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Assessing Physical Activity Using Wearable Monitors: Measures of Physical Activity
Open accessAbstract
BACKGROUND: Physical activity may be defined broadly as "all bodily actions produced by the contraction of skeletal muscle that increase energy expenditure above basal level." Physical activity is a complex construct that can be classified into major categories qualitatively, quantitatively, or contextually. The quantitative assessment of physical activity using wearable monitors is grounded in the measurement of energy expenditure. Six main categories of wearable monitors are currently available to investigators: pedometers, load transducers/foot-contact monitors, accelerometers, HR monitors, combined accelerometer and HR monitors, and multiple sensor systems. BEST PRACTICES: Currently available monitors are capable of measuring total physical activity as well as components of physical activity that play important roles in human health. The selection of wearable monitors for measuring physical activity will depend on the physical activity component of interest, study objectives, characteristics of the target population, and study feasibility in terms of cost and logistics. FUTURE DIRECTIONS: Future development of sensors and analytical techniques for assessing physical activity should focus on the dynamic ranges of sensors, comparability for sensor output across manufacturers, and the application of advanced modeling techniques to predict energy expenditure and classify physical activities. New approaches for qualitatively classifying physical activity should be validated using direct observation or recording. New sensors and methods for quantitatively assessing physical activity should be validated in laboratory and free-living populations using criterion methods of calorimetry or doubly labeled water.
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Cites
Compendium of Physical Activities: Classification of energy costs of human physical activities
AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00011 · Cited by 4,102
Scaling Why is animal size so important?
Schmidt‐Nielsen, K. (1984) · Cited by 2,654
Kleiber, M. (1947) · Physiological Reviews · doi:10.1152/physrev.1947.27.4.511 · Cited by 1,817
Validation and Calibration of Physical Activity Monitors in Children
Puyau, M. R., Adolph, A. L., Vohra, F. A., & Butte, N. F. (2002) · Obesity Research · doi:10.1038/oby.2002.24 · Cited by 1,013
Self-citationThe Technology of Accelerometry-Based Activity Monitors: Current and Future
CHEN, K. Y., & BASSETT, D. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185571.49104.82 · Cited by 996
Accelerometry: A technique for quantifying movement patterns during walking
Kavanagh, J. J., & Menz, H. B. (2008) · Gait & Posture · doi:10.1016/j.gaitpost.2007.10.010 · Cited by 661
Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water
Plasqui, G., & Westerterp, K. R. (2007) · Obesity · doi:10.1038/oby.2007.281 · Cited by 654
Self-citationAccuracy and Reliability of 10 Pedometers for Measuring Steps over a 400-m Walk
SCHNEIDER, P. L., Crouter, S. E., Lukajic, O., & Bassett, D. R. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000089342.96098.c4 · Cited by 633
Development of a Compendium of Energy Expenditures for Youth.
Ridley, K., Ainsworth, B. E., & Olds, T. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-45 · Cited by 622
How to assess physical activity? How to assess physical fitness?
Vanhees, L., Lefevre, J., Philippaerts, R. M., Martens, M., Huygens, W., Troosters, T., & Beunen, G. P. (2005) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000161551.73095.9c · Cited by 595
Cited by
Sorted by citations
Items 201–300 of 357
Inhibitors, enablers and social side winds Explaining the use of exercise tracking systems
Moilanen, P., Salo, M., & Frank, L. (2014) · Journal of the Association for Information Systems · Cited by 8
Studies of physical activity in the Swedish population
Olsson, S. J. G. (2016) · Diva portal (Dalarna University Library) · Cited by 8
Wearable Sensors for Upper Limb Monitoring
Yeo, J. C., & Lim, C. T. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811810-8.00006-3 · Cited by 7
Szabo‐Reed, A. N., Washburn, R. A., Greene, J. L., Ptomey, L. T., Gorczyca, A. M., Lee, R. H., Little, T. D., Lee, J., Honas, J. J., & Donnelly, J. E. (2020) · Contemporary Clinical Trials · doi:10.1016/j.cct.2020.105952 · Cited by 8
Worska, A., Maciaszek, J., Ciążyńska, J., & Szumilewicz, A. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1540355 · Cited by 6
“PA is defined as “all bodily actions produced by the contraction of skeletal muscle that increase energy expenditure above basal level” (21).”
Predicting METs from the heart rate index in persons with Down syndrome
Agiovlasitis, S., Rossow, L. M., Yan, H., Ranadive, S. M., Fahs, C. A., Motl, R. W., & Fernhall, B. (2014) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2014.06.005 · Cited by 6
Choosing Instruments for Research: an Evaluation of Two Activity Monitors in Healthy Women
Kip, C. V. K. E. (2013) · Journal of Novel Physiotherapies · doi:10.4172/2165-7025.1000171 · Cited by 6
“Pedometers and other activity-based monitors pose difficulties in research due to low participant compliance related to feasibility, ease of use and acceptability limitations [7].”
BackgroundPersonalizing Physical Effort Estimation in Workplaces Using a Wearable Heart Rate Sensor
Pancardo, P., Hernández-Nolasco, J. A., Acosta, F., & Wister, M. A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-48799-1_14 · Cited by 7
Power-efficient real-time approach to non-wear time detection for smartwatches
Kheirkhahan, M., Das, H., Battula, M., Davoudi, A., Rashidi, P., Manini, T. M., & Ranka, S. (2017) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2017.7897244 · Cited by 6
“Physical activity (PA) has been shown to be strongly associated with health [1] and therefore, many works have focused on developing accurate PA assessment to describe and understand health-related outcomes [2].”
BackgroundWeight management in rural health clinics: The Midwest diet and exercise trial
Gorczyca, A. M., Washburn, R. A., Ptomey, L. T., Mayo, M. S., Sullivan, D. K., Gibson, C., Lee, R. H., Stolte, S. E., & Donnelly, J. E. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.02.006 · Cited by 6
Personalized Tracking of Physical Activity in Children Using a Wearable Heart Rate Monitor
Pérez, S. A., Díaz, A. M., & López, D. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165895 · Cited by 6
Elements of Effective Population Surveillance Systems for Monitoring Obesity in School Aged Children
Hardy, L. L., & Mihrshahi, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186812 · Cited by 6
Cross-Cultural Adaptation of the CHAMPS Questionnaire in French Canadians with COPD
Mak, S., Soicher, J. E., Mayo, N. E., Wood-Dauphinée, S., & Bourbeau, J. (2016) · Canadian Respiratory Journal · doi:10.1155/2016/9304505 · Cited by 6
Surface Acoustic Wave (SAW) force myography sensor for muscle force output identification
Kohler, M. C., Voiculescu, I., & Li, F. (2024) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2024.115959 · Cited by 5
Watanabe, D., Yoshida, T., Watanabe, Y., Yamada, Y., & Kimura, M. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01681-6 · Cited by 5
“PA accounts for approximately 20 – 35% of the total energy expenditure [40], and people with obesity and overweight are more likely to engage in a lower amount of PA. Fig.”
Doron, M., Bastian, T., Maire, A., Perrin, E., Oudre, L., Ovigneur, H., Gris, F., Francis, A.-L., Antonakios, M., Guillemaud, R., et al. (2013) · IRBM · doi:10.1016/j.irbm.2013.01.006 · Cited by 5
“For half of them, oubly labeled water (DLW) methods will provide an indepenent value of the average daily PAEE (DLW is considered being he golden-standard).”
BackgroundInfluentialWarnick, J. L., Pinto, S., Ding, K., & Janicke, D. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816000-8.00004-9 · Cited by 6
Takigawa, R., Inayama, T., Yamada, K., Muraoka, Y., & Ohkawara, K. (2018) · The Journal of Physical Fitness and Sports Medicine · doi:10.7600/jpfsm.7.193 · Cited by 5
Accelerometer-derived physical activity analysis of elderly osteoarthritis patients
Lee, S.-Y., Kim, S. C., Gim, J., Park, S. J., Seo, S., Kim, S. J., Kim, H. S., & Yoo, J. (2023) · Musculoskeletal Science and Practice · doi:10.1016/j.msksp.2023.102808 · Cited by 5
Impact of EPOC adjustment on estimation of energy expenditure using activity monitors
Přibyslavská, V., Caputo, J. L., Coons, J. M., & Barry, V. (2018) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2018.1472823 · Cited by 5
Roossien, C. C., Krops, L. A., Wempe, J. B., Verkerke, G. J., & Reneman, M. F. (2020) · Applied Ergonomics · doi:10.1016/j.apergo.2020.103266 · Cited by 5
Wisdom of the IoT Crowd: Envisioning a Smart Home-based Nutritional Intake Monitoring System
Faltaous, S., Janzon, S., Heger, R., Strauss, M. D., Golkar, P., Viefhaus, M., Prochazka, M., Gruenefeld, U., & Schneegaß, S. (2021) · Mensch und Computer (MuC) · doi:10.1145/3473856.3474009 · Cited by 5
“Therefore, technical solutions and research have been focusing on providing tools that could help users to keep track of the nutrition intake (e.g., [22, 35, 40]) and the level of executed activity (e.g., level [3, 6]).”
BackgroundWearables with Heart Rate Monitors and Dynamic Workout Plans
Ferreira, A. E. N., Coelho, J., & Nogueira, N. (2018) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc.2018.8450275 · Cited by 5
Guo, M., Wei, Q., Zeng, X., James, L., Gorp, P. M. E. V., Vos, S. B., Houben, S., & Hu, J. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103552 · Cited by 4
Lager, C., Rizzuto, D., Ars, J., Boström, A., Calderón‐Larrañaga, A., & Welmer, A. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf409 · Cited by 5
Mehta, S., Allen, L. H., Bailey, R. L., Boushey, C. J., Duggan, C., Crouter, S. E., Engle‐Stone, R., Fahim, S. M., Gibbs, K., Hernández, E., et al. (2025) · Journal of Nutrition · doi:10.1016/j.tjnut.2025.10.030 · Cited by 7
Jeran, S., Steinbrecher, A., Haas, V. K., Mähler, A., Boschmann, M., Westerterp, K. R., Brühmann, B. A., Steindorf, K., & Pischon, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-20639-0 · Cited by 4
Self-citationIdentifying the Sport Activity of GPS Tracks
Ferri, C. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.05.345 · Cited by 4
“Some works use GPS data for several goals in health sciences [1] and agronomic sciences [13].”
BackgroundGant, K. L., Bohorquez, J. E., & Thomas, C. K. (2017) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2017-0104 · Cited by 5
Preview investigators, Öhlin, A., Simunovic, N., Duong, A., & Ayeni, O. R. (2020) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-020-03220-6 · Cited by 7
Measuring and Predicting Total Energy Expenditure Among Highly Active Humans in Natural Environments
Ocobock, C. J. (2014) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k7mw2f4q · Cited by 4
Pohybová aktivita a sportovní preference adolescentek
Neuls, F., & Frömel, K. (2016) · doi:10.5507/ftk.16.24450902 · Cited by 4
Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach
Billiet, L., Swinnen, T. W., de Vlam, K., Westhovens, R., & Huffel, S. V. (2018) · Informatics · doi:10.3390/informatics5020020 · Cited by 4
“Furthermore, several studies have used accelerometers to study energy expenditure and sedentary behaviour over longer periods of time [10–15].”
BackgroundRasmussen, C. L., Nabe‐Nielsen, K., Jørgensen, M. B., & Holtermann, A. (2018) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-018-1378-4 · Cited by 4
On determining the best physiological predictors of activity intensity using phone-based sensors
Vathsangam, H., Schroeder, E. T., & Sukhatme, G. S. (2013) · doi:10.1109/pht.2013.6461304 · Cited by 4
“Kinematic sensors such as accelerometers have played an important role in providing such measures [5, 6].”
BackgroundAbeysekera, M. V., Morris, J., & O’Sullivan, A. (2014) · Obstetric Medicine · doi:10.1177/1753495x14528324 · Cited by 4
“In addition, AEE is quantified without the need to measure BMR, and the results obtained have high reproducibility.(22) Accelerometers are also usually small, non-intrusive and portable which increase subject acceptability.”
BackgroundMethodInfluentialExercise Habits and Tobacco Use Among Male Latino Farmworkers
Brumitt, J., Garside, L. I., Reisch, R., Marshall, T., Gilpin, H. E., Kinsey, J., Imondi, K., & Robinson, H. (2013) · Journal of Agromedicine · doi:10.1080/1059924x.2013.766142 · Cited by 4
“) is necessary to follow a cohort of vineyard workers in order to assess occupational physical activity levels.(48) Future investigations should compare exercise and health habits with results from health screening tests (e.”
ResultEvaluation of the Basis Band Fitness Tracker
Desilets, P.-A., & Mahar, M. T. (2016) · International journal of exercise science · doi:10.70252/lbkh4812 · Cited by 4
“Considering the importance of selfmonitoring in promoting physical activity (15) and the need for reliable and valid assessments of physical activity in research settings (2, 6), evaluating popular commercially available activity monitors matters from both physical activity promotion and physical activity research vie…”
BackgroundGriffiths, B., Al-Ajmi, R., Clifton, I., Birch, R. J., Peckham, D. G., & Price, O. J. (2026) · European Respiratory Review · doi:10.1183/16000617.0165-2025 · Cited by 4
“It is important to acknowledge that significant variation in the range of wearable activity monitors employed across the included studies was observed, many of which incorporated device-specific algorithms and data filtering processes, potentially introducing inter-device variability [68].”
Yoo, K.-T. (2023) · Journal of the Korean Society of Physical Medicine · doi:10.13066/kspm.2023.18.3.73 · Cited by 3
Larouche, R., de Oliveira, S. N., Abadi, M. R. H., Benavides-Castro, J. K., Sarmiento, O. L., Angulo-Garay, G., Argumedo, G., Ashaolu, J. O., Baghestani, A., Bhawra, J., et al. (2025) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2025.101074 · Cited by 3
“Although we recognize the impact of topography and/or carrying loads on energy expenditure, we plan to use the Youth Physical Activity Compendium (Butte et al. 44 ) to classify travel modes as sedentary, LPA, and MVPA to minimize the length of the questionnaire.”
Modeling clinically validated physical activity using commodity hardware
Winfree, K. N., & Dominick, G. M. (2017) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2017.7897229 · Cited by 3
Objectively Assessed Physical Activity in the Oldest Old Persons With Coronary Artery Disease
Strauch, S., Hagströmer, M., & Bäck, M. (2018) · Journal of Geriatric Physical Therapy · doi:10.1519/jpt.0000000000000204 · Cited by 3
Wearable Accelerometers in Cancer Patients
Dadhania, S., & Williams, M. (2021) · Intelligent systems reference library · doi:10.1007/978-3-030-83620-7_5 · Cited by 2
Martinez, J., Gordon, T. M., & Strath, S. J. (2021) · doi:10.33696/rehabilitation.3.022 · Cited by 2
“These topics have been reviewed in detail previously [18,21-23].”
BackgroundDafny, H. A., Champion, S., Gebremichael, L. G., Pearson, V., Nesbitt, K., de Plaza, M. A. P., Bulto, L. N., Noonan, S., Hines, S. J., Hendriks, J., et al. (2022) · JBI Evidence Synthesis · doi:10.11124/jbies-22-00011 · Cited by 3
Using Computer Vision to Track Facial Color Changes and Predict Heart Rate
Khanal, S. R., Sampaio, J. E., Exel, J., Barroso, J., & Filipe, V. M. D. J. (2022) · Journal of Imaging · doi:10.3390/jimaging8090245 · Cited by 3
Engineers in Medicine: Foster Innovation by Traversing Boundaries
Mann, M., Qavi, I., Zhang, N., & Tan, G. Z. (2023) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.2023047838 · Cited by 4
Analyse du mouvement dans un contexte clinique
Armand, S., Bonnefoy, A., Sagawa, Y., & Turcot, K. (2013) · Elsevier eBooks · doi:10.1016/b978-2-294-71373-6.00001-4 · Cited by 3
Assessment of the Obese Patient
Bessesen, D. H. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1203-2_12 · Cited by 3
“), ActivPAL (PAL Technologies Ltd) and the RT6 (Stayhealthy) have been used in research settings and have been well validated [ 64 ].”
MethodDębska, M., Mynarski, W., Rozpara, M., & Puciato, D. (2017) · Central European Journal of Sport Sciences and Medicine · doi:10.18276/cej.2017.2-10 · Cited by 3
Assessment of Physical Activity
Demeyer, H., & Watz, H. (2017) · Springer eBooks · doi:10.1007/978-3-319-65888-9_8 · Cited by 3
Wang, Y., & Liu, J. (2019) · International Conference of Educational Innovation through Technology (EITT) · doi:10.1109/eitt.2019.00038 · Cited by 3
“The acceleration sensor and other technical methods can work more accurately and objectively for a real-time monitoring of body activity, activity count, energy consumption, and metabolic equivalent [3 ,4].”
MethodThe assessment of physical activity
Hildebrand, M., & Ekelund, U. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780198757672.003.0021 · Cited by 3
Self-citationEnergy Expenditure and Intake Methods
Westerterp, K. R. (2015) · doi:10.1002/9781119180425.ch12 · Cited by 3
Self-citationBarbee, S. (2017) · doi:10.12794/metadc984165 · Cited by 3
Cichosz, S. L., Bender, C., & Hejlesen, O. K. (2024) · BioMedInformatics · doi:10.3390/biomedinformatics5010001 · Cited by 4
Brusseau, M., Gallet-Suchet, B., Dray, G., Gendrault, S., Harguem, L., & Boiché, J. C. S. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06130-1 · Cited by 2
“The PA data are measured via an accelerometer (Acti-Graph GT3X-BT), which provides a reliable and valid objective measure [51].”
Su, S., Liu, J.-Y., Yu, C. C.-W., Ngai, S. P. C., & Fu, S. N. (2025) · European Review of Aging and Physical Activity · doi:10.1186/s11556-025-00381-y · Cited by 2
“Advances in sensor-based physical activity assessment provide objective, detailed data on activity patterns and intensities, overcoming limitations of self-reported measures [19, 20].”
Herold, F., Giurgiu, M., Ebner‐Priemer, U., Brakenridge, C. J., Hallgren, M. Å., Owen, N. G., & Gronwald, T. (2025) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000377 · Cited by 2
de Wolf, I., Toepoel, V., Kompier, M. E., Mulder, J., van Nassau, F., Schouten, B., Snoeker, B. A. M., Wendel‐Vos, W., & van der Ploeg, H. P. (2025) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2025-0026 · Cited by 2
Welch, W. A. (2012) · Cited by 2
Increasing and Maintaining Exercise-Physical Activity
Luiselli, J. K. (2016) · Evidence-based practices in behavioral health · doi:10.1007/978-3-319-27297-9_4 · Cited by 2
A multidomain trial for cognition in women with cardiovascular disease
Halloway, S., Schoeny, M. E., Arvanitakis, Z., Volgman, A. S., Pressler, S. J., Vispute, S., Wilhelm, K., Borgia, J. A., Wilbur, J., & Barnes, L. L. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70285 · Cited by 2
Chandía-Poblete, D., Cortínez-O’Ryan, A., Ulloa, C., & Aguilar-Farías, N. (2019) · Retos · doi:10.47197/retos.v0i35.65096 · Cited by 3
Shambrook, P., Lander, P., & Maclaren, O. (2018) · International journal of exercise science · doi:10.70252/tstl9551 · Cited by 2
“fit file retrieved directly from the device (FIT); (2) manually recorded data from the Garmin Connect website where the activity information is displayed (GC); and (3) the related .”
MethodModeling energy expenditure in children and adolescents using quantile regression
Yang, Y., Adolph, A. L., Puyau, M. R., Vohra, F. A., Butte, N. F., & Zakeri, I. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00295.2013 · Cited by 2
Self-citationKulik, A., Rosłoniec, E., Madejski, P., Spannbauer, A., Zguczyński, L., Mika, P., & Pilecka, D. (2020) · Journal of Aging and Physical Activity · doi:10.1123/japa.2020-0151 · Cited by 2
Allen, C. L., Montes, E., Hoang, T., Romo, T., Peña, J. F., & Navarro, J. (2023) · Health Communication · doi:10.1080/10410236.2023.2277573 · Cited by 5
“Thus, normal movement patterns can be deduced from upward-downward and forward-backward movement, which also coincide with step frequency, while sideways movement is useful to detect gait abnormalities, such as increased sway (Butte et al., 2012).”
Výzkum orientovaný na pohybovou aktivitu: metodologické ukotvení
Cuberek, R. (2019) · doi:10.5507/ftk.19.24455976 · Cited by 2
Validation and calibration of self-report methods: the Youth Activity Profile
Maduro, P. F. D. S.-M. (2013) · doi:10.31274/etd-180810-3179 · Cited by 2
Sandberg, C. (2016) · DiVA at Umeå University (Umeå University) · Cited by 2
Positive Approaches to Promote and Support Changesin Health Behavior
Lattie, E. G., & Cohen, A. (2020) · doi:10.1002/9781119129530.ch14 · Cited by 2
Limitations of Current Objective Monitors and Opportunities to Overcome These Problems
Tudor‐Locke, C. (2016) · Springer series on epidemiology and public health · doi:10.1007/978-3-319-29577-0_12 · Cited by 1
Campbell, B. I. (2013) · CRC Press eBooks · doi:10.1201/b16045-9 · Cited by 1
Development of an integrated wristband for physical activity and pulse measurement
Xu, L., & Liu, J. (2020) · IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE) · doi:10.1109/iciscae51034.2020.9236796 · Cited by 1
“However, due to its high price, it is often used in small sample academic research, which cannot be popularized and applied in large-scale census and large groups [10][11][12].”
BackgroundMitra, N., & Morshed, B. I. (2023) · IEEE International Conference on Electro Information Technology · doi:10.1109/eit57321.2023.10187382 · Cited by 1
“So far, wearable technology has been mainly used for monitoring a few health-related parameters [2].”
MethodOliva, F. M., Tarasconi, M., Malovini, A. L., Zappa, M., Visca, D., & Zampogna, E. (2024) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2024.1372048 · Cited by 1
Technology to Assess and Intervene on Weight-Related Behaviors with Bariatric Surgery Patients
Thomas, J. G., & Bond, D. S. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1197-4_7 · Cited by 1
“Accelerometers are a well-established tool for objectively monitoring physical activity [ 9 ].”
MethodLabrador, R. M. S. (2015) · Sportis Scientific Journal of School Sport Physical Education and Psychomotricity · doi:10.17979/sportis.2015.1.3.1421 · Cited by 1
Behavior analysis program to improve habits of physical activity, eating, and sleeping
Salazar, M., & Noe, I. (2015) · Cited by 1
Self-Report and Contemporaneously Recorded Running Agreement in Recreational Athletes
Leech, R. D., Grunseit, A. C., & Edwards, K. (2020) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003759 · Cited by 1
“One study including 100 athletes tested the level of agreement between self-reported running distance and GPS running distance.”
BackgroundInfluentialEffects of the FTO gene and environment on obesity in European children
Koni, A. C. (2013) · Enlighten: Theses (The University of Glasgow) · Cited by 1
Western, M. J. (2016) · The University of Bath Online Publications Store (The University of Bath) · Cited by 1
Desilets, E. R. (2015) · Mspace (University of Manitoba) · Cited by 1
Physical Activity in Adolescents with respect to Movement Quality and Quantity
Weedon, B. D. (2020) · Radar (Oxford Brookes University) · doi:10.24384/381r-t238 · Cited by 1
Assessment of the Obese Patient
Bessesen, D. H. (2014) · Springer eBooks · doi:10.1007/978-1-4939-2311-3_12 · Cited by 1
Leslie, J. J. (2022) · PDXScholar (Portland State University) · doi:10.15760/etd.7909 · Cited by 1
Alternate Day Fasting with a High Fat Versus Low Fat Diet for Weight Loss and Cardio-Protection
Klempel, M. C. (2013) · Figshare
Physical activity, body mass index and prostate cancer : studies of risk, progression and mortality
Bonn, S. E. (2015) · Figshare
Kirschner, M. M. (2012) · Cardinal Scholar (Ball State University)
Short- and long-term effects of a multi-component physical activity intervention in primary school
Meyer, U. (2012) · edoc (University of Basel) · doi:10.5451/unibas-006077544
Colpani, V., Mara, P., Lodi, P., Dorigo, G. G., Albuquerque, I., Hahn, L. B., Palludo, L. P., Pietroski, R. L., & Oppermann, K. (2014)
La dépense énergétique liée à l'activité physique et à la composition corporelle chez les jeunes
Vial, A.-J. (2013) · reroDoc Digital Library
ASSOCIAÇÃO ENTRE O AMBIENTE PERCEBIDO E ATIVIDADE FÍSICA EM ADULTOS DE CURITIBA-PR
Gonçalves, P. B. (2012) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Physical activity in Swedish and Chinese young children and their parents
Johansson, E. (2015) · Figshare
da Silva, J. M. C. (2013) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/cth4-h086
Martínez-Salazar, I. N., & Acevedo-Stefanoni, E. (2015) · Dialnet (Universidad de la Rioja)
Cañada, F. C., Torres‐Luque, G., Fernández, I. L., & Carnero, E. Á. (2014)
Metadata
- Authors
- BUTTE, N. F., EKELUND, U., & WESTERTERP, K. R.
- Affiliations
- Agricultural Research Service (US)
- University of Cambridge (GB)
- Maastricht University (NL)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2012-01
- Volume
- 44
- Issue
- 1S
- Pages
- S5-S12
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2329242152
- Cited by
- 359
- References
- 51
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 14 · 2023: 14 · 2022: 14 · 2021: 16 · 2020: 29 · 2019: 23 · 2018: 26 · 2017: 39 · 2016: 38 · 2015: 32 · 2014: 39 · 2013: 29 · 2012: 16
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- 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
- physical activity measurement, wearable monitors, accelerometer, pedometers, heart rate monitors, energy expenditure, physical activity classification, sensor validation, doubly labeled water, calorimetry
- MeSH terms
- Energy Metabolism, Humans, Motor Activity, Exercise, Monitoring, Ambulatory
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