Predictors of social integration for individuals with brain injury: An application of the ICF model. (5th December 2016)
- Record Type:
- Journal Article
- Title:
- Predictors of social integration for individuals with brain injury: An application of the ICF model. (5th December 2016)
- Main Title:
- Predictors of social integration for individuals with brain injury: An application of the ICF model
- Authors:
- Ditchman, Nicole
Sheehan, Lindsay
Rafajko, Sean
Haak, Christopher
Kazukauskas, Kelly - Abstract:
- Abstract: Objective : People with brain injury often experience significant challenges to social and community engagement following injury. The purpose of this study was to investigate factors impacting social integration for adults with brain injury using the International Classification and Functioning, Disability and Health (ICF) as a conceptual model. Methods : Adults with brain injury ( n = 103) recruited through two US state brain injury associations participated in a survey study. Hierarchical regression analysis was used to examine the predictive impact of components of the ICF model on social integration outcomes. Specifically, demographic (age, gender, SES), disability (severity of functional limitations), personal (disability acceptance, social self-efficacy) and environmental (neighbourhood climate, stigma, social support network) factors were entered as four conceptual groups of predictors to examine the incremental contribution of the variance in social integration explained by each set. Results : As hypothesized, the inclusion of each block of predictors significantly improved the model. The overall regression model explained 41% of the variance in social integration. Specifically, SES ( β = 0.25), severity of functional limitations ( β = 0.29) and social support network ( β = 0.29) emerged as the strongest independent predictors. Conclusion : Findings from this study highlight the importance of adopting a biopsychosocial approach to understanding socialAbstract: Objective : People with brain injury often experience significant challenges to social and community engagement following injury. The purpose of this study was to investigate factors impacting social integration for adults with brain injury using the International Classification and Functioning, Disability and Health (ICF) as a conceptual model. Methods : Adults with brain injury ( n = 103) recruited through two US state brain injury associations participated in a survey study. Hierarchical regression analysis was used to examine the predictive impact of components of the ICF model on social integration outcomes. Specifically, demographic (age, gender, SES), disability (severity of functional limitations), personal (disability acceptance, social self-efficacy) and environmental (neighbourhood climate, stigma, social support network) factors were entered as four conceptual groups of predictors to examine the incremental contribution of the variance in social integration explained by each set. Results : As hypothesized, the inclusion of each block of predictors significantly improved the model. The overall regression model explained 41% of the variance in social integration. Specifically, SES ( β = 0.25), severity of functional limitations ( β = 0.29) and social support network ( β = 0.29) emerged as the strongest independent predictors. Conclusion : Findings from this study highlight the importance of adopting a biopsychosocial approach to understanding social integration for people with brain injury. … (more)
- Is Part Of:
- Brain injury. Volume 30:Number 13/14(2016)
- Journal:
- Brain injury
- Issue:
- Volume 30:Number 13/14(2016)
- Issue Display:
- Volume 30, Issue 13/14 (2016)
- Year:
- 2016
- Volume:
- 30
- Issue:
- 13/14
- Issue Sort Value:
- 2016-0030-NaN-0000
- Page Start:
- 1581
- Page End:
- 1589
- Publication Date:
- 2016-12-05
- Subjects:
- Brain injury -- community integration -- participation -- biopsychosocial -- ICF
Brain damage -- Periodicals
Brain -- Wounds and injuries -- Periodicals
Brain Injuries -- Periodicals
617.481 - Journal URLs:
- http://informahealthcare.com/loi/bij ↗
http://www.tandf.co.uk/journals/alphalist.html ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/02699052.2016.1199900 ↗
- Languages:
- English
- ISSNs:
- 0269-9052
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2268.132000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 489.xml