Relationship between Selected Anthropometric Variables, Cardiovascular Risk Factors and Endurance Walk in Non-Insulin Dependent Diabetic Participants
American Journal of Health Research
Volume 2, Issue 5-1, October 2014, Pages: 61-66
Received: Sep. 2, 2014;
Accepted: Sep. 19, 2014;
Published: Sep. 27, 2014
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Oluwafemi Oluwasegun, Department of Physiotherapy, State Hospital, Asubiaro, Osun State, Nigeria
Adeyanju Solomon Adekunle, Department of Physical & Health Education, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria
Onigbinde Ayodele Teslim, Department of Medical Rehabilitation, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria
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There appears to be an increasing number of patients with cardiovascular disorders and diabetes but there is paucity of data on likely factors which are related to these disorders. The primary purpose of this study was to examine the relationship between selected anthropometric variables, cardiovascular disease risk factors and cardiovascular response to endurance walk in participants with diabetics. Sixty participants each, with non-insulin dependent and without diabetes were recruited for this study. The weight, height, Body Mass Index, Waist Circumference, Hip Circumference, Sagittal Abdominal Diameter, Waist to Hip Ratio, Waist to Height Ratio, %BF-Percent Body Fat, blood pressure, fasting blood sugar, and distance covered in 6-minute walk test; and other selected adipose tissue variables were measured for each participant while percentage body fat was computed. The descriptive statistics and student t-test were used to analyze the data. The result showed that the age, weight, BP, PR, BMI, WC, WTH, %BF and SAD of the diabetics were significantly higher than that of the non-diabetics (P < 0.05). There was no significant difference between all the selected cardiovascular risk factors between male and female but the distance covered by male was significantly higher than that of female (t = 1.89, p = 0.006). There was significant relationship between systolic BP and BMI (r = 0.27, p = 0.04) and similar trend was observed for between FBS and WHR (r = 0.26, p = 0.05). There was also significant relationship between distances covered during 6-minutes walk test, weight (r = -0.28, p = 0.03) and BMI (r = -0.29, p = 0.03). It was concluded that there was significant relationship between BMI, WHR, blood pressure and blood glucose. Similarly, there was significant difference in most of the anthropometric and adipose tissue variables of diabetics and non-diabetics.
Cardiovascular Risks, Fasting Blood Sugar, Diabetes, Relationship
To cite this article
Adeyanju Solomon Adekunle,
Onigbinde Ayodele Teslim,
Relationship between Selected Anthropometric Variables, Cardiovascular Risk Factors and Endurance Walk in Non-Insulin Dependent Diabetic Participants, American Journal of Health Research. Special Issue: Supplementary Prescribing in Nigeria: A Needy Concept to Promote Clinical Physiotherapy Practice.
Vol. 2, No. 5-1,
2014, pp. 61-66.
Manolis, A.J. (2005). Exercise and Hypertension. European Society of Hypertension Scientific Newsleter.
American Heart Association (1999). Cardiovascular fitness: 1999 Heart and Stroke Update.
Adler, A.I., Strafton, I.M; Neil, H.A. W; Yudkin, J.S; Mattews, D.R; Cull, C.A; et al (2000). Association of Systolic Blood Pressure With Macrovascular and Microvascular Complications of Type 2 Diabetes (UKPDS 36): Prospective Observational Study. BMJ 321 (7258), 412.
Stewart, M.W; Laker, M.P; & Alberti; K.G.M.M. (1993). Effect of Self Monitoring of Triglyceride Concentration In Non-Insulin Dependent Diabetes. BMJ, 306 ( 6876).
Robinson, S. & Johnson, D.G. (1997). Metabolic Disorder: Diabetes. In S. Tomlinson, A.M. Heagerty & A.P. Weetman (Eds.), Mechanisms of Disease: An Introduction to Clinical Science, ( PP 202-244), Cambridge: Cambridge University Press
Van ltallie T.B. (1988). Topography of Body fat: Relationship to Risk of Cardiovascular and Other Diseases. Tn T.G. Lohman, A.T; Roche & R. Martorell (Eds.), Anthropometric Standardization Reference Manual, (PP 143-149), Champaign: Human Kinetics Book.
Wei, M; Gaskill, S.P; Haffner, S.M. & Stern, M.P. (1997). Waist Circumference as The Best Predictor of Non-Insulin Dependent Diabetes Mellitus (NIDDM) Compared to Body Mass Index, Waist/Hip Ratio and Other Anthropometric Measurements In Mexican Americans - A 7-year Prospective Study. Retrieved May 4, 2007 from http://www.ncbi.nlm.nih.gov /entrezl query.fcgi?cmd=retrieve&d b=pu bmed.
Dalton, M; Cameron, A.J; Zimmet, P.Z; Shaw, J.E; Jolley, D; Dunstan, D.W; et al. (2003). Waist Circumference, Waist-Hip Ratio and Body Mass Index and Their Correlation With Cardiovascular Disease Risk in Australian Adult. Journal of Intern Medicine. Retrieved May 4, 2007 from http://www.ncbi.nih.gov/entrez/query.fegi?=retriveve&db=pubmed&dopt=citattion&list_uids.
Ohrvall, M. Berghund, L. & Vessby, B. (2000). Saggital Abdominal Diameter Compared With Other Anthropometric Measurements In Relation to Cardiovascular Risk. International Journal of Obesity. 24 (4). Retrieved May 10,2007 from http://www.nature.com/ijo/journal/v24/n4/full/0801 186a.html.
Thomas, G.N; HO, S; Lam, K.S.L; Janus, E.D; Hedley, A.J & Lam, T.H. (2004). Impact of Obesity and Body Fat Distribution on Cardiovascular Risk factor In Hong Kong Chinese. Obesity Research, 12, 1805-1813. Retrieved May 10, 2007 from http://www .obesityresearch.org/cgi/content/full/12/11/1805.
Nayak, B.S. & Roberts, L. (2006). Relationship Between Inflammatory Markers, Metabolic and Anthropometric Variables In The Caribbean Type 2 Diabetic Patients With and Without Microvascular Complications. Journal of Inflammation. 3:17.
McAlister, F.A. and Strans, S.E. (2001). What Is This Person's Blood Pressure? In C.D. Mulrow (Ed.), Evidence-based Hypertension, ( PP 9-32), London: BMJ Books.
Wright, D.C; & Swan, P.O. (2001). Optimal Exercise Intensify For Individuals With Impaired Glucose Tolerance. American Diabetics Association,14,93-97.