2011
DOI: 10.1016/j.apmr.2010.08.028
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Do Communities Matter After Rehabilitation? The Effect of Socioeconomic and Urban Stratification on Well-Being After Spinal Cord Injury

Abstract: Do communities matter after rehabilitation? The effect of socioeconomic and urban stratification on well-being after spinal cord injury. Objective To assess the influence of community-level socioeconomic status (SES) and urban composition on well-being after spinal cord injury (SCI) rehabilitation. Design Retrospective analysis of cross-sectional survey data. Setting Two participating centers in the SCI Model Systems (SCIMS) program. Participants Persons (N=1454) with traumatic SCI from New Jersey and A… Show more

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Cited by 36 publications
(17 citation statements)
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“…Lower levels of education were found to be associated with lower levels of life satisfaction, [14] poorer self-reported well-being, [15] lower levels of exercise participation, [16] lower levels of rehabilitation enrollment [17] and an increased chance of being disabled. [18] All studies were at risk of measurement bias due to the use of self-reported assessment for education status.…”
Section: Educationmentioning
confidence: 92%
“…Lower levels of education were found to be associated with lower levels of life satisfaction, [14] poorer self-reported well-being, [15] lower levels of exercise participation, [16] lower levels of rehabilitation enrollment [17] and an increased chance of being disabled. [18] All studies were at risk of measurement bias due to the use of self-reported assessment for education status.…”
Section: Educationmentioning
confidence: 92%
“…For the analysis, age was dichotomized as under 55 and 55 years and above. An index of socioeconomic (SES) advantage used in prior research (45, 46) was created from six tract-level SES indicators (household income, home values, percentages residents with interest income, high school degrees, college degrees, and in high status occupations) extracted from five-year estimates from the American Community Survey released in 2011(47) and added as a proxy of individual SES.…”
Section: Methodsmentioning
confidence: 99%
“…Currently, 14 rehabilitation centers across the US are funded by the National Institute for Disability Research and Rehabilitation to collect data for the SCIMS program. With the approval of local institutional review boards, two of these centers—New Jersey and Alabama—collaborated to pilot the use of geographic identifiers to link individual outcomes data from the SCIMS database with area-level data from administrative databases (Botticello et al, 2011). …”
Section: Methodsmentioning
confidence: 99%
“…Several economic indicators were extracted from Census data: 1) the employment rate, 2) the percent of the population residing within an urban area, and 3) measures of household income (annual and interest income), housing values, education (high school and college completion), and the portion of residents employed in high status occupations combined to create an aggregate area-level socioeconomic index. This index was developed by Diez-Roux and colleagues (2001) and applied in various analyses of the relationship between community stratification and health (Botticello et al, 2011; Echeverria et al, 2008). The final standardized SES score had a mean of 0 and standard deviation of 1 for the 76 areas and a higher score corresponds with a higher level of SES.…”
Section: Methodsmentioning
confidence: 99%