Who Moves After SCI? Individual, Health, and Neighborhood Predictors of Residential Mobility Among Participants in the National Spinal Cord Injury Model Systems Database.

Environment Population dynamics Poverty Rehabilitation Residence characteristics Spinal cord injuries

Journal

Archives of physical medicine and rehabilitation
ISSN: 1532-821X
Titre abrégé: Arch Phys Med Rehabil
Pays: United States
ID NLM: 2985158R

Informations de publication

Date de publication:
04 2022
Historique:
received: 29 11 2020
revised: 11 03 2021
accepted: 19 03 2021
pubmed: 19 5 2021
medline: 6 4 2022
entrez: 18 5 2021
Statut: ppublish

Résumé

To investigate residential mobility among community-living adults with spinal cord injury (SCI) and the individual, health, and neighborhood factors associated with the propensity to relocate. Retrospective analysis of data from the National SCI Model Systems (SCIMS) Database collected between 2006 and 2018 and linked with the American Community Survey 5-year estimates. Community. Not applicable. People with traumatic SCI (N=4599) who participated in 2 waves of follow-up and had residential geographic identifiers at the census tract level. Moving was a binary measure reflecting change in residential locations over a 5-year interval. Move distance distinguished nonmovers from local movers (different tracts within the same county) and long-distance movers (to different county or state). Move quality included 4 categories: stayed/low poverty tract, stayed/high poverty tract, moved/low poverty tract, and moved/high poverty tract. One in 4 people moved within a 5-year interval (n=1175). Of the movers, 55% relocated to a different census tract within the same county and 45% relocated to a different county or state. Thirty-five percent of all movers relocated to a high poverty census tract. Racial and ethnic minorities, people from low-income households, and younger adults were more likely to move, move locally, and relocate to a high poverty neighborhood. High poverty and racial/ethnic segregation in the origin neighborhood predicted an increased risk for remaining in or moving to a high poverty neighborhood. Although people with SCI relocated at a lower rate than has been reported in the general population, moving was a frequent occurrence postinjury. People from vulnerable groups were more likely to remain in or relocate to socioeconomically disadvantaged neighborhoods, thus increasing the risk for health disparities and poorer long-term outcomes among minorities and people from low-income households. These findings inform policy makers' considerations of housing, health care, and employment initiatives for individuals with SCI and other chronic disabilities.

Identifiants

pubmed: 34004163
pii: S0003-9993(21)00368-3
doi: 10.1016/j.apmr.2021.03.039
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

822-831

Informations de copyright

Copyright © 2021 The American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Amanda L Botticello (AL)

Kessler Foundation, West Orange, NJ; Rutgers New Jersey Medical School, Rutgers University, Newark, NJ. Electronic address: abotticello@kesslerfoundation.org.

Lauren Murphy (L)

Kessler Foundation, West Orange, NJ; Rutgers New Jersey Medical School, Rutgers University, Newark, NJ.

Jennifer Bogner (J)

Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, OH.

Michael Boninger (M)

Department of Physical Medicine and Rehabilitation, University of Pittsburgh School of Medicine, Pittsburgh, PA.

Thomas N Bryce (TN)

Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY.

Yuying Chen (Y)

University of Alabama at Birmingham, Birmingham, AL.

Allen W Heinemann (AW)

Shirley Ryan AbilityLab and Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL.

Mary Joan Roach (MJ)

Case Western Reserve University, Cleveland, OH; MetroHealth System, Cleveland, OH.

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Classifications MeSH