ArticleSpinal cord2022
Predicting change in labour market participation of people with spinal cord injury (SCI): longitudinal evidence from the Swiss SCI community survey.
Article in Spinal cord, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Real-world participation after spinal cord injury: longitudinal associations with return to work and long-term social integration.European journal of physical and rehabilitation medicine · 2026Article
- Disability trajectories individuals with spinal cord injury in mainland China: do psychosocial resources and diseases factors predict trajectories?Spinal cord · 2025Observational
- Factors related to sustainable employment of people with acquired brain injury or spinal cord injury: The employer's perspective.Frontiers in rehabilitation sciences · 2022Article
- Facilitators and Barriers to Sustainable Employment After Spinal Cord Injury or Acquired Brain Injury: The Person's Perspective.Frontiers in rehabilitation sciences · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
STUDY
designLongitudinal, population-based survey.
objectiveTo examine change in labour market participation (LMP) of people with spinal cord injury (SCI) living in Switzerland and to identify predictors of increase, decrease and stability in LMP between 2012 and 2017.
settingCommunity.
methodsLongitudinal information on LMP (i.e., weekly workload) was obtained from 311 gainfully employed, working-age individuals who participated in the Swiss Spinal Cord Injury Cohort Study (SwiSCI) community survey in 2012 and were still of working age at the time of completing the 2017 questionnaire. Statistical preselection of the predictors of change in LMP was carried out by implementing the least absolute shrinkage and selection operator (LASSO) in a multinomial logistic regression model. The final set of predictors was selected by comparison of several multinomial logistic regression models.
resultsOut of 311 participants, almost half (43%) changed their LMP between 2012 and 2017, 48 increased their weekly workload, 49 reduced and 37 participants left the labour market prematurely. Age at time of the survey, years of education, having children, intention to change weekly workload, high satisfaction with daily routine, extra-time needs for transportation and managing support were associated with change in LMP.
conclusionsModifiable factors like education and satisfaction with daily routine should receive particular attention in the context of job retention strategies. More longitudinal research focusing on key employment transitions and trajectories over the life course of persons with SCI is needed to complement, validate and extend our findings.
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