This study assessed the effect of Haemoglobin SS (Hb SS) on cormic index and some other body anthropometric indices among students of Obafemi Awolowo University, Ile-Ife, Nigeria. A total of 100 young adults (18 – 40 years) participated in the study. They were classified into two groups; 50 cases (participants with Hb SS) and 50 control (participants with Hb AA) which were purposively selected after haemglobin typing using electrophoresis method. The cases and controls were age-and sex-matched. The weight, sitting and standing height were measured by using Seca stadiometer-model 216 following standard protocol. Cormic index (CI%) was calculated using sitting height x 100/ standing height while the body mass index (BMI) and body surface area were calculated using Keys and Monsteller formulae respectively. The data were analyzed using descriptive and inferential statistics and alpha value was set at p < 0.05. The mean values of weight in kg [54.39 ± 5.54 vs 60.48 ± 8.65 (t= -4.195, p < 0.001], body mass index in kg/m2 [19.58 ± 2.08 vs 21.48 ± 2.91 (t = 6.068; p < 0.001)], cormic index in % [44.71 ± 6.05 vs 50.03 ± 1.33 (t = -3.760; p < 0.001)], subischial leg length in cm [92.22 ± 10.76 vs 83.84 ± 4.41 (p < 0.001; t = 5.092)] and body surface area in m2 [1.59 ± 0.09 vs 1.68 ± 0.14 (p < 0.001, t = -3.798)] of cases were significantly different from those of controls respectively. In conclusion, this study showed that Hb SS is associated with lower weight, sitting height, body mass index, body surface area and cormic index but higher subischial leg length when compared with Hb AA.
Published in | American Journal of Internal Medicine (Volume 10, Issue 5) |
DOI | 10.11648/j.ajim.20221005.14 |
Page(s) | 108-113 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Cormic Index, Subischial Leg Length, Body Mass Index, Sickle Cell Anaemia, Young Adults
[1] | Ware, R. E., de Montalembert, M., Tshilolo, L., Abboud, M. R. (2017) Sickle cell disease. Lancet; 390 (10091): 311-323. |
[2] | Mengnjo, M. K., Kamtchum-Tatuene, J., Nicastro, N., Noubiap, J. J. N. (2016) Neurological complications of sickle cell disease in Africa: protocol for a systematic review. BMJ Open; 6: e012981. |
[3] | Musa, H. H., El-Sharief, M., Musa, I. H., Musaa, T. H., Akintunde, T. Y. (2021) Global scientific research output on sickle cell disease: A comprehensive bibliometric analysis of web of science publication. Scientific African; 12: e00774. |
[4] | Konotey-Ahulu F. I. D. (1992) The sickle cell disease patient. Macmillan, Hong Kong. 1992; 341-348. |
[5] | Altemus, L. A., Epps, C. W. (1974) Cephalofacial characteristics of North American individuals with sickle cell disease. Quarterly of the National Dental Association; 32: 80–88. |
[6] | Shnorhokian, H. I., Chapman, D. C., Nazif, M. M., Zullo, T. G. (1984) Cephalometric study of American black children with sickle-cell disease. ASDC Journal of Dentistry for Children; 51 (6): 431-433. |
[7] | Oredugba F. A., Savage, K. O. (2002) Anthropometric finding in Nigerian children with sickle cell disease. Pediatric Dentistry; (24) 4: 321–325. |
[8] | Akodu, S. O., Njokanma, O. F., Kehinde, O. A. (2014). Cormic Index Profile of Children with sickle cell Anaemia in Lagos Nigeria. Anaemia; 2014: 1-6. |
[9] | Gerver, W. J., De Bruin R. 1995 Relationship between height, sitting height and subischial leg length in Dutch children: presentation of normal values Acta Paediatr. 84: 532–535. |
[10] | Fung, E. B., Malinauskas, B. M., Kawchak, D. A., Koh, B. Y., Zemel, B. S., Gropper, S. S., Ohenefrempong, K., Stallings, V. A. (2001) Energy expenditure and intake in children with sickle cell disease during acute illness. Clinical Nutrition; 20: 131–138. |
[11] | Malinauskas, B. M., Gropper, S. S., Kawchak, D. A., Zemel, B. S., Ohene-Frempong, K., Stallings, V. A. et al., (2000). Impact of acute illness on nutritional status of infants and young children with sickle cell disease. Journal of American Diet of Association; 100: 330– 334. |
[12] | Akohoue, S. A., Shankar, S., Milne, G. L., Morrow, J., Chen, K. Y., Ajayi, W. U., Buchowski, M. S. (2007) Energy expenditure, inflammation, and oxidative stress in steadystate adolescents with sickle cell anaemia. Paediatric Research: 61: 233–238. |
[13] | Barden, E. M., Zemel, B. S., Kawchak, D. A., Goran, M. I., Ohene-Frempong, K., Stallings, V. A. (2000) Total and resting energy expenditure in children with sickle cell disease. Journal of Paediatrics: 136 (1); 73–79. |
[14] | Singhal A, Davies P, Sahota A, Thomas P, Serjeant G. (1993) Resting metabolic rate in homozygous sickle cell disease. American Journal of Clinical Nutrition; 57 (1): 32–34. |
[15] | Al-Saqladi, A. W., Cipolotti, R., Fijnvandraat, K., Brabin, B. J. (2008) Growth and nutritional status of children with homozygous sickle cell disease. Annals of Tropical Paediatrics: 28; 165–89. |
[16] | Gokhale, R., Kirschner, B. S. (2003) Transition of care between paediatric and adult gastroenterology. Assessment of growth and nutrition. Best Pract Research and Clinical Gastroenterology; 17: 153–162. |
[17] | Adewoyin, A. S. (2014). Management of Sickle Cell Disease: A Review for Physician Education in Nigeria (Sub-Saharan Africa). Anaemia; 2015. |
[18] | Ballas, S. K, Lieff, S., Benjamin, L. J., Dampier, C. D, Heeney, M. M, Hoppe, C., et al., (2010). Definitions of the phenotypic manifestations of sickle cell disease. America Journal Hematology 2010; 85: 6–13. doi: 10.1002/ajh.21550. |
[19] | Adegoke, S. A., Okeniyi, J. A. O., Akintunde, A. A. (2016) Electrocardiographic abnormalities and dyslipidaemic syndrome in children with sickle cell anaemia. Cardiovascular Journal of Africa; 27: 16–20. |
[20] | Keys, A., Fidanza, F., Karvonen, M. J., Kimura, N. Taylor, H. L. (1972) Indices of relative weight and obesity. Journal of Chronic Diseases; 25 (6-7): 329-349. |
[21] | Mosteller, R. D. (1987). Simplified calculation of body surface area. New England Journal of Medicine; 317 (17): 1098. |
[22] | Akinbami, A., Dosumu, A, Adediran, A., Oshinaike, O., Phillip, A., Vincent, O., et al., (2012) Steady state haemoglobin concentration and packed cell volume in homozygous sickle cell disease patients in Lagos, Nigeria. Caspian Journal of Internal Medicine; 3 (2): 405 – 409. |
[23] | Sherwood, J. B., Goldwesser, E., Chilcoat, R., Carmichael, L. D., Nagel, R. L. (1987) Sickle cell anaemia patients have low erythropoietin levels for their degree of anaemia. Blood, 67; 46 – 49. |
[24] | Dosunmu, A., Akinbami, A., Uche, E., Adewumi Adediran, A., John-Olabode S. (2016) Electrocardiographic Study in Adult Homozygous Sickle Cell Disease Patients in Lagos, Nigeria. Journal of Tropical Medicine. 2016; 1-5. |
[25] | Oguanobi, N. I., Onwubere, B. J. C., Ejim, E. C., Anisiuba, B. C., Ibegbulam, O. G., Ukekwe, F. I. (2016). Cardiovascular System Abnormalities in Sickle Cell Anaemia: Clinical Findings in Steady State Adult Nigerian Patients. Journal of Clinical & Experimental Cardiology; 7 (3); 423. |
[26] | Nartey, E. B., Spector, J., Adu-Afarwuah, S., Jones, C. L., Jackson, A., Ohemeng, A. (2021) Nutritional perspectives on sickle cell disease in Africa: a systemic review. BMC Nutrition; 7: 9. |
APA Style
Muritala Abiola Asafa, Rahaman Ayodele Bolarinwa, Samson Adeoye Oyewade, Oluwadare Ogunlade. (2022). Assessment of Cormic Index and Other Anthropometric Parameters of Young Adults with Sickle Cell Anaemia in Ile-Ife, Nigeria. American Journal of Internal Medicine, 10(5), 108-113. https://doi.org/10.11648/j.ajim.20221005.14
ACS Style
Muritala Abiola Asafa; Rahaman Ayodele Bolarinwa; Samson Adeoye Oyewade; Oluwadare Ogunlade. Assessment of Cormic Index and Other Anthropometric Parameters of Young Adults with Sickle Cell Anaemia in Ile-Ife, Nigeria. Am. J. Intern. Med. 2022, 10(5), 108-113. doi: 10.11648/j.ajim.20221005.14
AMA Style
Muritala Abiola Asafa, Rahaman Ayodele Bolarinwa, Samson Adeoye Oyewade, Oluwadare Ogunlade. Assessment of Cormic Index and Other Anthropometric Parameters of Young Adults with Sickle Cell Anaemia in Ile-Ife, Nigeria. Am J Intern Med. 2022;10(5):108-113. doi: 10.11648/j.ajim.20221005.14
@article{10.11648/j.ajim.20221005.14, author = {Muritala Abiola Asafa and Rahaman Ayodele Bolarinwa and Samson Adeoye Oyewade and Oluwadare Ogunlade}, title = {Assessment of Cormic Index and Other Anthropometric Parameters of Young Adults with Sickle Cell Anaemia in Ile-Ife, Nigeria}, journal = {American Journal of Internal Medicine}, volume = {10}, number = {5}, pages = {108-113}, doi = {10.11648/j.ajim.20221005.14}, url = {https://doi.org/10.11648/j.ajim.20221005.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajim.20221005.14}, abstract = {This study assessed the effect of Haemoglobin SS (Hb SS) on cormic index and some other body anthropometric indices among students of Obafemi Awolowo University, Ile-Ife, Nigeria. A total of 100 young adults (18 – 40 years) participated in the study. They were classified into two groups; 50 cases (participants with Hb SS) and 50 control (participants with Hb AA) which were purposively selected after haemglobin typing using electrophoresis method. The cases and controls were age-and sex-matched. The weight, sitting and standing height were measured by using Seca stadiometer-model 216 following standard protocol. Cormic index (CI%) was calculated using sitting height x 100/ standing height while the body mass index (BMI) and body surface area were calculated using Keys and Monsteller formulae respectively. The data were analyzed using descriptive and inferential statistics and alpha value was set at p < 0.05. The mean values of weight in kg [54.39 ± 5.54 vs 60.48 ± 8.65 (t= -4.195, p < 0.001], body mass index in kg/m2 [19.58 ± 2.08 vs 21.48 ± 2.91 (t = 6.068; p < 0.001)], cormic index in % [44.71 ± 6.05 vs 50.03 ± 1.33 (t = -3.760; p < 0.001)], subischial leg length in cm [92.22 ± 10.76 vs 83.84 ± 4.41 (p < 0.001; t = 5.092)] and body surface area in m2 [1.59 ± 0.09 vs 1.68 ± 0.14 (p < 0.001, t = -3.798)] of cases were significantly different from those of controls respectively. In conclusion, this study showed that Hb SS is associated with lower weight, sitting height, body mass index, body surface area and cormic index but higher subischial leg length when compared with Hb AA.}, year = {2022} }
TY - JOUR T1 - Assessment of Cormic Index and Other Anthropometric Parameters of Young Adults with Sickle Cell Anaemia in Ile-Ife, Nigeria AU - Muritala Abiola Asafa AU - Rahaman Ayodele Bolarinwa AU - Samson Adeoye Oyewade AU - Oluwadare Ogunlade Y1 - 2022/10/28 PY - 2022 N1 - https://doi.org/10.11648/j.ajim.20221005.14 DO - 10.11648/j.ajim.20221005.14 T2 - American Journal of Internal Medicine JF - American Journal of Internal Medicine JO - American Journal of Internal Medicine SP - 108 EP - 113 PB - Science Publishing Group SN - 2330-4324 UR - https://doi.org/10.11648/j.ajim.20221005.14 AB - This study assessed the effect of Haemoglobin SS (Hb SS) on cormic index and some other body anthropometric indices among students of Obafemi Awolowo University, Ile-Ife, Nigeria. A total of 100 young adults (18 – 40 years) participated in the study. They were classified into two groups; 50 cases (participants with Hb SS) and 50 control (participants with Hb AA) which were purposively selected after haemglobin typing using electrophoresis method. The cases and controls were age-and sex-matched. The weight, sitting and standing height were measured by using Seca stadiometer-model 216 following standard protocol. Cormic index (CI%) was calculated using sitting height x 100/ standing height while the body mass index (BMI) and body surface area were calculated using Keys and Monsteller formulae respectively. The data were analyzed using descriptive and inferential statistics and alpha value was set at p < 0.05. The mean values of weight in kg [54.39 ± 5.54 vs 60.48 ± 8.65 (t= -4.195, p < 0.001], body mass index in kg/m2 [19.58 ± 2.08 vs 21.48 ± 2.91 (t = 6.068; p < 0.001)], cormic index in % [44.71 ± 6.05 vs 50.03 ± 1.33 (t = -3.760; p < 0.001)], subischial leg length in cm [92.22 ± 10.76 vs 83.84 ± 4.41 (p < 0.001; t = 5.092)] and body surface area in m2 [1.59 ± 0.09 vs 1.68 ± 0.14 (p < 0.001, t = -3.798)] of cases were significantly different from those of controls respectively. In conclusion, this study showed that Hb SS is associated with lower weight, sitting height, body mass index, body surface area and cormic index but higher subischial leg length when compared with Hb AA. VL - 10 IS - 5 ER -