웨어러블 디바이스를 활용한 걷기 활동 모니터링 및 피드백이 중년 여성의 체성분 및 대사증후군 지표 변화에 미치는 영향
Effects of Walking Activity Monitoring and Feedback Using Wearable Device on Body Composition and Metabolic Syndrome Risk Factors in Middle-aged Women
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참고문헌
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초록
이 연구의 목적은 웨어러블 디바이스를 활용한 걷기 활동에 대한 모니터링과 피드백이 중년 여성의 체성분 및 대사증후군 지표 변화에 미치는 영향을 분석하고자 실시하였다. 연구 대상자는 6 개월간 모바일 연동 웨어러블 디바이스를 사용하였으며, 지원하는 모바일 앱을 통해 자동 전송된보행 수 및 활동량 정보를 모니터링을 통해 피드백을 제공하였다. 연구 결과 체중, 골격근량, 그리고 체지방률에서 통계적으로 유의한 차이가 나타났다(p<.001). 대사증후군 지표 변화는 수축기혈압(p<.05), 공복 혈당(p<.01), 복부둘레(p<.001)에서 유의한 차이가 나타났고, TC(p<.001)와LDL-C(p<.05)에서 유의한 차이가 나타났다. 따라서 쉽고 편리하게 적용 가능한 웨어러블 디바이스는 좌업적인 생활습관을 가진자들의 신체활동량 증가와 대사증후군 예방을 위한 효과적인 도구로볼 수 있다.
Abstract
The purpose of this study is to analyze the effect of monitoring and feedback on walking activity using wearable devices on changes in body composition and metabolic syndrome factors in middle-aged woman. The subjects use a mobile interlocking wearable device for 6 month, feedback is provided through mobile app automatically transmitted step counter and walking activity. As a results, significantly difference shows on body weight, skeletal muscle mass, and body fat in statistically(p<.001). In changes of metabolic syndrome factor, systolic(p<.05), fasting flucose(p<.01), abdominal circumference(p<.001), TC(p<.001), and LDL-C(p<.05) are significantly difference. In conclusion, wearable devices that can be conveniently applied is an effective tool to increase walking activity and prevent metabolic syndrome of people with a sedentary lifestyle.
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