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Distinctively elderly mobility: types and determinants.

J W Meyer, A Speare

    Economic Geography
    |January 1, 1985
    PubMed
    Summary
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    Elderly individuals exhibit distinct mobility patterns, including moves for assistance or aging in place. Sociodemographic factors influence these migration decisions among older adults.

    Area of Science:

    • Gerontology
    • Sociology
    • Demography

    Background:

    • Mobility patterns among the elderly are diverse, extending beyond traditional migration reasons.
    • Understanding these distinct mobility types is crucial for addressing the needs of the aging population.

    Purpose of the Study:

    • To identify and analyze distinctive types of mobility among the elderly in the U.S.
    • To examine the associations between sociodemographic characteristics and elderly mobility behavior.

    Main Methods:

    • Utilized a longitudinal dataset of adult residents in Rhode Island.
    • Employed univariate, chi-square, and logit analyses to assess mobility behavior.

    Main Results:

    • Mobility for assistance was linked to older age, unmarried status, prior moves, and renter status.
    Keywords:
    AdultAge FactorsAgedAmericasBehaviorDemographic FactorsDeveloped CountriesDeveloping CountriesEconomic FactorsGeographic FactorsMarital StatusMigration--determinantsMotivationNorth AmericaNorthern AmericaPopulationPopulation CharacteristicsPopulation DynamicsPsychological FactorsResearch ReportResidence CharacteristicsResidential Mobility--determinantsRhode IslandSocioeconomic FactorsSocioeconomic StatusSpatial Distribution--changesUnited StatesUnmarried

    Related Experiment Videos

  • Moves in preparation for aging were more common among unmarried, previously mobile individuals.
  • Out-of-state amenity-driven moves were more prevalent among younger, married, and affluent elderly.

    • Conclusions:

    • Elderly mobility is multifaceted, influenced by age, marital status, socioeconomic factors, and housing tenure.
    • Specific sociodemographic profiles correlate with distinct elderly migration motivations and destinations.