디지털융복합연구 (Journal of Digital Convergence)

  • 제11권11호
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  • Pages.553-560
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  • 2013
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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U-health system 활용이 남녀노인의 대사증후군 관리에 미치는 영향

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

  • 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)
  • 투고 : 2013.09.12
  • 심사 : 2013.11.20
  • 발행 : 2013.11.28
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초록

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.

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.

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피인용 문헌

  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