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 Alabama enrolled in the SCIMS database in 2000 to 2009. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Dichotomous measures of perceived health (ill vs good health), life satisfaction (dissatisfied vs satisfied), and depressive symptoms (presence of a syndrome vs not) to assess well-being. RESULTS: Multilevel logistic regression was used to model community effects on each indicator of well-being. The likelihood of ill health and dissatisfaction with life in people with SCI, but not depressive symptoms, varied across communities. Community SES was related inversely to the odds of reporting ill health. However, the odds for dissatisfaction were higher in persons with SCI living in high SES and urban communities. Associations between community predictors and dissatisfaction with life were sustained after controlling for individual differences in injury severity, SES, and demographics, whereas individual SES was a stronger predictor of ill health than community SES. CONCLUSION: This research suggests that community stratification influences the likelihood for diminished well-being for persons with SCI after rehabilitation. Understanding the contribution of communities in long-term outcomes after SCI rehabilitation is needed to inform future interventions aimed at preventing disability in this population.
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 Alabama enrolled in the SCIMS database in 2000 to 2009. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Dichotomous measures of perceived health (ill vs good health), life satisfaction (dissatisfied vs satisfied), and depressive symptoms (presence of a syndrome vs not) to assess well-being. RESULTS: Multilevel logistic regression was used to model community effects on each indicator of well-being. The likelihood of ill health and dissatisfaction with life in people with SCI, but not depressive symptoms, varied across communities. Community SES was related inversely to the odds of reporting ill health. However, the odds for dissatisfaction were higher in persons with SCI living in high SES and urban communities. Associations between community predictors and dissatisfaction with life were sustained after controlling for individual differences in injury severity, SES, and demographics, whereas individual SES was a stronger predictor of ill health than community SES. CONCLUSION: This research suggests that community stratification influences the likelihood for diminished well-being for persons with SCI after rehabilitation. Understanding the contribution of communities in long-term outcomes after SCI rehabilitation is needed to inform future interventions aimed at preventing disability in this population.
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