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 Illness01:18

Factors Affecting Illness

4.7K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.7K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

925
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
925
Longitudinal Research02:20

Longitudinal Research

12.8K
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...
12.8K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

93.3K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
93.3K
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

9.2K
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.
9.2K
Prevalence and Incidence01:08

Prevalence and Incidence

1.1K
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Health Equity: JAMA Internal Medicine Call for Papers.

JAMA internal medicine·2026
Same author

Person-Centered Care Planning for People With Multiple Chronic Conditions: An Environmental Scan of Models and Approaches.

Learning health systems·2026
Same author

The Maturity of Maturity Models in Health Care and Informatics.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Metabolic Dysfunction-Associated Steatotic Liver Disease: Diagnosis and Management.

American family physician·2026
Same author

Semaglutide and Neovascular Age-Related Macular Degeneration Among Adults with Type 2 Diabetes: An OHDSI Network Study.

Ophthalmology·2026
Same author

Governance of Artificial Intelligence in an Academic Health System After 2 Years.

Studies in health technology and informatics·2026

Related Experiment Video

Updated: Nov 10, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.6K

Racial and Ethnic Differences in Multimorbidity Changes Over Time.

Ana R Quiñones1,2, Jason T Newsom3, Miriam R Elman2

  • 1Department of Family Medicine.

Medical Care
|April 6, 2021
PubMed
Summary
This summary is machine-generated.

Racial and ethnic older adults face higher risks of developing complex multimorbidity and mortality. Targeted interventions are crucial to prevent disease progression and improve health outcomes in these populations.

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K
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

14.8K

Related Experiment Videos

Last Updated: Nov 10, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.6K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K
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

14.8K

Area of Science:

  • Gerontology
  • Public Health
  • Epidemiology

Background:

  • Understanding the progression and changes in multimorbidity is limited.
  • Multimorbidity significantly impacts health outcomes in aging populations.

Purpose of the Study:

  • To assess changes in multimorbidity patterns among diverse middle-aged and older adults over 16 years.
  • To identify distinct multimorbidity trajectories and their associations with demographic factors.

Main Methods:

  • A prospective cohort study utilizing latent class analysis and multinomial logistic models.
  • Analysis of Health and Retirement Study data from 1998 to 2014 (N=17,297).
  • Identified latent classes based on hypertension, heart disease, lung disease, diabetes, cancer, arthritis, stroke, and depressive symptoms.

Main Results:

  • Three distinct multimorbidity classes were identified in 1998 and 2014.
  • Participants in the cardiovascular-musculoskeletal class in 1998 were more likely to develop multisystem multimorbidity by 2014.
  • Individuals in the cardiovascular-musculoskeletal-mental class had higher odds of mortality or loss to follow-up.
  • Hispanic and Black Americans showed increased likelihood of multisystem multimorbidity and mortality compared to White Americans.

Conclusions:

  • Racial and ethnic minority older adults experience accelerated morbidity accumulation and higher mortality rates.
  • Targeted prevention and intervention strategies are essential for this demographic to mitigate complex multimorbidity.
  • Addressing health disparities is critical for improving long-term outcomes in aging populations.