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1 Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis
Kyoung Jin Kim, Jung-Been Lee, Jimi Choi, Ju Yeon Seo, Ji Won Yeom, Chul-Hyun Cho, Jae Hyun Bae, Sin Gon Kim, Heon-Jeong Lee, Nam Hoon Kim
Endocrinol Metab.2022;37(3):547-551.   Published online 2022 June 29     DOI: http://dx.doi.org/10.3803/EnM.2022.1479
      
2 Objectively Measured Sedentary Behavior and Cardiovascular Disease Risk Factors
Hoyong Sung, Jungjun Lim, Junbae Mun, Yeonsoo Kim
Korean J Sports Med.2020;38(3):143-150.   Published online 2020 September 1     DOI: http://dx.doi.org/10.5763/kjsm.2020.38.3.143
      
3 Objective versus Self-reported Physical Activity and Cardiovascular Disease Risk Factors
Hoyong Sung, Jungjun Lim, Junbae Mun, Yeonsoo Kim
Korean J Sports Med.2020;38(1):28-36.   Published online 2020 January 20     DOI: http://dx.doi.org/10.5763/kjsm.2020.38.1.28
   
4 Effectiveness of a Workplace Walking Program Using a Fitness Tracker Including Individual Counseling and Tailored Text Messaging
Mira Jung, Yeongmi Ha
J Korean Acad Community Health Nurs.2019;30(3):257-270.   Published online 2019 September 12     DOI: http://dx.doi.org/10.12799/jkachn.2019.30.3.257
   
5 Are Currently Available Wearable Devices for Activity Tracking and Heart Rate Monitoring Accurate, Precise, and Medically Beneficial?
Fatema El-Amrawy, Mohamed Ismail Nounou
Healthc Inform Res.2015;21(4):315-320.   Published online 2015 October 31     DOI: http://dx.doi.org/10.4258/hir.2015.21.4.315
      

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