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Changing Age Segregation in the US: 1990 to 2010.

Debasree Das Gupta1, David W S Wong2

  • 14606Utah State University, Logan, UT, USA.

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Summary
This summary is machine-generated.

US age segregation has decreased significantly from 1990 to 2010, contrary to prior research. This trend was observed nationally, by state, and by county, impacting health and wellbeing.

Keywords:
age segregationintergenerationalolder adultsspatiotemporalurban-rural

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Area of Science:

  • Gerontology
  • Sociology
  • Urban Studies

Background:

  • Age segregation negatively affects health and wellbeing.
  • Previous studies indicated rising age segregation in the US but were limited in scope and methodology.
  • There is a need for comprehensive analysis of spatiotemporal patterns and correlates of intergenerational segregation.

Purpose of the Study:

  • To assess spatiotemporal patterns of age segregation in the US from 1990 to 2010.
  • To identify factors associated with adult-older adult segregation across US counties.
  • To provide updated evidence contradicting previous findings on age segregation trends.

Main Methods:

  • Utilized US census-tract data from 1990 and 2010.
  • Computed the dissimilarity index (D) at national, state, and county levels to measure age segregation.
  • Employed regression analyses to examine correlates of adult-older adult segregation.

Main Results:

  • Demonstrated a robust decrease in age segregation across most of the US.
  • Observed declining age segregation at national, state, and county levels.
  • Found that rurality was associated with lower segregation, though this diminished over time; higher percentages of older adults and group quarters populations were inversely related to segregation.

Conclusions:

  • US age segregation has generally decreased between 1990 and 2010.
  • Factors influencing age segregation have shifted compared to previous decades.
  • The findings necessitate a re-evaluation of policies and interventions related to age-integrated communities and their impact on population health.