Validity and reproducibility of mobile devices and applications to evaluate and monitor adult cardiorespiratory fitness: a systematic review

Authors

DOI:

https://doi.org/10.36453/cefe.2022.27552

Keywords:

Cardiorespiratory Fitness, Mobile Device, Electronic Devices, Applications

Abstract

BACKGROUND: Traditionally, the assessment and monitoring of cardiorespiratory fitness is carried out indirectly, with few technological resources. Since the emergence and popularization of mobile electronic devices, this monitoring has also been carried out through these new resources. However, few portable devices are rigorously tested to identify their validity.
OBJECTIVE: To develop a systematic review of the literature, seeking to identify the studies that carried out the validation and reproducibility of mobile devices and applications to assess and monitor cardiorespiratory fitness in adults.
METHODS: Study of systematic literature review according to the methodological recommendations of The Cochrane Collaboration. The terms cardiorespiratory fitness, mobile devices, electronic device and adults were used to compose search syntaxes in the Web of Science, Scopus, LILACS – English; LILACS - Portuguese, SciELO, SciELO – Brazil and PubMed / MEDLINE databases, in languages portuguese, english and spanish. The temporal range of searches comprised the period from January 2015 to December 2019.
RESULTS: A total of 3,396 studies were found from the initial searches. After applying the filters, 488 papers were selected for the reading of titles, of which 43 were included in the stage of reading abstracts. Nineteen studies were considered eligible for the full reading phase, of which, 09 were included in the present review. Regarding the validity of applications and devices, seven studies show satisfactory results regarding equipment data, indicating a high correlation between the results of the evaluated equipment and the comparative method, good accuracy of the equipment or validity of the generated data. On the other hand, two studies suggested prudence in the use of the equipment.
CONCLUSION: The present review identified that there are few studies developed for the validation of mobile devices and applications aimed at monitoring cardiorespiratory fitness. Smartphone apps and smart clothes seem to be the most trusted resources to date.

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Author Biography

Diogo Bertella Foschiera, Instituto Federal do Paraná (IFPR), Curitiba

Graduado em Educação Física pelo Instituto Federal do Paraná (2013). Especialista em Docência no Ensino Superior pela Faculdade de Educação São Luiz (2017). Mestre em Educação Física (Ciências do Movimento Humano) pela Universidade Tecnológica Federal do Paraná - UTFPR (2021). Docente do Curso de Educação Física do Instituto Federal do Paraná/IFPR - Campus Palmas. Membro do Grupo de Pesquisa em Atividade Física, Esporte e Tecnologia (GEPAFETec) e do Grupo de Estudos relacionados sobre comportamentos ativos e saudáveis - CAS. Experiência na área de Educação Física, com ênfase em formação de docentes, atuando principalmente nos seguintes temas: Psicologia do Esporte, Esporte e Exercício Físico.

References

ARAÚJO, C. G. S.; CASTRO, C. L.; FRANCA, J. F.; SILVA, C. G. de S. CLINIMEX Aerobic Fitness Questionnaire: proposal and validation. International Journal of Cardiovascular Sciences, Rio de Janeiro, v. 32, n. 4, p. 331-42, 2019. DOI: <https://doi.org/10.5935/2359-4802.20190064 >.

BALBANI, A. P. S. Impacto do uso do telefone celular na saúde de crianças e adolescentes. Revista Paulista de Pediatria, São Paulo, v. 29, n. 3, p. 430-6, 2011. DOI: <https://doi.org/10.1590/S0103-05822011000300019>.

BARRA, D. C. C.; PAIM, S. M. S.; DAL SASSO, G. T. M.; COLLA, G. W. Métodos para desenvolvimento de aplicativos móveis em saúde: revisão integrativa da literatura. Texto e Contexto Enfermagem, Florianópolis, v. 26, n. 4, p. 1-12, 2017. DOI: <https://doi.org/10.1590/0104-07072017002260017>.

BELTRAME, T.; AMELARD, R.; WONG, A.; HUGHSON, R L. Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living. Scientific Reports, London, v. 7, p. 1-8, 2017. DOI: <https://doi.org/10.1038/srep45738>.

BORT-ROIG, J.; GILSON, N. D.; PUIG-RIBERA, A.; CONTRERAS, R. S.; TROST, S. G. Measuring and Influencing physical activity with smartphone technology: A systematic review. Sports Medicine, London, v. 44, n. 5, p. 671-86, 2014. DOI: <https://doi.org/10.1007/s40279-014-0142-5>.

BOTTCHER, L. B. Atividade física como ação para promoção da saúde. Revista Eletrônica Gestão & Saúde, Brasília, p. 98-111, 2019. DOI: <https://doi.org/10.26512/gs.v0i0.23324>.

CHALMERS, I. The Cochrane Collaboration: Preparing, maintaining and promoting the accessibility of systematic reviews of the effects of health care interventions. The Cochrane Collaboration. Library, 2012. DOI: <https://doi.org/10.1111/j.1749-6632.1993.tb26345.x>.

COLLINS, T.; WOOLLEY, S. I.; ONIANI, S.; PIRES, I. M.; GARCIA, N. M.; LEDGER, S. J.; PANDYAN, A. Version reporting and assessment approaches for new and updated activity and heart rate monitors. Sensors, Basel, v. 19, n. 7, p. 1-13, 2019. DOI: <https://doi.org/10.3390/s19071705>.

DÜKING, P.; HOTHO, A.; HOLMBERG, H. C.; FUSS, F. K.; SPERLICH, B. Comparison of non-invasive individual monitoring of the training and health of athletes with commercially available wearable technologies. Frontiers in Physiology, Lausanne, v. 7, n. 71, p. 1-11, 2016. DOI: <https://doi.org/10.3389/fphys.2016.00071>.

GANESAN, A. N.; LOUISE, J.; HORSFALL, M.; BILSBOROUGH, S. A.; HENDRIKS, J.; MCGAVIGAN, A. D.; … ; CHEW, D. P. International mobile-health intervention on physical activity, sitting, and weight: The Stepathlon Cardiovascular Health Study. Journal of the American College of Cardiology, Washington DC, v. 67, n. 21, p. 2453-63, 2016. DOI: <https://doi.org/10.1016/j.jacc.2016.03.472>.

GODINHO, A. S.; GONÇALVES, N. H.; AGUIAR, F, S.; SILVA JUNIOR, R. F. da.; BAUMAN, J. M.; BAUMAN, C. D. Principais fatores relacionados ao sobrepeso e obesidade infantil. Revista Eletrônica Nacional de Educação Física, Montes Claros, v. 9, n. 13, p. 27-40, 2019. DOI: <https://doi.org/10.35258/rn2019091300028>.

GUERRA, P. H.; FARIAS JÚNIOR, J. C. de; FLORINDO, A. A. Sedentary behavior in Brazilian children and adolescents: a systematic review. Revista de Saúde Pública, São Paulo, v. 50, n.9, p. 1-15, 2016. DOI: <https://doi.org/10.1590/S1518-8787.2016050006307>.

HALSON, S. L.; PEAKE, J. M.; SULLIVAN, J. P. Wearable technology for athletes: Information overload and pseudoscience? International Journal of Sports Physiology and Performance, Hanover, v. 11, n. 6, p. 705–706, 2016. DOI: <https://doi.org/10.1123/IJSPP.2016-0486>.

KANTOCH, E. Recognition of sedentary behavior by machine learning analysis of wearable sensors during activities of daily living for telemedical assessment of cardiovascular risk. Sensors, Basel, v. 18, n. 10, p. 2-17, 2018. DOI: <https://doi.org/10.3390/s18103219>.

LEE, R. G.; CHEN, C. Y.; HSIAO, C. C.; LIN, R. Heart rate monitoring systems in groups for reliability and validity assessment of cardiorespiratory fitness analysis. Biomedical Engineering: Applications, Basis and Communications, Singapura, v. 27, n. 6, p. 1-15, 2015. DOI: <https://doi.org/10.4015/S1016237215500556>.

LIMA, D. F. de; LEVY, R. B.; LUIZ, O. do C. Recomendações para atividade física e saúde: consensos, controvérsias e ambiguidades. Revista Panamericana de Salud Publica, Washington, v. 36, n. 3, p. 164-70, 2014. Disponível em: <https://www.scielosp.org/article/rpsp/2014.v36n3/164-170>.

MIDDELWEERD, A. VAN DER PLOEG, H. P.; VAN HALTEREN, A.; TWISK, J. W. R.; BRUG, J.; TE VELDE, S. J. A validation study of the fitbit one in daily life using different time intervals. Medicine and Science in Sports and Exercise, Indianapolis, v. 49, n. 6, p. 1270-9, 2017. DOI: <https://doi.org/10.1249/MSS.0000000000001225>.

OLIVEIRA, A. R. F. de; ALENCAR, M. S. M. de. O uso de aplicativos de saúde para dispositivos móveis como fontes de informação e educação em saúde. Revista Digital de Biblioteconomia e Ciência da Informação, Campinas, v. 15, n. 1, p. 234-45, 2017. DOI: <https://doi.org/10.20396/rdbci.v0i0.8648137>.

PEAKE, J. M.; KERR, G.; SULLIVAN, J. P. A critical review of consumer wearables, mobile applications, and equipment for providing biofeedback, monitoring stress, and sleep in physically active populations. Frontiers in Physiology, Lausanne v. 9, p. 1-19, 2018. DOI: <https://doi.org/10.3389/fphys.2018.00743>.

PRESSET, B.; LAURENCZY, B.; MALATESTA, D.; BARRAL, J. Accuracy of a smartphone pedometer application according to different speeds and mobile phone locations in a laboratory context. Journal of Exercise Science and Fitness, Hong Kong, v. 16, n. 2, p. 43-8, 2018. DOI: <https://doi.org/10.1016/j.jesf.2018.05.001>.

RAHSEPAR, A. A.; COLLINS, J. D.; KNIGHT, B. P.; HONG, K.; CARR, J. C.; KIM, D. Wideband LGE MRI permits unobstructed viewing of myocardial scarring in a patient with an MR-conditional subcutaneous implantable cardioverter-defibrillator. Clinical Imaging, New York, v. 50, p. 294-6, 2018. DOI: <https://doi.org/10.1016/j.clinimag.2018.05.005>.

RENSBURG, D. C. J. V.; GRANT, C. C.; RENSBURG, A. J. V.; BOTHA, R. P. G.; WOOD, P. S.; NOLTE, K.; … ; KRUGER, P. E. The fittrack index as fitness indicator: A pilot study. Health SA Gesondheid, Cape Town, v. 21, p. 431-6, 2016. DOI: <http://dx.doi.org/10.1016/j.hsag.2016.07.005>.

ROCHA, B. M. C.; GOLDBAUM, M.; CÉSAR, C. L. G.; STOPA, S. R. Sedentary behavior in the city of São Paulo, Brazil: ISA-Capital 2015. Revista Brasileira de Epidemiologia, Rio de Janeiro, v. 22, p. 1-15, 2019. DOI: <https://doi.org/10.1590/1980-549720190050>.

SAWKA, M. N.; FRIEDL, K. E. Emerging wearable physiological monitoring technologies and decision AIDS for health and performance. Journal of Applied Physiology, Rockville, v. 124, n. 2, p. 430-1, 2018. DOI: <https://doi.org/10.1152/japplphysiol.00964.2017>.

SOKAS, D.; PETRENAS, A.; DAUKANTAS, S.; RAPALIS, A.; PALIAKAITE, B.; MAROZAS, V. Estimation of heart rate recovery after stair climbing using a wrist-worn device. Sensors, Basel, v. 19, n. 9, p. 1-14, 2019. DOI: <https://doi.org/10.3390/s19092113 >.

TOTH, L. P.; PARK, S.; SPRINGER, C. M.; FEYERABEND, M. D.; STEEVES, J. A.; BASSETT, D. R. Video-recorded validation of wearable step counters under free-living conditions. Medicine and Science in Sports and Exercise, Indianapolis, v. 50, n. 6, p. 1315-22, 2018. DOI: <https://doi.org/10.1249/MSS.0000000000001569>.

VICTO, E. R. de.; FERRARI, G. L. de M.; SILVA JUNIOR, J. P. da.; ARAÚJO, T. L.; MATSUDO, V. K. R. Lifestyle indicators and cardiorespiratory fitness in adolescents. Revista Paulista de Pediatria, São Paulo, v. 35, n. 1, p. 61-8, 2017. DOI: <https://doi.org/10.1590/1984-0462/;2017;35;1;00016>.

Published

01-07-2022

How to Cite

FOSCHIERA, D. B.; LEGNANI, E.; GUSTAVE, E. L. D.; CIESIELSKI-JUNIOR, D. F.; MIRANDA-JUNIOR, C. R.; ABREU, S. L. de; LEGNANI, R. F. S. Validity and reproducibility of mobile devices and applications to evaluate and monitor adult cardiorespiratory fitness: a systematic review . Caderno de Educação Física e Esporte, Marechal Cândido Rondon, v. 20, p. e–27552, 2022. DOI: 10.36453/cefe.2022.27552. Disponível em: https://e-revista.unioeste.br/index.php/cadernoedfisica/article/view/27552. Acesso em: 3 jul. 2024.