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Related Concept Videos

Life Tables01:22

Life Tables

143
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,...
143
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

237
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
237
Cancer Survival Analysis01:21

Cancer Survival Analysis

406
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
406
Applications of Life Tables01:22

Applications of Life Tables

99
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...
99
Actuarial Approach01:20

Actuarial Approach

103
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,...
103
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

166
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.
166

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Measurement of Lifespan in Drosophila melanogaster
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Cause-Specific Mortality and Racial Differentials in Life Expectancy, Chicago 2018-2019.

Jessica Bishop-Royse1, Nazia S Saiyed2, Daniel J Schober3

  • 1College of Nursing, Rush University, Chicago, IL, USA. jessica_c_bishop-royse@rush.edu.

Journal of Racial and Ethnic Health Disparities
|March 27, 2023
PubMed
Summary

Racial disparities in life expectancy in Chicago are significant, with Black individuals living 9.1 years less than White individuals. Addressing disparities in cancer, heart disease, and homicide mortality can reduce these inequities.

Keywords:
Decomposition analysisDemographyHealth equityLife expectancyMortality

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Area of Science:

  • Public Health
  • Epidemiology
  • Social Determinants of Health

Background:

  • In 2018 Chicago, non-Hispanic (NH) Black individuals had an average life expectancy (ALE) of 71.5 years, 9.1 years less than NH Whites.
  • Racial inequities in ALE are increasingly linked to structural racism and amenable to public health interventions in urban settings.

Purpose of the Study:

  • To determine the specific causes of death contributing to the racial gap in ALE in Chicago.
  • To allocate racial inequities in ALE to cause-specific mortality differentials between NH Black and NH White populations.

Main Methods:

  • Utilized multiple decrement processes and decomposition analysis to examine cause-specific mortality data in Chicago.
  • Analyzed mortality differentials to identify contributions to the life expectancy gap between racial groups.

Main Results:

  • The ALE gap was 8.21 years for females and 10.53 years for males.
  • Cancer and heart disease mortality accounted for 36% of the ALE gap in females.
  • Homicide and heart disease mortality differences explained over 45% of the ALE disparity in males.

Conclusions:

  • Public health strategies must consider sex-specific mortality differences to effectively reduce racial inequities in ALE.
  • Targeting specific causes of death, such as cancer, heart disease, and homicide, can significantly reduce life expectancy disparities in segregated urban areas.