Related Experiment Video
Updated: Aug 3, 2026
10:00
Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
[Determinants of mortality]
Maandstatistiek Van De Bevolking (Hague, Netherlands : 1982)
|January 1, 1993
Abstract:
"In this article determinants of mortality [in the Netherlands] are studied.... The main results are the following: For all ages women have lower mortality risks than men.... Married people live longer than those who are not. However, the cause is not certain.... In large cities mortality rates are higher than in small towns (especially due to diseases of the lungs and to narcotics, alcohol and violent causes of death). People with a high socio-economic status have lower mortality risks than those with a low status." (SUMMARY IN ENG)
Keywords:
Alcohol DrinkingBehaviorBiologyCauses Of DeathDemographic FactorsDeveloped CountriesDifferential MortalityDrug UsageEconomic FactorsEuropeGeographic FactorsMarital StatusMortality--determinantsNetherlandsNuptialityPhysiologyPopulationPopulation CharacteristicsPopulation DynamicsPulmonary EffectsRisk FactorsSex FactorsSmokingSocioeconomic FactorsSocioeconomic StatusUrban PopulationViolent DeathsWestern Europe
Related Concept Videos
01:21Dimensions of Health and Illness
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
01:18Factors 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,...
For instance, risk factors are connected to illness, disability,...
01:22Life 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,...
01:15Assumptions of Survival Analysis
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
01:22Applications 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...
01:11Hazard 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...