Related Experiment Video
Updated: Jun 17, 2025

07:57
A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
20.9K
The Ecology of Economic Distress and Life Expectancy
William Brinson Weeks1, Ji E Chang2, José A Pagán2
1Microsoft, AI for Good Lab, Redmond, WA, United States.
International Journal of Public Health
|August 12, 2024
Summary
Life expectancy (LE) in US counties between 2000-2019 was linked to race and rurality. Improving local economic prosperity significantly accelerated LE gains, highlighting the health impact of economic investment.
Area of Science:
- Public Health
- Health Economics
- Sociology
Background:
- Life expectancy (LE) trends vary significantly across the United States.
- Socioeconomic factors, including local economic conditions and rurality, are hypothesized to influence population health outcomes.
- Understanding the interplay between economic prosperity, race, and LE is crucial for targeted public health interventions.
Purpose of the Study:
- To investigate the association between changes in life expectancy (LE) from 2000 to 2019 and factors like race, rural status, and local economic prosperity at the county level.
- To analyze how shifts in local economic conditions correlate with changes in LE for different racial groups and across the rural-urban spectrum.
- To identify key determinants of LE changes to inform policy and public health strategies.
Main Methods:
- Retrospective analysis of county-level data from 2000 and 2019 for 3,123 United States counties.
- Comparison of LE changes across the rural-urban continuum and local economic prosperity quintiles for Total, White, and Black populations.
- Assessment of LE changes in counties with significant improvements or declines in local economic prosperity.
Main Results:
- Life expectancy consistently decreased with declining economic prosperity across all populations and the rural-urban continuum in both 2000 and 2019 (p < 0.001).
- Improving county economic prosperity between 2000 and 2019 was significantly associated with greater gains in life expectancy (p < 0.001).
- Race, rurality, and local economic distress were all independently associated with life expectancy at the county level.
Conclusions:
- Local economic distress and rurality are significant factors associated with life expectancy at the county level.
- Improvements in local economic conditions are linked to accelerated gains in life expectancy, demonstrating a clear health externality of economic policy.
- Policymakers should consider the health implications of economic conditions when aiming to improve overall population health, particularly in economically disadvantaged areas.
Related Concept Videos
Applications of Life Tables
56
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...
56
Erikson's Theory on Socioemotional Development during Adulthood
74
Erik Erikson's theory of psychosocial development outlines a series of stages through which individuals progress across the lifespan. Each stage involves a psychosocial conflict that significantly influences personal growth and well-being. Three key stages — intimacy versus isolation, generativity versus stagnation, and integrity versus despair — highlight the developmental challenges faced in adulthood.
Intimacy Versus Isolation in Early Adulthood
Individuals in early...
Intimacy Versus Isolation in Early Adulthood
Individuals in early...
74
Depressive Disorders: Etiology
59
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
59
Ecological Disturbance
17.0K
An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.
17.0K
Conservation of Declining Populations
9.6K
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.
9.6K
Life Histories
17.8K
Overview
17.8K

