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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.7K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
16.7K
Prevalence and Incidence01:08

Prevalence and Incidence

2.4K
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...
2.4K
Cross-Sectional Research01:50

Cross-Sectional Research

12.9K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.9K
Factors Affecting Illness01:18

Factors Affecting Illness

5.6K
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,...
5.6K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.5K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.5K
Genomics02:02

Genomics

41.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
41.8K

You might also read

Related Articles

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

Sort by
Same author

The Prevalence and Indications of Intravenous Rehydration Therapy in Hospital Settings: A Systematic Review.

Epidemiologia (Basel, Switzerland)·2023
Same author

Estimated prevalence and trends in smoking among adolescents in South Korea, 2005-2021: a nationwide serial study.

World journal of pediatrics : WJP·2023
Same author

The impact of urinary incontinence on multiple health outcomes: an umbrella review of meta-analysis of observational studies.

Aging clinical and experimental research·2023
Same author

Correction to: Food insecurity and physical multimorbidity among adults aged ≥ 50 years from six low- and middle-income countries.

European journal of nutrition·2023
Same author

Association Between Pain and Sarcopenia Among Adults Aged ≥65 Years from Low- and Middle-Income Countries.

The journals of gerontology. Series A, Biological sciences and medical sciences·2023
Same author

National trends in physical activity among adolescents in South Korea before and during the COVID-19 pandemic, 2009-2021.

Journal of medical virology·2023

Related Experiment Video

Updated: Apr 1, 2026

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

11.2K

Global Multimorbidity Patterns: A Cross-Sectional, Population-Based, Multi-Country Study.

Noe Garin1, Ai Koyanagi2, Somnath Chatterji3

  • 1Pharmacy Department, Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques Sant Pau (IIB Sant Pau), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Spain. Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Spain. Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
|October 1, 2015
PubMed
Summary
This summary is machine-generated.

Multimorbidity patterns in older adults are common globally, with "cardio-respiratory," "metabolic," and "mental-articular" conditions appearing across countries. Understanding these patterns can improve public health and disease management strategies.

Keywords:
EpidemiologyHealth disparitiesMorbidityMultimorbiditiesPublic healthSocioeconomic issues

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.5K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.3K

Related Experiment Videos

Last Updated: Apr 1, 2026

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

11.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.5K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.3K

Area of Science:

  • Gerontology
  • Epidemiology
  • Public Health

Background:

  • Population ageing increases the burden of multimorbidity in older adults, challenging healthcare systems.
  • Identifying specific multimorbidity patterns is crucial for understanding public health impacts.
  • Limited research exists on how chronic conditions cluster in older adults across diverse income settings.

Purpose of the Study:

  • To identify and describe prevalent multimorbidity patterns in older adults across low-, middle-, and high-income countries.
  • To explore the global distribution of chronic condition clusters.

Main Methods:

  • Analysis of cross-sectional data from 41,909 noninstitutionalized adults over 50 years old.
  • Data sourced from the Collaborative Research on Ageing in Europe and WHO's Study on Global Ageing and Adult Health.
  • Exploratory factor analysis and logistic regression to identify patterns and associations.

Main Results:

  • High overall prevalence of multimorbidity was observed across all participating countries.
  • Hypertension, cataract, and arthritis were the most frequent co-occurring conditions.
  • Identified common patterns included 'cardio-respiratory' (angina, asthma, COPD), 'metabolic' (diabetes, obesity, hypertension), and 'mental-articular' (arthritis, depression).

Conclusions:

  • Multimorbidity is prevalent in older adults globally, with lower- and middle-income countries showing increasing rates.
  • Consistent multimorbidity patterns across countries suggest shared underlying etiopathogenic factors.
  • Understanding these patterns can inform targeted preventive strategies and comprehensive management approaches for co-occurring conditions.