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Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Intellectual Disability01:29

Intellectual Disability

Intellectual disability (ID) is a neurodevelopmental condition characterized by deficits in intellectual and adaptive functioning that manifest during the developmental period. This condition encompasses challenges in reasoning, memory, problem-solving, and learning, accompanied by impairments in everyday life skills, such as communication, self-care, and social interactions. Intellectual disability affects approximately 1% of the population in the United States, impacting an estimated 5...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.

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Related Experiment Video

Updated: Jun 7, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

Assessment of function and disability in longitudinal studies.

Thomas M Gill1

  • 1Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut, USA. thomas.gill@yale.edu

Journal of the American Geriatrics Society
|October 30, 2010
PubMed
Summary

Significant advancements have been made in assessing function and disability in older adults. Future research should focus on validating new measurement technologies and refining strategies for accurate disability assessment.

Keywords:
disability evaluationfunctional assessmentlongitudinal studies

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Last Updated: Jun 7, 2026

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Public Health

Background:

  • Over the past 20 years, significant progress has been made in evaluating the function and disability of older individuals.
  • Physical performance tests are now standard in longitudinal studies for measuring functional limitations, the fundamental components of overall functioning.
  • New strategies have emerged to assess the presence and onset of disability, broadening assessments beyond traditional measures of difficulty and dependence.

Purpose of the Study:

  • To review the progress in assessing function and disability in older persons.
  • To highlight the potential of new measurement technologies.
  • To identify future research priorities for improving disability assessment in aging populations.

Main Methods:

  • Review of advancements in functional and disability assessment methodologies for older adults.
  • Discussion of contemporary measurement technologies like item response theory and computer adaptive testing.
  • Emphasis on the need for prospective studies to validate new methods.

Main Results:

  • Physical performance tests are integral to measuring functional limitations in older adults.
  • Advanced technologies show promise but require further validation through prospective studies.
  • There is a need to refine strategies for comprehensive and accurate disability ascertainment.

Conclusions:

  • Continued progress in assessing function and disability in older persons is evident.
  • New technologies like IRT and CAT offer potential but need prospective validation.
  • Future research must prioritize validating and refining strategies for accurate disability assessment in aging populations.