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...
Population Growth00:57

Population Growth

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.However, realistic environmental conditions limit the number of...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Life Tables01:22

Life Tables

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,...
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,...
Applications of Life Tables01:22

Applications of Life Tables

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...

You might also read

Related Articles

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

Sort by
Same author

Business cycles and mortality in Italy.

The European journal of health economics : HEPAC : health economics in prevention and care·2026
Same author

BAD TIMES, SLIMMER CHILDREN?

Health economics·2016
See all related articles

Related Experiment Video

Updated: Jul 10, 2026

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

Business cycle and mortality in Spain.

María Cervini-Plá1,2, Judit Vall-Castelló3,4

  • 1Universitat Autònoma de Barcelona, Edifici B. Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain. maria.cervini@uab.cat.

The European Journal of Health Economics : HEPAC : Health Economics in Prevention and Care
|June 23, 2021
PubMed
Summary

Economic downturns in Spain correlate with lower mortality rates, particularly for cardiovascular disease and cancer. This study reveals procyclical mortality across all demographics, with suicide being an exception for some educational groups.

Keywords:
Business cycleHealthMortalityRecessions

More Related Videos

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine
08:53

High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine

Published on: January 26, 2024

Related Experiment Videos

Last Updated: Jul 10, 2026

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine
08:53

High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine

Published on: January 26, 2024

Area of Science:

  • Public Health
  • Health Economics
  • Socioeconomic Determinants of Health

Background:

  • Macroeconomic fluctuations significantly impact population health and mortality rates.
  • Previous research indicates mortality is often procyclical, decreasing during economic downturns.
  • Recent recessions present mixed findings on the procyclicality of mortality, necessitating further investigation.

Purpose of the Study:

  • To investigate the relationship between macroeconomic fluctuations and mortality in Spanish provinces (1999-2016).
  • To analyze the impact of unemployment on various causes of death.
  • To explore demographic and educational disparities in mortality-economy links.

Main Methods:

  • Utilized provincial data from Spain spanning 1999 to 2016.
  • Examined mortality trends in relation to business cycle fluctuations.
  • Disaggregated analysis by cause of death, sex, age group, and educational level.

Main Results:

  • Overall mortality is procyclical in Spain; mortality rates fall during economic recessions.
  • Procyclicality observed for deaths from cardiovascular disease, cancer, senility, transport accidents, and homicides.
  • Procyclical mortality is consistent across all age groups and both sexes, with specific causes varying by age.
  • Suicide exhibits countercyclical mortality for individuals with intermediate education levels.

Conclusions:

  • Spanish mortality demonstrates a clear procyclical pattern, aligning with economic downturns.
  • Specific causes of death and demographic groups show distinct patterns in their relationship with the business cycle.
  • Educational attainment influences the cyclicality of certain causes of death, such as suicide.