Adaptation and validation of the Chinese version of the Sleep Quality Questionnaire
Adaptation and validation of the Chinese version of the Sleep Quality Questionnaire
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DOI：
10.1007/s11136-022-03241-9
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发表时间：
2022-09-20
影响因子：
3.5
通讯作者：
Gozal, David
中科院分区：
文献类型：
--
作者：
Meng, Runtang;Kato, Tsukasa;Gozal, David
研究目的睡眠质量对健康至关重要。本研究旨在对睡眠质量问卷(SQQ)进行中文版的改编和验证。方法参照跨文化适应指南编制SQQ-C中文版。遵循Cosmin方法，基线数据(N=13,325)检验了三个效度域和内部一致性，包括使用内容效度指数(CVI)和认知汇报和焦点小组(相关性、全面性和综合性)的内容效度，使用结构效度和横断面测量不变性的结构效度，以及使用并发/收敛效度的标准效度。在168(167-207)h的平均时间间隔内收集的随访数据(N=3410)用组内相关系数(ICC)评估纵向测量不变性和重测信度。结果量表水平的CVI/Average等于0.922，项目水平的CVI在0.889~1.000(优秀)之间，除项目2(0.556-可)外。一个由当地专家和当地与会者组成的小组在认知情况汇报和重点小组会议上表示，该报告具有足够的相关性和理解性，但在全面性方面略有不足。验证性因素分析表明，由日间嗜睡量表和睡眠困难子量表组成的双因素结构稳定，从基线到随访数据。SQQ-C-9(不含第2项)的表现优于SQQ-C-10(完整表格)。SQQ-C-9提供了跨子组(队列、性别和年龄)和跨时间的测量不变性(严格)的证据。SQQ-C与中国人非恢复性睡眠量表和中国人睡眠状况指标呈负相关。Cronbach‘s Alpha(Alpha)、麦当劳欧米茄(Omega)和ICC在总量表和每个分量表上的范围分别为0.712到0.838、0.723到0.840和0.738到0.764。结论SQQ-C具有良好的心理测量学特性和稳定的双因素结构，可以在临床和研究环境中进行有价值的睡眠质量评估。
Study objectives Sleep quality is essential to health. The current study aimed to adapt and validate the Sleep Quality Questionnaire (SQQ) into Chinese language. Methods The Chinese version of the SQQ (SQQ-C) was created following the guidelines for cross-cultural adaptation. Compliant with the COSMIN methodology, baseline data (N = 13,325) examined three validity domains and internal consistency, including content validity using the content validity index (CVI) and the cognitive debriefing and focus group (relevance, comprehensiveness and comprehensibility), construct validity using structural validity and cross-sectional measurement invariance, and criterion validity using concurrent/convergent validity. Follow-up data (N = 3410) gathered within a mean of 168 (167-207) h interval were used to additionally assess longitudinal measurement invariance and test-retest reliability using intraclass correlation coefficient (ICC). Results Scale-level CVI/Average was equal to 0.922; Item-level CVIs ranged from 0.889 to 1.000 (excellent), except for item 2 (0.556-fair). A panel of local experts and local participants during cognitive debriefing and focus group stated that it had sufficient relevance and comprehensibility but a slight deficiency in comprehensiveness. Confirmatory factor analysis indicated a stable two-factor structure encompassing Daytime Sleepiness Subscale and Sleep Difficulty Subscale from baseline to follow-up data. The SQQ-C-9 (without item 2) outperformed the SQQ-C-10 (full form). The SQQ-C-9 provided evidence of measurement invariance (strict) across subgroups (cohorts, gender, and age) and across time. The SQQ-C was negatively correlated with the Chinese Nonrestorative Sleep Scale and the Chinese Sleep Condition Indicator. Cronbach's alpha (alpha), McDonald's Omega (omega), and ICC, respectively, ranged from 0.712 to 0.838, 0.723 to 0.840, and 0.738 to 0.764 for total scale and each subscale. Conclusion The SQQ-C exhibits adequate psychometric properties and a stable two-factor structure, and should enable valuable assessments of sleep quality in clinical and research settings.