Applied Evidence

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

The South African journal of physiotherapy · 2026 · Other · PT · OT

Joyce Mothabeng, Chiedozie Eleje, Martins Nweke

PMID 41960362

Being younger and employed was linked to fuller community reintegration in 182 people with spinal cord injury in South Africa.

Injury level, severity, and type were not associated with reintegration.

Key findings

1Younger participants (under 55) and employed participants were more likely to report full community reintegration. The age association was consistent across both individual datasets and the pooled analysis.

2Injury level, injury severity, and type of injury (traumatic versus non-traumatic) were not significantly associated with community reintegration in the pooled analysis, though thoracic and lumbar injuries trended toward higher reintegration than cervical.

3Female participants were more frequently in the moderate reintegration category than male participants. This pattern was significant in the pooled analysis and in one of the two individual datasets, but not the other.

Still to come

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What it does not show

Cross-sectional design: the associations reflect a single point in time and cannot show that changing age, employment, or injury characteristics would change reintegration. Convenience sampling in both primary studies limits how far the findings can be generalised to all people with SCI in South Africa. Complete case analysis: records with any missing data were excluded, which may have introduced selection bias if the excluded participants differed from those included. No multivariable adjustment was possible, so the associations may be confounded by unmeasured factors such as time since injury, environmental accessibility, and transport availability. The two datasets differed in sex distribution, employment status, and injury-level composition, which may have influenced the pooled estimates. The employment association was not significant in either individual dataset and only reached significance in the pooled analysis, so it is less robust than the age finding.

Declared interests

The authors state that the research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. No conflicts of interest are declared.

The easy way to misread this

Do not read the employment finding as a robust effect. It was not significant in either individual dataset and only reached significance in the pooled analysis (p = 0.030). The cross-sectional design also means none of these associations show that changing employment or age would change reintegration.

Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →