THE IMPORTANCE OF SOME NEW CLINICAL INDICES IN THE EVALUATION OF CHILDHOOD OBESITY
DOI:
https://doi.org/10.20319/lijhls.2017.33.1628Keywords:
Obesity, Childhood, Index, GenderAbstract
Childhood obesity is a multisystem disease and associated with severe complications. Accurate evaluation requires difficult and detailed investigation. Therefore, assessment of anthropometric measurements and formulas as well as some ratios, is important. The aim of the study is to introduce an obesity index, which is capable of discriminating the children in different obesity grades. A total of two hundred and fifty children were included into the scope of the study. Anthropometric measurements and obesity classification were performed. Waist-to-height, head-to-neck ratios, body mass index (BMI), recently developed indices; “Diagnostic Obesity Notation Model Assessment” (DONMA) Index-I derived from weight and DONMA Index-II derived from fat mass were calculated. Upon evaluation of waist circumference, waist-to-height, head-to-neck ratios, no statistically significant difference was observed between groups. Strong correlations were found between BMI and DONMA Index-I as well as II in all groups. Overlapping patterns were observed for overweight and obese children for waist circumference, waist-to-height, head-to-neck ratios, BMI and DONMA Index-I. However, DONMA Index-II showed a clear-cut separation between groups; normal weight-overweight and overweight-obese.This study revealed that body ratios and formulas based upon body fat are more valuable parameters than those based on weight for the evaluation of obesity in children.
References
Abulmeaty, M. M. A., Almajwal, A. M., Almadani, N. K., Aldosari, M. S., Alnajim, A. A., Ali, S. B., Hassan, H. M., Alkatawy, H. A. (2017). Anthropometric and central obesity indices as predictors of long-term cardiometabolic risk among Saudi young and middle-aged men and women. Saudi Medical Journal 38, 372-380. https://doi.org/10.15537/smj.2017.4.18758
Alpsoy, S., Akyüz, A., Akkoyun, D.C., Nalbantoğlu, B., Topçu, B., Değirmenci, H., Ozdilek, B., & Donma, M. M. (2013a). Effect of overweight on cardiac function in children. Turkiye Kardiyoloji Derneği Arşivi, 41, 714-23. https://doi.org/10.5543/tkda.2013.02072
Alpsoy, S., Akyuz, A., Akkoyun, D.C., Nalbantoglu, B., Topcu, B., Tulubas, F., Demirkol, M., & Donma, M. M. (2013b). Is Overweight a Risk of Early Atherosclerosis in Childhood?, Angiology, [Epub ahead of print] https://doi.org/10.1177/0003319713476134
Alpsoy, S., Akyuz, A., Akkoyun, D. C., Nalbantoglu, B., Topcu, B., Donma, M. M., Degirmenci, H., & Erselcan, K. (2013c). Effect of obesity on endothelial function and subclinical atherosclerosis in children., Journal of the American College of Cardiology, 62, C39-C40. https://doi.org/10.1016/j.jacc.2013.08.115
Anggraini, D. (2017). The effect of breast milk toward children’s growth: A systematic review. LIFE-International Journal of Health and Life-Sciences, 3, 14-28. https://doi.org/10.20319/lijhls.2017.31.1428
Chua, E. Y., Zalilah, M. S., Haemamalar, K., Norhasmah, S., & Geeta, A. (2017). Obesity indices predict hypertension among indigenous adults in Krau Wildlife Reserve, Peninsular Malaysia., Journal of Health Population and Nutrition, 36, 24. https://doi.org/10.1186/s41043-017-0102-4
Donma, M. M. (2015). Potential mechanisms for obesity-asthma link., Jacobs Journal of Obesity, 1, 1-3.
Donma, M. M. (2016). Milestones along the way towards the inflammatory triad of obesity, asthma and liver diseases., SM Journal of Pediatrics, 1, 1003-1004.
Donma, M. M., & Donma, O. (2010). Trace elements and physical activity in children and adolescents with depression., Turkish Journal of Medical Sciences, 40, 323-333.
Donma, M. M., Donma, O., Aydin, M., Demirkol M., Nalbantoglu, B., Nalbantoglu, A., & Topcu, B. (2016a). Gender differences in morbid obese children: Clinical significance of two diagnostic obesity notation model assessment indices., International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 10, 301-307.
Donma, M. M., & Donma, O. (2017). Association of depression and trace elements in obese children., Namik Kemal Medical Journal, 5, 50-57.
Donma, O., Donma, M.M., Demirkol, M., Aydin, M., Gokkus, T., Nalbantoglu, B., Nalbantoglu, A., & Topcu, B. (2016b). Laboratory indices in late childhood obesity: The importance of DONMA indices., International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 10, 290-296.
Esmaeilzadeh, S., Farzizadeh, R., Kalantari, H. A., Mahmoudi, A., Bilehsavar, O. Y., & Mehranpour, A. (2016). Central or overall obesity: which one is a better predictor of depressive symptoms in children, adolescents, and youths?, Eating and Weight Disorders, [Epub ahead of print] https://doi.org/10.1007/s40519-016-0320-6
Fan, H., Li, X., Zheng, L., Chen, X., Lan, Q., Wu, H., Ding, X., Qian, D., Shen, Y., Yu, Z., Fan, L., Chen, M., Tomlinson, B., Chan, P., Zhang, Y., & Liu, Z. (2016). Abdominal obesity is strongly associated with cardiovascular disease and its risk factors in elderly and very elderly community-dwelling Chinese., Scientific Reports, 6, 21521. https://doi.org/10.1038/srep21521
Jelavic, M. M. Babic, Z., Pintaric, H. (2017). The importance of two metabolic syndrome diagnostic criteria and body fat distribution in predicting clinical severity and prognosis of acute myocardial infarction. Archives of Medical Science, 13, 795-806. https://doi.org/10.5114/aoms.2016.59703
Liu, P. J., Ma, F.,Lou, H. P., Zhu, Y. N. (2016). Body roundness index and body adiposity index: two new anthropometric indices to identify metabolic syndrome among Chinese postmenopausal women. Climacteric, 19, 433-439. https://doi.org/10.1080/13697137.2016.1202229
Ma, C., Wang, R., Liu, Y., Lu, Q., Lu, N., Tian, Y. M., Liu, X. L., Yin, F. Z. (2016). Performance of obesity indices for screening elevated blood pressure in pediatric population: Systemic review and meta-analysis. Medicine, 95, e4811. https://doi.org/10.1097/MD.0000000000004811
Mondal, H., Mishra, S.P. (2017). Effect of BMI, body fat percentage and fat free mass on maximal oxygen consumption in healthy young adults. Journal of Clinical and Diagnostic Research, 11, CC17-CC20. https://doi.org/10.7860/JCDR/2017/25465.10039
Motamed, N., Rabiee, B., Keyvani, H., Hemasi, G. R., Khonsari, M., Saeedian, F. S., Maadi, M., & Zamani, F. (2016). The best obesity indices to discriminate Type 2 diabetes mellitus., Metabolic Syndrome and Related Disorders, 14, 249-53. https://doi.org/10.1089/met.2015.0133
Motamed, N., Sohrabi, M., Poustchi, H., Maadi, M., Malek, M., Keyvani, H., Amoli, M. S., & Zamani, F. (2017). The six obesity indices, which one is more compatible with metabolic syndrome? A population based study., Diabetes and Metabolic Syndrome- Clinical Research & Reviews, 11, 173-177.
NIST/SEMATECH e-Handbook of Statistical Methods. April 2012. Retrieved from http://www.itl.nist.gov/div898/handbook/index.htm.
Oda, E. (2017). LDL cholesterol was more strongly associated with percent body fat than body mass index and waist circumference in a health screening population., Obesity Research & Clinical Practice, pii: S1871-403X(17)30048-0.
Oguoma, V. M., Nwose, E. U., Ulasi, I. I., Akintunde, A.A., Chukwukelu, E. E., Araoye, M. A, Edo, A. E., Ijoma, C. K., Onyia, I. C., Ogbu, I. I., Onyeanusi, J. C., Digban, K. A., Onodugo, O. D., Adediran, O., Opadijo, O. G., Bwititi, P. T., Richards, R. S., Skinner, T. C. (2016). Maximum accuracy obesity indices for scening metabolic syndrome in Nigeria: A consolidated analysis of four cross-sectional studies. Diabetes & Metabolic Syndrome-Clinical Research & Reviews, 10, 121-127. https://doi.org/10.1016/j.dsx.2016.01.001
Patel, S.A., Deepa, M., Shivashankar, R., Ali, M.K., Kapoor, D., Gupta, R., Lall, D., Tandon, N., Mohan, V., Kadir, M. M., Fatmi, Z., Prabhakaran, D., & Narayan, K. M. V. (2017). Comparison of multiple obesity indices for cardiovascular disease risk classification in South Asian adults: The CARRS Study. PLoS One, 12, e0174251. https://doi.org/10.1371/journal.pone.0174251
Tao, Y., Yu, J., Tao, Y., Pang, H., Yu, Y., Yu, Y. Q., Jin, L. N. (2016). Comparison of the combined obesity indices to predict cardiovascular diseases risk factors and metabolic syndrome in northeast China. International Journal of Environmental Research and Public Health, 13, 801. https://doi.org/10.3390/ijerph13080801
Tsioufis, K. P., Dimitriadis, K., Kasiakogias, A., Kalos, T., Konstantinidis, D., Georgiopoulos, G., Thomopoulos, C., Tsiachris, D., Tousoulis, D. (2016). Waist circumference versus other obesity indices as prognosticators of coronary artery disease in essential hypertension. Journal of the American College of Cardiology, 67, 1236-372. https://doi.org/10.1016/S0735-1097(16)31981-7
Wright, M. A. & Jones, J. L. (2017). The problem of childhood obesity and the responsibility of primary care providers: A review. LIFE-International Journal of Health and Life-Sciences, 3, 1-14. https://doi.org/10.20319/lijhls.2017.32.0114
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Authors
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright of Published Articles
Author(s) retain the article copyright and publishing rights without any restrictions.
All published work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
