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 Tables01:22

Life Tables

668
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
668
Population Growth00:57

Population Growth

29.6K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
29.6K
Longitudinal Research02:20

Longitudinal Research

13.7K
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...
13.7K
Applications of Life Tables01:22

Applications of Life Tables

423
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
423
Cross-Sectional Research01:50

Cross-Sectional Research

13.0K
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...
13.0K
Data Collection by Observations01:08

Data Collection by Observations

15.8K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
15.8K

You might also read

Related Articles

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

Sort by
Same author

Religious switching and mental disorders in young adulthood: evidence from Finnish population register data.

American journal of epidemiology·2025
Same author

Recent trends in parenthood in Swedish same- and different-sex legal unions: emerging gender and socioeconomic differences.

Genus·2025
Same author

Socio-economic status is a social construct with heritable components and genetic consequences.

Nature human behaviour·2025
Same author

The Demography of Sweden's Transgender Population: A Research Note on Patterns, Changes, and Sociodemographics.

Demography·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

The midlife health of only children: chronic disease indicators and biomarkers by sibship size in three nationally representative UK cohorts.

International journal of epidemiology·2024

Related Experiment Video

Updated: Apr 16, 2026

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

15.5K

Birth order and mortality: a population-based cohort study.

Kieron Barclay1, Martin Kolk

  • 1Department of Social Policy, London School of Economics and Political Science, London, UK, k.j.barclay@lse.ac.uk.

Demography
|March 18, 2015
PubMed
Summary

Later birth order is associated with increased adult mortality risk, particularly for women. Social factors play a limited role in this relationship, highlighting the impact of birth position on long-term health outcomes.

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

11.1K
Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

35.9K

Related Experiment Videos

Last Updated: Apr 16, 2026

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

15.5K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

11.1K
Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

35.9K

Area of Science:

  • Demography
  • Public Health
  • Epidemiology

Background:

  • Understanding factors influencing adult mortality is crucial for public health.
  • Birth order is a potential, yet under-researched, determinant of long-term health outcomes.

Purpose of the Study:

  • To investigate the association between birth order and mortality risk in adulthood.
  • To examine sex differences in the birth order-mortality relationship.
  • To explore the mediating role of socioeconomic status and education.

Main Methods:

  • Utilized Swedish population register data for cohorts born 1938-1960.
  • Employed discrete-time survival analysis with a within-family comparison.
  • Adjusted for maternal age, birth cohort, and individual age.

Main Results:

  • Mortality risk in adulthood (ages 30-69) increases with later birth order.
  • The effect of birth order on mortality is more pronounced in women than in men.
  • This pattern was observed across major causes of death, notably respiratory cancers and external causes.
  • Socioeconomic status and educational attainment only partially mediated the observed relationship.

Conclusions:

  • Birth order is an independent risk factor for adult mortality.
  • Sex-specific differences in the birth order-mortality link warrant further investigation.
  • While social pathways have some influence, biological or other unmeasured factors likely contribute significantly to the birth order effect on mortality.