Rajati Fatemeh, Ashtarian Hosein, Salari Nader, Ghanbari Masood, Naghibifar Zahra, Hosseini Seyed Younes
Departments of Health Education and Promotion, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
J Educ Health Promot. 2018 May 3;7:61. doi: 10.4103/jehp.jehp_115_17. eCollection 2018.
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).
A cross-sectional study was conducted.
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 univariate and multivariate regression models.
Gender, self-reported physical activity levels, use of the disability aid tools, and depression were significantly predictors of the physical component summary (PCS) ( = 0.20, < 0.001). We realized that anxiety, depression, and self-efficacy could significantly predict the mental component summary (MCS) ( = 0.43, < 0.001).
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.
与健康人相比，身体残疾者在社交活动中受到更多限制，这与幸福感较低和生活质量（QoL）较差有关。
进行了一项横断面研究。
本研究对302名符合条件的身体残疾者进行了调查。研究了人口统计学和临床特征、焦虑和抑郁、身体活动以及自我效能对36项简短健康调查（SF-36）的预测作用。
统计分析使用单变量和多变量回归模型。
性别、自我报告的身体活动水平、残疾辅助工具的使用以及抑郁是身体成分总结（PCS）的显著预测因素（=0.20，<0.001）。我们发现焦虑、抑郁和自我效能可以显著预测心理成分总结（MCS）（=0.43，<0.001）。
研究结果表明，四个和三个变量分别可以预测PCS和MCS变异的20%和43%。这些发现有必要检测QoL风险因素并建立针对性干预措施，以优化身体残疾者与健康相关的QoL。
