
Academic Journal
Q2Journal for the Measurement of Physical Behaviour
About Journal for the Measurement of Physical Behaviour
Journal for the Measurement of Physical Behaviour is a scholarly journal published by Human Kinetics Publishers Inc.. SCImago 2025 lists it in Q2, with an SJR of 0.565 and H-index of 19.
Coverage: 2019-2026. Research categories: Computer Science (miscellaneous) (Q2); Engineering (miscellaneous) (Q2); Psychology (miscellaneous) (Q2); Public Health, Environmental and Occupational Health (Q2); Statistics, Probability and Uncertainty (Q2).
Source-backed journal facts
Topics in published research
Physical Activity and Health; Obesity, Physical Activity, Diet; Cardiovascular and exercise physiology; Balance, Gait, and Falls Prevention; Mobile Health and mHealth Applications; Context-Aware Activity Recognition Systems.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Beyond Cut-Points: The Added Value of Advanced Statistical Approaches in Investigating the Association Between the Activity Intensity Distribution and Body Mass Index Across the Lifespan
Jaime López García, Ian Meneghel Danilevicz, Nicolas Berger, Bjorge Herman Hansen et al.
2026-01-01 · DOI: 10.1123/jmpb.2026-0013Minimum Upright Period Selection in ActivPAL: Effects on Sit-to-Stand Detection and Reproducibility in Healthy Young Men
Mitsutaka Shibuya, Kazuhiro Harada, Haruo Uguisu, Kenichi Hirashima et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0051Research for Equitable Health Outcomes: A Call for Diverse Participant Samples in Wearable Device Harmonization and Standardization Approaches
Julia K. Baumgart, Hannah J. Coyle-Asbil, Michael Kebede, Melissa Otterbein et al.
2026-01-01 · DOI: 10.1123/jmpb.2026-0021The Promise of Foundational Large Language Models in Analysis and Interpretation of Wearable Data: Implications for Physical Behavior Research
Vahid Farrahi
2026-01-01 · DOI: 10.1123/jmpb.2025-0066Real-Time Versus Video-Recorded Step Count Validation Among Young Adults
Sicong Ren, Mariya Boikova, Cayla R. McAvoy, Agnes Bucko et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0035Daily Stepping Behavior of Healthy Middle- to Older-Aged Adults: Insights for Step-Based Activity Goals
Kate Lyden, Craig Speirs, Malcolm H. Granat, Alexandra M. Clarke-Cornwell et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0060Designing and Conducting an Activity Monitor Validation Study: A Scoping Review of Current Frameworks and Recommendations
Jasmine E. Allain, Emily E. MacDonald, Jocelyn Waghorn, Myles W. O’Brien et al.
2026-01-01 · DOI: 10.1123/jmpb.2026-0018The PhasED Framework: A Measurement Theory-Based Approach to Algorithm Development and Evaluation
Sarah Kozey Keadle, Scott J. Strath, Marco Giurgiu, Daniel Fuller et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0074Erratum. Two Decades of Physical Activity Classification Algorithms: An Artificial Intelligence-Assisted Systematic Review by the LABDA Consortium
Journal for the Measurement of Phys
2026-01-01 · DOI: 10.1123/jmpb.2026-0067Addressing Missing Data in Accelerometer Studies: Evaluating the Performance of Imputation Methods for Longitudinal Data
Noemi Berliner, Maik Bieleke, Julia Schüler, Fridtjof W. Nussbeck et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0018Validating the Longitudinal Assessment of Sedentary Behavior in a Randomized Controlled Trial via a Deep-Learning Algorithm
Jasmine Morales, Rong W. Zablocki, Sheri J. Hartman, Arun Kumar et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0086Comparison of SENS and Axivity Accelerometers for Measurement of Postures and Movements in Children
Charlotte Lund Rasmussen, Danica Hendry, Amber Beynon, Sarah Stearne et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0078Movement Intensities Across Screen and Nonscreen-Based Contexts in Children: A Proof-of-Concept Study Using Wearable Cameras and Accelerometers
Johanna Hänggi, Wolfgang Taube, Efstathios Christodoulides, Simon Spinnler et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0053Analysis of Accelerometer Data With Nonvalid Days Using Pattern-Mixture Mixed-Effects Models
Xingruo Zhang, Juned Siddique, Bonnie Spring, Donald Hedeker et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0079A Harmonized Intensity-Gradient Framework for 24-Hr Movement Interpretation Across Raw Acceleration Summary Metrics
Jimmy Duhamahoro, Paul R. Hibbing, Emily Berg, Gregory J. Welk et al.
2026-01-01 · DOI: 10.1123/jmpb.2026-0001Two Decades of Physical Activity Classification Algorithms: An Artificial Intelligence-Assisted Systematic Review by the LABDA Consortium
Amin Rezaei, Morten Kjærgaard, Jasper Schipperijn
2026-01-01 · DOI: 10.1123/jmpb.2025-0070Do Movement Summary Metrics Produce Comparable Outputs Across Different Accelerometer Brands in Free Living?
Jimmy Duhamahoro, Paul R. Hibbing, Nicholas R. Lamoureux, Emily Berg et al.
2026-01-01 · DOI: 10.1123/jmpb.2025-0024iPlayer: An Open-Source Tool for Time-Windowed Video Annotation of Human Physical Activity and Behavior
Elyse Letts, Damien Masson, Joyce Obeid
2026-01-01 · DOI: 10.1123/jmpb.2025-0040Comparison of Deep Learning, Traditional Machine Learning, and Decision Tree Models for Activity Recognition in Children From Thigh-Worn Accelerometer Data
Andrew L. Rohl, Uno Fang, Charlotte Lund Rasmussen, Danica Hendry et al.
2026-01-01 · DOI: 10.1123/jmpb.2026-0009A Systematic Review and Taxonomy of Metrics and Methods Used to Describe Temporal Movement Behavior Patterns Measured Using Wearable Devices
Elsa Kobeissi, Paddy Dempsey, Abdulwahab Alshallal, Kirsten L. Rennie et al.
2026-01-01 · DOI: 10.1123/jmpb.2024-0035Reviews
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Version History
October 2, 2026 at 9:18 pm
October 2, 2026