Related Experiment Video
Updated: Jul 17, 2026

20:36
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Predicting sudden death in the population: the Paris Prospective Study I
1Service de Cardiologie, Hôpital Boucicaut, Paris, France. xavier.jouven@bcc.ap-hop-paris.fr
Circulation
|April 20, 1999
Summary
Parental history of sudden death is an independent risk factor for sudden death in middle-aged men. This finding aids in identifying individuals at higher risk for early prevention strategies.
Area of Science:
- Cardiology
- Preventive Medicine
- Epidemiology
Background:
- Sudden death shares risk factors with coronary events, making specific prediction difficult.
- Parental history of sudden death has not been previously investigated as a risk factor.
Purpose of the Study:
- To assess risk factors, including parental sudden death, for sudden death in a long-term cohort study.
Main Methods:
- Analysis of 7746 men (43-52 years) from the Paris Prospective Study I (1967-1972).
- Data collected via physical examination, ECG, lab tests, and detailed family medical history questionnaires.
- Exclusion of men with known ischemic cardiac disease; vital status tracked for an average of 23 years.
Main Results:
- Identified independent risk factors for sudden death: resting heart rate, blood pressure, tobacco consumption, BMI, diabetes, cholesterol, and parental history of sudden death.
- Parental sudden death was associated with a 1.80-fold increased relative risk (95% CI, 1.11-2.88) of sudden death, independent of other confounders.
Conclusions:
- Parental sudden death is an independent risk factor for sudden death in middle-aged men.
- Familial risk factors for sudden death can improve identification of high-risk individuals and facilitate early prevention.
Related Concept Videos
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...
Conservation of Declining Populations
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
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 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,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
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...
Hazard Rate
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...

