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Abstract

Association between Physical Activity Energy Expenditure and Continuous Glucose Monitor-Derived Metrics: Data from the ZOE PREDICT 1 Study †

1
ZOE Ltd., London SE1 7RW, UK
2
Department of Nutritional Sciences, Kings College London, London SE1 9NH, UK
3
Centre for Nutrition, Exercise and Metabolism, University of Bath, Bath BA2 7AY, UK
4
Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK
*
Author to whom correspondence should be addressed.
Presented at the 14th European Nutrition Conference FENS 2023, Belgrade, Serbia, 14–17 November 2023.
Proceedings 2023, 91(1), 106; https://doi.org/10.3390/proceedings2023091106
Published: 7 December 2023
(This article belongs to the Proceedings of The 14th European Nutrition Conference FENS 2023)
Background and objectives: Physical activity can improve glucose variability (GV) and time in range (TIR) in people with impaired glucose tolerance/diabetes [1,2]. However, the effects of physical activity on these parameters in people within normo-glycaemic ranges are unclear. This study explores the associations between physical activity, GV, and TIR in normo-glycaemic individuals from the ZOE PREDICT 1 cohort. Methods: Free-living continuous interstitial glucose (using continuous glucose monitoring) and activity energy expenditure (AEE; mean of 14 days using a wrist-based accelerometer [ENMO]) were collected in the ZOE PREDICT 1 study (n = 1002). TIR was calculated using (1) the American Diabetes Association criteria (TIR 3.9–7.8 mmol∙L−1) and (2) a novel ‘stringent’ range (TIR 3.9–5.6 mmol∙L−1) [3]. The relationship between AEE and glycaemic outcomes (GV and TIR) was assessed using partial correlations (adjusted for age, sex, and BMI). Results: Data from 698 participants (186 M/512 F) were analysed (mean ± SD; age: 45 ± 12 y; body mass index (BMI): 25.4 ± 4.8 kg∙m−2; and estimated basal metabolic rate (BMR; Harris–Benedict equation): 1456 ± 225 kcal∙d−1). The mean fasting glucose concentration was 4.93 ± 0.42 mmol∙L−1 (range: 3.58–6.07 mmol∙L−1), and the mean daily glucose concentration was 5.02 ± 0.54 mmol∙L−1 (range: 3.43–7.19 mmol∙L−1). The median GV was 16.1% (IQR: 13.1–18.5%), and the median proportion of time spent in TIR 3.9–5.6 was 72.4% (IQR: 62.0–80.7%) compared to 95.3% (IQR: 87.7–99.0%) in TIR ADA. AEE was inversely associated with TIR 3.9–5.6 (r = −0.09 p = 0.02), but not with TIR ADA (r = 0.03 p = 0.43), and positively associated with daily mean glucose concentration (r = 0.13, p < 0.001). Discussion: The data presented in this study suggest that, in normo-glycaemic individuals, higher activity energy expenditure is associated with a lower proportion of time spent within a novel ‘stringent’ range of interstitial glucose concentrations. However, the causality of this relationship is unclear, and future research should establish whether a higher physical activity level drives a higher glucose level, or vice versa.

Author Contributions

Study conceptualization and Methodology: H.A.S., K.M.B., A.M., J.T.G., S.E.B., T.D.S., J.W. Data Curation: S.E.B., J.W., T.D.S. Formal analysis, Validation and Visualisation: H.A.S., K.M.B.; Funding Acquisition: J.W., T.D.S. Study Investigation: S.E.B., J.W., T.D.S. Writing – Original Draft Preparation: H.A.S., K.M.B., A.M., J.T.G., S.E.B. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by ZOE Ltd. and TwinsUK which is funded by the Wellcome Trust, Medical Research Council, Versus Arthritis, European Union Horizon 2020, Chronic Disease Research Foundation (CDRF), ZOE Ltd. and the National Institute for Health Research (NIHR) Clinical Research Network (CRN) and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the London-Hampstead Research Ethics Committee (approval no. 18/LO/0663) and Integrated Research Application System (no. 236407) for studies involving humans.

Informed Consent Statement

Informed consent was obtained from all participants involved in the study.

Data Availability Statement

The data used for analysis in this study are held by the Department of Twin Research at King’s College London and access can be requested from https://twinsuk.ac.uk/resources-for-researchers/access-our-data/ (accessed on 10 November 2023) to allow for anonymisation and compliance with GDPR standards.

Conflicts of Interest

T.D.S. and J.W. are co-founders of Zoe Ltd. T.D.S. and S.E.B. are consultants to Zoe Ltd. K.M.B, H.A.S. are or have been employees of Zoe Ltd. H.A.S., A.M., J.W., T.D.S. and S.E.B. also receive options in ZOE Ltd. Other authors have no other conflicts of interest to declare.

References

  1. Schubert-Olesen, O.; Kröger, J.; Siegmund, T.; Thurm, U.; Halle, M. Continuous Glucose Monitoring and Physical Activity. Int. J. Environ. Res. Public Health 2022, 19, 12296. [Google Scholar] [CrossRef] [PubMed]
  2. Zhu, X.; Zhao, L.; Chen, J.; Lin, C.; Lv, F.; Hu, S.; Cai, X.; Zhang, L.; Ji, L. The Effect of Physical Activity on Glycemic Variability in Patients with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Front. Endocrinol. 2021, 12, 767152. [Google Scholar] [CrossRef] [PubMed]
  3. Bermingham, K.; Valdes, A.; Franks, P.; Wolf, J.; Spector, T.; Berry, S. Measures of optimal glucose “time in range” and variability using continuous glucose monitors in 4,805 healthy non-diabetic individuals is discriminatory of cardiovascular health risk. Proc. Nutr. Soc. 2022, 81, E8. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Smith, H.A.; Bermingham, K.M.; May, A.; Wolf, J.; Gonzalez, J.T.; Spector, T.D.; Berry, S.E. Association between Physical Activity Energy Expenditure and Continuous Glucose Monitor-Derived Metrics: Data from the ZOE PREDICT 1 Study. Proceedings 2023, 91, 106. https://doi.org/10.3390/proceedings2023091106

AMA Style

Smith HA, Bermingham KM, May A, Wolf J, Gonzalez JT, Spector TD, Berry SE. Association between Physical Activity Energy Expenditure and Continuous Glucose Monitor-Derived Metrics: Data from the ZOE PREDICT 1 Study. Proceedings. 2023; 91(1):106. https://doi.org/10.3390/proceedings2023091106

Chicago/Turabian Style

Smith, Harry A., Kate M. Bermingham, Anna May, Jonathan Wolf, Javier T. Gonzalez, Tim D. Spector, and Sarah E. Berry. 2023. "Association between Physical Activity Energy Expenditure and Continuous Glucose Monitor-Derived Metrics: Data from the ZOE PREDICT 1 Study" Proceedings 91, no. 1: 106. https://doi.org/10.3390/proceedings2023091106

APA Style

Smith, H. A., Bermingham, K. M., May, A., Wolf, J., Gonzalez, J. T., Spector, T. D., & Berry, S. E. (2023). Association between Physical Activity Energy Expenditure and Continuous Glucose Monitor-Derived Metrics: Data from the ZOE PREDICT 1 Study. Proceedings, 91(1), 106. https://doi.org/10.3390/proceedings2023091106

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