TY - JOUR
T1 - Associations Between Device-Measured Physical Activity and Glycemic Control and Variability Indices Under Free-Living Conditions
AU - El Fatouhi, Douae
AU - Héritier, Harris
AU - Allémann, Chloé
AU - Malisoux, Laurent
AU - Laouali, Nasser
AU - Riveline, Jean Pierre
AU - Salathé, Marcel
AU - Fagherazzi, Guy
N1 - This work was presented at the international virtual conference ICAMPAM, which was held from June 22 to 24, 2021.
Funding Information
D.E. is supported by a doctoral grant from the French National Cancer Institute (INCa_13563). This present work was also supported by the French Research Agency (ANR, Agence Nationale de la Recherche) via an “Investissement d'Avenir” grant (investment for the future grant, ANR-10- COHO-0006) that supports the E4N study. G.F. is supported by the Luxembourg Institute of Health. The FAY project is funded by a grant of the Kristian Gerhard Jebsen Foundation to the EPFL Digital Epidemiology Lab. Study funders and sponsors had no role in the design of the study, analysis or interpretation of data, writing of the article, or decision to submit the article for publication.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - Background: Disturbances of glycemic control and large glycemic variability have been associated with increased risk of type 2 diabetes in the general population as well as complications in people with diabetes. Long-term health benefits of physical activity are well documented but less is known about the timing of potential short-term effects on glycemic control and variability in free-living conditions. Materials and Methods: We analyzed data from 85 participants without diabetes from the Food & You digital cohort. During a 2-week follow-up, device-based daily step count was studied in relationship to glycemic control and variability indices using generalized estimating equations. Glycemic indices, evaluated using flash glucose monitoring devices (FreeStyle Libre), included minimum, maximum, mean, standard deviation, and coefficient of variation of daily glucose values, the glucose management indicator, and the approximate area under the sensor glucose curve. Results: We observed that every 1000 steps/day increase in daily step count was associated with a 0.3588 mg/dL (95% confidence interval [CI]: -0.6931 to -0.0245), a 0.0917 mg/dL (95% CI: -0.1793 to -0.0042), and a 0.0022% (95% CI: -0.0043 to -0.0001) decrease in the maximum glucose values, mean glucose, and in the glucose management indicator of the following day, respectively. We did not find any association between daily step count and glycemic indices from the same day. Conclusions: Increasing physical activity level was linked to blunted glycemic excursions during the next day. Because health-related benefits of physical activity can be long to observe, such short-term physiological benefits could serve as personalized feedback to motivate individuals to engage in healthy behaviors.
AB - Background: Disturbances of glycemic control and large glycemic variability have been associated with increased risk of type 2 diabetes in the general population as well as complications in people with diabetes. Long-term health benefits of physical activity are well documented but less is known about the timing of potential short-term effects on glycemic control and variability in free-living conditions. Materials and Methods: We analyzed data from 85 participants without diabetes from the Food & You digital cohort. During a 2-week follow-up, device-based daily step count was studied in relationship to glycemic control and variability indices using generalized estimating equations. Glycemic indices, evaluated using flash glucose monitoring devices (FreeStyle Libre), included minimum, maximum, mean, standard deviation, and coefficient of variation of daily glucose values, the glucose management indicator, and the approximate area under the sensor glucose curve. Results: We observed that every 1000 steps/day increase in daily step count was associated with a 0.3588 mg/dL (95% confidence interval [CI]: -0.6931 to -0.0245), a 0.0917 mg/dL (95% CI: -0.1793 to -0.0042), and a 0.0022% (95% CI: -0.0043 to -0.0001) decrease in the maximum glucose values, mean glucose, and in the glucose management indicator of the following day, respectively. We did not find any association between daily step count and glycemic indices from the same day. Conclusions: Increasing physical activity level was linked to blunted glycemic excursions during the next day. Because health-related benefits of physical activity can be long to observe, such short-term physiological benefits could serve as personalized feedback to motivate individuals to engage in healthy behaviors.
KW - Continuous glucose monitoring
KW - Physical activity
KW - Step count
KW - Wearable activity trackers
KW - Free-living
KW - Digital health
UR - http://www.scopus.com/inward/record.url?scp=85126490976&partnerID=8YFLogxK
UR - https://www.ncbi.nlm.nih.gov/pubmed/34648353
U2 - 10.1089/dia.2021.0294
DO - 10.1089/dia.2021.0294
M3 - Article
C2 - 34648353
SN - 1520-9156
VL - 24
SP - 167
EP - 177
JO - Diabetes Technology and Therapeutics
JF - Diabetes Technology and Therapeutics
IS - 3
T2 - International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), virtual conference
Y2 - 22 June 2021 through 24 June 2021
ER -