ReviewSports medicine (Auckland, N.Z.)2017
A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans.
Review in Sports medicine (Auckland, N.Z.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Physical activity measurement tools among college students in intervention studies: A systematic review.PloS one · 2025Pooled it
- Advances in accelerometry for cardiovascular patients: a systematic review with practical recommendations.ESC heart failure · 2020Pooled it
- Twenty-Four-Hour Compositional Data Analysis in Healthcare: Clinical Potential and Future Directions.International journal of environmental research and public health · 2025Article
- Vision-based multimodal energy expenditure estimation for aerobic exercise in adults.Frontiers in physiology · 2025Article
- Machine learning in physical activity, sedentary, and sleep behavior research.Journal of activity, sedentary and sleep behaviors · 2024Review
- Accelerometer-measured intensity-specific physical activity, genetic risk and incident type 2 diabetes: a prospective cohort study.British journal of sports medicine · 2023Article
- Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke.Frontiers in physiology · 2022Article
- Sedentary behavior moderates the relationship between physical activity and cardiometabolic risk in young Latino children.Translational behavioral medicine · 2021Article
- Development of a School-Based Physical Activity Intervention Using an Integrated Approach: Project SMART.Frontiers in psychology · 2021Article
- A Narrative Review of Motor Competence in Children and Adolescents: What We Know and What We Need to Find Out.International journal of environmental research and public health · 2020Review
- Longitudinal associations between physical activity, anxiety, and depression in adults with long-term physical disabilities.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020Article
- Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors.Scientific reports · 2020Article
- Identifying non-specific low back pain clinical subgroups from sitting and standing repositioning posture tasks using a novel Cardiff Dempster-Shafer Theory Classifier.Clinical biomechanics (Bristol, Avon) · 2019Article
- The Key Factors in Physical Activity Type Detection Using Real-Life Data: A Systematic Review.Frontiers in physiology · 2019Article
- Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0.Sensors (Basel, Switzerland) · 2018Article
- The Need for Local, Multidisciplinary Collaborations to Promote Advances in Physical Activity Research and Policy Change: The Creation of the Boston Physical Activity Resource Collaborative (BPARC).Journal of physical activity research · 2018Article
- Measurement of Physical Activity and Energy Expenditure in Wheelchair Users: Methods, Considerations and Future Directions.Sports medicine - open · 2017Review
- Quantitative Analysis of Motor Status in Parkinson's Disease Using Wearable Devices: From Methodological Considerations to Problems in Clinical Applications.Parkinson's disease · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physical inactivity is one of the most prevalent risk factors for non-communicable diseases in the world. A fundamental barrier to enhancing physical activity levels and decreasing sedentary behavior is limited by our understanding of associated measurement and analytical techniques. The number of analytical techniques for physical activity measurement has grown significantly, and although emerging techniques may advance analyses, little consensus is presently available and further synthesis is therefore required. The objective of this review was to identify the accuracy of emerging analytical techniques used for physical activity measurement in humans. We conducted a search of electronic databases using Web of Science, PubMed, and Google Scholar. This review included studies written in English and published between January 2010 and December 2014 that assessed physical activity using emerging analytical techniques and reported technique accuracy. A total of 2064 papers were initially retrieved from three databases. After duplicates were removed and remaining articles screened, 50 full-text articles were reviewed, resulting in the inclusion of 11 articles that met the eligibility criteria. Despite the diverse nature and the range in accuracy associated with some of the analytic techniques, the rapid development of analytics has demonstrated that more sensitive information about physical activity may be attained. However, further refinement of these techniques is needed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.