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

Dementia01:30

Dementia

482
Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
482
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

1.6K
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
1.6K
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

174
Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
174
Prevalence and Incidence01:08

Prevalence and Incidence

1.5K
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...
1.5K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.2K
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:  
1.2K
Factors Affecting Illness01:18

Factors Affecting Illness

5.0K
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,...
5.0K

You might also read

Related Articles

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

Sort by
Same author

Multi-trajectory patterns of ADL, cognition, and depression with fall risk: evidence from a longitudinal study in China.

BMC geriatrics·2026
Same author

CEDR: robust consensus cancer subtyping with multi-omics data via ensemble dimensionality reduction.

Briefings in bioinformatics·2026
Same author

Ultrafast Anion-Hopping Conduction in Organic Solvent via Imidazolium-Grafted Dynamic Ion-Conducting Spacers for Stable Non-Aqueous Flow Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Depression and cognition mediated rapid eye movement sleep behavior disorder to improve the activities of daily living in Parkinson's disease patients.

Frontiers in psychiatry·2026
Same author

Metabolic engineering of rice endosperm for crocin biosynthesis.

Journal of integrative plant biology·2026
Same author

An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity.

Briefings in bioinformatics·2026

Related Experiment Video

Updated: Jan 7, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K

Association between multimorbidity and young-onset dementia: a prospective study.

Durong Chen1, Meiling Zhang2, Yalu Wen3

  • 1Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.

BMC Public Health
|December 24, 2025
PubMed
Summary

Multimorbidity, the presence of multiple chronic conditions, increases the risk of young-onset dementia (YOD). Specific patterns and increasing trajectories of these conditions are significantly associated with YOD development.

Keywords:
Healthy agingMultimorbidityPopulation-based studyYoung-onset dementia

More Related Videos

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans
08:29

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans

Published on: December 18, 2016

14.5K
Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

22.2K

Related Experiment Videos

Last Updated: Jan 7, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans
08:29

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans

Published on: December 18, 2016

14.5K
Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

22.2K

Area of Science:

  • Gerontology
  • Neurology
  • Public Health

Background:

  • Multimorbidity is a known risk factor for late-onset dementia.
  • The specific impact of multimorbidity on young-onset dementia (YOD) remains under-explored.

Purpose of the Study:

  • To investigate the association between multimorbidity burden, patterns, and trajectories and the risk of YOD.

Main Methods:

  • Utilized data from the China Health and Retirement Longitudinal Study (CHARLS).
  • Assessed multimorbidity using 12 chronic diseases (2011-2015).
  • Analyzed multimorbidity patterns via hierarchical clustering and trajectories using Group-Based Trajectory Modeling (GBTM).
  • YOD assessed via physician diagnosis and cognitive tests (2015-2020); Cox regression used for analysis.

Main Results:

  • Nearly half of participants had multimorbidity; 189 developed YOD.
  • Increased number of chronic conditions correlated with higher YOD risk (HR=1.42).
  • Specific multimorbidity patterns (cardiometabolic, gastric-arthritis, mixed) significantly increased YOD risk (HRs ranging from 2.43 to 4.05).
  • Both slow and rapid growth trajectories of chronic conditions were associated with increased YOD risk (HRs=1.42 and 2.67, respectively).

Conclusions:

  • Multimorbidity burden, specific patterns, and worsening trajectories are linked to an elevated risk of YOD.
  • Addressing multimorbidity is crucial for YOD prevention and public health improvement.