Variation in Hypoglycemia Risk During Real-World Physical Activity in Adults with Type 1 Diabetes: Insights from the Type 1 Diabetes Exercise Initiative

<b><i>Background:</i></b> Physical activity (PA) poses significant challenges in glucose management for individuals with type 1 diabetes (T1D). Real-world PA is more frequent than structured PA, but remains underexplored. We analyzed 8171 real-world PA sessions comprising 45 activity types from the Type 1 Diabetes Exercise Initiative, examining hypoglycemia risk correlations with PA-level and population-level factors. <b><i>Methods:</i></b> Hypoglycemia risk was measured by change in continuous glucose monitoring (ΔCGM) from PA onset to end, low blood glucose index (LBGI), and hypoglycemia event occurrence. Primary analyses used analysis of variance and Tukey's range test to measure correlations. Secondary analyses compared risk across activity types and categories (aerobic, mixed, and anaerobic). <b><i>Results:</i></b> Higher hypoglycemia risk was associated with longer PA duration (median [Interquartile Range (IQR)] ΔCGM -24 [-60, 11] mg/dL for 60-120 min vs. -12 [-31, 5] mg/dL for 15-30 min), lower starting glucose (90% of sessions starting <50 mg/dL had hypoglycemia), and declining glucose rates before PA (all <i>P</i> < 0.05). Carbohydrate (CHO) intake 2-4 h before and during PA was associated with higher hypoglycemia risk (ΔCGM -37 [-67, -14] mg/dL with rescue CHO vs. -15 [-42, 8] mg/dL without, <i>P</i> < 0.05), but this paradoxical effect was explained by higher insulin on board (IoB) and lower starting glucose. Males had larger glucose drops (ΔCGM -20 [-46, 4] mg/dL vs. -16 [-44, 7] mg/dL in females, <i>P</i> < 0.05). Closed-loop users exhibited lower LBGI compared with open-loop users (<i>P</i> < 0.05). Secondary analyses showed significant glycemic variability across activity types (<i>P</i> < 0.05). Aerobic activities caused the greatest glucose drop, followed by mixed and anaerobic (<i>P</i> < 0.05), whereas LBGI differences were nonsignificant (<i>P</i> = 0.32). <b><i>Conclusions:</i></b> Real-world PA has a highly variable glycemic impact, with longer duration, lower starting glucose, and higher IoB increasing hypoglycemia risk. Glycemic responses differed significantly by activity type, with aerobic activities resulting in the greatest decline. These findings highlight the need for tailored strategies to mitigate PA-related hypoglycemia in T1D.

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Journal
Diabetes Technology & Therapeutics
Published
2025-12-03
DOI
https://doi.org/10.1177/15209156251400209
Primary Topic
Diabetes Management and Research
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article
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article

Variation in Hypoglycemia Risk During Real-World Physical Activity in Adults with Type 1 Diabetes: Insights from the Type 1 Diabetes Exercise Initiative

Kelly Watson, Ryan Kingman, Rayhan Lal, Lauren E. Figg et al.
Diabetes Technology & Therapeutics
Diabetes Management and Research
article

Variation in Hypoglycemia Risk During Real-World Physical Activity in Adults with Type 1 Diabetes: Insights from the Type 1 Diabetes Exercise Initiative

Kelly Watson, Ryan Kingman, Rayhan Lal, Lauren E. Figg, Martin J. Connolly, Brandon Arbiter, ILENIA BALISTRERI, Eleonora M. Aiello, Dessi P. Zaharieva, Ana L. Cortes, Michael Charles Riddell, Bailey Suh, Yao Qin, Cheyenne S Summers, Kenan Tang, MEHAK P. DHALIWAL
article en

Abstract

<b><i>Background:</i></b> Physical activity (PA) poses significant challenges in glucose management for individuals with type 1 diabetes (T1D). Real-world PA is more frequent than structured PA, but remains underexplored. We analyzed 8171 real-world PA sessions comprising 45 activity types from the Type 1 Diabetes Exercise Initiative, examining hypoglycemia risk correlations with PA-level and population-level factors. <b><i>Methods:</i></b> Hypoglycemia risk was measured by change in continuous glucose monitoring (ΔCGM) from PA onset to end, low blood glucose index (LBGI), and hypoglycemia event occurrence. Primary analyses used analysis of variance and Tukey's range test to measure correlations. Secondary analyses compared risk across activity types and categories (aerobic, mixed, and anaerobic). <b><i>Results:</i></b> Higher hypoglycemia risk was associated with longer PA duration (median [Interquartile Range (IQR)] ΔCGM -24 [-60, 11] mg/dL for 60-120 min vs. -12 [-31, 5] mg/dL for 15-30 min), lower starting glucose (90% of sessions starting <50 mg/dL had hypoglycemia), and declining glucose rates before PA (all <i>P</i> < 0.05). Carbohydrate (CHO) intake 2-4 h before and during PA was associated with higher hypoglycemia risk (ΔCGM -37 [-67, -14] mg/dL with rescue CHO vs. -15 [-42, 8] mg/dL without, <i>P</i> < 0.05), but this paradoxical effect was explained by higher insulin on board (IoB) and lower starting glucose. Males had larger glucose drops (ΔCGM -20 [-46, 4] mg/dL vs. -16 [-44, 7] mg/dL in females, <i>P</i> < 0.05). Closed-loop users exhibited lower LBGI compared with open-loop users (<i>P</i> < 0.05). Secondary analyses showed significant glycemic variability across activity types (<i>P</i> < 0.05). Aerobic activities caused the greatest glucose drop, followed by mixed and anaerobic (<i>P</i> < 0.05), whereas LBGI differences were nonsignificant (<i>P</i> = 0.32). <b><i>Conclusions:</i></b> Real-world PA has a highly variable glycemic impact, with longer duration, lower starting glucose, and higher IoB increasing hypoglycemia risk. Glycemic responses differed significantly by activity type, with aerobic activities resulting in the greatest decline. These findings highlight the need for tailored strategies to mitigate PA-related hypoglycemia in T1D.

Diabetes Technology & Therapeutics
University of California, Santa Barbara (US), Stanford University (US)
Openalex Percentile: Top 49%
Diabetes Management and Research
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