Evidence map›Paper›PMID 41960362›Full record

ArticleThe South African journal of physiotherapy2026

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

Joyce Mothabeng, Chiedozie Eleje, Martins Nweke

Abstract read
In one paragraph

Article in The South African journal of physiotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Joyce MothabengDepartment of Physiotherapy, Faculty of Health Sciences, University of Pretoria, Tshwane, South Africa.ORCID https://orcid.org/0000-0003-4535-6652
Chiedozie ElejeDepartment of Physiotherapy, Faculty of Health Sciences, David UmahI Federal University of Health Sciences, Uburu, Nigeria.ORCID https://orcid.org/0000-0002-1712-2763
Martins NwekeDepartment of Physiotherapy, Faculty of Health Sciences, University of Pretoria, Tshwane, South Africa.ORCID https://orcid.org/0000-0002-9493-9443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

Africacommunity reintegrationcross-sectional studiesinjury factorsrehabilitationsecondary data analysissociodemographic factorsspinal cord injury

Identifiers

PMID41960362
PMCPMC13058539

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