Rogers E Sally, Anthony William, Lyass Asya
Center for Psychiatric Rehabilitation, Sargent College of Health and Rehabilitation Services, Boston University, 940 Commonwealth Avenue West, Boston, MA 02215, USA.
Community Ment Health J. 2004 Oct;40(5):437-50. doi: 10.1023/b:comh.0000040657.48759.0e.
Recent research suggests that social support is associated with recovery from chronic diseases, greater life satisfaction, and enhanced ability to cope with life stressors. To further research in the area of social support and serious psychiatric disabilities, more reliable and valid measures are needed to assess this construct. The purpose of this study was to assess the psychometric properties of a widely used measure of social support (the Interpersonal Support Evaluation Checklist) among people with severe mental illness. We collected data on the ISEL's relationship to quality of life, self-esteem, psychiatric symptoms and vocational status among 147 participants. Factor and reliability analyses, as well as correlational analyses were undertaken. We found evidence for the reliability and validity of the ISEL when used with persons with severe mental illness. Taken together, our findings suggested that self-esteem, quality of life, and psychiatric symptoms were able to predict 38% of the variance in perceived social support. More favorable social supports increased the odds of being employed at 9 months into the study and social support was predictive of experiencing fewer psychiatric symptoms. Some forms of social support were perceived less favorably with age, but no other demographic or clinical variables significantly predicted perceived social supports.
近期研究表明,社会支持与慢性病康复、更高的生活满意度以及应对生活压力源能力的增强相关。为了进一步研究社会支持与严重精神残疾领域,需要更可靠、有效的测量方法来评估这一概念。本研究的目的是评估一种广泛使用的社会支持测量工具(人际支持评估清单)在重度精神疾病患者中的心理测量特性。我们收集了147名参与者中人际支持评估清单与生活质量、自尊、精神症状和职业状况之间关系的数据。进行了因子分析、可靠性分析以及相关性分析。我们发现人际支持评估清单用于重度精神疾病患者时具有可靠性和有效性。综合来看,我们的研究结果表明,自尊、生活质量和精神症状能够预测感知到的社会支持中38%的变异。更有利的社会支持增加了研究9个月时就业的几率,且社会支持可预测精神症状较少。某些形式的社会支持随年龄增长被感知的有利程度较低,但没有其他人口统计学或临床变量能显著预测感知到的社会支持。