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

Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Sex Linked Disorders01:43

Sex Linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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.
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...

You might also read

Related Articles

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

Sort by
Same author

Incorporating climate impact in health care decisions: new criteria to be tested in the Netherlands.

International journal of technology assessment in health care·2026
Same author

Tobacco control policies and respiratory conditions among children presenting in primary care.

NPJ primary care respiratory medicine·2024
Same author

Dutch Academy of Science proposes research agenda for planetary health.

The Lancet. Planetary health·2024
Same author

Report on the Joint Workshop on the Relations between Health Inequalities, Ageing and Multimorbidity, Iceland, May 3-4, 2023.

Clinical epidemiology·2024
Same author

[Artworks from medieval and early-modern hospitals in The Netherlands].

Nederlands tijdschrift voor geneeskunde·2023
Same author

[Planetary health: a new field of research, education and practice].

Nederlands tijdschrift voor geneeskunde·2023

Related Experiment Video

Updated: May 28, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Mortality risk associated with disability: a population-based record linkage study.

Istvan M Majer1, Wilma J Nusselder, Johan P Mackenbach

  • 1Department of Public Health, Erasmus MC, Rotterdam, The Netherlands. i.majer@erasmusmc.nl

American Journal of Public Health
|October 25, 2011
PubMed
Summary
This summary is machine-generated.

Disability significantly increases mortality risk. While lifestyle and chronic diseases explain some of this risk for mild disability, severe disabilities may independently impact longevity.

Related Experiment Videos

Last Updated: May 28, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Public Health
  • Epidemiology
  • Gerontology

Background:

  • Disability is a growing public health concern, particularly among aging populations.
  • Understanding the link between disability and mortality is crucial for effective health interventions.
  • Risk factors associated with disability require further investigation to mitigate mortality outcomes.

Purpose of the Study:

  • To assess the association between disability and mortality.
  • To quantify the impact of disability-associated risk factors on mortality.
  • To investigate the independent effect of severe disabilities on mortality.

Main Methods:

  • Utilized linked data from Dutch health surveys and population registries.
  • Employed Cox regression models to estimate hazard ratios.
  • Analyzed disability in activities of daily living, mobility, and mild disability.

Main Results:

  • Men aged 55 with disability in activities of daily living, mobility, or mild disability faced significantly higher mortality risks (HRs 7.85, 5.21, 1.87 respectively).
  • Individuals with disability in activities of daily living and mobility experienced a 10-year reduction in life expectancy.
  • Six years of this life expectancy reduction were attributable to lifestyle, sociodemographics, and chronic diseases.

Conclusions:

  • Disabled individuals exhibit a higher risk of mortality compared to non-disabled individuals.
  • While mild disability's mortality risk is explained by known factors, severe disabilities may have an independent effect.
  • Further research is needed to elucidate the independent contribution of severe disabilities to mortality risk.