Generating ActiGraph counts from raw acceleration recorded by an alternative monitor.

The Measurement of Observer Agreement for Categorical Data

Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148

STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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Akufo and Ibarapa

Beckett, A. H., Rowland, M., & TURNER, P. (1965) · The Lancet · doi:10.1016/s0140-6736(65)91037-8 · Cited by 16,917

Calibration of the Computer Science and Applications, Inc. accelerometer

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Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review

Lee, P. H., Macfarlane, D. J., Lam, T., & Stewart, S. M. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-115 · Cited by 3,370

Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study)

Andersen, L. B., Harro, M., Sardinha, L. B., Froberg, K., Ekelund, U., Brage, S., & Anderssen, S. A. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69075-2 · Cited by 1,518

Measurement of Observer Agreement

Kundel, H. L., & Polansky, M. (2003) · Radiology · doi:10.1148/radiol.2282011860 · Cited by 1,486

A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity

Bouten, C. V. C., Koekkoek, K. K., Verduin, M., Kodde, R., & Janssen, J. J. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.554760 · Cited by 911

Physical Activity Questionnaires for Adults

van Poppel, M. N. M., Chinapaw, M. J. M., Mokkink, L. B., van Mechelen, W., & Terwee, C. B. (2010) · Sports Medicine · doi:10.2165/11531930-000000000-00000 · Cited by 718

Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents

van Hees, V. T., Fang, Z., Langford, J., Assah, F. K., Mohammad, A., Crochemore‐Silva, I., Trenell, M. I., White, T., Wareham, N. J., & Brage, S. (2014) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00421.2014 · Cited by 708

Sedentary activity, sedentary bouts, and patterns of total daily sedentary activity, and their relationship with stress and well-being in individuals with diabetes and prediabetes: The Lolland-Falster Health Study

Mortensen, S. R., Grøntved, A., Brønd, J. C., Ried‐Larsen, M., Petersen, T. L., Jørgensen, L. B., Jepsen, R., Tang, L. H., & Skou, S. T. (2024) · Mental health and physical activity · doi:10.1016/j.mhpa.2024.100588 · Cited by 6

Energy expenditure estimation during activities of daily living in middle-aged and older adults using an accelerometer integrated into a hearing aid

Stutz, J., Eichenberger, P. A., Stumpf, N. F., Knobel, S. E. J., Herbert, N. C., Hirzel, I., Huber, S., Oetiker, C., Urry, E., Lambercy, O., et al. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1400535 · Cited by 5

Automated classification of sleep and wake from single day triaxial accelerometer data

Subramanian, S., & Coleman, T. P. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871823 · Cited by 4

CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling

Richer, R., Abel, L., Küderle, A., Eskofier, B. M., & Rohleder, N. (2023) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2023.106073 · Cited by 4

Accelerometer Thresholds for Estimating Physical Activity Intensity Levels in Infants: A Preliminary Study

Ghazi, M. A., Zhou, J., Havens, K. L., & Smith, B. A. (2024) · Sensors · doi:10.3390/s24144436 · Cited by 4

Effectiveness of a Preschool Motor Skill Intervention on Body Mass Index and Movement Behavior: 6-, 18-, and 30-Month Findings From a Cluster Randomized Controlled Trial

Olesen, L. G., Grøntved, A., Brønd, J. C., Hestbæk, L., & Kristensen, P. L. (2024) · Pediatric Exercise Science · doi:10.1123/pes.2023-0082 · Cited by 3

Responses of several measures to different intensity levels of upper limb exergames in children with neurological diagnoses: a pilot study

Goikoetxea-Sotelo, G., & van Hedel, H. J. A. (2024) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2024.1405304 · Cited by 3

Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement

Richer, R., Küderle, A., Dorr, J., Rohleder, N., & Eskofier, B. M. (2021) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi50953.2021.9508529 · 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

Comparison of Child and Adolescent Physical Activity Levels From Open-Source Versus ActiGraph Counts

Clevenger, K. A., Mackintosh, K. A., McNarry, M. A., Pfeiffer, K. A., Montoye, A. H. K., & Brønd, J. C. (2022) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2021-0057 · Cited by 3

Commuting to University: Self-Reported and Device-Measured Physical Activity and Sedentary Behaviour

Palma-Leal, X., Chillón, P., Segura‐Jiménez, V., Pérez‐Bey, A., Sánchez‐Delgado, A., & Camiletti‐Moirón, D. (2022) · Sustainability · doi:10.3390/su142214818 · Cited by 3

Acceptability of wearable inertial sensors, completeness of data, and day-to-day variability of everyday life motor activities in children and adolescents with neuromotor impairments

Rast, F. M., Herren, S., & Labruyère, R. (2022) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2022.923328 · Cited by 3

Comparability of 24-hr Activity Cycle Outputs From ActiGraph Counts Generated in ActiLife and RStudio

Montoye, A. H. K., Clevenger, K. A., Boudreaux, B. D., & Schmidt, M. D. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0047 · Cited by 3

Activity Tracking Using Ear-Level Accelerometers

Skoglund, M. A., Balzi, G., Jensen, E. L., Bhuiyan, T. A., & Rotger-Griful, S. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.724714 · Cited by 3

Sociodemographic factors, parental mental health and movement behaviours in the early years: the SUNRISE Finland study protocol

Engberg, E., Ojala, A., Paasio, H., Lahti, J. M. T., Koski, P., Vehviläinen-Julkunen, K. M., Korpelainen, R., Puhakka, S., Okely, A. D., & Roos, E. (2024) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-023-00042-4 · Cited by 5

Algorithm Validation for Quantifying ActiGraph™ Physical Activity Metrics in Individuals with Chronic Low Back Pain and Healthy Controls

Hoydick, J. F., Johnson, M. E., Cook, H. A., Alfikri, Z. F., Jakicic, J. M., Piva, S. R., Chambers, A. J., & Bell, K. M. (2024) · Sensors · doi:10.3390/s24165323 · Cited by 2

Semi-Automated Processing of Harmonized Accelerometer and GPS Data in R: AGPSR

Tintle, N., Tu, J., Luong, A., Min, S., Kershaw, K. N., & Bronas, U. G. (2025) · Sensors · doi:10.3390/s25133883 · Cited by 2

Use of Accelerometers to Monitor Motor Activity During HABIT-ILE for Chronic Stroke: An Exploratory Study

Somville, M., Rosselli, Z., Ducoffre, E., Penta, M., Smeesters, T., Bleyenheuft, Y., & Saussez, G. (2025) · Sensors · doi:10.3390/s25216656 · Cited by 2

Comparative Analysis and Conversion Between Actiwatch and ActiGraph Open-Source Counts

Lee, P. H., Neishabouri, A., Tse, A. C. Y., & Guo, C. C. (2023) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2022-0054 · Cited by 2

Upper limb sensorimotor recovery in Asian stroke survivors: a study protocol for the development and implementation of a Technology-Assisted dIgitaL biOmaRker (TAILOR) platform

Cheng, H.-J., Chin, L. F., Kanzler, C. M., Lehner, R., Kuah, C. W. K., Kager, S., Josse, E., Samkharadze, T., Sidarta, A., González, P. C., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1246888 · Cited by 2

Reactions From the Experts: Implications of Open-Source ActiGraph Counts for Analyzing Accelerometer Data

Montoye, A. H. K., LaMunion, S. R., Brønd, J. C., & Clevenger, K. A. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0057 · Cited by 2

Shaking Up Activity Counts: Assessing the Comparability of Accelerometers and Activity Count Computation

Coyle-Asbil, H. J., Murphy, B. A., & Vallis, L. A. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0058 · Cited by 2

Circadian rhythms and objective measures of physical activity among middle-aged and older adults in Taiwan

Hu, J.-C., Hou, S., Shea, J. L., Tang, H.-H., Liang, S.-F., Hsu, Y.-C., & Chiu, C. (2024) · Experimental Gerontology · doi:10.1016/j.exger.2024.112616 · Cited by 2

Responses of candidate intensity measures to different mental and motor load levels using upper limb exergames in typically developing children and adolescents

Goikoetxea-Sotelo, G., Rätzo, L., & van Hedel, H. J. A. (2025) · PLoS ONE · doi:10.1371/journal.pone.0326371 · Cited by 2

The middle-aged and older Chinese adults’ health using actigraphy in Taiwan (MOCHA-T): protocol for a multidimensional dataset of health and lifestyle

Chiu, C., Hou, S., Wang, C., Tang, H.-H., Kuo, P.-C., Liang, S., & Kuo, P.-F. (2024) · BMC Public Health · doi:10.1186/s12889-023-17552-0 · Cited by 2

Optimizing Digital Health Metrics to Quantify Functional Upper Limb Movements with Inertial Measurement Units

Josse, E., Gaultier, P.-L., Kager, S., Cheng, H.-J., Gassert, R., & Lambercy, O. (2024) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob60516.2024.10719778 · Cited by 2

Wear and use of prostheses in sport by adolescents with upper limb absence: A preliminary mixed-methods study

Chinn, N., Kenney, L. P. J., Chadwell, A., Williams, A. E., & Head, J. S. (2024) · Prosthetics and Orthotics International · doi:10.1097/pxr.0000000000000394 · Cited by 1

Physical activity and albuminuria in individuals recently diagnosed with type 2 diabetes

Norlén, T., Olesen, T. B., Domazet, S. L., Nielsen, J. S., Brønd, J. C., Olsen, M. H., Højlund, K., & Stidsen, J. V. (2025) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2025.109065 · Cited by 1

Device‐Based Physical Activity and Low‐Grade Inflammation in People With Multimorbidity: Cross‐Sectional Baseline Analysis From the MOBILIZE Trial

Bricca, A., Legaard, G. E., Mortensen, S. R., Brønd, J. C., Gæde, P., & Skou, S. T. (2025) · European Journal of Sport Science · doi:10.1002/ejsc.70005 · Cited by 1

From motion to metabolism: investigating the relationship between accelerometer and VO 2 metrics across five age groups for optimal calibration of physical activity intensity

Skovdahl, P., Fridolfsson, J., Abed, I., Börjesson, M., & Arvidsson, D. (2025) · Physiological Measurement · doi:10.1088/1361-6579/ae008e · Cited by 1

Compositional analysis of the associations between 24-hour movement behaviours, motor skills, and executive function in Mongolian preschool children

Byambaa, A., Chong, K. H., Jones, R. A., & Okely, A. D. (2025) · Journal of Sports Sciences · doi:10.1080/02640414.2025.2574192 · Cited by 3

Challenges of Assessing Fluctuations in Actigraphic Acceleration Data Under Sleep and Wakefulness

Maczák, B., Horváth, C. G., Rozner, B., Kim, S., Bódizs, R., & Vadai, G. (2025) · Fluctuation and Noise Letters · doi:10.1142/s0219477525400231 · Cited by 2

Validation and comparative study of the Motus system for accurately identifying movement behaviours using different sampling frequencies

Ludvigsen, T. P., Hørlück, S. A. S., Larsen, J. R., Lund, C. B., Hettiarachchi, P., Brandt, M., & Gupta, N. (2025) · Scientific Reports · doi:10.1038/s41598-025-26373-7 · Cited by 1

Discussion on “INTACT: a method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Fuller, D., & Stanley, K. G. (2026) · Biometrics · doi:10.1093/biomtc/ujag114 · Cited by 1

Predictors of Physical Activity Levels in Ambulant/Semiambulant Children and Adolescents With Cerebral Palsy: A Clinical Cohort Study

Fonvig, C. E., Troelsen, J., Brønd, J. C., Möller, S., & Holsgaard‐Larsen, A. (2023) · Adapted Physical Activity Quarterly · doi:10.1123/apaq.2022-0169 · Cited by 1

Time-dependent complexity characterisation of activity patterns in patients with Chronic Fatigue Syndrome

Rabaey, P., Decat, P., Heytens, S., Vogelaers, D., Mariman, A., & Demeester, T. (2024) · BioPsychoSocial Medicine · doi:10.1186/s13030-024-00305-9 · Cited by 1

British Association of Sport and Exercise Sciences abstracts

NEEDHAM, R., ROBSON, J., SAYWER, D., BODDEN, J., CARTER, R., & WALKER, P. (2024) · Journal of Sports Sciences · doi:10.1080/02640414.2024.2419272 · Cited by 1

Good and Regular Sleep is Associated with Better Academic Performance in College Students: An Actiwatch Study

Lin, C.-T., Shaw, F., & Liang, S. (2025) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-86323-3_33 · Cited by 1

Inhibitory neurotransmission in frontostriatal circuitry: implications for psychomotor and vegetative symptoms in depressive episodes

Steinholtz, L., Persson, J., Thörnblom, E., Wall, A. E., Lubberink, M., Fällmar, D., & Bodén, R. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-08573-1 · Cited by 1

TOPS – a randomized controlled trial of exercise and education to prevent recurrence of low back pain: statistical analysis plan

Ferreira, G. E., Lin, C. C., Stevens, M. L., Hancock, M. J., Latimer, J., Wisbey-Roth, T., & Maher, C. G. (2020) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2020.05.001 · Cited by 1

Preliminary Development of a Wearable Device to Help Children with Unilateral Cerebral Palsy Increase Their Consciousness of Their Upper ExtremityPreprint

Clouâtre, J., Campeau‐Lecours, A., & Flamand, V. H. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.06082 · Cited by 1

Mapping Raw Acceleration Data on ActiGraph Counts

Martín-González, E., de Luis-Garcı́a, R., Casaseca, J. P., Garmendia-Leiza, J. R., Andrés-de-LLano, J., & Alberola‐López, C. (2018) · Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21) · doi:10.1145/3284179.3284260

Psychoaccelerometry: Mapping psychological constructs to movement in experimental researchPreprint

Clark, O. J. (2023) · doi:10.31234/osf.io/aezmy

Validation of physical activity levels from shank-placed Axivity AX6 accelerometersPreprint

Gafoor, F., Ruder, M. C., & Kobsar, D. (2023) · medRxiv · doi:10.1101/2023.08.19.23294309

Additional file 1 of The use of coping strategies “shift-persist” mediates associations between physical activity and mental health problems in adolescents: a cross-sectional study

Dahlstrand, J., Friberg, P., Fridolfsson, J., Börjesson, M., Arvidsson, D., Ekblom, Ö. B., & Chen, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14759348

The Effect of Prebedtime Behaviors on Sleep Duration and Quality in Children: Protocol for a Randomized Crossover Trial

Jackson, R., Gu, C., Haszard, J. J., Meredith-Jones, K. A., Galland, B. C., Camp, J., Brown, D. A., & Taylor, R. W. (2024) · JMIR Research Protocols · doi:10.2196/63692

Association of digital screen use during recess with physical activity behaviours in 10-year-old to 17-year-old Danish adolescents: a population-based cross-sectional study

Grøntved, A., Kristensen, P. L., Brønd, J. C., Gejl, A. K., Møller, N. C., Larsen, K. T., Koch, S., Troelsen, J., Brage, S., & Pedersen, N. H. (2025) · BMJ Public Health · doi:10.1136/bmjph-2024-001150

activityCounts: Generate ActiLife Counts

Brondeel, R., Anaraki, J. R., Fuller, D., & Khataeipour, S. J. (2019) · doi:10.32614/cran.package.activitycounts

Are physical activity, sleep, and joint pain associated with physical function and quality of life in individuals with multimorbidity? A cross-sectional analysis of the MOBILIZE trial

Haber, T. S. W., Bricca, A., Hall, M. C., Brønd, J. C., Thygesen, L. C., & Skou, S. T. (2025) · Quality of Life Research · doi:10.1007/s11136-025-04044-4 · Cited by 1

Association of Device‐Measured Habitual Sedentary Activity and Standing Posture With Blood Pressure and Hypertension in Danish Adults: The Lolland‐Falster Health Study

Mortensen, S. R., Brønd, J. C., Petersen, T. L., Jepsen, R., Domínguez‐Navarro, F., Skou, S. T., & Grøntved, A. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.039133

Responses and reliability of candidate intensity measures to different mental and motor load levels of an upper limb exergame in children and adolescents with neurological diagnoses

Goikoetxea-Sotelo, G., & van Hedel, H. J. A. (2025) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2025.1641003 · Cited by 1

Additional file 1 of Short-term efficacy of reducing screen media use on physical activity, sleep, and physiological stress in families with children aged 4–14: study protocol for the SCREENS randomized controlled trial

Rasmussen, M. G. B., Pedersen, J., Olesen, L. G., Brage, S., Klakk, H., Kristensen, P. L., Brønd, J. C., & Grøntved, A. (2020) · Figshare · doi:10.6084/m9.figshare.12023577

Additional file 3 of Efficacy and mechanisms of an education outside the classroom intervention on pupils’ health and education: the MOVEOUT study protocol

Bølling, M., Mygind, L., Elsborg, P., Melby, P. S., Barfod, K. S., Brønd, J. C., Klinker, C. D., Nielsen, G., & Bentsen, P. (2023) · Figshare · doi:10.6084/m9.figshare.24165079

Additional file 1 of Sociodemographic differences in 24-hour time-use behaviours in New Zealand children

Hedayatrad, L., Stewart, T., Paine, S.-J., Marks, E. J., Walker, C., & Duncan, S. (2022) · Figshare · doi:10.6084/m9.figshare.21275723

Additional file 2 of Efficacy and mechanisms of an education outside the classroom intervention on pupils’ health and education: the MOVEOUT study protocol

Bølling, M., Mygind, L., Elsborg, P., Melby, P. S., Barfod, K. S., Brønd, J. C., Klinker, C. D., Nielsen, G., & Bentsen, P. (2023) · Figshare · doi:10.6084/m9.figshare.24165076

Additional file 4 of Efficacy and mechanisms of an education outside the classroom intervention on pupils’ health and education: the MOVEOUT study protocol

Bølling, M., Mygind, L., Elsborg, P., Melby, P. S., Barfod, K. S., Brønd, J. C., Klinker, C. D., Nielsen, G., & Bentsen, P. (2023) · Figshare · doi:10.6084/m9.figshare.24165082

Additional file 1 of Efficacy and mechanisms of an education outside the classroom intervention on pupils’ health and education: the MOVEOUT study protocol

Bølling, M., Mygind, L., Elsborg, P., Melby, P. S., Barfod, K. S., Brønd, J. C., Klinker, C. D., Nielsen, G., & Bentsen, P. (2023) · Figshare · doi:10.6084/m9.figshare.24165073

Additional file 1 of High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

Fridolfsson, J., Buck, C., Hunsberger, M., Baran, J., Lauria, F., Molnar, D., Moreno, L. A., Börjesson, M., Lissner, L., & Arvidsson, D. (2021) · Figshare · doi:10.6084/m9.figshare.14921055

Additional file 2 of Sociodemographic differences in 24-hour time-use behaviours in New Zealand children

Hedayatrad, L., Stewart, T., Paine, S.-J., Marks, E. J., Walker, C., & Duncan, S. (2022) · Figshare · doi:10.6084/m9.figshare.21275726

Additional file 2 of Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities

Firth, C. L., Kestens, Y., Winters, M., Stanley, K. G., Bell, S., Thierry, B., Phillips, K., Stephens, Z. P., & Fuller, D. (2022) · Figshare · doi:10.6084/m9.figshare.20267420

Additional file 1 of Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities

Firth, C. L., Kestens, Y., Winters, M., Stanley, K., Bell, S., Thierry, B., Phillips, K., Stephens, Z. P., & Fuller, D. (2022) · Figshare · doi:10.6084/m9.figshare.20267417

Cleaning and pre-processing of actigraphy data for physical activity and sleep research: a scoping review

Gonsalves, S. G., Zhao, J. J., Livinski, A. A., Steele, M. E., Ross, A., Fuss, T., Clevenger, K. A., & Saligan, L. N. (2026) · Physiological Measurement · doi:10.1088/1361-6579/ae3b96

Investigating the Compliance With the 24‐h Movement Behaviours Guidelines in Preschoolers: Insights From the SUNRISE Pilot Study in Portugal

Amaral, R., Lemos, L., Chong, K. H., Roxo, L., Silva, W., Pessoa, M. L. F., Passos, E., Lopes, W. D. Z., Okely, A. D., Mota, J. V. R., et al. (2026) · Child Care Health and Development · doi:10.1111/cch.70255

Apport de la reconnaissance des postures et des activités par accélérométrie à la caractérisation du comportement de mouvement chez l’humain : application à l’étude de la transition épidémiologique chez les Peuls

Garnotel, M. (2019) · theses.fr (ABES) · doi:10.70675/549cbe00z8e96z4c64z80d2za992673734e9

Relationships between urban environment, physical activity and health

Debache, I. (2020) · theses.fr (ABES) · doi:10.70675/60bc4052z756cz494cz9fb5z8d35779483c2

Physical activity during education outside the classroom and its associations with pupils’ psychological need satisfaction and intrinsic school motivation: A cross-sectional study

Larsen, S. R., Mikkelsen, S., Müllertz, A. L. O., Aaskilde-Schneider, J., Nielsen, G., Mygind, L., Bentsen, P., Aadahl, M., Elsborg, P., & Bølling, M. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103028

Self-Reported Dietary Attentiveness to Fruit and Vegetable Intake and Actigraphy-Measured Sleep Efficiency in Middle-Aged and Older Women: A Cross-Sectional Study

Chen, C., Tang, H.-H., Lai, I., Lee, Y.-C., Hou, S., & Chiu, C. (2026) · Nutrients · doi:10.3390/nu18122027

Prevalence and correlates of 24-hour movement behaviors among Thai preschoolers

Limsiri, P., Widyastari, D. A., Aunampai, A., Somta, S., Katewongsa, P., & Okely, A. D. (2026) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2026.200493

actiRhythm: Circadian Rest-Activity Rhythm Analysis

Azadda, R. D., CEAL Team, & Rasmus, S. (2026) · doi:10.32614/cran.package.actirhythm

From Raw Acceleration Data to Activity Count

Rao, Z., & Albinali, F. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000487359.02777.91 · Cited by 1

Exploring the ActiLife®filtration algorithm: converting raw acceleration data to counts

Peach, D., Hoomissen, J. V., & Callender, H. L. (2014) · Physiological Measurement · doi:10.1088/0967-3334/35/12/2359 · Cited by 30

Shaking Up Activity Counts: Assessing the Comparability of Accelerometers and Activity Count Computation

Coyle-Asbil, H. J., Murphy, B. A., & Vallis, L. A. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0058 · Cited by 2

A Walkthrough of ActiGraph Counts

Neishabouri, A., Nguyen, J., Patterson, M., Pilkar, R. B., & Guo, C. C. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0048 · Cited by 3

Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts

Brønd, J. C., & Arvidsson, D. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00628.2015 · Cited by 148