Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Postprandial Glycemic Responses to Exercise Type Using Continuous Glucose Monitoring (CGM): A Pilot Study in Overweight Young Adults

연속혈당측정 기반 운동 유형별 식후 혈당 조절 양상 평가: 과체중 성인 대상 파일럿 연구

  • Sangcheol Park (Department of Physical Therapy, Konyang University) ;
  • Mina Kim (Department of Physical Therapy, Konyang University) ;
  • Junseo Um (Department of Physical Therapy, Konyang University) ;
  • Ki-Sik Tae (Department of Biomedical Engineering, Konyang University) ;
  • Hyun-Ju Lee (Department of Physical Therapy, Konyang University)
  • 박상철 (건양대학교 물리치료학과) ;
  • 김미나 (건양대학교 물리치료학과) ;
  • 엄준서 (건양대학교 물리치료학과) ;
  • 태기식 (건양대학교 의공학과) ;
  • 이현주 (건양대학교 물리치료학과)
  • Received : 2026.01.23
  • Accepted : 2026.02.04
  • Published : 2026.02.28
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Abstract

This pilot study investigated individual differences in postprandial glycemic responses to various exercise modalities performed 30 minutes after meals in overweight young adults using Continuous Glucose Monitoring (CGM). Four participants completed a repeated-measures protocol including a control condition and four exercise modalities: aerobic exercise, resistance training, High-intensity Interval Training (HIIT), and Pilates. Postprandial glucose exposure was quantified as the Area Under the Curve (AUC) over 120 minutes. All exercise conditions demonstrated a consistent tendency to reduce postprandial glucose AUC compared with the control condition, yielding a large effect size (Kendall's W = 0.56), despite the absence of statistical significance (p=.06) due to the small sample size. Notably, the exercise modality associated with the lowest glucose AUC differed across individuals. Furthermore, no significant association was observed between Heart Rate (HR) based exercise intensity and glucose reduction rates (r= -0.14, p=.60). These findings suggest that higher exercise intensity does not uniformly translate to superior postprandial glycemic control and highlight substantial inter-individual variability in metabolic responses. CGM-based monitoring may therefore provide a practical framework for precision exercise prescription tailored to individual glycemic response patterns.

Keywords

Acknowledgement

본 연구는 2025년도 교육부 및 대전광역시의 재원으로 대전 RISE 센터의 지원을 받아 수행된 지역혁신중심 대학지원체계(RISE)의 결과입니다(2025-RISE-06-001).

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