METABOLLIC SYNDROME COMPONENTS AS A RISK FACTOR TO THE HEALTH STATUS OF UNIVERSITY STUDENTS IN KENYA

Kiganda, Evans Ovamba; Tuvei, Susan Mamusavu; Malesi, Sheilla

dc.contributor.author	Kiganda, Evans Ovamba
dc.contributor.author	Tuvei, Susan Mamusavu
dc.contributor.author	Malesi, Sheilla
dc.date.accessioned	2019-10-17T06:53:13Z
dc.date.available	2019-10-17T06:53:13Z
dc.date.issued	2019-09
dc.identifier.citation	[1] American Heart Association. (2015). What is metabolic syndrome. Dallas: American Heart Association. [2] CDC. (2012). Benefits of achieving optimal CVD risk factor levels for older men. Atlanta: Centers for Disease Control and Prevention. [3] Cichon, M., Newbrander, W., Yamabana, H., Weber, A., Normand, C., Dror, D., et al. (1999). Modelling in health care finance:A compendium of quantitative techniques for health care financing. Geneva: International Labour Office (ILO). [4] De Silva, S. T., Niriella, M. A., Ediriweera, D. S., Kottahachchi, D., Kasturiratne, A., Silva, A. P., et al. (2019). Incidence and risk factors for metabolic syndrome among urban, adult Sri Lankans: A prospective, 7-year community cohort, follow-up study. Diabetology & Metabolic Syndrome, 11(66), 1-7. [5] García-Muñoz, T., Neuman, S., & Neuman, T. (2014). Health risk factors among the older european populations: Personal and country effects. Bonn. Discussion paper no.8529: Institute for the Study of Labour. [6] Gupta, R., Sarna, M., Thanvi, J., Sharma, V., & Gupta, V. P. (2007). Fasting glucose and cardiovascular risk factors in an urban population. Journal of the Association of Physicians of Indian, 55, 705-709. [7] Markus, L., & Sandison, B. (2017). Impact of overweight and obesity as a risk factor for chronic conditions: Australian burden of disease study . Canberra: Australian Institute of Health and Welfare. [8] Mendrick, D. L., Diehl, A. M., Lisa , T. S., Rodney , D. R., Yvonne , W., Merrill, L. M., et al. (2018). Metabolic syndrome and associated diseases: From the bench to the clinic. Toxilogical Sciences, 162(1), 36–42. [9] Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., et al. (2003). Prevalence of obesity, diabetes and obesity- related health risk factors, 2001. Journal of American Medical Association, 289(1), 76-79. [10] Muriithi, M. K. (2013). The demand for health care in a Nairobi slum : The role of quality and information. Kocani, Republic of Macedonia: European Scientific Institute. [11] Pap, D., Colak, E., Majkic-Singh, N., Gordana, G., & Sanja, V. (2013). Lipoproteins and other risk factors for cardiovascular disease in a student population. J Med Bioche, 32, 140 –145. [12] Republic of Kenya. (2015). Kenya stepwise survey for non communicable diseases risk factors 2015 report. Nairobi: Kenaya National Bureau of Statistics. [13] Sibai, A., Tohme, R. A., Mahfoud, Z., & Chaaya, M. (2009). Non-communicable diseases and behavioral risk factor survey. Beirut: World Health Organization. [14] Sturm, R. (2002). The effects of obesity, smoking and drinking on medical problems and costs. UCLA/RAND : The People-to-People Health Foundation, Inc.	en_US
dc.identifier.issn	2581-5334
dc.identifier.uri	http://erepository.kafuco.ac.ke/123456789/41
dc.description.abstract	An efficient healthcare system targets the maintenance or improving the health position for citizens that can be achieved through disease and illness prevention based on curative and preventive care. Kenya currently experiences a change in its diseases burden from infectious to noncommunicable diseases. This has been fueled by adoption of unhealthy lifestyles and other health risk factors such as metabolic syndrome components (MSCs) whose magnitude and impact especially among young generations has not been documented appropriately. The drive of the research was to investigate the (MSCs) as a risk factor to the health status of University students in Kenya. A cross sectional study involving 430 students from Maseno University, Kenya and anthropometric measurements based on World Health Organization (WHO) and American Heart Association were adopted. Results indicated a high prevalence of ill health at 52.6% for a period of up to 3 months among the University students. The study concluded that prevalence of ill health among University students may be majorly attributed to the abnormality in the MSCs of waist circumference, blood sugar and HDLC. The study therefore recommends appropriate measures need to be undertaken by Kenyan Universities including the adoption of health education as part of the curriculum to sensitize students on the significance of embracing healthy lifestyles as a preventive measure against ill health.	en_US
dc.language.iso	en	en_US
dc.publisher	IJCIRAS	en_US
dc.relation.ispartofseries	Vol. 2;Issue. 4
dc.subject	Health status, metabolic syndrome (MS) components	en_US
dc.title	METABOLLIC SYNDROME COMPONENTS AS A RISK FACTOR TO THE HEALTH STATUS OF UNIVERSITY STUDENTS IN KENYA	en_US
dc.type	Preprint	en_US