Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

The effect of applying u-health system on metabolic syndrome management of elderly

U-health system 활용이 남녀노인의 대사증후군 관리에 미치는 영향

  • Chung, Jin-Wook (Dept. of sports science, Korea Institute of Sports Science) ;
  • Sung, Soon-Chang (Dept. of Sport Science, Seoul National University of Science & Technology)
  • Received : 2013.09.12
  • Accepted : 2013.11.20
  • Published : 2013.11.28
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study was to examine the effect of u-health system on metabolic syndrome risk factor, body composition, and fitness in male and female elderly. Subjects were 46 elderly(24 men and 22 women) with metabolic syndrome. They were divided into u-health group and home exercise group. Blood pressure, blood profile, body composition, and fitness were measured before and after the intervention. As a results, blood glucose and waist circumference showed significant interaction in both men and women, respectively. In body composition, weight, muscle mass, fat mass, %body fat, BMI showed significant interaction whereas only muscle mass showed significant differences in women. In fitness, there were interaction shown in 3m up and go, functional reach, and gait speed in men. In women sit to stand, 6min walk, and grip strength showed significant interaction. In conclusion, u-health system seems to be the effective method in terms of checking regularly. However, easier and more simple system for elderly and specific direction for exercise should be added.

본 연구는 u-health system을 활용하여 대사증후군을 관리하고 위험인자, 신체구성, 체력의 변화를 검증하는데 그 목적이 있다. 남녀 노인 46명(남 24명; 여 22명)을 대상으로, 재택 개별 운동군과 u-health system 활용군으로 분류하였으며, 실험군과 대조군은 대사증후군 위험인자, 신체구성, 체력 검사를 실시한 후, 각각의 중재방법을 실시하고 12주 후에 같은 검사를 실시하였다. 대사증후군 지표는 남성과 여성 모두 혈당과 허리둘레에서 유의한 상호작용이 나타났다. 신체구성은 남성에서는 체중, 근육량, 체지방량, 체지방율, BMI에서 유의한 상호작용이 나타났으며, 여성의 경우 남성과 달리 근육량에서만 상호작용이 나타났다. 체력에서는 남성의 경우, 3m 왕복걷기, 기능적 팔뻗기, 보행속도에서 상호작용효과가 나타났으며, 여성의 경우 앉았다 일어나기, 6분 걷기, 악력에서 유의한 차이가 나타나 남성 그룹과는 차이를 보였다. 결론적으로 u-health system 통한 혈압, 혈당, 운동량의 수시 체크와 피드백은 대사증후군을 보다 지속적으로 관리하는데 효과가 있는 것으로 보인다. 그러나 운동 시 정확한 동작이나 방법에 대한 피드백을 제공하는 것은 아직도 부족한 부분이 많은 것으로 생각되어 이에 대한 정확한 정보를 제공할 수 있도록 개선이 필요하다.

Keywords

References

  1. Korea Centers for Disease Control and Prevention. Korea National Health and Nutrition Examination Survey(KNHASE V)(2010-1st year). Seoul: Korea Centers for Disease Control and Prevention;2011.
  2. Lakka, H-M., Laaksonen, D.E., Lakka, T.A., Niskanen, L.K., Kumpusalo, E. et al. The metabolic syndrome and total and cardiovascular disease mortality in middle aged women. The Journal of the American Medical Association, 288(21), 2709-2716, 2002. https://doi.org/10.1001/jama.288.21.2709
  3. Kang, H.S., Hong, H.R. The effects of body mass index, cardio/respiratory fitness, and smoking on the clustering of the metabolic syndrome risk factors in college male student. Journal of Sport and Leisure Studies, 45(2), 709-720, 2011.
  4. Lim, C.S., Jeong, S.T. The effects of combined exercise on the metabolic syndrome factor and biochemical bone marker of high school girls with different ACE gene polymorphisms. The Korean Journal of Physical Education, 50(2), 341-353, 2011.
  5. Kim, J.W., Ahn, C.W. Diabetes management system based on ubiquitous healthcare. J Korean Diabetes, 12(3), 133-137, 2011. https://doi.org/10.4093/jkd.2011.12.3.133
  6. Lee, B.H. A Civilizational approach to the third space pased on ubiquitous revolution. Journal of the Civilization, 6(2), 5-32, 2005.
  7. Yoo, H.S., Ahn, J.E. Recent trend of u-health. 8, 52-61, 2008.
  8. Ryu, S., Lee, J.G., Kim, K.H, Current state of u-health and its developmental strategies in Korea. Journal of Korean Medical Association, 52, 1141-7, 2009. https://doi.org/10.5124/jkma.2009.52.12.1141
  9. Kwon. H.S., Cho. J.H., Kim. H.S., Song. B.R., Ko. S.H., Lee. J.M. et al., Establishment of blood glucose monitoring system using the Internet. Diabetes care, 27(2), 478-483, 2004. https://doi.org/10.2337/diacare.27.2.478
  10. Cho, J.H., Chang, S.A., Kwon, H.S., Choi, Y.H., Ko, S.H., Moon, S.D., et al. Long-term effect of the Internet-based glucose monitoring system on HbA1c reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system. Diabetes Care, 29, 2625-31, 2006. https://doi.org/10.2337/dc05-2371
  11. Ko, E.J. New growth power healthcare of IT industries. LG Business Insight 2008;2-19, 2008.
  12. Kim, J.H., Lee, S.C., Lee, B.G., Chung W.Y, Mobile Healthcare System Based on Bluetooth Medical Device. Journal of Sensor Science and Technology, 21(4), 241-248, 2012. https://doi.org/10.5369/JSST.2012.21.4.241
  13. Lee, Y.G., Park, J.H., Yoon, G.W. Application of biosignal data compression for u-health sensor network system. Journal of Sensor Science and Technology, 21(5), 352-358, 2012. https://doi.org/10.5369/JSST.2012.21.5.352
  14. Song, Y.J., Do, J.M.. Remote healthcare monitoring system using attribute based encryption. Korea Information Processing Society, 19-C(1), 63-70, 2012. https://doi.org/10.3745/KIPSTC.2012.19C.1.063
  15. Kim, Y.K., Huh, J.Y., Park, E.K., Jin, Y.S. Exercise prescripsion support system with Case-Based Reasoning. The Korean Journal of Physical Education, 41(30), 351-358, 2002.
  16. Kim, S.S., Lee, K.W., Bae, J.J. The development of professional computer system for exercise prescription. The Korean Journal of Physical Education, 43(6), 375-385, 2004.
  17. Bae, J.J., Choi, S.O. The development of exercise prescription infrastructure & web application for u-healthcare. Journal of Sport and Leisure Studies, 37(2), 1217-1230, 2009.
  18. Kim, D.J., Kim, I.K., Oh, Y.S., Shin, Y.J. Development of Web-Based Personal Exercise Prescription System for Health Management. Kinesiology, 12(1), 73-82, 2010.
  19. Kim, M.J., Lee, Y.N., Hong, E.S., Lim, J.A., Ahn, H.Y., Kang, S.M. et al. Condition of blood glucose control of diabets patients after u-healthcare study. Proceedings of 24th Spring Congress of Korean Diabetes Association, 286, 2011.
  20. Hong, E.S., Kim, M.J., Lee, Y.N., Kim, Y.E., Kim, E.K., Ahn, H.Y., et al. Effect of ubiquitous healthcare service on quality of life in type 2 diabetes elderly patients. Proceedings of 24th Spring Congress of Korean Diabetes Association, 292, 2011.
  21. Lee, K.W., Son, H.Y., Lee, J.H., Lee, W.C., Yoon, K,H, Establishment of blood glucose monitoring system using the internet. Diabetes Care, 27, 478-83, 2004. https://doi.org/10.2337/diacare.27.2.478
  22. Rikli, R.E., & Jones, J, Senior Fitness Test Manual, Champaign, IL: Human Kinetics, 2001.
  23. Kim, C., Kim, H., Nam, J., Cho, M., Park, J., Kang, E., Ahn, C., Cha, B., Lee, E., Lim, S., Kim, K., Lee, H, Internet diabetic patient management using a short messaging service automatically produced by a knowledge matrix system. Diabetes Care, 30:2857-8, 2007. https://doi.org/10.2337/dc06-2464
  24. Hurley, B.F, Age, gender, and muscular strength. J Gerontol A Biol Sci Med Sci, 50, 41-4, 1995.
  25. Nair, K.S, Aging muscle. Am J Clin Nutr, 81, 953-63, 2005. https://doi.org/10.1093/ajcn/81.5.953
  26. No, J.K. Evaluation of exercise and dietary intake in the Korean elder according to the classification of obesity and metabolic syndrome. Korean J Obes, 21(4), 236-244, 2012. https://doi.org/10.7570/kjo.2012.21.4.236
  27. Chambliss, H.O, Exercise duration and intensity in a weight-loss program. Clin J Sport Med, 15, 113-5, 2005.
  28. Agarwal, S.K, Cardiovascular benefits of exercise. Int J Gen Med, 5, 541-5, 2012.
  29. Jakicic, J.M., Clark, K., Coleman, E., Donnelly, J.E., Foreyt, J., Melanson, E, American College of Sports Medicine position stand. Appropriate intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc, 33, 2145-56, 2001. https://doi.org/10.1097/00005768-200112000-00026

Cited by

  1. Development of Prediction Model for Prevalence of Metabolic Syndrome Using Data Mining: Korea National Health and Nutrition Examination Study vol.14, pp.2, 2016, https://doi.org/10.14400/JDC.2016.14.2.325