for SBP ( r = 0.301, P < 0.01), DBP ( r = 0.370, P < 0.01), FBG ( r = 0.297, P < 0.01) and TG ( r = 0.380, P < 0.01). Using the receiver operating characteristic curves, cut-off values of AH for SBP, DBP, FBG and TG were determined to be 24.75 cm, 24.75 cm, 25.25 cm and 24.75 cm respectively. CONCLUSION The indices of anthropometry used in this study correlated significantly with the studied CVD risk factors, with AH emerging as the most predictive.

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Utility of the abdominometer, a novel contribution to cardiovascular anthropometry

Cited by 2 publications

References 0 publications

Cardiovascular Anthropometry: What Is Best Suited for Large-Scale Population Screening in Sub-Saharan Africa?

Cardiovascular Anthropometry: What Is Best Suited for Large-Scale Population Screening in Sub-Saharan Africa?

Association of obesity anthropometric indices with hypertension, diabetes mellitus and hypertriglyceridemia in apparently healthy adult Nigerian population

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