Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 13, 2026

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
08:45

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

Towards integrated physical activity profiling.

Dylan Thompson1, Alan M Batterham

  • 1Department for Health, University of Bath, Bath, United Kingdom. d.thompson@bath.ac.uk

Plos One
|February 26, 2013
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Energy requirements: the case for the factorial model.

The American journal of clinical nutrition·2026
Same author

Assessing the impact of combined nutritional and physical activity interventions for patients with atrial fibrillation who are overweight: a systematic review protocol.

BMJ open·2026
Same author

DNA methylation-mediated memory of obesity in CD4 T lymphocytes perpetuates immune dysregulation.

EMBO reports·2026
Same author

How long should washout be to reliably measure hepatic de novo lipogenesis using deuterated water? Exploratory analysis from a randomized crossover trial.

American journal of physiology. Endocrinology and metabolism·2026
Same author

The effects of short-term dietary calorie restriction combined with aerobic exercise on systemic inflammation in overweight or obese individuals with knee osteoarthritis: a randomised controlled trial.

Musculoskeletal science & practice·2026
Same author

Impact of invasive coronary function testing on management of ANOCA patients and secondary care resource utilisation: insights from a multicentre retrospective study in the UK.

Open heart·2026
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Physical activity is complex and varies greatly between individuals. This study shows that high performance in one area, like moderate exercise, doesn't guarantee good or bad performance in others, such as sedentary time.

Area of Science:

  • Exercise Physiology
  • Human Movement Science
  • Biomedical Engineering

Background:

  • Current understanding of physical activity is often simplified, lacking multidimensional assessment.
  • Empirical data on the heterogeneity of physical activity behaviors is limited.
  • Technological advancements allow for detailed, minute-by-minute physical activity monitoring.

Purpose of the Study:

  • To investigate the heterogeneity of physical activity dimensions in men.
  • To determine if high performance in one physical activity metric predicts performance in others.
  • To explore the utility of multidimensional physical activity profiling.

Main Methods:

  • Minute-by-minute physical activity energy expenditure was measured over 7 days in 100 men.

More Related Videos

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Physical Activity Measurement in Children Accepting Table Tennis Training
06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

Related Experiment Videos

Last Updated: May 13, 2026

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
08:45

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Physical Activity Measurement in Children Accepting Table Tennis Training
06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

  • Combined accelerometry and heart rate data were used with branched equation modeling.
  • Key physical activity outcomes and descriptors were extracted and analyzed.

    • Main Results:

    • Physical activity outcomes showed varying correlations, with some tightly linked and others independent.
    • High performance in one physical activity dimension did not consistently predict performance in others.
    • A significant portion of individuals with a low overall Physical Activity Level exhibited heterogeneity across specific activity dimensions.

    Conclusions:

    • Physical activity is highly heterogeneous, defying single-measure assessments.
    • Multidimensional physical activity profiling is crucial for comprehensive individual assessment.
    • Future research should adopt integrated approaches to capture the complexity of physical activity behavior.