Association between sociodemographic and injury factors in community reintegration following spinal cord injury: An analysis of two datasets.

Background: Community reintegration after spinal cord injury (SCI) is influenced by personal and injury-related factors. However, data from two South African studies examining these associations have not been jointly analysed. Objectives: Our study aimed to examine the association between sociodemog...

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Publicado en:South African Journal of Physiotherapy Vol. 82; no. 1; pp. 1 - 9
Autores principales: Mothabeng, Joyce, Eleje, Chiedozie, Nweke, Martins
Formato: research tables/charts Journal Article
Publicado: African Online Scientific Information System PTY LTD 2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2026
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        atl: Association between sociodemographic and injury factors in community reintegration following spinal cord injury: An analysis of two datasets.
      aug:
        au:
          Mothabeng, Joyce
          Eleje, Chiedozie
          Nweke, Martins
        affil: Department of Physiotherapy, Faculty of Health Sciences, University of Pretoria, Tshwane, South Africa
      sug:
        subj:
          Spinal Cord Injuries Rehabilitation
          Community Reintegration Psychosocial Factors
          Injury Pattern Evaluation
          Sociodemographic Factors Evaluation
          Human
          Male
          Female
          South Africa
          Academic Medical Centers
          Secondary Analysis
          Cross Sectional Studies
          Comparative Studies
          Descriptive Statistics
          Data Analysis Software
          Questionnaires
          Chi Square Test
          Fisher's Exact Test
          Rehabilitation Centers
          Rehabilitation Patients
          Nonprobability Sample
          Convenience Sample
          Adolescence
          Adult
          Middle Age
          Aged
          Age Factors
          Sex Factors
          Community Living
          Quality of Life Evaluation
          Severity of Injury
          Trauma Severity Indices
          Employment Status
          Support, Social
          Activities of Daily Living
          Social Participation Evaluation
          Socioeconomic Factors Evaluation
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Background: Community reintegration after spinal cord injury (SCI) is influenced by personal and injury-related factors. However, data from two South African studies examining these associations have not been jointly analysed. Objectives: Our study aimed to examine the association between sociodemographic and injury-related factors and community reintegration among people with spinal cord injury (PWSCI). Method: Secondary data analysis was conducted using two cross-sectional South African datasets comprising 182 PWSCI. The datasets met the predefined homogeneity criteria and were analysed separately and as a pooled dataset. Community reintegration was measured using the Reintegration to Normal Living Index (RNLI). Descriptive statistics were used to summarise participant characteristics, while Chi-square and Fisher's exact tests were applied to examine associations between explanatory variables and community reintegration outcomes. Results: In the pooled analysis, better community reintegration was significantly associated with younger age (< 55 years), female sex and employment (p < 0.05). Participants with thoracic and lumbar injuries showed higher levels of reintegration than those with cervical injuries although this association was not statistically significant. Injury severity and aetiology were not significantly associated with community reintegration. Conclusion: Younger age, female sex and favourable social circumstances, particularly employment, are associated with better community reintegration among PWSCI. These findings highlight the importance of considering the sociodemographic context and injury characteristics when planning rehabilitation and community-based support interventions. Clinical implications: Early identification of older and unemployed PWSCI may help clinicians target individuals at a higher risk of poor community reintegration and guide tailored rehabilitation strategies.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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