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 Concept Videos

Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

1.8K
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
1.8K
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

12.1K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
12.1K
Dimensional Analysis01:23

Dimensional Analysis

2.5K
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
2.5K
Data Collection III01:05

Data Collection III

4.8K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
4.8K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

719
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
719

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

Conversational, Longitudinal, Ecological Assessment (CLEA): Exploring a new AI-driven method for qualitative data collection in a behavioural health context.

PLOS digital health·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

A Scoping Review of the Mechanisms Influencing Socioeconomic Disparities in Outcomes of Digital Interventions for Weight-Related Behaviors.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2026
Same journal

Limb Disuse Trials in Humans: Key Insights on Study Design, Ethics, and Project Execution.

Exercise and sport sciences reviews·2026
Same journal

Integrating Astronomical Seasonal Phase into Physical Activity Research.

Exercise and sport sciences reviews·2026
Same journal

microRNA-1: A Master Regulator of Metabolism Governing Skeletal Muscle Hypertrophy.

Exercise and sport sciences reviews·2026
Same journal

Acute Exercise and Cognitive Improvement: A Neuromodulatory Perspective.

Exercise and sport sciences reviews·2026
Same journal

Cognitive Neuroelectrical Activity During Preparation for Exercise Under Hyperthermia.

Exercise and sport sciences reviews·2026
Same journal

Breaking Boundaries Between Resistance and Aerobic Training in Cancer Survivors.

Exercise and sport sciences reviews·2026
See all related articles

Related Experiment Video

Updated: Apr 18, 2026

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

7.4K

Multidimensional physical activity: an opportunity, not a problem.

Dylan Thompson1, Oliver Peacock, Max Western

  • 11Department for Health, University of Bath, Bath; and 2 Health and Social Care Institute, Teesside University, Middlesbrough, UK.

Exercise and Sport Sciences Reviews
|January 22, 2015
PubMed
Summary
This summary is machine-generated.

No single physical activity metric is adequate, as key dimensions are independent. Exploiting this multidimensionality can personalize physical activity feedback and choices for individual needs and preferences.

More Related Videos

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

2.7K
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

776

Related Experiment Videos

Last Updated: Apr 18, 2026

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

7.4K
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

2.7K
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

776

Area of Science:

  • Exercise Science
  • Biomedical Research
  • Personalized Health

Background:

  • Current physical activity assessment often relies on single metrics.
  • These metrics fail to capture the complexity of human movement.
  • This limitation hinders effective health interventions and recommendations.

Purpose of the Study:

  • To demonstrate the inadequacy of single metrics for physical activity assessment.
  • To highlight the independent and biologically important dimensions of physical activity.
  • To propose a novel approach for personalized physical activity interventions.

Main Methods:

  • Analysis of multidimensional physical activity data.
  • Identification of independent biological dimensions of physical activity.
  • Development of a conceptual framework for personalized feedback.

Main Results:

  • No single metric adequately reflects an individual's physical activity.
  • Multiple biologically significant dimensions of physical activity are independent.
  • Significant opportunity exists to leverage this multidimensionality.

Conclusions:

  • A singular approach to physical activity measurement is insufficient.
  • Personalized physical activity recommendations require consideration of multiple independent dimensions.
  • Tailored feedback and activity choices can enhance individual engagement and outcomes.