Journal of Education and Health Promotion 2277-9531 8 5 2018 05 01 Quality of life predictors in physically disabled people 1 8 27805 EN . Fatemeh Rajati . Hosein Ashtarian . Nader Salari 1 Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences . Masood Ghanbari Department of Occupational Health, School of Public Health, Kermanshah University of Medical Sciences, . Zahra Naghibifar Students Research Committee, Kermanshah University of Medical Sciences . Seyed Younes Hosseini Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran Journal Article 2023 02 12 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:

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