Author(s): Muhammad Zuhaili Suhaimi, Rabiu Muazu Musa, Muhammad Zulhusni Suhaimi, Mohamad Razali Abdullah, Ahmad Bisyri Husin Musawi Maliki

Email(s): rabiumuazu86@gmail.com

DOI: 10.52711/0974-360X.2021.00569   

Address: Muhammad Zuhaili Suhaimi1, Rabiu Muazu Musa1, Muhammad Zulhusni Suhaimi2, Mohamad Razali Abdullah3, Ahmad Bisyri Husin Musawi Maliki4
1Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, 21030, Kuala Nerus Terengganu, Malaysia.
2Department of Applied Health Sciences, Faculty of Science, Universiti Tunku Abdul Rahman (UTAR), Kampar Campus, 31900 Kampar, Perak, Malaysia.
3East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, 21300, Kuala Nerus, Terengganu, Malaysia.
4Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, 21300, Kuala Nerus, Terengganu, Malaysia.
*Corresponding Author

Published In:   Volume - 14,      Issue - 6,     Year - 2021


ABSTRACT:
Body mass index (BMI) is a significant marker in assessing the health risk factors of an individual. Although, the discovery of BMI is over 200 years, however, its application as a measure of health is fairly new. Hitherto, the prevalence of higher BMI amongst university students is on the rise. Consequently, the present study endeavor to investigate the association of BMI and other health-related parameters namely; per cent body fat, visceral fat, basal metabolic rate (BMR), systolic and diastolic blood pressure, resting heart rate, core and upper muscle endurance, maximum oxygen consumption (V02max) and metabolic equivalent (MET). A total number of 232 university students were enrolled and completed the physical fitness assessments and health indicator measurement of the variables. A multiple Linear Regression (MLR) was used to observe the association of the BMI as the dependent variable with the physical fitness as well as health parameters as independent variables. A significant regression model was obtained F (3.225, 5) = 301.104, P <0.0001, R2 = 0.869 demonstrating that the model has accounted for about 87% variability of the whole dataset. Sensitivity analysis demonstrated that per cent body fat, visceral fat, BMR, as well as VO2max, are the major contributors towards the model prediction P <0.001. Moreover, positive significant relationships were detected between the BMI, per cent body fat, visceral fat, BMR, systolic and diastolic blood pressure whilst negative association between the BMI and performance in upper muscle endurance and VO2max were noted. BMI index could be a potential marker of assessing university students’ health-related risks that would consequently reveal vital information about their overall health status.


Cite this article:
Muhammad Zuhaili Suhaimi, Rabiu Muazu Musa, Muhammad Zulhusni Suhaimi, Mohamad Razali Abdullah, Ahmad Bisyri Husin Musawi Maliki. The Effect of Body Mass Index on Health-Related Parameters in University Students. Research Journal of Pharmacy and Technology. 2021; 14(6):3271-5. doi: 10.52711/0974-360X.2021.00569

Cite(Electronic):
Muhammad Zuhaili Suhaimi, Rabiu Muazu Musa, Muhammad Zulhusni Suhaimi, Mohamad Razali Abdullah, Ahmad Bisyri Husin Musawi Maliki. The Effect of Body Mass Index on Health-Related Parameters in University Students. Research Journal of Pharmacy and Technology. 2021; 14(6):3271-5. doi: 10.52711/0974-360X.2021.00569   Available on: https://rjptonline.org/AbstractView.aspx?PID=2021-14-6-59


REFERENCES:
1.    Engin A. The definition and prevalence of obesity and metabolic syndrome. In: Obesity and Lipotoxicity. Springer; 2017: 1-17.
2.    Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J Clin Nutr. 2002;75(6): 971-977.
3.    De Pergola G, Silvestris F. Obesity as a major risk factor for cancer. J Obes. 2013; 2013.
4.    Singh S, Shankar R, Singh GP. Prevalence and Associated Risk Factors of Hypertension: A Cross-Sectional Study in  Urban Varanasi. Int J Hypertens. 2017;2017:5491838. doi:10.1155/2017/5491838
5.    Kim TN, Park MS, Kim YJ, et al. Association of low muscle mass and combined low muscle mass and visceral obesity with low cardiorespiratory fitness. PLoS One. 2014;9(6):e100118.
6.    He Q, Wong T, Du L, et al. Physical activity, cardiorespiratory fitness, and obesity among Chinese children. Prev Med (Baltim). 2011; 52(2): 109-113.
7.    Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta‐analysis. Obes Rev. 2016; 17(2): 95-107.
8.    Artero EG, Ruiz JR, Ortega FB, et al. Muscular and cardiorespiratory fitness are independently associated with metabolic  risk in adolescents: the HELENA study. Pediatr Diabetes. 2011;12(8):704-712. doi:10.1111/j.1399-5448.2011.00769.x
9.    Maggio ABR, Hofer MF, Martin XE, Marchand LM, Beghetti M, Farpour-Lambert NJ. Reduced physical activity level and cardiorespiratory fitness in children with  chronic diseases. Eur J Pediatr. 2010;169(10):1187-1193. doi:10.1007/s00431-010-1199-2
10.    Devi VA. A Correlational Study to Assess the Knowledge on Nutrition of Under Five Children among the Migrating Mothers and Prevalence of Nutritional Problems among Their Children in Selected Rural Community, Thiruvallur District, Tamil Nadu. Asian J. Nur. Edu. & Research.2011; 1(1): 15-1
11.    Durai VN. A Study to Assess the Effectiveness of Teaching Programme on Social Anxiety among Adolescents in Selected Schools at Puliangudi, Thirunelveli District, Tamilnadu. Asian J. Nur. Edu. & Research. 2011; 1(2): 68-70.
12.    Maliki ABHM, Abdullah MR, Juahir H, et al. The role of anthropometric, growth and maturity index (AGaMI) influencing youth soccer relative performance. In: IOP Conference Series: Materials Science and Engineering. Vol 342.; 2018. doi:10.1088/1757-899X/342/1/012056
13.    Balakrishnan P . Anthropometric Measurements. Asian J. Nur. Edu. & Research. 2012; 2(1): 40-42.
14.    Ortega FB, Artero EG, Ruiz JR, et al. Reliability of health-related physical fitness tests in European adolescents. The  HELENA Study. Int J Obes (Lond). 2008;32 Suppl 5:S49-57. doi:10.1038/ijo.2008.183
15.    Maliki ABHM, Abdullah MR, Juahir H, et al. A multilateral modelling of Youth Soccer Performance Index (YSPI). In: IOP Conference Series: Materials Science and Engineering. Vol 342. ; 2018. doi:10.1088/1757-899X/342/1/012057
16.    Zaqout M, Vyncke K, Moreno LA, et al. Determinant factors of physical fitness in European children. Int J Public Health. 2016;61(5):573-582. doi:10.1007/s00038-016-0811-2
17.    Ahmaidi SB, Varray AL, Savy-Pacaux AM, Prefaut CG. Cardiorespiratory fitness evaluation by the shuttle test in asthmatic subjects  during aerobic training. Chest. 1993;103(4):1135-1141. doi:10.1378/chest.103.4.1135
18.    Gasibat Q, Mesrati MH, Musa RM, Zidan AA. Effective recovery and control of chronic low back pain by using rehabilitation exercises therapy. Res J Pharm Technol. 2019;12(9):4313-4323. doi:10.5958/0974-360X.2019.00742.X
19.    Mayorga-Vega D, Aguilar-Soto P, Viciana J. Criterion-Related Validity of the 20-M Shuttle Run Test for Estimating  Cardiorespiratory Fitness: A Meta-Analysis. J Sports Sci Med. 2015;14(3): 536-547.
20.    Sproule J, Kunalan C, McNeill M, Wright H. Validity of 20-MST for predicting VO2max of adult Singaporean athletes. Br J Sports Med. 1993;27(3):202-204. doi:10.1136/bjsm.27.3.202
21.    Suneetha. P. A Study to Assess the Effectiveness of Structured Teaching Programme on Blood Transfusion among Student Nurses in Selected Nursing Institution at Raichur. Asian J. Nur. Edu. & Research. 2011; 1(1): 12-14.
22.    Smita More, Tejashree Ghadge. Fast Disintegrating Tablets: An Overview. Asian J. Res. Pharm. Sci. 2013; 3(2): 47-55.
23.    Abdullah MR, Hairi MSNA, Musa RM, Maliki ABHM, Kosni NA. Prediction of Specific Physical characteristic and Fitness Related Variables on Cardiovascular Endurance among some Selected Uniform Arm Units of University Sultan Zainal Abidin, Malaysia. Malaysian J Movement, Heal Exerc. 2017;6(1).
24.    Ando T, Piaggi P, Bogardus C, Krakoff J. VO2max is associated with measures of energy expenditure in sedentary condition but does not predict weight change. Metabolism. 2019; 90: 44-51.
25.    Eswaramoorthi V, Abdullah MR, Maliki A, et al. A Comparative Study on Different Bmi Category And Motor Skill Fitness Profiles of Malaysian Children. Man India. 2018;97(22): 387-396.
26.    Abdullah MR, Eswaramoorthi V, Musa RM, et al. The Effectiveness of Aerobic Exercises at difference Intensities of Managing Blood Pressure in Essential Hypertensive Information Technology Officers. J Young Pharm. 2016; 8(4).
27.    Ortega FB, Sui X, Lavie CJ, Blair SN. Body Mass Index, the Most Widely Used But Also Widely Criticized Index: Would a  Criterion Standard Measure of Total Body Fat Be a Better Predictor of Cardiovascular Disease Mortality? Mayo Clin Proc. 2016;91(4):443-455. doi:10.1016/j.mayocp.2016.01.008

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