Obesity is a CVD risk factor that can be modulated for massive reduction in morbi-mortality. Traditional indices measuring it have been inconsistent and the most commonly used; BMI has proved inappropriate for Africans, not attending specifically to body fat and its distribution. With the consensus that intra-abdominal fat is the most critical for cardio-metabolic diseases, various attempts were made to measure it for risk estimation. These however require costly equipments not easily amenable for population studies. The abdominometer conceptualized by BNO has shown promise in isolated cases. This pilot study was undertaken in this restricted population to compare its utility with existing anthropometric measures of cardiovascular disease.
KeywordsObesityAbdominometerAnthropometryAfrica
Mechnaick, J.I., Garber, A.J., Handelsman, Y. and Gawey, W.T. (2012) American Association of Clinical Endocrinologists Position Statement on Obesity and Obesity Medicine. Endocrine Practice, 18, 642-648. http://dx.doi.org/10.4158/EP12160.PS
Wimalawansa, S.J. (2013) Thermogenesis-Based Interventions for Obesity and Type 2 Diabetes Mellitus. Expert Review of Endocrinology & Metabolism, 8, 275-280. http://dx.doi.org/10.1586/eem.13.13
Ogden, C.L., Carole, M.D., Kit, B.K. and Flegal, K.M. (2012) Prevalence of Obesity in the United States 2009-2010. NCHS Data Brief, 82, 1-8.
Ekezie, J., Anyanwu, E.G., Danborno, B. and Ugochukwu, A. (2011) Impact of Urbanization on Obesity, Anthropometric Profile and Blood Pressure in the Igbos of Nigeria. North American Journal of Medicine & Science, 3, 242-246. http://dx.doi.org/10.4297/najms.2011.3242
Karatsoreos, I.N. (2014) The Relationship between Circadian Disruption and the Development of Metabolic Syndrome and Type 2 Diabetes. ChronoPhysiology and Therapy, 4, 137-145. http://dx.doi.org/10.2147/CPT.S44799
Murphy, G.A.V., Asiki, G., Nsubuga, R.N., Young, E.H., Seeley, J., Sandhu, M.S. and Kamali, A. (2014) The Use of Anthropometric Measures for Cardiometabolic Risk Identification in a Rural African Population. Diabetes Care, 37, e64-e65. http://dx.doi.org/10.2147/CPT.S44799
Ashwell, M. (2011) Shape. The Waist-To-Height Ratio Is a Good Sample Screening Tool for Cardiometabolic Risk. Nutrition Today, 46, 85-89. http://dx.doi.org/10.1097/NT.0b013e3182118779
Gomez-Ambrosi, J., Silva, C., Galofre, J.C., Escalada, J., Santos, S., Millan, D., Vila, N., Ibanez, P., Gil, M.J., Valenti, V., Rotellar, F., Ramirez, B., Salvador, J. and Fruhbeck, G. (2012) Body Mass Index Classification Misses Subjects with Increased Cardiometabolic Risk Factors Related to Elevated Adiposity. International Journal of Obesity, 36, 286-294. http://dx.doi.org/10.1038/ijo.2011.100
Dudeja, V., Misra, A., Pandey, R.M., Devina, G., Kumar, G. and Vikram, N.K. (2001) BMI Does Not Accurately Predict Overweight in Asian Indians in Northern India. British Journal of Nutrition, 86, 105-112. http://dx.doi.org/10.1079/BJN2001382
Wimalawansa, S.J. (2013) Visceral Adiposity and Cardiometabolic Risk: Epidemic of Abdominal Obesity in North America. Research and Reports in Endocrine Disorders, 3, 1-14. http://dx.doi.org/10.2147/rred.s32041
Okeahialam, B.N., Ebirim, C.I. and Onwubere, B.J.C. (2012) Comparative Assessment of Percentage Body Fat versus Body Mass Index as Anthropometric Measures of Blood Pressure. Circulation, 125, e877-e878.
Iribarren, C., Darbinian, J.A., Lo, J.C., Fireman, B.H. and Go, A.S. (2006) Value of the Sagittal Abdominal Diameter in Coronary Heart Disease Risk Assessment: Cohort Study in a Large, Multi-Ethnic Population. American Journal of Epidemiology, 164, 1150-1159. http://dx.doi.org/10.1093/aje/kwj341
deSouza, N.C. and de Oliveira, E.P. (2013) Sagittal Abdominal Diameter Shows Better Correlation with Cardiovascular Risk Factors than Waist Circumference and BMI. Journal of Diabetes and Metabolic Disorders, 12, 41. http://dx.doi.org/10.1186/2251-6581-12-41
Pimentel, G.D., Portero-McLellan, K.C., Maesta, N., Corrente, J.E. and Burini, R.C. (2010) Accuracy of Sagittal Abdominal Diameter as a Predictor of Abdominal Fat among Brazilian Adults: A Comparison with Waist Circumference. Nutrition Hospitalaria, 25, 656-661.
Whaley-Connell, A. and Sowers, J.R. (2011) Indices of Obesity and Cardiometabolic Risk. Hypertension, 58, 991-993. http://dx.doi.org/10.1161/HYPERTENSIONAHA.111.180406
Sampaio, L.R., Simoes, E.J., Assis, A.M. and Ramos, L.R. (2007) Validity and Reliability of Sagittal Abdominal Diameter as a Predictor of Visceral Abdominal Fat. Arquivos Brasileiros de Endocrinologia & Metabologia, 51, 980-986. http://dx.doi.org/10.1590/S0004-27302007000600013
Gupta, A.K., Johnson, W.D., Johannsen, J.D. and Ravussin, E. (2013) Cardiovascular Risk Escalation with Caloric Excess: A Prospective Demonstration of the Mechanics in Healthy Adults. Cardiovascular Diabetology, 12, 23. www.medscape.com http://dx.doi.org/10.1186/1475-2840-12-23
Silva-Hamu, T.C.D., Formiga, C.K.M.R., Gervasio, F.M., Ribeiro, D.M., Christofoletti, G. and Barros, J.F. (2013) The Impact of Obesity in the Kinetic Parameters of Gait in Young Women. International Journal of General Medicine, 6, 507-513. http://dx.doi.org/10.2147/IJGM.S44768
Shields, M., Tremblay, M.S., Gorber, S.C. and Janssen, I. (2012) Abdominal Obesity and Cardiovascular Disease Risk Factors within Body Mass Index Categories. Statistics Canada Catalogue No. 82-003-XPE. Health Reports, 23, 1-9.
Czernichow, S., Kengne, A.P., Stamatakis, E., Hamer, M. and Batty, G.D. (2011) Body Mass Index, Waist Circumference and Waist-Hip Ratio: Which Is the Better Discriminator of Cardiovascular Disease Mortality Risk? Evidence from an Individual Participant Meta-Analysis of 82,864 Participants from Nine Cohort Studies. Obesity Reviews, 12, 680-687. http://dx.doi.org/10.1111/j.1467-789x.2011.00879.x
Mendis, S. and Mohan, V. (2008) Non-Laboratory-Based Prediction of Cardiovascular Risk. Lancet, 371, 878-879. http://dx.doi.org/10.1016/S0140-6736(08)60392-X
Motala, A.A., Esterhuizen, T., Pirie, F.J. and Omar, M.A. (2011) The Prevalence of Metabolic Syndrome and Determination of the Optimal Waist Circumference Cutoff Points in a Rural South African Community. Diabetes Care, 34, 1032-1037. http://dx.doi.org/10.2337/dc10-1921
Gustat, J., Elkasabany, A., Srinivasan, S. and Berenson, G.S. (2000) Relation of Abdominal Height to Cardiovascular Risk Factors in Young Adults. The Bogalusa Heart Study. American Journal of Epidemiology, 151, 885-891. http://dx.doi.org/10.1093/oxfordjournals.aje.a010292
Boggia, J., Thijs, L., Li, Y., Hansen, T.W., Kikuya, M., Bjorklund-Bodegard, K., et al., on Behalf of the International Database on Ambulatory Blood Pressure in Relation to Cardiovascular Outcomes (IDACO) Investigators (2013) Risk Stratification by 24-Hour Ambulatory Blood Pressure and Estimated Glomerular Filtration Rate in 5322 Subjects from 11 Populations. Hypertension, 61, 18-26. http://dx.doi.org/10.1161/HYPERTENSIONAHA.112.197376