Related Experiment Video
Updated: Aug 9, 2026

10:00
Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
Mortality levels, trends and differentials in Kuwait, 1957-1983
Summary
Infant and general mortality in Kuwait declined from 1957-1983 due to socio-economic development and improved healthcare. Factors like living standards, nutrition, education, and income played key roles in this positive trend.
Area of Science:
- Public Health
- Demography
- Epidemiology
Background:
- Mortality trends in Kuwait between 1957 and 1983.
- Analysis of infant and general mortality differentials by age, sex, and nationality.
- Examination of socio-economic factors influencing mortality patterns.
Purpose of the Study:
- To briefly discuss trends in infant and general mortality in Kuwait (1957-1983).
- To examine mortality differentials across various demographic and socio-economic strata.
- To highlight leading causes of death, noting a mix of developing and developed country diseases.
Main Methods:
- Descriptive analysis of mortality data from 1957-1983.
- Examination of demographic differentials (age, sex, nationality).
- Assessment of socio-economic differentials impacting mortality rates.
Main Results:
- Significant decline observed in both infant and general mortality rates.
- Mortality rates showed differentials based on age, sex, and nationality.
- Leading causes of death represented a blend of infectious and chronic diseases.
- Socio-economic development (standard of living, nutrition, education, income) correlated with mortality decline.
Conclusions:
- Socio-economic development is a primary driver of mortality reduction in Kuwait.
- Expansion of healthcare and medical facilities significantly contributed to declining mortality.
- The findings underscore the impact of public health initiatives and improved living conditions on population health outcomes.
Keywords:
Age FactorsArab CountriesAsiaCauses Of DeathDelivery Of Health CareDemographic FactorsDeveloping CountriesDifferential MortalityEconomic DevelopmentEconomic FactorsEducational StatusHealthHealth FacilitiesHealth ServicesIncomeInfant MortalityKuwaitMortalityNutritionPopulationPopulation CharacteristicsPopulation DynamicsQuality Of LifeSex FactorsSocial WelfareSocioeconomic FactorsSocioeconomic StatusWestern AsiaRelated Concept Videos
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...
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...
The primary goal of survival analysis is to estimate survival time—the time until a...
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,...
Survival Curves
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
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...

