References
- Bassett, D. R., Ainsworth, B. E., Leggett, S. R., Mathien, C. A., Main, J. A., Hunter, D. C., & Duncan, G. E. (1996). Accuracy of five electronic pedometers for measuring distance walked. Medicine and Science in Sports and Exercise, 28(8), 1071–1077. https://doi.org/https://doi.org/10.1097/00005768-199608000-00019
- Bender, M. S., Cooper, B. A., Park, L. G., Padash, S., & Arai, S. (2017). A feasible and efficacious mobile-phone based lifestyle intervention for Filipino Americans with type 2 diabetes: Randomized controlled trial. JMIR Diabetes, 2(2), e30. https://doi.org/https://doi.org/10.2196/diabetes.8156
- Bort-Roig, J., Gilson, N. D., Puig-Ribera, A., Contreras, R. S., & Trost, S. G. (2014). Measuring and influencing physical activity with smartphone technology: A systematic review. Sports Medicine, 44(5), 671–686. https://doi.org/https://doi.org/10.1007/s40279-014-0142-5
- Brodie, M. A., Pliner, E. M., Ho, A., Li, K., Chen, Z., Gandevia, S. C., & Lord, S. R. (2018). Big data vs accurate data in health research: Large-scale physical activity monitoring, smartphones, wearable devices and risk of unconscious bias. Medical Hypotheses, 119, 32–36. https://doi.org/https://doi.org/10.1016/j.mehy.2018.07.015
- Brodie, M. A. D., Coppens, M. J. M., Lord, S. R., Lovell, N. H., Gschwind, Y. J., Redmond, S. J., Del Rosario, M. B., Wang, K., Sturnieks, D. L., Persiani, M., & Delbaere, K. (2016). Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different. Medical and Biological Engineering and Computing, 54(4), 663–674. https://doi.org/https://doi.org/10.1007/s11517-015-1357-9
- Brodie, M. A., Coppens, M. J., Ejupi, A., Gschwind, Y. J., Annegarn, J., Schoene, D., Wieching, R., Lord, S. R., & Delbaere, K. (2017). Comparison between clinical gait and daily-life gait assessments of fall risk in older people. Geriatrics & Gerontology International, 17(11), 2274–2282. https://doi.org/https://doi.org/10.1111/ggi.12979
- Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015). Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA – Journal of the American Medical Association, 313(6), 625–626. https://doi.org/https://doi.org/10.1001/jama.2014.17841
- Chan, C., Inskip, J. A., Kirkham, A. R., Ansermino, J. M., Dumont, G., Li, L. C., Ho, K., Novak Lauscher, H., Ryerson, C. J., Hoens, A. M., Chen, T., Garde, A., Road, J. D., & Camp, P. G. (2019). A smartphone oximeter with a fingertip probe for use during exercise training: Usability, validity and reliability in individuals with chronic lung disease and healthy controls. Physiotherapy, 105(3), 297–306. https://doi.org/https://doi.org/10.1016/j.physio.2018.07.015
- Choi, Y. K., Demiris, G., Lin, S. Y., Iribarren, S. J., Landis, C. A., Thompson, H. J., McCurry, S. M., Heitkemper, M. M., & Ward, T. M. (2018). Smartphone applications to support sleep self-management: Review and evaluation. Journal of Clinical Sleep Medicine, 14(10), 1783–1790. American Academy of Sleep Medicine. https://doi.org/https://doi.org/10.5664/jcsm.7396
- Douma, J. A. J., Verheul, H. M. W., & Buffart, L. M. (2018). Feasibility, validity and reliability of objective smartphone measurements of physical activity and fitness in patients with cancer. BMC Cancer, 18(1), 1052. https://doi.org/https://doi.org/10.1186/s12885-018-4983-4
- Ebara, T., Azuma, R., Shoji, N., Matsukawa, T., Yamada, Y., Akiyama, T., Kurihara, T., & Yamada, S. (2017). Reliability of smartphone-based gait measurements for quantification of physical activity/inactivity levels. Journal of Occupational Health, 59(6), 506–512. https://doi.org/https://doi.org/10.1539/joh.17-0101-OA
- El-Amrawy, F., & Nounou, M. I. (2015). Are currently available wearable devices for activity tracking and heart rate monitoring accurate, precise, and medically beneficial? Healthcare Informatics Research, 21(4), 315–320. https://doi.org/https://doi.org/10.4258/hir.2015.21.4.315
- Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015). Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 159. https://doi.org/https://doi.org/10.1186/s12966-015-0314-1
- Feter, N., Dos Santos, T. S., Caputo, E. L., & Da Silva, M. C. (2019). What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis. International Journal of Public Health, 7(2012), 679–690. https://doi.org/https://doi.org/10.1007/s00038-019-01210-7
- Giavarina, D. (2015). Understanding bland Altman analysis. Biochemia Medica, 25(2), 141–151. https://doi.org/https://doi.org/10.11613/BM.2015.015
- Hartman, S. J., Nelson, S. H., Cadmus-Bertram, L. A., Patterson, R. E., Parker, B. A., & Pierce, J. P. (2016). Technology- and phone-based weight loss intervention: Pilot RCT in women at elevated breast cancer risk. American Journal of Preventive Medicine, 51(5), 714–721. https://doi.org/https://doi.org/10.1016/j.amepre.2016.06.024
- Höchsmann, C., Knaier, R., Eymann, J., Hintermann, J., Infanger, D., & Schmidt-Trucksäss, A. (2018). Validity of activity trackers, smartphones, and phone applications to measure steps in various walking conditions. Scandinavian Journal of Medicine & Science in Sports, 28(7), 1818–1827. https://doi.org/https://doi.org/10.1111/sms.13074
- Kim, S.-E., Kim, J.-W., & Jee, Y.-S. (2015). Relationship between smartphone addiction and physical activity in Chinese international students in Korea. Journal of Behavioral Addictions, 4(3), 200–205. https://doi.org/https://doi.org/10.1556/2006.4.2015.028
- Konharn, K., Eungpinichpong, W., Promdee, K., Sangpara, P., Nongharnpitak, S., Malila, W., & Karawa, J. (2016). Validity and reliability of smartphone applications for the assessment of walking and running in normal-weight and overweight/obese young adults. Journal of Physical Activity & Health, 13(12), 1333–1340. https://doi.org/https://doi.org/10.1123/jpah.2015-0544
- Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M., & Gates, P. (2013). The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 79. https://doi.org/https://doi.org/10.1186/1479-5868-10-79
- Maher, C., Ferguson, M., Vandelanotte, C., Plotnikoff, R., De Bourdeaudhuij, I., Thomas, S., Nelson-Field, K., & Olds, T. (2015). A web-based, social networking physical activity intervention for insufficiently active adults delivered via Facebook App: Randomized controlled trial. Journal of Medical Internet Research, 17(7), e174. https://doi.org/https://doi.org/10.2196/jmir.4086
- Mbbs, G. B., Padmasekara Mbbs, G., & Blum, M. (2012). Accuracy of mobile phone pedometer technology. Journal of Mobile Technology in Medicine, 1(2), 16–22. https://doi.org/https://doi.org/10.7309/jmtm.13
- Mok, J. Y., Choi, S. W., Kim, D. J., Choi, J. S., Lee, J., Ahn, H., Choi, E. J., & Song, W. Y. (2014). Latent class analysis on internet and smartphone addiction in college students. Neuropsychiatric Disease and Treatment, 10, 817–828. https://doi.org/https://doi.org/10.2147/NDT.S59293
- Obuchi, S. P., Tsuchiya, S., & Kawai, H. (2018). Test-retest reliability of daily life gait speed as measured by smartphone global positioning system. Gait & Posture, 61, 282–286. https://doi.org/https://doi.org/10.1016/j.gaitpost.2018.01.029
- Orr, K., Howe, H. S., Omran, J., Smith, K. A., Palmateer, T. M., Ma, A. E., & Faulkner, G. (2015). Validity of smartphone pedometer applications. BMC Research Notes, 8(1), 733. https://doi.org/https://doi.org/10.1186/s13104-015-1705-8
- Pratt, M., Sarmiento, O. L., Montes, F., Ogilvie, D., Marcus, B. H., Perez, L. G., Brownson, R. C., Alkandari, J. R., Andersen, L. B., Bauman, A. E., Blair, S. N., Bull, F. C., Craig, C. L., Ekelund, U., Goenka, S., Guthold, R., Hallal, P. C., Haskell, W. L., Heath, G. W., & Wells, J. C. (2012). The implications of megatrends in information and communication technology and transportation for changes in global physical activity. The Lancet, 380(9838), 282–293. https://doi.org/https://doi.org/10.1016/S0140-6736(12)60736-3
- Presset, B., Laurenczy, B., Malatesta, D., & Barral, O. (2018). Accuracy of a smartphone pedometer application according to different speeds and mobile phone locations in a laboratory context. Journal of Exercise Science & Fitness, 16(2), 43–48. https://doi.org/https://doi.org/10.1016/j.jesf.2018.05.001
- Sabharwal, S., & Kumar, A. (2008). Methods for assessing leg length discrepancy. Clinical Orthopaedics and Related Research, 466(12), 2910–2922. https://doi.org/https://doi.org/10.1007/s11999-008-0524-9
- Tam, K. M., & Cheung, S. Y. (2018). Validation of electronic activity monitor devices during treadmill walking. Telemedicine and E-Health, 24(10), 782–789. https://doi.org/https://doi.org/10.1089/tmj.2017.0263
- Walsh, J. C., Corbett, T., Hogan, M., Duggan, J., & McNamara, A. (2016). An mHealth intervention using a smartphone app to increase walking behavior in young adults: A pilot study. JMIR MHealth and UHealth, 4(3), e109. https://doi.org/https://doi.org/10.2196/mhealth.5227
- Yakel, J. P., Meacham, K. J., Glave, A. P., Didier, J. J., Williams, M. L., Waters, C., Cole, M., & Feren, E. (2019). Accuracy of smartphone application to monitor heart rate. The Journal of Sports Medicine and Physical Fitness, 59(8), 1281–1284. https://doi.org/https://doi.org/10.23736/S0022-4707.19.09167-9
- Yan Leong, J., & Eiin Wong, J. (2017). Accuracy of three Android-based pedometer applications in laboratory and free-living settings. Journal of Sports Sciences, 35(1), 14–21. https://doi.org/https://doi.org/10.1080/02640414.2016.1154592