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Factor structure of the Chinese version of the Pittsburgh Sleep Quality Index in breast cancer patients

机译:匹兹堡睡眠质量指数中文版乳腺癌患者的因子结构

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Objective: The Pittsburgh Sleep Quality Index (PSQI) is used extensively to assess subjective sleep disturbance in cancer populations. Although previous studies on the PSQI suggested a better fit for a two- or three-factor model than the original one-factor model, none accounted for the indicator-specific effect between sleep duration and habitual sleep efficiency. This study evaluated the PSQI's dimensionality and its convergent validity with cancer-related psychopathological states in female breast cancer patients. Methods: The PSQI was administered to 197 women with breast cancer. Confirmatory factor analysis examined the relative fit of one-, two-, three-, and revised one-factor models. The PSQI's convergent validity was evaluated via bivariate correlations between the PSQI factor scores and measures of anxiety, depression, fatigue, pain, and quality of life. Results: Confirmatory factor analyses showed an adequate fit for the revised one-factor model with the PSQI global score as the overall index of sleep disturbance. Although the revised one- and two-factor solutions showed statistically equivalent model fits, the one-factor model was selected due to utility reasons. The severity of sleep dysfunction that the PSQI global score represented was positively correlated with anxiety, depression, fatigue, pain, and reduced quality of life. Conclusion: The results support the PSQI's original unidimensional structure, demonstrating that the PSQI global score is a valid and parsimonious measure for assessing and screening sleep dysfunction in cancer patients.
机译:目的:匹兹堡睡眠质量指数(PSQI)被广泛用于评估癌症人群的主观睡眠障碍。尽管先前对PSQI的研究表明,与原始一因素模型相比,两因素或三因素模型更适合,但没有一个因素可以解释睡眠持续时间与习惯性睡眠效率之间的指标特异性影响。这项研究评估了女性乳腺癌患者PSQI的维度及其与癌症相关的心理病理状态的收敛效度。方法:对197名乳腺癌女性进行PSQI治疗。验证性因素分析检查了一因素模型,二因素模型,三因素模型和修正的一因素模型的相对拟合。 PSQI的收敛效度是通过PSQI因子得分与焦虑,抑郁,疲劳,疼痛和生活质量的量度之间的二元相关性来评估的。结果:验证性因素分析显示,以PSQI总体评分作为睡眠障碍的总体指标,该修正后的单因素模型非常合适。尽管修订后的一因素和二因素解决方案显示出统计上等效的模型拟合,但由于实用性原因选择了一因素模型。 PSQI全球评分所代表的睡眠功能障碍的严重程度与焦虑,抑郁,疲劳,疼痛和生活质量下降呈正相关。结论:结果支持PSQI的原始一维结构,表明PSQI总体评分是评估和筛查癌症患者睡眠障碍的有效且简约的方法。

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