• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
The National Healthy Sleep Awareness Project Sleep Health Surveillance Questionnaire as an Obstructive Sleep Apnea Surveillance Tool.《国家健康睡眠意识项目睡眠健康监测调查问卷》作为阻塞性睡眠呼吸暂停监测工具。
J Clin Sleep Med. 2017 Sep 15;13(9):1067-1074. doi: 10.5664/jcsm.6724.
2
Predictive ability and reliability of the STOP-BANG questionnaire in screening for obstructive sleep apnea in midlife women.中龄女性阻塞性睡眠呼吸暂停筛查中 STOP-BANG 问卷的预测能力和可靠性。
Maturitas. 2020 May;135:1-5. doi: 10.1016/j.maturitas.2020.02.004. Epub 2020 Feb 11.
3
STOP-Bang Questionnaire: A Practical Approach to Screen for Obstructive Sleep Apnea.STOP-Bang问卷:一种筛查阻塞性睡眠呼吸暂停的实用方法。
Chest. 2016 Mar;149(3):631-8. doi: 10.1378/chest.15-0903. Epub 2016 Jan 12.
4
Predicting obstructive sleep apnea using the STOP-Bang questionnaire in the general population.在普通人群中使用STOP-Bang问卷预测阻塞性睡眠呼吸暂停。
Sleep Med. 2016 Nov-Dec;27-28:66-71. doi: 10.1016/j.sleep.2016.06.034. Epub 2016 Oct 27.
5
Persistent snoring under conscious sedation during colonoscopy is a predictor of obstructive sleep apnea.在结肠镜检查期间清醒镇静下持续打鼾是阻塞性睡眠呼吸暂停的预测指标。
Gastrointest Endosc. 2010 Jun;71(7):1224-30. doi: 10.1016/j.gie.2009.11.049. Epub 2010 Mar 20.
6
The STOP-BANG questionnaire shows an insufficient specificity for detecting obstructive sleep apnea in patients with atrial fibrillation.STOP-BANG 问卷在检测房颤患者阻塞性睡眠呼吸暂停方面特异性不足。
J Sleep Res. 2018 Dec;27(6):e12702. doi: 10.1111/jsr.12702. Epub 2018 Apr 22.
7
Predicting obstructive sleep apnea among women candidates for bariatric surgery.预测接受减重手术的女性患者中阻塞性睡眠呼吸暂停的发生。
J Womens Health (Larchmt). 2010 Oct;19(10):1833-41. doi: 10.1089/jwh.2009.1859.
8
Assessing the likelihood of obstructive sleep apnea: a comparison of nine screening questionnaires.评估阻塞性睡眠呼吸暂停的可能性:九种筛查问卷的比较
Sleep Breath. 2017 Dec;21(4):909-917. doi: 10.1007/s11325-017-1495-4. Epub 2017 Apr 1.
9
Preoperatively Screened Obstructive Sleep Apnea Is Associated With Worse Postoperative Outcomes Than Previously Diagnosed Obstructive Sleep Apnea.术前筛查出的阻塞性睡眠呼吸暂停与术后结果较差有关,比先前诊断出的阻塞性睡眠呼吸暂停更严重。
Anesth Analg. 2017 Aug;125(2):593-602. doi: 10.1213/ANE.0000000000002241.
10
Validation of NoSAS (Neck, Obesity, Snoring, Age, Sex) score as a screening tool for obstructive sleep apnea: Analysis in a sleep clinic.NoSAS(颈部、肥胖、打鼾、年龄、性别)评分作为阻塞性睡眠呼吸暂停筛查工具的验证:睡眠诊所分析。
Pulmonology. 2019 Sep-Oct;25(5):263-270. doi: 10.1016/j.pulmoe.2019.04.004. Epub 2019 Jun 10.

引用本文的文献

1
High Body Roundness Index Is Associated With Unhealthy Sleep Patterns: Insights From NHANES (2007-2014).高身体圆润度指数与不健康睡眠模式相关:来自美国国家健康与营养检查调查(2007 - 2014)的见解
Brain Behav. 2025 Jan;15(1):e70224. doi: 10.1002/brb3.70224.
2
Monitoring the sleep health of adults: a scoping review of routine national surveillance systems.监测成年人的睡眠健康:对国家常规监测系统的范围界定综述
Sleep Adv. 2024 Aug 23;5(1):zpae062. doi: 10.1093/sleepadvances/zpae062. eCollection 2024.
3
Personalized interpretable prediction of perceived sleep quality: Models with meaningful cardiovascular and behavioral features.个性化可解释的睡眠质量预测:具有有意义的心血管和行为特征的模型。
PLoS One. 2024 Jul 8;19(7):e0305258. doi: 10.1371/journal.pone.0305258. eCollection 2024.
4
Wellbeing Impact Study of High-Speed 2 (WISH2): Protocol for a mixed-methods examination of the impact of major transport infrastructure development on mental health and wellbeing.高速 2 号效益影响研究(WISH2):一项混合方法研究的方案,旨在考察主要交通基础设施建设对心理健康和福祉的影响。
PLoS One. 2024 Feb 29;19(2):e0298701. doi: 10.1371/journal.pone.0298701. eCollection 2024.
5
Clinical and Polysomnographic Characteristics of Adult Patients with Suspected Obstructive Sleep Apnea from Different Sleep Clinics at a Single Tertiary Center.来自单一三级中心不同睡眠诊所的疑似阻塞性睡眠呼吸暂停成年患者的临床和多导睡眠图特征
Neurol Ther. 2024 Apr;13(2):399-414. doi: 10.1007/s40120-024-00581-1. Epub 2024 Feb 3.
6
Worldwide prevalence and associated risk factors of obstructive sleep apnea: a meta-analysis and meta-regression.阻塞性睡眠呼吸暂停的全球患病率及相关危险因素:一项荟萃分析和元回归分析
Sleep Breath. 2023 Dec;27(6):2083-2109. doi: 10.1007/s11325-023-02810-7. Epub 2023 Mar 27.
7
Sleep apnea and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA): leveraging state-of-the-art vascular imaging.睡眠呼吸暂停与动脉粥样硬化性心血管疾病多民族研究(MESA):利用最先进的血管影像学。
Int J Cardiovasc Imaging. 2023 Mar;39(3):621-630. doi: 10.1007/s10554-022-02743-4. Epub 2022 Oct 31.
8
Screening of obstructive sleep apnea in patients who snore using a patch-type device with electrocardiogram and 3-axis accelerometer.使用带有心电图和三轴加速度计的贴片式设备对打鼾患者进行阻塞性睡眠呼吸暂停筛查。
J Clin Sleep Med. 2020 Jul 15;16(7):1149-1160. doi: 10.5664/jcsm.8462.
9
Investigation on dysfunctional beliefs and attitudes about sleep in Chinese college students.中国大学生睡眠功能失调信念与态度的调查
Neuropsychiatr Dis Treat. 2018 Jun 1;14:1425-1432. doi: 10.2147/NDT.S155722. eCollection 2018.

本文引用的文献

1
Validation of the STOP-Bang Questionnaire as a Screening Tool for Obstructive Sleep Apnea among Different Populations: A Systematic Review and Meta-Analysis.STOP-Bang问卷作为不同人群阻塞性睡眠呼吸暂停筛查工具的验证:一项系统评价和荟萃分析
PLoS One. 2015 Dec 14;10(12):e0143697. doi: 10.1371/journal.pone.0143697. eCollection 2015.
2
Validation of the Behavioral Risk Factor Surveillance System Sleep Questions.行为危险因素监测系统睡眠问题的验证
J Clin Sleep Med. 2016 Mar;12(3):301-10. doi: 10.5664/jcsm.5570.
3
Sleep Apnea Clinical Score, Berlin Questionnaire, or Epworth Sleepiness Scale: which is the best obstructive sleep apnea predictor in patients with COPD?睡眠呼吸暂停临床评分、柏林问卷或爱泼华嗜睡量表:哪一项是慢性阻塞性肺疾病患者阻塞性睡眠呼吸暂停的最佳预测指标?
Int J Gen Med. 2015 Aug 25;8:275-81. doi: 10.2147/IJGM.S86479. eCollection 2015.
4
Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions.国家健康睡眠意识项目睡眠健康监测问题的制定。
J Clin Sleep Med. 2015 Sep 15;11(9):1057-62. doi: 10.5664/jcsm.5026.
5
Correlation between the STOP-Bang Score and the Severity of Obstructive Sleep Apnea.STOP-Bang评分与阻塞性睡眠呼吸暂停严重程度之间的相关性。
Anesthesiology. 2015 Jun;122(6):1436-7. doi: 10.1097/ALN.0000000000000665.
6
Sleep apnea and 20-year follow-up for all-cause mortality, stroke, and cancer incidence and mortality in the Busselton Health Study cohort.睡眠呼吸暂停与全因死亡率、卒中和癌症发生率及死亡率的 20 年随访:来自巴斯顿健康研究队列。
J Clin Sleep Med. 2014 Apr 15;10(4):355-62. doi: 10.5664/jcsm.3600.
7
Sleep health: can we define it? Does it matter?睡眠健康:我们能否定义它?这有关系吗?
Sleep. 2014 Jan 1;37(1):9-17. doi: 10.5665/sleep.3298.
8
STOP-BANG questionnaire performance in a Veterans Affairs unattended sleep study program.STOP-BANG 问卷在退伍军人事务部无人值守睡眠研究计划中的表现。
Ann Am Thorac Soc. 2014 Feb;11(2):192-7. doi: 10.1513/AnnalsATS.201305-134OC.
9
Increased prevalence of sleep-disordered breathing in adults.成年人睡眠呼吸紊乱患病率增加。
Am J Epidemiol. 2013 May 1;177(9):1006-14. doi: 10.1093/aje/kws342. Epub 2013 Apr 14.
10
High STOP-Bang score indicates a high probability of obstructive sleep apnoea.高 STOP-Bang 评分提示阻塞性睡眠呼吸暂停的可能性高。
Br J Anaesth. 2012 May;108(5):768-75. doi: 10.1093/bja/aes022. Epub 2012 Mar 8.

《国家健康睡眠意识项目睡眠健康监测调查问卷》作为阻塞性睡眠呼吸暂停监测工具。

The National Healthy Sleep Awareness Project Sleep Health Surveillance Questionnaire as an Obstructive Sleep Apnea Surveillance Tool.

机构信息

Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota.

Department of Neurology, Mayo Clinic, Rochester, Minnesota.

出版信息

J Clin Sleep Med. 2017 Sep 15;13(9):1067-1074. doi: 10.5664/jcsm.6724.

DOI:10.5664/jcsm.6724
PMID:28728624
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5566462/
Abstract

STUDY OBJECTIVES

To validate the previously published National Healthy Sleep Awareness Project (NHSAP) Surveillance and Epidemiology Workgroup questionnaire for ability to determine risk for moderate to severe obstructive sleep apnea (OSA).

METHODS

The NHSAP sleep questions, part of the next Behavioral Risk Factor Surveillance System (BRFSS), were constructed to mimic elements of the STOP sleep apnea questionnaire, and included number of days with sleep disruption and unintentional dozing and a history of snoring and apneas. The responses to four sleep questions from the BRFSS were collected from 352 adults undergoing in-laboratory polysomnography at Mayo Clinic, Rochester, Minnesota. Demographic and clinical information, including sex, age, body mass index (BMI), and presence of hypertension, which will be available in other parts of the complete BRFSS, were obtained by chart review. Univariate and logistic regression analyses were performed, and values of < .05 were considered to be statistically significant.

RESULTS

Fifty-five percent of subjects were men and 45% were women with a median age of 58 years and BMI 32.2 kg/m. Sixty percent had no or mild OSA, and 40% had moderate to severe OSA. No single question was superior in screening for moderate to severe OSA, although a history of snoring and witnessed apneas was more likely to predict moderate to severe OSA. Male sex, age ≥ 50 years, BMI ≥ 30 kg/m, presence of hypertension, and a history of snoring and witnessed apneas were the most highly weighted factors in predicting moderate to severe OSA. When each variable was dichotomized to a single point, a cutoff of 5 points significantly predicted a high risk of moderate to severe OSA with an odds ratio of 3.87 (2.39-6.27).

CONCLUSIONS

Although many variables were positively associated with the apnea-hypopnea index, no single factor was superior in predicting moderate to severe OSA. Male sex, increased age, higher BMI, hypertension, and a history of snoring and witnessed apneas are the most highly predictive of moderate to severe OSA. Combined use of the NHSAP questionnaire and demographic and clinical characteristics could be considered for screening for moderate to severe OSA.

摘要

研究目的

验证先前发表的全国健康睡眠意识项目(NHSAP)监测和流行病学工作组问卷,以确定中重度阻塞性睡眠呼吸暂停(OSA)的风险。

方法

NHSAP 睡眠问题是下一个行为风险因素监测系统(BRFSS)的一部分,旨在模仿 STOP 睡眠呼吸暂停问卷的元素,包括睡眠中断和非自愿打盹的天数以及打鼾和呼吸暂停的病史。从明尼苏达州罗切斯特市梅奥诊所接受实验室多导睡眠图检查的 352 名成年人中收集了 BRFSS 的四个睡眠问题的回答。通过病历回顾获得人口统计学和临床信息,包括性别、年龄、体重指数(BMI)和高血压的存在,这些信息将在完整 BRFSS 的其他部分提供。进行了单变量和逻辑回归分析,认为 <.05 有统计学意义。

结果

55%的受试者为男性,45%为女性,中位年龄为 58 岁,BMI 为 32.2kg/m。60%的人没有或轻度 OSA,40%的人有中重度 OSA。虽然打鼾和目击呼吸暂停的病史更有可能预测中重度 OSA,但没有一个单一的问题在筛查中重度 OSA 方面更具优势。男性、年龄≥50 岁、BMI≥30kg/m、高血压以及打鼾和目击呼吸暂停的病史是预测中重度 OSA 的最重要因素。当每个变量都被二分类为一个点时,5 分的截点显著预测了中重度 OSA 的高风险,其优势比为 3.87(2.39-6.27)。

结论

尽管许多变量与呼吸暂停低通气指数呈正相关,但没有一个单一的因素在预测中重度 OSA 方面更具优势。男性、年龄增长、BMI 升高、高血压以及打鼾和目击呼吸暂停的病史是预测中重度 OSA 的最重要因素。NHSAP 问卷和人口统计学及临床特征的联合使用可考虑用于筛查中重度 OSA。