Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Effects of Increase in Physical Activity Using Mobile Health Care on the Body Composition and Metabolic Syndrome Risk Factors in 30-40's Male Office Workers.

  • Lee, Jin-Wook (Dept. of Exercise Prescription Rehabilitation, Dankook University) ;
  • Park, Sung-Soo (Dept. of Leisure Sports, Suwon Women's University)
  • Received : 2018.09.28
  • Accepted : 2018.10.01
  • Published : 2018.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study was to investigate the effect of health care on the body composition and metabolic Syndrome risk factors in male office workers. The subjects of this study were 30~40's male office workers and their physical activities were increased by mobile healthcare. The date analysis in this study was carried out paired t­test using SPSS 20.0 version(${\alpha}=.05$). The result of study were as follow: First. body composition kg(p<.015), BMI(p<.041), WC(p<.026) were significantly decreased after Increase in Physical Activity Using Mobile Health Care, although these did not reach statistical significance, SMM(p<.123), BF(p<.059) was slightly increased and decreased trend. Second, SBP(p<.300), DBP(p<.384) was slightly decreased trend and BS(p<.034) were significantly decreased after Increase in Physical Activity Using Mobile Health Care, Third, plasma TC(p<.015), TG(p<.003), LDL-C)(p<.000) were significantly decreased after Increase in Physical Activity Using Mobile Health Care and plasma HDL-C (p<.003) were significantly increased. These results suggest that increased physical activity using mobile health care has a positive effect on the body composition and metabolic syndrome index in male office workers. Sedentary lifestyles could be changed by Continuous feedback using mobile healthcare.

Keywords

References

  1. Asian Economic News, 'Connected Society' Korea, Internet & Smartphone penetration 1st place, http://www.asiae.co.kr/news/view.htm?idxno=2018062108350352654, 21 Jun 2018.
  2. ElHelw, M., Pansiot, J., McIlwraith, D., Ali, R., Lo, B., & Atallah, L., "An integrated multi-sensing framework for pervasive healthcare monitoring. In Pervasive Computing Technologies for Healthcare 2009.," PervasiveHealth 3rd International Conference, pp. 1-7, IEEE, 2009.
  3. Nageba, E., Rubel, P., & Fayn, J., "Context-aware mobile services adaptation to dynamic resources. Application to mHealth.," In Mobile and Wireless Networking (iCOST), International Conference on Selected Topics, pp. 42-47, IEEE, 2012.
  4. Postolache, O., Girao, P. S., Ribeiro, M., Guerra, M., Pincho, J., Santiago, F., & Pena, A., "Enabling telecare assessment with pervasive sensing and Android OS smartphone.," In Medical Measurements and Applications Proceedings (MeMeA), IEEE International Workshop, pp. 288-293, 2011.
  5. WHO(World Health Organization), "mHealth-new horizons for health through mobile technologies, global observatory for ehealth series," Vol. 3, 2011.
  6. E. B Ha, C. M Lim, J. H. Choi, Determinants of Continuous Use of Mobile Healthcare Applications- Focused on 'S Health' application of Galaxy S4. Proceedings of HCI Korea, pp. 645-650, 2014.
  7. Y. W. Lee, Artificial intelligence healthcare expects to create new high value-added services, KISTI, 2016.
  8. M. Y. Ha, Y. J. Lee, Su. J. Kwon, J. W. Kim, The Effect of Health Behavior Record on Health Behavior Change of Healthcare Users, Proceedings of HCI Korea, No. 1, pp. 444-448, 2018.
  9. S. G. Gum, Smart healthcare industry trend and Busan's policy direction, BDI Policy focus, Vol. 1, No. 319, pp. 1-12, 2017.
  10. Y. A. Shin, J. S. Ok, Relationships between Age, Physical Activity and Obesity Index in Men, Journal of Wellness, Vol. 7, No. 3, pp. 199-208, 2012.
  11. Jakes, R. W., Daym N. E., Khaw, K. T., Luben,R., Oakes, S., Welch, A., Bingham, S., &Wareham, N. J, Television viewing and low participation in vigorous recreation are independently associated with obesity and markers of cardiovascular disease risk: EPOC-Nor folk population-based study, European Journal of Clinical Nutrition, Vol. 57, No. 9, pp. 1089-1096, 2003. https://doi.org/10.1038/sj.ejcn.1601648
  12. Y. H. An, S. J. Park, H. M. Choi, J. K. Kim, H. S. Nho, Intensity of Physical Activity used Subjective the International Physical Activity Questionnaire on Physical Fitness and Coronary Risk Factors, The Korean Journal of Growth and Development, Vol. 23, No. 1, pp. 45-51, 2015.
  13. J. H. Kang, B. G. Jeong, Y. G. Cho, H. R. Song, & K. A. Kim, Socioeconomic costs of overweight and obesity in Korean adults, Journal of Korean medical science, Vol. 26, No. 12, pp. 1533-1540, 2011. https://doi.org/10.3346/jkms.2011.26.12.1533
  14. I. K. Kang, The Analysis of Body Composition, Life Style, Nutritional Status of Middle Aged Men by Physical Activity Level, Journal of Wellness, Vol. 12, No. 2, pp. 359-369, 2017.
  15. H. K. Kim, M. J. Kim, C. G. Park, & H. O. Kim,"Do the determinants of physical activity change by physical activity level, Journal of advanced nursing, Vol. 65, No. 4, pp. 836-843, 2009. https://doi.org/10.1111/j.1365-2648.2008.04941.x
  16. Y. K. Jeon, Y. S. Jekal, nvironmental Correlates of Leisure Time Physical Activity Participation, Journal of Wellness, Vol. 10, No. 1, pp. 233-246, 2015.
  17. Leslie, E., Owen, N., Salmon, J., Bauman, A.,Sallis, J. F., & Lo, S. K., Insufficiently active Australian college students: perceived personal, social and environmental influences, Preventive Medicine, 28, pp. 20-27, 1999. https://doi.org/10.1006/pmed.1998.0375
  18. K. C. Joo, H. J. Lee, The relationship between regular exercise and both Framingham Risk Score and determinant of Metabolic Syndrome in middle-aged men, Korean Exercise Science Academy, Vol. 15, No. 3, pp. 181-191, 2006.
  19. H. J. Suh, H. S. Hong, M. J. Kim, W. J. Yoon, T. H. Lee, J. Y. Jung, S. H. Hwang, Y. T. Cho, Mhealth apps : The current status of usage and the factors of continuous use, Journal of the HCI Society of Korea, Vol. 10, No. 1, pp. 19-27, 2015. https://doi.org/10.17210/jhsk.2015.05.10.1.19
  20. L. S. Lee, S. H. Lee J. S. Jeong, K. Y. Noh, Psychological Factors Influencing Continuous Use of Mobile Healthcare Applications, Journal of Digital Convergence, Vol. 15, No. 7, pp. 445-456, 2017. https://doi.org/10.14400/JDC.2017.15.7.445
  21. Tudor-Locke, C, Burkett, L, Reis, J. P, Ainsworth, B. E, Macera, C. A, & Wilson, D. K, How many days of pedometer monitoring predict weekly physical activity in adults?, Preventive medicine, Vol. 40, No. 3, pp. 293-298. 2005. https://doi.org/10.1016/j.ypmed.2004.06.003
  22. C. W. Son, Obesity of Seoul Citizens, the Seoul Institute, Vol. 1, No. 223, pp. 1-18, 2017.
  23. Statistics Korea, Life Time Survey, 2009.
  24. Ekelund, U., Brage, S., Besson, H., Sharp, S., Wareham, N. J., Time spent being sedentary and weight gain in healthy adults, Am J Clin Nutr, Vol. 88, No. 3, pp. 612-617, 2008. https://doi.org/10.1093/ajcn/88.3.612
  25. Laaksonen, D. E., Lakka, H. M., Niskanen, L. K, Kaplan, G. A., Salonen, J. T., Lakka, T. A., Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested of the metabolic syndrome in a prospective cohort study, American Journal of Epidemiology, Vol. 156, pp. 1070-1077. 2002. https://doi.org/10.1093/aje/kwf145
  26. E. S. Lee, M. G. Park, A Study on the Walking Activity Measurement System Based on u-Healthcare, Korea Multimedia Society, Vol. 13, No. 2, pp. 709-712, 2010.
  27. M. S. Kim, S. H. Kim, S. H. Lee, The Correlations of Walking Exercise Program-Induced Abdominal Visceral Fat Loss with Metabolic Syndrome Risk Factors, Journal of Digital Convergence, Vol. 14, No. 11, pp. 589-596, 2016. https://doi.org/10.14400/JDC.2016.14.11.589
  28. S. H. Lee, Y. Y. Jin, J. K. Cho, T. K. Kim, T. Wo. Kim, D. H. Kim, E. S. Ann, H. S. Kang, Effects of aerobic walking exercise on insulin resistance in obese middle-aged women, Exercise Science, Vol. 19, No. 2, pp. 155-164, 2010. https://doi.org/10.15857/ksep.2010.19.2.155
  29. M. S. Kim, S. Kim, S. H. Lee, Effects of walking exercise for wellness convergence in the digital age - Based on physical activity -, Journal of Digital Convergence, Vol. 13, No. 5, pp. 365-374, 2015. https://doi.org/10.14400/JDC.2015.13.5.365
  30. M. S. Seo, S. E. Hur, J. S. Lee, S. H. Park, H. W. Moon, Changes of adult men and women's body composition and physical capacity by mobile device training for 12weeks, Korean Journal of Sports Science, Vol. 26, No. 2, pp. 1149-1157, 2017.
  31. Haskell. W. L, The influence of exercise on the concentrations of triglyceride and cholesterol in human plasma, Exercise and sport sciences reviews, Vol. 12, pp. 205-244, 1984.
  32. Lewington, S, Prospective studies collaboration, Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies, Lancet, Vol. 360, pp. 1903-1913, 2002. https://doi.org/10.1016/S0140-6736(02)11911-8
  33. Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., & Roccella, E. J, Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension, Vol. 42, pp. 1206-1253, 2003. https://doi.org/10.1161/01.HYP.0000107251.49515.c2
  34. Y. S. Lim, An Association of Participation in Walking with Body Composition, Blood Lipids, and Bone Density in Middle-Aged Men for 12 Weeks, Suwon University Gradute School, 2015.
  35. Fraser. R. S, Chapman. C. B, Studies on effect of exercise on csrdiovascular function, blood pressure and pulse rate, Circ., Vol. 9, pp. 193-198, 1954. https://doi.org/10.1161/01.CIR.9.2.193
  36. Kokkinos, P. F., Narayan, P., & Papademetriou, V, Exercise as hypertension therapy, Cardiology clinics, Vol. 19, No. 3, pp. 507-516, 2001. https://doi.org/10.1016/S0733-8651(05)70232-0
  37. Cefalu. W. T, Insulin resistance: cellular and clinical concepts, Experimental biology and medicine, Vol. 226, No. 1, pp. 13-26, 2001. https://doi.org/10.1177/153537020122600103
  38. McLaughlin, T, Abbasi, F, Cheal, K, Chu, J, Lamendola, C, & Reave, G, Use of metabolic markers to identify overweight individuals who are insulin resistant, Ann. Intern. Med., Vol. 139, No. 10, pp. 802-809, 2003. https://doi.org/10.7326/0003-4819-139-10-200311180-00007
  39. H. J. Lee, The Effects of the Type of 12-weeks Walking Exercise on Body Composition, Blood Lipid and Leptin-Hormone, BMD in Middle-aged Woman, Suwon University Gradute School, 2009.
  40. S. M. Kim, S. H. Lee, Effects of 12 Week Walking Exercise on Body Composition and Metabolic Syndrome Indices in Middle-aged Women, The Korean Entertainment Industry Association, Vol. 7, No. 3, pp. 123-132, 2013. https://doi.org/10.21184/jkeia.2013.09.7.3.123
  41. Gudat, U, Bungert, S, Kemmer, F, & Heinemann, L, The blood glucose lowering effects of exercise and glibenclamide in patients with type 2 diabetes mellitus, Diabet. Med., Vol. 15, No. 3, pp. 194-198, 1998. https://doi.org/10.1002/(SICI)1096-9136(199803)15:3<194::AID-DIA546>3.0.CO;2-2
  42. Poirier. P, Giles, T. D, Bray, G. A, Hong, Y, Stern, J. S, Pi-Sunyer, F. X, & Eckel, R. H, Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism, Circulation, Vol. 113, No. 6, pp. 898-918, 2006. https://doi.org/10.1161/CIRCULATIONAHA.106.171016
  43. Thompson, P. D, Cullinane, E, Henderson, L. O, & Herbert, P, Acute effects of prolonged exercise on serum lipids, Metabolism, Vol. 29, No. 7, pp. 662-665, 1980. https://doi.org/10.1016/0026-0495(80)90111-0
  44. Aro, A, Soimakallio, S, Voutilainen, E, Ehnholm, C., & Wiljasalo, M, Serum lipoprotein lipid and apoprotein levels as indicators of the severity of angiographically assessed coronary artery disease, Atherosclerosis, Vol. 62, No. 3, pp. 219-225, 1986. https://doi.org/10.1016/0021-9150(86)90096-1
  45. Haskell, W. L, The influence of exercise on the concentrations of triglyceride and cholesterol in human plasma. Exercise and sport sciences reviews, Vol. 12, pp. 205-244, 1984.
  46. C. J. Kim, H. W. Kim, Effects of an 8weeks Walking Exercise on Blood Lipid and HbA1c in Obese Old Women, The Korean Journal of Sport, Vol. 15, No. 2, pp. 609-616, 2017.
  47. S. H. H, Effect of 12 Weeks Walking Exercise for Physical Fitness, Body Composition, and Blood Lipids in Obese Women, Korean Association of Security and Safety, Vol. 8, No. 1, pp. 135-150. 2012.
  48. H, Lee, The effects of the speed of walking exercise on body composition, blood lipid profiles and insulin resistance in obese men, The Korean Society Of Sports Science, Vol. 20, No. 1, pp. 853-862, 2011.
  49. Seip, R. L, & Semenkovich, C. F, Skeletal muscle lipoprotein lipase: molecular regulation and physiological effects in relation to exercise, Exercise and sport sciences reviews, Vol. 26, pp. 191-213, 1998.
  50. Superko, H. R, Exercise training, serum lipids, and lipoprotein particles: is there a change threshold?, Medicine and science in sports and exercise, Vol. 23, No. 6, pp. 677-685, 1991.
  51. Jakes, R. W, Day, N. E, Khaw, K. T, Luben, R, Oakes, S, Welch, A, & Wareham, N. J, Television viewing and low participation in vigorous recreation are independently associated with obesity and markers of cardiovascular disease risk: EPIC-Norfolk population-based study, European journal of clinical nutrition, Vol. 57, No. 9, pp. 1089-1096, 2003. https://doi.org/10.1038/sj.ejcn.1601648
  52. S. H. Park, E. S. Yoon, S. Y. Jae, Seven Days Breaking Up Prolonged Sitting Improves Systemic Endothelial Function in Sedentary Men, Exercise Science, Vol. 26, No. 1, pp. 61-68, 2017. https://doi.org/10.15857/ksep.2017.26.1.61