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

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.
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
Factors Affecting Illness01:18

Factors Affecting Illness

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, disability,...
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.
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
Relationship Formation02:12

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...

You might also read

Related Articles

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

Sort by
Same author

Socioeconomic differences in the prevalence, treatment and control of major cardiometabolic risk factors by sex: a cross-sectional study of the UK Biobank.

BMJ public health·2026
Same author

Blood pressure parameters and cognitive decline and dementia after stroke or transient ischemic attack: results from the PROGRESS trial.

American journal of hypertension·2026
Same author

Frailty and sex differences in blood pressure control in older adults.

Scientific reports·2026
Same author

Frailty in older patients with cancer in Vietnam.

BMC geriatrics·2026
Same author

Blood pressure lowering for the prevention of REcurrent stroke and Cardiovascular outcomes After acute intracerebral haemorrhage: protocol for an individual Participant data meta-analysis of randomised controlled trials (RECAP-ICH).

Cerebrovascular diseases (Basel, Switzerland)·2026
Same author

Relationship between hypertensive disorders of pregnancy and postpartum mood and anxiety symptoms: P4 study.

Archives of women's mental health·2026

Related Experiment Videos

Sex differences in multimorbidity: a systematic review and meta-analysis.

Tu Nguyen1,2, Wei Jin Wong3, Mark Woodward4,5,6,7

  • 1The George Institute for Global Health, Sydney, NSW, Australia. TuNguyen@georgeinstitute.org.au.

BMC Public Health
|May 20, 2026
PubMed
Summary

Women experience a higher prevalence of multimorbidity than men. This systematic review highlights sex differences in multimorbidity and calls for further research into contributing factors.

Keywords:
Men’s healthMultimorbiditySex differencesWomen’s health

Related Experiment Videos

Area of Science:

  • Public Health
  • Epidemiology
  • Sex and Gender in Medicine

Background:

  • Sex and gender significantly influence the development and impact of multimorbidity.
  • Understanding these differences is crucial for targeted health interventions.

Purpose of the Study:

  • To systematically review and synthesize evidence on sex differences in multimorbidity prevalence, risk factors, patterns, and health outcomes.
  • To quantify the prevalence of multimorbidity in women versus men.

Main Methods:

  • Systematic literature search of Ovid Medline and Embase until June 2025.
  • Inclusion of studies reporting sex-disaggregated data on multimorbidity.
  • Meta-analysis to pool prevalence estimates and quantify sex differentials using women-to-men ratios.

Main Results:

  • The review included 37 studies with over 5.8 million individuals (60% women).
  • Pooled multimorbidity prevalence was higher in women (0.45) than men (0.39), with a prevalence ratio of 1.12.
  • Limited data were available on sex differences in risk factors, patterns, and health impacts of multimorbidity.

Conclusions:

  • Women exhibit a higher prevalence of multimorbidity compared to men.
  • The higher likelihood of multimorbidity in women is multifactorial, necessitating further investigation.
  • This underscores the need for sex-specific research in multimorbidity.