The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The validation of Fitbit Zip™ physical activity monitor as a measure of free-living physical activity
Open accessAbstract
BACKGROUND: The new generation of activity monitors allow users to upload their data to the internet and review progress. The aim of this study is to validate the Fitbit Zip as a measure of free-living physical activity. FINDINGS: Participants wore a Fitbit Zip, ActiGraph GT3X accelerometer and a Yamax CW700 pedometer for seven days. Participants were asked their opinion on the utility of the Fitbit Zip. Validity was assessed by comparing the output using Spearman's rank correlation coefficients, Wilcoxon signed rank tests and Bland-Altman plots. 59.5% (25/47) of the cohort were female. There was a high correlation in steps/day between the Fitbit Zip and the two reference devices (r = 0.91, p < 0.001). No statistically significant difference between the Fitbit and Yamax steps/day was observed (Median (IQR) 7477 (3597) vs 6774 (3851); p = 0.11). The Fitbit measured significantly more steps/day than the Actigraph (7477 (3597) vs 6774 (3851); p < 0.001). Bland-Altman plots revealed no systematic differences between the devices. CONCLUSIONS: Given the high level of correlation and no apparent systematic biases in the Bland Altman plots, the use of Fitbit Zip as a measure of physical activity. However the Fitbit Zip recorded a significantly higher number of steps per day than the Actigraph.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The Fitbit ZipTM has been found to be a valid measure of free-living physical activity in healthy adults [60].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800204 · Cited by 9,619
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1191/096228099673819272 · Cited by 9,619
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
Evidence-based intervention in physical activity: lessons from around the world
Heath, G. W., Parra, D. C., Sarmiento, O. L., Andersen, L. B., Owen, N., Goenka, S., Montes, F., & Brownson, R. C. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60816-2 · Cited by 1,199
Meta-analysis of internet-delivered interventions to increase physical activity levels
Davies, C. A., Spence, J. C., Vandelanotte, C., Caperchione, C. M., & Mummery, W. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-52 · Cited by 488
Comparison of pedometer and accelerometer measures of free-living physical activity
Tudor-Locke, C. E., Ainsworth, B. E., Thompson, R. W., & Matthews, C. E. (2002) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200212000-00027 · Cited by 387
Validation of the Fitbit One activity monitor device during treadmill walking
Takacs, J., Pollock, C. L., Guenther, J. R., Bahar, M., Napier, C., & Hunt, M. A. (2013) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2013.10.241 · Cited by 336
Adam Noah, J., Spierer, D. K., Gu, J., & Bronner, S. (2013) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2013.831135 · Cited by 202
Dowd, K., Harrington, D. M., & Donnelly, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047633 · Cited by 136
A Comparison of Energy Expenditure Estimation of Several Physical Activity Monitors
Dannecker, K. L., Sazonova, N. A., Melanson, E. L., Sazonov, E. E., & Browning, R. C. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318299d2eb · Cited by 124
Cited by
Sorted by citations
Systematic review of the validity and reliability of consumer-wearable activity trackers
Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0314-1 · Cited by 1,232
Fuller, D., Colwell, E., Low, J., Orychock, K., Tobin, M. A., Simango, B., Buote, R., Van Heerden, D., Luan, H., Cullen, K., et al. (2020) · JMIR mHealth and uHealth · doi:10.2196/18694 · Cited by 715
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data
Feehan, L. M., Geldman, J., Sayre, E. C., Park, C., Ezzat, A. M., Yoo, J. Y., Hamilton, C. B., & Li, L. C. (2018) · JMIR mHealth and uHealth · doi:10.2196/10527 · Cited by 616
Sullivan, A. N., & Lachman, M. E. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00289 · Cited by 458
Lobelo, F., Rohm Young, D., Sallis, R., Garber, M. D., Billinger, S. A., Duperly, J., Hutber, A., Pate, R. R., Thomas, R. J., Widlansky, M. E., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000559 · Cited by 402
Reliability and validity of ten consumer activity trackers
Kooiman, T. J. M., Dontje, M. L., Sprenger, S. R., Krijnen, W. P., van der Schans, C. P., & de Groot, M. (2015) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-015-0018-5 · Cited by 360
Mantua, J., Gravel, N., & Spencer, R. (2016) · Sensors · doi:10.3390/s16050646 · Cited by 314
Xie, J., Wen, D., Liang, L., Jia, Y., Gao, L., & Lei, J. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.9754 · Cited by 310
Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review.
Block, V. A. J., Pitsch, E., Tahir, P., Cree, B. A. C., Allen, D. D., & Gelfand, J. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154335 · Cited by 198
Validity of the Fitbit activity tracker for measuring steps in community-dwelling older adults
Paul, S. S., Tiedemann, A., Hassett, L. M., Ramsay, E., Kirkham, C., Chagpar, S., & Sherrington, C. (2015) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2015-000013 · Cited by 164
Rykov, Y., Thach, T.-Q., Bojic, I., Christopoulos, G., & Car, J. (2021) · JMIR mHealth and uHealth · doi:10.2196/24872 · Cited by 151
Walk to a better night of sleep: testing the relationship between physical activity and sleep
Bisson, A., Robinson, S. A., & Lachman, M. E. (2019) · Sleep Health · doi:10.1016/j.sleh.2019.06.003 · Cited by 164
Alharbi, M., Bauman, A. E., Neubeck, L., & Gallagher, R. D. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487316634883 · Cited by 156
Jo, A., Coronel, B. D., Coakes, C. E., & Mainous, A. G. (2019) · The American Journal of Medicine · doi:10.1016/j.amjmed.2019.06.018 · Cited by 135
How valid are wearable physical activity trackers for measuring steps?
An, H., Jones, G. C., Kang, S., Welk, G. J., & Lee, J. M. (2016) · European Journal of Sport Science · doi:10.1080/17461391.2016.1255261 · Cited by 131
Cosoli, G., Spinsante, S., & Scalise, L. (2020) · Measurement · doi:10.1016/j.measurement.2020.107789 · Cited by 131
Imboden, M. T., Nelson, M. B., Kaminsky, L. A., & Montoye, A. H. K. (2017) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-096990 · Cited by 119
Wong, C. A., Madanay, F., Ozer, E. M., Harris, S. K., Moore, M., Master, S. O., Moreno, M., & Weitzman, E. R. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.10.018 · Cited by 111
Adams, M. A., Hurley, J. C., Todd, M., Bhuiyan, N., Jarrett, C. L., Tucker, W. J., Hollingshead, K. E., & Angadi, S. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4197-8 · Cited by 110
Dominick, G. M., Winfree, K. N., Pohlig, R. T., & Papas, M. A. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6281 · Cited by 102
Lee, H. A., Lee, H., Moon, J.-H., Lee, T., Kim, M.-G., In, H., Cho, C., & Kim, L. (2017) · Psychiatry Investigation · doi:10.4306/pi.2017.14.2.179 · Cited by 102
Gomersall, S. R., Ng, N., Burton, N. W., Pavey, T., Gilson, N. D., & Brown, W. J. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5531 · Cited by 96
Brewer, W., Swanson, B. T., & Ortíz, A. (2017) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2017-000254 · Cited by 89
Chow, J. J., Thom, J. M., Wewege, M. A., Ward, R. E., & Parmenter, B. J. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2017.06.012 · Cited by 92
Thorup, C. B., Hansen, J., Grønkjær, M., Andreasen, J. J., Nielsen, G. N., Sørensen, E. E., & Dinesen, B. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5191 · Cited by 90
Promise of Wearable Physical Activity Monitors in Oncology Practice
Beg, M. S., Gupta, A., Stewart, T. F., & Rethorst, C. D. (2017) · Journal of Oncology Practice · doi:10.1200/jop.2016.016857 · Cited by 85
Step-Based Physical Activity Metrics and Cardiometabolic Risk
Tudor-Locke, C. E., Schuna, J. M., Han, H., Aguiar, E. J., GREEN, M. A., Busa, M. A., Larrivée, S., & Johnson, W. D. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001100 · Cited by 84
Meng, Y., Speier, W. F., SHUFELT, C. L., Joung, S. Y., Eyk, J. E. V., Merz, C. N. B., Lopez, M., Spiegel, B. M. R., & Arnold, C. W. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2922178 · Cited by 83
Alinia, P., Cain, C. R., Fallahzadeh, R., Shahrokni, A., Cook, D. J., & Ghasemzadeh, H. G. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6321 · Cited by 75
Leth, S., Hansen, J., Nielsen, O., & Dinesen, B. (2017) · Sensors · doi:10.3390/s17010211 · Cited by 64
An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations
Beevi, F. H. A., Miranda, J., Pedersen, C. F., & Wagner, S. (2015) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0120 · Cited by 62
Validity of Commercial Activity Trackers in Children With Congenital Heart Disease
Voss, C., Gardner, R. F., Dean, P. H., & Harris, K. C. (2016) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2016.11.024 · Cited by 61
Losina, E., Collins, J. E., Deshpande, B. R., Smith, S. R., Michl, G. L., Usiskin, I. M., Klara, K. M., Winter, A. R., Yang, H. Y., Selzer, F., et al. (2017) · Arthritis Care & Research · doi:10.1002/acr.23324 · Cited by 62
Degroote, L., Hamerlinck, G., Poels, K., Maher, C., Crombez, G., De Bourdeaudhuij, I., Vandendriessche, A., Curtis, R. G., & DeSmet, A. (2020) · JMIR mhealth and uhealth · doi:10.2196/16674 · Cited by 60
Information in the Biosphere: Biological and Digital Worlds
Gillings, M. R., Hilbert, M., & Kemp, D. J. (2016) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.12.013 · Cited by 61
Thorup, C. B., Grønkjær, M., Spindler, H., Andreasen, J. J., Hansen, J., Dinesen, B., Nielsen, G. N., & Sørensen, E. E. (2016) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-016-0048-7 · Cited by 64
Validation of the Fitbit Zip for monitoring physical activity among free-living adolescents
Schneider, M. L., & Chau, L. (2016) · BMC Research Notes · doi:10.1186/s13104-016-2253-6 · Cited by 56
Polgreen, L. A., Anthony, C., Carr, L., Simmering, J. E., Evans, N. J., Foster, E. D., Segre, A. M., Cremer, J. F., & Polgreen, P. M. (2018) · PLOS ONE · doi:10.1371/journal.pone.0195797 · Cited by 52
Physical activity and atrial fibrillation: Data from wearable fitness trackers
Semaan, S., Dewland, T. A., Tison, G. H., Nah, G., Vittinghoff, E., Pletcher, M. J., Olgin, J. E., & Marcus, G. M. (2020) · Heart Rhythm · doi:10.1016/j.hrthm.2020.02.013 · Cited by 52
Mikkelsen, M.-L. K., Berg‐Beckhoff, G., Frederiksen, P., Horgan, G. W., O’Driscoll, R., Palmeira, A. L., Scott, S., Stubbs, R. J., Heitmann, B. L., & Larsen, S. C. (2020) · PLoS ONE · doi:10.1371/journal.pone.0234426 · Cited by 54
Older women’s perceptions of wearable and smart home activity sensors
Reeder, B., Chung, J., Lyden, K. A., Winters, J. D., & Jankowski, C. M. (2019) · Informatics for Health and Social Care · doi:10.1080/17538157.2019.1582054 · Cited by 49
Huffman, J. C., Adams, C. N., & Celano, C. M. (2017) · Psychosomatics · doi:10.1016/j.psym.2017.09.003 · Cited by 49
Giurgiu, M., Timm, I., Becker, M. L., Schmidt, S., Wunsch, K., Nissen, R., Davidovski, D., Bussmann, J. B. J., Nigg, C. R., Reichert, M., et al. (2022) · JMIR mhealth and uhealth · doi:10.2196/36377 · Cited by 48
Stelzer, E., Book, S., Graessel, E., Hofner, B., Kornhuber, J., & Luttenberger, K. (2018) · Heliyon · doi:10.1016/j.heliyon.2018.e00580 · Cited by 46
The Validity of Consumer-Level Activity Monitors in Healthy Older Adults in Free-Living Conditions
Farina, N., & Lowry, R. (2017) · Journal of Aging and Physical Activity · doi:10.1123/japa.2016-0344 · Cited by 45
Thorup, C. B., Andreasen, J. J., Sørensen, E. E., Grønkjær, M., Dinesen, B., & Hansen, J. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-011742 · Cited by 46
O'Brien, M. W., Wojcik, W. R., & Fowles, J. R. (2018) · JMIR mhealth and uhealth · doi:10.2196/10706 · Cited by 44
The therapeutic effects of climbing: A systematic review and meta‐analysis
Gassner, L., Dabnichki, P., Langer, A., Pokan, R., Zach, H., Ludwig, M., & Santer, A. (2022) · PM&R · doi:10.1002/pmrj.12891 · Cited by 40
Physical activity intervention using Fitbits in an introductory college health course
Rote, A. E. (2016) · Health Education Journal · doi:10.1177/0017896916674505 · Cited by 39
Fitbit Flex: an unreliable device for longitudinal sleep measures in a non-clinical population
Baroni, A., Bruzzese, J., Bartolo, C. A. D., & Shatkin, J. P. (2015) · Sleep And Breathing · doi:10.1007/s11325-015-1271-2 · Cited by 37
Measuring the fitness of fitness trackers
Bender, C. G., Hoffstot, J. C., Combs, B. T., Hooshangi, S., & Cappos, J. (2017) · IEEE Sensors Applications Symposium (SAS) · doi:10.1109/sas.2017.7894077 · Cited by 36
Janevic, M. R., Shute, V., Murphy, S. L., & Piette, J. D. (2019) · Pain Medicine · doi:10.1093/pm/pnz215 · Cited by 35
Beagle, A. J., Tison, G. H., Aschbacher, K., Olgin, J. E., Marcus, G. M., & Pletcher, M. J. (2020) · JMIR mhealth and uhealth · doi:10.2196/22090 · Cited by 39
Buckinx, F., Mouton, A., Reginster, J.-Y., Croisier, J. ‐., Dardenne, N., Beaudart, C., Nelis, J., Lambert, E., Appelboom, G., & Bruyère, O. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2017.02.010 · Cited by 35
Liu, J. Y. W., Kwan, R. Y. C., Yin, Y., Lee, P. H., Siu, J. Y., & Bai, X. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph181910344 · Cited by 34
Wearables for health and fitness: Measurement characteristics and accuracy
Scalise, L., & Cosoli, G. (2018) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc.2018.8409635 · Cited by 35
Lister, N. B., Jebeile, H., Truby, H., Garnett, S. P., Varady, K. A., Cowell, C. T. C. T., Collins, C. E., Paxton, S. J., Gow, M. L., Brown, J. J., et al. (2019) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2019.11.005 · Cited by 35
Vaughn, N. H., Dunklebarger, M., & Mason, M. W. (2018) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000000591 · Cited by 31
Comparison of wrist-worn and hip-worn activity monitors under free living conditions
Hargens, T. A., Deyarmin, K. N., Snyder, K. M., Mihalik, A. G., & Sharpe, L. E. (2017) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2016.1271046 · Cited by 30
Mooses, K., Oja, M., Reisberg, S., Vilo, J., & Kull, M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5752-7 · Cited by 30
Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health: Cross-Sectional Study
Rykov, Y., Thach, T.-Q., Dunleavy, G., Roberts, A. C., Christopoulos, G., Soh, C. K., & Car, J. (2020) · JMIR mHealth and uHealth · doi:10.2196/16409 · Cited by 29
Biventricular Pacing Versus Right Ventricular Pacing in Patients Supported With LVAD
Chung, B., Grinstein, J., Imamura, T., Kruse, E., Nguyen, A. B., Narang, N., Holzhauser, L., Burkhoff, D., Lang, R. M., Sayer, G. T., et al. (2021) · JACC. Clinical electrophysiology · doi:10.1016/j.jacep.2021.01.016 · Cited by 29
Breteler, M. J. M., Janssen, J. H., Spiering, W., Kalkman, C. J., van Solinge, W. W., & Dohmen, D. (2019) · JMIR Formative Research · doi:10.2196/11489 · Cited by 29
Ng, K., Tynjälä, J., & Kokko, S. P. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6940 · Cited by 28
Gaz, D. V., Rieck, T. M., Peterson, N. W., Ferguson, J. A., Schroeder, D. R., Dunfee, H. A., Henderzahs-Mason, J. M., & Hagen, P. T. (2018) · American Journal of Health Promotion · doi:10.1177/0890117118763273 · Cited by 27
Brewer, L. C., Kaihoi, B., Zarling, K. K., Squires, R. W., Thomas, R. J., & Kopecky, S. L. (2015) · JMIR Research Protocols · doi:10.2196/resprot.4285 · Cited by 27
Finkelstein, E. A., Sahasranaman, A., John, G., Haaland, B. A., Bilger, M., Sloan, R. A., Khaing, N. E. E., & Evenson, K. R. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.01.020 · Cited by 30
A Validation Study of the Fitbit One in Daily Life Using Different Time Intervals
Middelweerd, A., van der Ploeg, H. P., van Halteren, A., Twisk, J. W. R., Brug, J., & Velde, S. J. T. (2017) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001225 · Cited by 28
Menkin, J. A., McCreath, H. E., Song, S. Y., Carrillo, C. A., Reyes, C. E. S., Trejo, L., CHOI, S. E., Willis, P., Jimenez, E., Ma, S., et al. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.011088 · Cited by 26
Casey, M.-B., Smart, K., Segurado, R., Hearty, C., Gopal, H., Lowry, D., Flanagan, D., McCracken, L., & Doody, C. (2018) · Trials · doi:10.1186/s13063-018-2543-5 · Cited by 25
Validity and reliability of the Fitbit Zip as a measure of preschool children’s step count
Sharp, C., Mackintosh, K. A., Erjavec, M., Pascoe, D., & Horne, P. J. (2017) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2017-000272 · Cited by 25
Orstad, S. L., Gerchow, L., Patel, N., Reddy, M., Hernandez, C., Wilson, D. K., & Jay, M. R. (2021) · Informatics · doi:10.3390/informatics8020039 · Cited by 28
Delobelle, J., Lebuf, E., Dyck, D. V., Compernolle, S., Janek, M., Backere, F. D., & Větrovský, T. (2024) · Digital Health · doi:10.1177/20552076241262710 · Cited by 24
Block, V. J., Zhao, C., Hollenbach, J. A., Olgin, J. E., Marcus, G. M., Pletcher, M. J., Henry, R. G., Gelfand, J. M., & Cree, B. (2019) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/2055217319888660 · Cited by 24
Physical activity measured using wearable activity tracking devices associated with gout flares
Elmagboul, N., Coburn, B. W., Foster, J., Mudano, A. S., Melnick, J. A., Bergman, D. A., Yang, S., Chen, L., Filby, C., Mikuls, T. R., et al. (2020) · Arthritis Research & Therapy · doi:10.1186/s13075-020-02272-2 · Cited by 24
Ward, S., Orme, M. W., Zatloukal, J., & Singh, S. (2021) · BMC Pulmonary Medicine · doi:10.1186/s12890-021-01406-9 · Cited by 25
Šimůnek, A., Dygrýn, J., Gába, A., Jakubec, L., Stelzer, J., & Chmelík, F. (2016) · Acta Gymnica · doi:10.5507/ag.2016.014 · Cited by 28
Buis, L. R., Dawood, K., Kadri, R., Dawood, R., Richardson, C. R., Djurić, Z., Sen, A., Plegue, M. A., Hutton, D. W., Brody, A., et al. (2018) · JMIR Research Protocols · doi:10.2196/12601 · Cited by 24
Matz-Costa, C. J., Lubben, J., Lachman, M. E., Lee, H., & Choi, Y. J. (2018) · Journal of Gerontological Social Work · doi:10.1080/01634372.2018.1542371 · Cited by 22
Validation of Electronic Activity Monitor Devices During Treadmill Walking
Tam, K. M., & Cheung, S. Y. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2017.0263 · Cited by 22
Objective Measurement in Physical Activity Surveillance: Present Role and Future Potential
Bauman, A. E., Pedišić, Ž., & Bragg, K. (2016) · Springer series on epidemiology and public health · doi:10.1007/978-3-319-29577-0_13 · Cited by 21
The Role of Remote Monitoring in Evaluating Fatigue in Multiple Sclerosis: A Review
Block, V. J., Bove, R. M., & Nourbakhsh, B. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.878313 · Cited by 22
Sahu, K. S., Oetomo, A., & Morita, P. P. (2020) · JMIR mhealth and uhealth · doi:10.2196/21016 · Cited by 20
Effects of exposure to 56Fe particles on the acquisition of a conditioned place preference in rats.
Rabin, B. M., Shukitt‐Hale, B., Joseph, J. A., & Denissova, N. (2001) · PubMed · Cited by 20
Validation of Four Smartwatches in Energy Expenditure and Heart Rate Assessment During Exergaming
Pope, Z., Lee, J. E., Zeng, N., & Gao, Z. (2019) · Games for Health Journal · doi:10.1089/g4h.2018.0087 · Cited by 20
Comparing Methods to Identify Wear-Time Intervals for Physical Activity With the Fitbit Charge 2
Claudel, S. E., Tamura, K., Troendle, J. F., Andrews, M. R., Ceasar, J. N., Mitchell, V. M., Vijayakumar, N. P., & Powell‐Wiley, T. M. (2020) · Journal of Aging and Physical Activity · doi:10.1123/japa.2020-0059 · Cited by 18
A novel approach to the issue of physical inactivity in older age
Tiedemann, A., Hassett, L. M., & Sherrington, C. (2015) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2015.07.008 · Cited by 18
Prieto-Centurion, V., Bracken, N. E., Norwick, L. M., Zaidi, F., Mutso, A. A., Morken, V., Coultas, D., Rand, C. S., Márquez, D. X., & Krishnan, J. A. (2016) · Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation · doi:10.15326/jcopdf.3.3.2015.0164 · Cited by 17
Quantifying Human Movement Using the Movn Smartphone App: Validation and Field Study
Maddison, R., Gemming, L., Monedero, J., Bolger, L. A., Belton, S., Issartel, J., Marsh, S., Direito, A., Solenhill, M., Zhao, J., et al. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7167 · Cited by 18
Kim, Y., & Lochbaum, M. R. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15102268 · Cited by 20
Tangible Communication of Emotions with a Digital Companion for Managing Stress
Jingar, M., & Lindgren, H. (2019) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3349537.3351907 · Cited by 19
Kwon, I., CHOI, S. E., Mittman, B. S., Bharmal, N. H., Liu, H., Vickrey, B. G., Song, S. Y., Araiza, D., McCreath, H. E., Seeman, T. E., et al. (2015) · BMC Neurology · doi:10.1186/s12883-015-0346-9 · Cited by 16
McVeigh, J. A., Ellis, J., Ross, C., Tang, K., Wan, P., Halse, R. E., Dhaliwal, S. S., Kerr, D. A., & Straker, L. M. (2021) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2020-0014 · Cited by 16
Keeney, J., Schneider, K. L., & Moller, A. C. (2018) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2018.12.003 · Cited by 15
Matching science to reality: how to deploy a participant-driven digital brain health platform
Anda‐Duran, I. D., Hwang, P. H., Popp, Z., Low, S., Ding, H., Rahman, S., Igwe, A., Kolachalama, V. B., Lin, H., & Au, R. (2023) · Frontiers in Dementia · doi:10.3389/frdem.2023.1135451 · Cited by 14
Myers, N. D., Lee, S., Bateman, A. G., Prilleltensky, I., Clevenger, K. A., Pfeiffer, K. A., Dietz, S., Prilleltensky, O., McMahon, A., & Brincks, A. M. (2019) · Pilot and Feasibility Studies · doi:10.1186/s40814-019-0455-0 · Cited by 14
Validity and Reliability of the Wristband Activity Monitor in Free-living Children Aged 10-17 Years.
Yang, X., Jago, R., Zhang, Q., Wang, Y. Y., Zhang, J., & Zhao, W. H. (2019) · PubMed · doi:10.3967/bes2019.103 · Cited by 14
Investigating Wearable Technology for Fatigue Identification in the Workplace
Griffiths, C., Bowen, J., & Hinze, A. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-67684-5_22 · Cited by 13
ParaLabel: Autonomous Parameter Learning for Cross-Domain Step Counting in Wearable Sensors
Alinia, P., Fallahzadeh, R., Connolly, C. P., & Ghasemzadeh, H. G. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3009231 · Cited by 12
Metadata
- Authors
- Tully, M. A., McBride, C., Heron, L., & Hunter, R. F.
- Affiliations
- Queen's University Belfast (GB)
- Corresponding author
- Tully, Mark A
- Venue
- BMC Research Notes
- Published
- 2014
- Volume
- 7
- Issue
- 1
- Pages
- 952
- ISSN
- 1756-0500 (ISSN-L)
- PMC
- PMC4307145
- OpenAlex
- W2102760209
- Cited by
- 172
- References
- 16
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 9 · 2023: 6 · 2022: 8 · 2021: 16 · 2020: 25 · 2019: 19 · 2018: 19 · 2017: 26 · 2016: 24 · 2015: 11
- FWCI
- 13.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Research Notes (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (Queen's University Belfast) (acceptedVersion, other-oa)
- Funders
- Wellcome Trust
- United Kingdom Clinical Research Collaboration
- Alzheimer's Society
- Alzheimer's Research Trust
- Cancer Research UK
- National Institute for Health and Care Research
- British Heart Foundation
- Diabetes UK
- Stroke Association
- Public Health Agency
- Directorate for Biological Sciences
- Medical Research Council (MR/K023241/1)
- Engineering and Physical Sciences Research Council
- Economic and Social Research Council
- World Cancer Research Fund
- Health and Social Care Research and Development Division
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- wearable activity trackers, accelerometer, pedometers, free-living physical activity, step count, device validation, ActiGraph GT3X+
- MeSH terms
- Adult, Female, Humans, Male, Physical Fitness, Telemetry, Reproducibility of Results, Cohort Studies, Walking, Monitoring, Ambulatory, Young Adult, Actigraphy, Independent Living, Accelerometry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review

