Smartwatches e medidas de atividade física, comportamento sedentário e sono: uma revisão de escopo
DOI:
https://doi.org/10.12820/rbafs.29e0367Palavras-chave:
Monitores de atividade física, Dispositivos eletrônicos vestíveis, Atividade física, Comportamento sedentário, SonoResumo
Introdução: O uso de acelerômetros para medir atividade física (AF), comportamento sedentário (CS) e sono impactou significativamente a saúde pública, embora limitações como capacidade de armazenamento e custo persistam. Smartwatches emergiram como alternativas promissoras, fornecendo medições objetivas e extração de dados em tempo real. Apesar de sua crescente popularidade, ainda há uma falta de informações abrangentes sobre os modelos de smartwatches, sensores e métodos de transferência de dados. Objetivo: Mapear as características técnicas relacionadas aos sensores, métricas e tipo de transferência de dados de diferentes modelos de smartwatches capazes de medir AF, CS e sono. Métodos: Esta revisão utilizou as diretrizes do Instituto Joanna Briggs e incluiu 143 modelos de smartwatches de 12 fabricantes. Resultados: Todos os modelos mediram AF, contagem de passos e calorias diárias, enquanto a métrica de CS estava presente em 35,5% dos smartwatches, a duração do sono em 93,1%, e 35,5% dos smartwatches mediram AF, CS e sono simultaneamente. Os sensores mais comuns nos smartwatches foram fotopletismografia, geolocalização e giroscópio. Todos os modelos foram encontrados com conectividade Bluetooth, 55% dos modelos apresentaram conectividade Wi-Fi e apenas 11,3% dos smartwatches tinham uma rede móvel. Conclusão: Esta revisão de escopo pode guiar estudos, intervenções e profissionais de saúde, além de ajudar os usuários finais a selecionarem um smartwatch apropriado para medir AF, CS e sono.
Registro da revisão de escopo: https://osf.io/3s9x5
Downloads
Referências
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
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 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
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Ao submeter um manuscrito à Revista Brasileira de Atividade Física & Saúde, os autores mantêm a titularidade dos direitos autorais sobre o artigo, e autorizam a Revista Brasileira de Atividade Física & Saúde a publicar esse manuscrito sob a Licença Creative Commons Atribuição 4.0 e identificá-la como veículo de sua publicação original.
