Quality of life predictors in physically disabled people

Abstract

Background: Physically disabled people experience more restrictions in social activities than healthy people, which are associated with lower level of well-being and poor quality of life (QoL). Study Design: A cross-sectional study was conducted Methods: This study was investigated on among 302 eligible physically disabled people. The predictive role of the demographics and clinical characteristics, anxiety and depression, physical activity, and self-efficacy on the 36-Item Short Form Health Survey (SF-36) was examined. Statistical Analysis Used: Statistical analysis used univariate and multivariate regression models. Results: Gender, self-reported physical activity levels, use of the disability aid tools, and depression were significantly predictors of the physical component summary (PCS) (R2 = 0.20, P < 0.001). We realized that anxiety, depression, and self-efficacy could significantly predict the mental component summary (MCS) (R2 = 0.43, P < 0.001). Conclusions: Study results revealed that four and three variables could predict 20% and 43% of PCS and MCS variations, respectively. These findings warranted the detection of QoL risk factors and establishment of targeted interventions to optimize the health-related QoL among physically disabled people.

Keywords

• Disability
• hospital anxiety and depression scale
• predictors
• quality of life
• regression analysis
• SF-36