Smartwatches and measurement of physical activity, sedentary behavior, and sleep: a scoping review
DOI:
https://doi.org/10.12820/rbafs.29e0367Palabras clave:
Fitness trackers, Wearable electronic devices, Physical activity, Sedentary behavior, SleepResumen
Introduction: The use of accelerometers to measure physical activity (PA), sedentary behavior (SB), and sleep has significantly impacted public health, though limitations such as storage capacity and cost persist. Smartwatches have emerged as promising alternatives, providing objective measurements and real-time data extraction. Despite their growing popularity, there is still a lack of comprehensive information on smartwatch models, sensors, and data transfer methods. Objective: To map the technical characteristics related to sensors, metrics and type of data transfer of different models of smartwatches capable of measuring PA, SB and sleep. Methods: The review utilized the Joanna Briggs Institute guidelines and included 143 smartwatch models from 12 manufacturers. Results: All models measured PA, step counts, and daily calories, while the SB metric was present in 35.5% of the smartwatches, sleep duration in 93.1%, and 35.5% of smartwatches measured PA, SB and sleep simultaneously. The most common smartwatches sensors were photoplethysmography, geolocation and gyroscope. All models were found to have Bluetooth connectivity, with 55% of the models featuring Wi-Fi connectivity, and only 11.3% of smartwatches having a mobile network. Conclusion: This scoping review can guide studies, interventions, and healthcare professionals, as well as assist end-users to select an appropriate smartwatch for measure PA, SB, and sleep.
Scoping review registration: https://osf.io/3s9x5
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Ekelund U, Tarp J, Steene-Johannessen J, Hansen BH, Jefferis B, Fagerland MW, et al. Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis. BMJ. 2019;366:l4570. DOI: https://doi.org/10.1136/bmj.l4570
Buysse DJ. Sleep health: can we define it? Does it matter? Sleep. 2014;37(1):9-17.3. Rollo S, Antsygina O, Tremblay MS. The whole day matters: Understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan. J Sport Health Sci. 2020;9(6):493-510. DOI: https://doi.org/10.1016/j.jshs.2020.07.004
Rosenberger ME, Fulton JE, Buman MP, Troiano RP, Grandner MA, Buchner DM, et al. The 24-Hour Activity Cycle: A New Paradigm for Physical Activity. Med Sci Sports Exerc. 2019;51(3):454-64. DOI: https://doi.org/10.1249/MSS.0000000000001811
Sasaki J, Silva K, Gonçalves Galdino da Costa B. Uso de acelerômetros para mensurar atividade física e comportamento sedentário: o que precisamos saber? Londrina: Midiograf, 2018.
Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81-95. DOI: https://doi.org/10.1007/s12160-013-9486-6
Arriba-Pérez D, Caeiro-Rodríguez M, Santos-Gago JM. Collection and processing of data from wrist wearable devices in heterogeneous and multiple-user scenarios. Sensors. 2016;16(9):1538. DOI: https://doi.org/10.3390/s16091538
Ferreira JJ, Fernandes CI, Rammal HG, Veiga PM. Wearable technology and consumer interaction: A systematic review and research agenda. Comput Hum Behav. 2021:106710. DOI: https://doi.org/10.1016/j.chb.2021.106710
Richardson S, Mackinnon D. Left to their own devices? Privacy implications of wearable technology in Canadian workplaces. 2017.
Henriksen A, Mikalsen MH, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, et al. Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables. J. Med. Internet Res. 2018;20(3):e9157. DOI: https://doi.org/10.2196/jmir.9157
Low CA, Danko M, Durica KC, Kunta AR, Mulukutla R, Ren Y, et al. A real-time mobile intervention to reduce sedentary behavior before and after cancer surgery: usability and feasibility study. JMIR Perioper Med. 2020;3(1):e17292. DOI: https://doi.org/10.2196/17292
IDC. Wearable Devices Market Share. 2023; Available from: <https://www.idc.com/promo/wearablevendor> [2023 june].
Statista. Global wearable device shipments from 2021 to 2028, by product category (in millions). 2024; Available from: <https://www.statista.com/statistics/1265326/wearables-worldwide-shipments-quarterly-by-product-category/> [2024 october].
Statista. Activity tracking is the most-wanted smartwatch feature. 2014; Available from: <https://www.statista.com/chart/2682/most-wanted-smartwatch-features/> [2024 January].
Peters MD, Godfrey C, McInerney P, Munn Z, Tricco AC, Khalil H. Chapter 11: scoping reviews (2020 version). JBI Manual for Evidence Synthesis. 2020. DOI: https://doi.org/10.46658/JBIRM-20-01
Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann. Intern. Med. 2018;169(7):467-73. DOI: https://doi.org/10.7326/M18-0850
Counterpoint. Smartwatch Market Grows 24% YoY in 2021, Records Highest Ever Quarterly Shipments in Q4. 2022; Available from: <https://www.counterpointresearch.com/insights/global-smartwatch-market-2021/#:~:text=Top-,Smartwatch%20Market%20Grows%2024%25%20YoY%20in%202021%2C%20Records%20Highest,Ever%20Quarterly%20Shipments%20in%20Q4&text=The%20market%20grew%20a%20healthy,Apple%20remained%20the%20undisputed%20leader> [2024 January].
Statista. Market share of smartwatch unit shipments worldwide from the 2nd quarter 2014 to 2nd quarter 2021, by vendor. 2022; Available from: <https://www.statista.com/statistics/524830/global-smartwatch-vendors-market-share/> [2024 june].
Falck RS, Davis JC, Khan KM, Handy TC, Liu-Ambrose T. A Wrinkle in Measuring Time Use for Cognitive Health: How should We Measure Physical Activity, Sedentary Behaviour and Sleep? Am J Lifestyle Med. 2021:15598276211031495. DOI: https://doi.org/10.1177/15598276211031495
Reeder B, David A. Health at hand: A systematic review of smart watch uses for health and wellness. J Biomed Inform. 2016;63:269-76. DOI: https://doi.org/10.1016/j.jbi.2016.09.001
COUNTERPOINT. Smartwatch market share by brand. 2022; Available from: <https://www.counterpointresearch.com/infographic-smartwatch-market-q1-2022/> [2024 January].
Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nyström C, Mora-Gonzalez J, Löf M, et al. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47:1821-45. DOI: https://doi.org/10.1007/s40279-017-0716-0
Sarhaddi F, Kazemi K, Azimi I, Cao R, Niela-Vilén H, Axelin A, et al. A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability. PloS One. 2022;17(12):e0268361. DOI: https://doi.org/10.1371/journal.pone.0268361
System GP. Official U.S. government information about the Global Positioning System (GPS) and related topics. 2013.
Jankowska MM, Schipperijn J, Kerr J. A framework for using GPS data in physical activity and sedentary behavior studies. Exerc Sport Sci Rev. 2015;43(1):48. DOI: https://doi.org/10.1249/JES.0000000000000035
Maddison R, Ni Mhurchu C. Global positioning system: a new opportunity in physical activity measurement. Int J Behav Nutr Phys Act. 2009;6:73. DOI: https://doi.org/10.1186/1479-5868-6-73
Huang EJ, Onnela J-P. Augmented movelet method for activity classification using smartphone gyroscope and accelerometer data. Sensors. 2020;20(13):3706. DOI: https://doi.org/10.3390/s20133706
Wagenaar RC, Sapir I, Zhang Y, Markovic S, Vaina LM, Little TD. Continuous monitoring of functional activities using wearable, wireless gyroscope and accelerometer technology. 2011 Annual Intl Conf of the IEEE Engineering in Medicine and Biology Society. 2011:4844-7. DOI: https://doi.org/10.1109/IEMBS.2011.6091200
APPLE. Complete o círculo. 2020; Available from: <https://www.apple.com/br/watch/close-your-rings/> [2024 January].
AMAZFIT. Amazfit GTR 3 Pro Limited Edition User Manual (English Edition) 2018; Available from: <https://amazfit-support.cdn.bcebos.com/uploads/doc/20220623/165596723598.pdf> [2024 January].
FITBIT. Sense User Manual. 2020; Available from: <https://help.fitbit.com/manuals/manual_sense_en_US.pdf> [2024 october].
Fuller D, Anaraki JR, Simango B, Rayner M, Dorani F, Bozorgi A, et al. Predicting lying, sitting, walking and running using Apple Watch and Fitbit data. BMJ Open Sport Exerc Med. 2021;7(1). DOI: https://doi.org/10.1136/bmjsem-2020-001004
Creaser AV, Clemes SA, Costa S, Hall J, Ridgers ND, Barber SE, et al. The acceptability, feasibility, and effectiveness of wearable activity trackers for increasing physical activity in children and adolescents: a systematic review. Int J Environ Res Public Health. 2021;18(12):6211. DOI: https://doi.org/10.3390/ijerph18126211
Koster A, Caserotti P, Patel KV, Matthews CE, Berrigan D, Van Domelen DR, et al. Association of sedentary time with mortality independent of moderate to vigorous physical activity. PloS One. 2012;7(6):e37696. DOI: https://doi.org/10.1371/journal.pone.0037696

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Derechos de autor 2024 José Francisco da Silva, Antonio Henrique Germano-Soares, Luis Carlos Barbosa Silva, Valter Cordeiro Barbosa Filho, Tuillamys Virgínio de Oliveira, Thiago Coelho de Aguiar Silva, Rafael Miranda Tassitano

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