Document Type : Original Article
Authors
- . Fatemeh Rajati
- . Hosein Ashtarian
- . Nader Salari 1
- . Masood Ghanbari 2
- . Zahra Naghibifar 3
- . Seyed Younes Hosseini 4
1 1 Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences
2 Department of Occupational Health, School of Public Health, Kermanshah University of Medical Sciences,
3 Students Research Committee, Kermanshah University of Medical Sciences
4 Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
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:
Keywords
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