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1
Wearable-device-measured physical activity and future health risk.
Nat Med. 2020 Sep;26(9):1385-1391. doi: 10.1038/s41591-020-1012-3. Epub 2020 Aug 17.
2
Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study).
Int J Behav Nutr Phys Act. 2019 Dec 9;16(1):126. doi: 10.1186/s12966-019-0882-6.
4
Physical activity volume, intensity, and incident cardiovascular disease.
Eur Heart J. 2022 Dec 7;43(46):4789-4800. doi: 10.1093/eurheartj/ehac613.
5
Estimation of Physical Activity Energy Expenditure during Free-Living from Wrist Accelerometry in UK Adults.
PLoS One. 2016 Dec 9;11(12):e0167472. doi: 10.1371/journal.pone.0167472. eCollection 2016.
7
Physical Activity Assessment with the ActiGraph GT3X and Doubly Labeled Water.
Med Sci Sports Exerc. 2017 Sep;49(9):1935-1944. doi: 10.1249/MSS.0000000000001299.
8
Predicting ambulatory energy expenditure in lower limb amputees using multi-sensor methods.
PLoS One. 2019 Jan 31;14(1):e0209249. doi: 10.1371/journal.pone.0209249. eCollection 2019.
9
Joint associations between objectively measured physical activity volume and intensity with body fatness: the Fenland study.
Int J Obes (Lond). 2022 Jan;46(1):169-177. doi: 10.1038/s41366-021-00970-8. Epub 2021 Sep 30.
10
Device-measured physical activity and type 2 diabetes mellitus risk.
Front Endocrinol (Lausanne). 2023 Dec 18;14:1275182. doi: 10.3389/fendo.2023.1275182. eCollection 2023.

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3
Measuring resting heart rate during daily life using wearable technology: Examining the impact of behavioral context and methodological criteria.
Digit Health. 2025 Aug 14;11:20552076251367506. doi: 10.1177/20552076251367506. eCollection 2025 Jan-Dec.
5
AI-Driven Wearable Bioelectronics in Digital Healthcare.
Biosensors (Basel). 2025 Jun 26;15(7):410. doi: 10.3390/bios15070410.
7
Uncovering the Molecular Landscape of Physical Activity: Proteomic Insights from the UK Biobank.
medRxiv. 2025 Jun 28:2025.06.27.25330418. doi: 10.1101/2025.06.27.25330418.
8
Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring.
NPJ Cardiovasc Health. 2025;2(1):34. doi: 10.1038/s44325-025-00071-9. Epub 2025 Jul 2.
9
Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management.
Front Endocrinol (Lausanne). 2025 May 26;16:1571362. doi: 10.3389/fendo.2025.1571362. eCollection 2025.

本文引用的文献

2
Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study).
Int J Behav Nutr Phys Act. 2019 Dec 9;16(1):126. doi: 10.1186/s12966-019-0882-6.
6
Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study.
Int J Obes (Lond). 2019 Nov;43(11):2333-2342. doi: 10.1038/s41366-019-0352-x. Epub 2019 Apr 2.
7
Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies.
Med Sci Sports Exerc. 2019 Aug;51(8):1767-1780. doi: 10.1249/MSS.0000000000001966.
9
Associations of Fitness, Physical Activity, Strength, and Genetic Risk With Cardiovascular Disease: Longitudinal Analyses in the UK Biobank Study.
Circulation. 2018 Jun 12;137(24):2583-2591. doi: 10.1161/CIRCULATIONAHA.117.032432. Epub 2018 Apr 9.
10
Volume of Light Versus Moderate-to-Vigorous Physical Activity: Similar Benefits for All-Cause Mortality?
J Am Heart Assoc. 2018 Apr 2;7(7):e008815. doi: 10.1161/JAHA.118.008815.

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