Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.

IF 2.1 4区 医学 Q3 CLINICAL NEUROLOGY
Sleep and Breathing Pub Date : 2024-10-01 Epub Date: 2024-06-27 DOI:10.1007/s11325-024-03041-0
Yu-Han Chang, Hsun-Hua Lee, Yi-Shu Liao, Ta-Wei Guu, Shu-Liu Guo, Faizul Hasan, Ya-Wen Jan, Hsin-Chien Lee, Hsiao-Yean Chiu
{"title":"Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.","authors":"Yu-Han Chang, Hsun-Hua Lee, Yi-Shu Liao, Ta-Wei Guu, Shu-Liu Guo, Faizul Hasan, Ya-Wen Jan, Hsin-Chien Lee, Hsiao-Yean Chiu","doi":"10.1007/s11325-024-03041-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Insomnia is a prevalent sleep disorder among patients undergoing hemodialysis for chronic kidney disease. This study aimed to translate the sleep condition indicator (SCI), an insomnia screening tool based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), into a traditional Chinese version (SCI-TC) and evaluate the reliability and validity of this version for patients undergoing hemodialysis.</p><p><strong>Methods: </strong>This cross-sectional study conducted from November 2022 to June 2023 involved 200 patients on hemodialysis (mean age, 65.56 years; 61.5% men). Participants completed a series of questionnaires, with insomnia diagnosed according to DSM-5 criteria as the gold standard. A receiver operating characteristic (ROC) curve analysis was conducted to examine the sensitivity and specificity of the SCI-TC.</p><p><strong>Results: </strong>According to the DSM-5 criteria, 38% of the participants had insomnia. Cronbach's alpha for the SCI-TC was 0.92. The SCI-TC exhibited a good fit as a two-factor model, and its scores were significantly associated with those of the traditional Chinese versions of the Insomnia Severity Index, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, EuroQol 5-Dimensions scale, and EuroQol Visual Analogue Scale (r =  - 0.94, - 0.53, - 0.38, 0.27, and 0.30, respectively; all p < 0.05). The ROC curve analysis revealed an optimal cutoff of 16 points, with the sensitivity, specificity, and area under curve of 88.2%, 84.7%, and 0.91(95% confidence interval, 0.87-0.95), respectively.</p><p><strong>Conclusion: </strong>The SCI-TC demonstrates robust reliability and validity in detecting insomnia among patients undergoing hemodialysis. These findings suggest that health-care providers should considering using the SCI as an easy-to-use tool for the timely detection of insomnia in this population.</p>","PeriodicalId":21862,"journal":{"name":"Sleep and Breathing","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep and Breathing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11325-024-03041-0","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Insomnia is a prevalent sleep disorder among patients undergoing hemodialysis for chronic kidney disease. This study aimed to translate the sleep condition indicator (SCI), an insomnia screening tool based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), into a traditional Chinese version (SCI-TC) and evaluate the reliability and validity of this version for patients undergoing hemodialysis.

Methods: This cross-sectional study conducted from November 2022 to June 2023 involved 200 patients on hemodialysis (mean age, 65.56 years; 61.5% men). Participants completed a series of questionnaires, with insomnia diagnosed according to DSM-5 criteria as the gold standard. A receiver operating characteristic (ROC) curve analysis was conducted to examine the sensitivity and specificity of the SCI-TC.

Results: According to the DSM-5 criteria, 38% of the participants had insomnia. Cronbach's alpha for the SCI-TC was 0.92. The SCI-TC exhibited a good fit as a two-factor model, and its scores were significantly associated with those of the traditional Chinese versions of the Insomnia Severity Index, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, EuroQol 5-Dimensions scale, and EuroQol Visual Analogue Scale (r =  - 0.94, - 0.53, - 0.38, 0.27, and 0.30, respectively; all p < 0.05). The ROC curve analysis revealed an optimal cutoff of 16 points, with the sensitivity, specificity, and area under curve of 88.2%, 84.7%, and 0.91(95% confidence interval, 0.87-0.95), respectively.

Conclusion: The SCI-TC demonstrates robust reliability and validity in detecting insomnia among patients undergoing hemodialysis. These findings suggest that health-care providers should considering using the SCI as an easy-to-use tool for the timely detection of insomnia in this population.

Abstract Image

繁体中文版血液透析患者睡眠状况指标的心理计量学和结构特性。
目的:失眠是慢性肾病血液透析患者中普遍存在的睡眠障碍。本研究旨在将基于《精神疾病诊断与统计手册》第五版(DSM-5)的失眠筛查工具--睡眠状况指标(SCI)翻译成繁体中文版(SCI-TC),并评估该版本在血液透析患者中的信度和效度:这项横断面研究于 2022 年 11 月至 2023 年 6 月进行,涉及 200 名血液透析患者(平均年龄 65.56 岁,61.5% 为男性)。参与者填写了一系列调查问卷,失眠诊断以 DSM-5 标准为金标准。对 SCI-TC 的灵敏度和特异性进行了接收器操作特征(ROC)曲线分析:根据 DSM-5 标准,38% 的参与者患有失眠症。SCI-TC 的 Cronbach's alpha 为 0.92。SCI-TC的双因素模型拟合良好,其得分与中文繁体版失眠严重程度指数、患者健康问卷-9、广泛性焦虑症-7、EuroQol五维度量表和EuroQol视觉模拟量表的得分有显著相关性(r = - 0.94、- 0.53、- 0.38、0.27和0.30,均为p 结论:SCI-TC显示出其稳健性和特异性,并与中文繁体版失眠严重程度指数、患者健康问卷-9、广泛性焦虑症-7、EuroQol五维度量表和EuroQol视觉模拟量表的得分有显著相关性:SCI-TC在检测血液透析患者的失眠症方面具有很高的可靠性和有效性。这些研究结果表明,医疗服务提供者应考虑将 SCI 作为一种易于使用的工具,用于及时发现这类人群的失眠症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Sleep and Breathing
Sleep and Breathing 医学-呼吸系统
CiteScore
5.20
自引率
4.00%
发文量
222
审稿时长
3-8 weeks
期刊介绍: The journal Sleep and Breathing aims to reflect the state of the art in the international science and practice of sleep medicine. The journal is based on the recognition that management of sleep disorders requires a multi-disciplinary approach and diverse perspectives. The initial focus of Sleep and Breathing is on timely and original studies that collect, intervene, or otherwise inform all clinicians and scientists in medicine, dentistry and oral surgery, otolaryngology, and epidemiology on the management of the upper airway during sleep. Furthermore, Sleep and Breathing endeavors to bring readers cutting edge information about all evolving aspects of common sleep disorders or disruptions, such as insomnia and shift work. The journal includes not only patient studies, but also studies that emphasize the principles of physiology and pathophysiology or illustrate potentially novel approaches to diagnosis and treatment. In addition, the journal features articles that describe patient-oriented and cost-benefit health outcomes research. Thus, with peer review by an international Editorial Board and prompt English-language publication, Sleep and Breathing provides rapid dissemination of clinical and clinically related scientific information. But it also does more: it is dedicated to making the most important developments in sleep disordered breathing easily accessible to clinicians who are treating sleep apnea by presenting well-chosen, well-written, and highly organized information that is useful for patient care.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信