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Titre : | Latent Structural Analysis of Health Outcomes in People Living With Spinal Cord Injury (2017) |
Auteurs : | Chao Li ; Jillian M.R. Clark ; James S. Krause |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (2017/12, 2017) |
Article en page(s) : | p. 2457-2463 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Rééducation et réadaptation ; Santé ; Traumatismes de la moelle épinière |
Mots-clés: | Health ; Models ; structural ; Maquettes de structure ; Spinal cord injuries |
Résumé : |
Objective To develop a latent structural model of health outcomes in people with spinal cord injury (SCI) that accounts for the measurement of underlying factors and their association with demographic and injury-related exogenous variables. Design Cross-sectional study. Setting Specialty hospital and medical university. Participants Participants with traumatic SCI (N=1871) of at least 1-year duration. Interventions Not applicable. Main Outcome Measures Exploratory factor analysis was used to identify latent health outcome structures. Several key exogenous variables were also linked with the latent health outcome factors. Results Six latent health outcome factors were identified by the exploratory factor analysis with excellent model fit (root mean square error of approximation=.040). These latent factors included (1) global health problems; (2) chronic disease; (3) acute treatments; (4) symptoms of SCI complications, (5) pressure ulcers; and (6) subsequent injuries. Sex, race/ethnicity, age, years since injury, and injury severity were all significantly associated with at least 1 latent health outcome factor, which indicates that these latent health outcomes varied as a function of the exogenous variables. Conclusions This study improved our understanding of the structure of health outcomes, and utilization of latent health outcome factors provides more stable and comprehensive composite scores than does utilization of a single observed health outcome indicator. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999317303763 |