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 Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
Natural Selection and Mating Preferences01:06

Natural Selection and Mating Preferences

The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
Females, due to their biological roles in conception, pregnancy, and nursing, inherently...
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,...
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,...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption01:22

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption

As individuals age, their body's physiology evolves, affecting drug pharmacokinetics. The most apparent changes occur in the gastrointestinal tract, where an increase in gastric pH, a delay in gastric emptying, and a reduction in gastrointestinal motility are observed. Remarkably, these changes do not substantially modify the absorption of orally administered drugs, particularly those absorbed via passive diffusion.Transdermal drug delivery emerges as a highly viable method for older adults due...

You might also read

Related Articles

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

Sort by
Same author

Invisible emigrants: A research note on over-coverage bias from unrecorded migrant departures in socio-demographic rates and summary measures.

Population studies·2026
Same author

Did migrants experience a COVID-19 mortality disadvantage in the Swedish care setting? An observational cohort study on type of care and mortality among older migrants in Sweden.

European journal of public health·2025
Same author

Labor market disadvantages and mental health among the second-generation children of immigrants in Sweden. A population cohort study.

Social science & medicine (1982)·2025
Same author

Cohabitation and Mortality Across the Life Course: A Longitudinal Cohort Study with Swedish Register-Based Sibling Comparisons.

European journal of population = Revue europeenne de demographie·2025
Same author

Using population register data and capture-recapture models to estimate over-coverage in Sweden.

Scientific reports·2024
Same author

Against the grain: International migrants, the children of migrants and national life expectancy in Sweden, 1990-2019.

SSM - population health·2024
Same journal

Extreme Weather and Mortality of Vulnerable Urban Populations: An Examination of Temperature and Unclaimed Deaths in New York City.

Demography·2026
Same journal

Overlooked Potential? Childcare Services and Ukrainian Refugee Mothers in Germany.

Demography·2026
Same journal

Effect of First Births on Women's Employment in a Low-Income Context: Research Note Using Panel Data From Nepal.

Demography·2026
Same journal

Decomposing Differences in Cohort Health Expectancy by Cause and Age With Longitudinal Data.

Demography·2026
Same journal

Wildfires and Birth Outcomes: Evidence From Spain.

Demography·2026
Same journal

The Effect of the Great Recession on U.S. Fertility: Causal Estimates From a Novel Cohort Discontinuity Design.

Demography·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2026

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

How does the age gap between partners affect their survival?

Sven Drefahl1

  • 1Demography Unit, Department of Sociology, University of Stockholm, 10691 Stockholm, Sweden. sven.drefahl@sociology.su.se

Demography
|July 9, 2010
PubMed
Summary
This summary is machine-generated.

The age gap between spouses impacts survival differently by sex. A younger spouse benefits men

More Related Videos

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
05:18

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

Orthotopic Ovarian Transplantation Procedures to Investigate the Life- and Health-span Influence of Ovarian Senescence in Female Mice
06:49

Orthotopic Ovarian Transplantation Procedures to Investigate the Life- and Health-span Influence of Ovarian Senescence in Female Mice

Published on: February 12, 2018

Related Experiment Videos

Last Updated: Jun 11, 2026

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
05:18

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

Orthotopic Ovarian Transplantation Procedures to Investigate the Life- and Health-span Influence of Ovarian Senescence in Female Mice
06:49

Orthotopic Ovarian Transplantation Procedures to Investigate the Life- and Health-span Influence of Ovarian Senescence in Female Mice

Published on: February 12, 2018

Area of Science:

  • Demography
  • Sociology
  • Public Health

Background:

  • The age difference between spouses is a stable demographic factor globally.
  • Previous research on spouse age gap and mortality yielded inconclusive results.
  • Existing explanations for spouse age gap effects include selection, caregiving, and psychosocial factors.

Purpose of the Study:

  • To investigate the impact of the age difference between spouses on individual survival.
  • To extend previous findings using comprehensive longitudinal population data.
  • To control for socioeconomic confounders like education and wealth.

Main Methods:

  • Utilized hazard regression analysis.
  • Employed longitudinal Danish register data from 1990 onwards.
  • Analyzed demographic events for the entire population.

Main Results:

  • A younger spouse is associated with increased survival for men.
  • A younger spouse is linked to decreased survival for women.
  • An older spouse is detrimental to survival for both men and women.

Conclusions:

  • The effect of spouse age difference on mortality is sex-specific.
  • Findings challenge previous assumptions and highlight the need for nuanced understanding.
  • Policy and individual choices regarding marriage age gaps may have differential health consequences.