Predicting employment status and subjective quality of life in patients with schizophrenia.

Predicting employment status and subjective quality of life in patients with schizophrenia.
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DOI:
10.1016/j.scog.2015.10.005
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发表时间:
2016-03
期刊:
Schizophrenia research. Cognition
影响因子:
--
通讯作者:
Imura O
Imura O
中科院分区:
其他
文献类型:
--
作者:
Fujino H;Sumiyoshi C;Sumiyoshi T;Yasuda Y;Yamamori H;Ohi K;Fujimoto M;Hashimoto R;Takeda M;Imura O

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虽然社会功能受损,特别是就业状况不佳,是精神分裂症患者的主要特征,并导致生活质量下降,但很少有研究解决这两个临床问题之间的关系。本研究的目的是确定就业状态是否能预测主观生活质量,并评估功能能力在一般认知表现和就业状态之间的关系中的中介模型。93名精神分裂症患者接受了一系列全面的认知测试,包括UCSD基于表现的技能评估-简要版本(UPSA-B)、社会功能量表(SFS)和主观生活质量量表(SQLS)。首先,我们利用通径分析对预测就业/职业量表SFS得分的模型进行了评估,模型拟合良好(χ2 (4) = 3.6, p = 0.46;cfi = 1.0;RMSEA < 0.001, 90% ci: 0-0.152)。就业状况由负面症状和功能能力预测,而负面症状和功能能力又由一般认知表现预测。其次,我们将主观生活质量添加到该模型中。在最终路径模型中,生活质量由阴性症状和就业状况预测。该模型也满足良好的拟合标准(χ2 (7) = 10.3, p = 0.17;cfi = 0.987;RMSEA = 0.072, 90% ci: 0-0.159)。UPSA-B和SFS分数与大多数认知表现的测量有适度的相关性。这些结果支持了良好的就业状况可以提高精神分裂症患者主观生活质量的观点。
Although impaired social functioning, particularly poor employment status, is a cardinal feature of patients with schizophrenia and leads to decreased quality of life (QOL), few studies have addressed the relationship between these two clinical issues. The aim of this study was to determine whether employment status predicts subjective QOL and to evaluate a model in which functional capacity mediates the relationship between general cognitive performance and employment status. Ninety-three patients with schizophrenia were administered a comprehensive battery of cognitive tests, the UCSD Performance-based Skills Assessment-Brief version (UPSA-B), the Social Functioning Scale (SFS), and the Subjective Quality of Life Scale (SQLS). First, we evaluated a model for predicting the employment/occupation subscale score of the SFS using path analysis, and the model fitted well (χ2 (4) = 3.6, p = 0.46; CFI = 1.0; RMSEA < 0.001, with 90% CIs: 0–0.152). Employment status was predicted by negative symptoms and functional capacity, which was in turn predicted by general cognitive performance. Second, we added subjective QOL to this model. In a final path model, QOL was predicted by negative symptoms and employment status. This model also satisfied good fit criteria (χ2 (7) = 10.3, p = 0.17; CFI = 0.987; RMSEA = 0.072, with 90% CIs: 0–0.159). The UPSA-B and SFS scores were moderately correlated with most measures of cognitive performance. These results support the notion that better employment status enhances subjective QOL in patients with schizophrenia.