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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Design Consideration01:22

Design Consideration

Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key aspect...
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.

You might also read

Related Articles

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

Sort by
Same author

Presurgical immune biomarkers associated with pain intensity and pain interference recovery after total knee arthroplasty: findings from the PRIME-KNEE study.

medRxiv : the preprint server for health sciences·2026
Same author

Immune Biomarker Signatures as Predictors of Functional and Pain Recovery After Total Knee Arthroplasty in Older Adults.

medRxiv : the preprint server for health sciences·2026
Same author

Examining bidirectional longitudinal relationships between physical activity and physical function in older breast cancer survivors: The Thinking and Living with Cancer study.

Cancer·2026
Same author

Drug Burden Index and Its Association With Functional Outcomes in Patients Receiving Hemodialysis.

Kidney medicine·2026
Same author

Examining Quality-of-Life Priorities of Older Adults Receiving Hemodialysis: A Q-Methodology Study.

Kidney medicine·2026
Same author

Feasibility and acceptability of remote ischemic conditioning combined with low-intensity resistance training in older adults with mobility impairments: A randomized controlled pilot trial protocol.

Experimental gerontology·2026
Same journal

From health literacy to capacity preservation: advancing the next step in midlife frailty prevention.

The Journal of frailty & aging·2026
Same journal

An OLD DOG teaching us new tricks in ageing biology.

The Journal of frailty & aging·2026
Same journal

"This has no flavor": balancing nutrition, taste, and salt restriction in geriatric care units.

The Journal of frailty & aging·2026
Same journal

Screening of intrinsic capacity impairment in community-dwelling older adults in Cameroon: A national cross-sectional study.

The Journal of frailty & aging·2026
Same journal

Phenotypes of frailty and their mortality and disability implications.

The Journal of frailty & aging·2026
Same journal

Exploring sex differences in frailty and hospitalization among older adults with diabetes in Vietnam.

The Journal of frailty & aging·2026
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

Comparing two methods to quantify physical resilience.

Heather E Whitson1, Marissa Ashner2, Virginia B Kraus3

  • 1Duke Aging Center, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Geriatrics Research Education and Clinical Center (GRECC), Durham Veterans Administration Medical Center, Durham NC, USA.

The Journal of Frailty & Aging
|June 20, 2026
PubMed
Summary
This summary is machine-generated.

This study compared two methods for measuring physical resilience in older adults after surgery. Both methods showed similar results for individuals with very high or very low recovery, but varied for moderate recovery.

Keywords:
AgingKnee arthroplastyMeasurementRecoveryResilienceStressorSurgery

More Related Videos

Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

A Rapidly Incremented Tethered-Swimming Maximal Protocol for Cardiorespiratory Assessment of Swimmers
09:24

A Rapidly Incremented Tethered-Swimming Maximal Protocol for Cardiorespiratory Assessment of Swimmers

Published on: January 28, 2020

Related Experiment Videos

Last Updated: Jun 23, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

A Rapidly Incremented Tethered-Swimming Maximal Protocol for Cardiorespiratory Assessment of Swimmers
09:24

A Rapidly Incremented Tethered-Swimming Maximal Protocol for Cardiorespiratory Assessment of Swimmers

Published on: January 28, 2020

Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Physical resilience, the ability to recover after a health stressor, is crucial in aging and frailty research.
  • Quantifying physical resilience often involves repeated measures of health or function post-stressor.
  • Existing methods for measuring resilience have varying approaches and interpretations.

Purpose of the Study:

  • To directly compare two distinct methods for quantifying physical resilience: the recovery trajectory (RT) and the expected recovery differential (ERD).
  • To evaluate the concordance of RT and ERD in measuring resilience in older adults following a health stressor.

Main Methods:

  • Utilized data from 170 older adults undergoing elective knee replacement surgery.
  • Assessed physical resilience using repeated measures of pain interference over six months post-surgery.
  • Applied both the recovery trajectory (RT) and expected recovery differential (ERD) methods to quantify individual resilience.

Main Results:

  • High concordance was observed between RT and ERD for individuals classified at the extremes of high or low recovery.
  • The expected recovery differential (ERD) scores showed greater variability among individuals categorized with moderate resilience by the recovery trajectory (RT) method.
  • A significant majority (85.9%) of individuals classified as low resilience by RT also demonstrated worse-than-expected recovery using ERD.

Conclusions:

  • Both the recovery trajectory (RT) and expected recovery differential (ERD) methods offer valuable approaches for quantifying physical resilience after a health stressor.
  • The choice of method for quantifying physical resilience may depend on the specific research question and the expected recovery patterns of the population.
  • Further discussion is warranted regarding factors influencing method selection and the interpretation of results in physical resilience research.