COMPARATIVE STUDY OF ANTHROPOMETRICS, BLOOD PRESSURE PHENOTYPES AND BIOMOTOR VARIABLES AMONG SPORTS AND NON-SPORTS UNIVERSITY STUDENTS

Micky Oloo Olutende, Maximilla N. Wanzala, Anthony Muchiri Wangui, Edwin Kadima Wamukoya

Abstract


The aim of this investigation was to compare anthropometric, blood pressure phenotypes and bio-motor variables between sports and non-sports university students aged 21.4 ± 2.1 years (mean ± s) and also to study the discriminating power of selected anthropometric and bio-motor variables among university students in the two groups (sports n=119 and non-sports n=166) in Kenya. A cross-Sectional analytical study design was used in the study. University students randomly selected in both groups (n = 285) volunteered as subjects. Anthropometric parameters assessed included body mass, height, and body fat percentage. The bio-motor variables assessed included upper body endurance and abdominal endurance. Blood pressure phenotypes assessed included pulse rate and mean arterial blood pressure which was computed from systolic and diastolic blood pressures. Multivariate analysis of covariance (MANCOVA) and Linear discriminant analysis (LDA) were used for analysis in Statistical packages for social science version 25. The results showed that the non-sports group had a numerically high BMI and body fat percentage (23.4; 22.2) compared to the sports group (19.8; 17.5). With regards to blood pressure, the mean arterial blood pressure and pulse rate of the non-sports group was high (87.9; 83.3) compared to the sports group (85.9; 75.2). The multivariate test of differences in groups as a result of the linear combination of all predictor variables showed that the mean vectors for the two groups were significant for groups (Pillai’s T, P<0.01) but not for the covariate Age (Pillai’s T, P=.149). Results for the individual test of differences in adjusted means (marginal means) showed that there were statistically significant differences adjusted for age between the sports and non-sports groups in all dependent variables(p<0.05) except Mean arterial blood pressure (f (2,282) =.988, p=.321). Results from the LDA yielded only one significant function and all six variables significantly contributed to the discriminant analysis (Wilks A = 0.639, x2 = 125.34, df=6, p < 0.01, R2 = .36). The structure coefficients of all variables were greater than 0.25. The original classification summary showed that 81.8% of the cases were correctly classified in their respective group. In conclusion, the anthropometric, bio-motor and blood pressure phenotypes of sports students were significantly different from non-sports students. The study recommended that well-planned programs of physical and mental health should be initiated in all educational institutes.

 

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athletes, non-athletes, anthropometric indices, body fat percentage, body composition, linear discriminant analysis (LDA), anthropometric, bio-motor, kinanthropometry, multivariate analysis of covariance (MANOVA), Kenya

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References


Ackland, T., Schreiner, A., & Kerr, D. (1997). Absolute size and proportionality characteristics of World Championship female basketball players. Journal of Sports Sciences, 15, 485-490.

American Heart Association. (1981). Report of subcommittee of post graduate education committee recommendations for human blood pressure determination of sphygmomanometer. Circulation, 64, 510A-509B.

Carter, J. E. L, Heath, B.H. (1990). Somatotyping – development and application. Cambridge, Cambridge University Press.

Carter, J. E. L. (1984). Physical Structure of Olympic athletes, Part II, Kinanthropometry of Olympic Athletes, Ed Karger, Basel.

Damoon, A. L., Ali, N. V., Seyed, A. H., Roya, R. A., & Meysam, A. (2018). Relationship Between the Body Fat Percentage and Anthropometric Measurements in Athletes Compared with Non-Athletes. Zahedan J Res Med Sci, 20(2), e10422. Doi: 10.5812/zjrms.10422.

Gaurav, V., Singh, M., & Singh, S. (2010). Anthropometric characteristics, somatotyping and body composition of volleyball and basketball players. Journal of Physical Education and Sports Management, 1(3), 28-32.

J. Wang and J. Ma. (2006). Health Education, Higher Education Press.

Jingya, B., Ye, He., Jing, W., Xi, H., & Tao, H. (2013). Quantitative analysis and comparison of BMI among Han, Tibetan, and Uyghur university students in northwest China. The scientific World Journal. http://dx.doi.org/10.1155/2013/180863

Kansal, D. K. (2008). Test and Measurement in Sports and Physical Education. D.V.S. Publications New Delhi, 243-244.

Knechtle, B., Knechtle, P., Barandun, U., Rosemann, T. & Lepers, R. (2011). Predictor variables for half marathon race time in recreational male runners. Open Access J. Sports Med. 2, 113-119

Kruschitz, R., Wallner-Liebmann, S. J., Hamlin, M. J., Moser, M., Ludvik, B., Schnedl, W. J., et al. (2013). Detecting body fat-A weighty problem BMI versus subcutaneous fat patterns in athletes and non-athletes. PLoS One, 8(8), e72002. DOI: 10.1371/journal.pone.0072002. [PubMed:23991025]

Legaz, A. & Eston, R. (2005). Changes in performance, skinfold thicknesses, and fat patterning after three years of intense athletic conditioning in high level runners. Brit. J. Sports Med. 39, 851-856

Liliana, E. R., Ileana, M. P. & Alexandru, R. P. (2015). Comparison of anthropometric characteristics between athletes and non-athletes. Social and Behavioral Sciences, 191 (2015), 495 – 499

Mathur, D. N. & Salokun, S. O. (1985). Body Composition of Successful Nigerian Female Athletes. The Journal of Sports Medicine of Physical Fitness, 25(2), 27-31

McLaren, L. (2007). Socioeconomic status and obesity. Epidemiologic reviews, 29(1), 29–48

Nath (1995). Anthropometry, the Measurement of Body Size, Shape and Form. New Delhi: Friends Publication

Norusis, M. (1993). SPSS for windows release 6.0. Chicago: SPSS Inc.

Ogden, C. L., Flegal, K. M., Carroll, M. D. & Johnson, C. L. (2002). Prevalence and trends in overweight among US children and adolescents, 1999-2000. JAMA, 288, 1728-32

Pallob, K.M., & Sanjib, M. (2015). A Study on selected anthropometric characteristics of height-weight matched female athletes and non-athletes. IOSR Journal of Sports and Physical Education, 2(5),41-45

Perusse, L., Rice, T., Bouchard, C., Vogler, G.P. & Rao, D.C. (1989). Cardiovascular risk factors in a French-Canadian Population: Resolution of genetic and familial environmental effects on blood pressure by using extensive information on environmental correlates. Am J Hum Genet, 45, 240-251

Qureshi, A. A. & Khan, M. A. (2019). comparative study of body mass index and fat percentage- among sports and non-sports persons of srinagar. International journal of multidisciplinary educational research,8(12), 216-225

Samaras, T. T. & Elrick, H. (2002). Height, body size, and longevity: is smaller better for the human body? The Western Journal of Medicine, 176 (3), 206–8

Santos, D. A., Silva, A. M., Matias, C. N., Magalhaes, J. P., Minderico, C. S. & Thomas, D. M., et al. (2015). Utility of novel body indices in predicting fat mass in elite athletes. Nutrition,31(7-8),948–54. DOI: 10.1016/j.nut.2015.02.003. [PubMed: 26059366]

Schlomer, G. L., Bauman, S., & Card, N. A. (2010). Best practices for missing data management in counseling psychology. Journal of Counseling Psychology, 57(1), 1-10. doi:10.1037/a0018082

Tabachnick, B., & Fidell, L. (2000). Using multivariate statistics. Boston: Pearson Allyn & Bacon

Unger, R. H. (2003). Weapons of lean body mass destruction: the role of ectopic lipids in the metabolic syndrome. Endocrinology, 144, 5159-65

Verma, S. K. & Mokha, R. (1994). Nutrition Exercise and Weight Reduction. Exercise Science Publication Society, 05-37




DOI: http://dx.doi.org/10.46827/ejpe.v0i0.2453

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