文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期，新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

睡眠追踪：对使用商用技术的研究的系统评价

Sleep tracking: A systematic review of the research using commercially available technology.

作者信息

Robbins Rebecca, Seixas Azizi, Masters Lillian Walton, Chanko Nicholas, Diaby Fatou, Vieira Dorice, Jean-Louis Girardin

机构信息

Center for Healthful Behavior Change, Department of Population health, NYU School of Medicine.

出版信息

Curr Sleep Med Rep. 2019;5(3):156-163. doi: 10.1007/s40675-019-00150-1. Epub 2019 Jul 22.

DOI:10.1007/s40675-019-00150-1
PMID:33134038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7597680/
Abstract

PURPOSE OF REVIEW: To systematically review the available research studies that characterize the benefits, uncertainty, or weaknesses of commercially-available sleep tracking technology. RECENT FINDINGS: Sleep is a vital component of health and well-being. Research shows that tracking sleep using commercially available sleep tracking technology (e.g., wearable or smartphone-based) is increasingly popular in the general population. METHODS: Systematic literature searches were conducted using PubMed/Medline, Embase (Ovid) the Cochrane Library, PsycINFO (Ovid), CINAHL, and Web of Science Plus (which included results from Biosis Citation Index, INSPEC, and Food, Science & Technology Abstracts) (n=842). STUDY INCLUSION AND EXCLUSION CRITERIA: Three independent reviewers reviewed eligible articles that administered a commercially-available sleep tracker to participants and reported on sleep parameters as captured by the tracker, including either sleep duration or quality. Eligible articles had to include sleep data from users for >=4 nights.

摘要

综述目的：系统回顾现有研究，这些研究描述了商用睡眠追踪技术的益处、不确定性或弱点。 最新发现：睡眠是健康和幸福的重要组成部分。研究表明，使用商用睡眠追踪技术（如可穿戴设备或基于智能手机的设备）追踪睡眠在普通人群中越来越普遍。 方法：使用PubMed/Medline、Embase（Ovid）、Cochrane图书馆、PsycINFO（Ovid）、CINAHL和Web of Science Plus（包括Biosis Citation Index、INSPEC和Food, Science & Technology Abstracts的结果）进行系统文献检索（n = 842）。 研究纳入和排除标准：三名独立评审员审查了符合条件的文章，这些文章向参与者发放了商用睡眠追踪器，并报告了追踪器捕获的睡眠参数，包括睡眠时间或质量。符合条件的文章必须包含用户至少4晚的睡眠数据。

相似文献

[1]
Sleep tracking: A systematic review of the research using commercially available technology.

Curr Sleep Med Rep. 2019

[2]
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.

Cochrane Database Syst Rev. 2022-2-1

[3]
Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.

Med J Aust. 2020-12

[4]
Systematic review and modelling of the cost-effectiveness of cardiac magnetic resonance imaging compared with current existing testing pathways in ischaemic cardiomyopathy.

Health Technol Assess. 2014-9

[5]
Regional cerebral blood flow single photon emission computed tomography for detection of Frontotemporal dementia in people with suspected dementia.

Cochrane Database Syst Rev. 2015-6-23

[6]
The Impact of Wearable Technologies in Health Research: Scoping Review.

JMIR Mhealth Uhealth. 2022-1-25

[7]
Using wearable and mobile technology to measure and promote healthy sleep behaviors in adolescents: a scoping review protocol.

JBI Evid Synth. 2021-10

[8]
School-based education programmes for the prevention of unintentional injuries in children and young people.

Cochrane Database Syst Rev. 2016-12-27

[9]
18F PET with florbetapir for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI).

Cochrane Database Syst Rev. 2017-11-22

[10]
Four-Year Trends in Sleep Duration and Quality: A Longitudinal Study Using Data from a Commercially Available Sleep Tracker.

J Med Internet Res. 2020-2-20

引用本文的文献

[1]
Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study.

J Med Internet Res. 2025-7-28

[2]
A Comprehensive Review of Home Sleep Monitoring Technologies: Smartphone Apps, Smartwatches, and Smart Mattresses.

Sensors (Basel). 2025-3-12

[3]
Millimeter-wave radar based sleep posture transition dataset: SPT.

Data Brief. 2025-3-15

[4]
Investigating the relationship between prenatal androgen exposure and sleep quality: a comprehensive study using anthropometric measurements, questionnaires, actigraphy, and polysomnography.

Front Endocrinol (Lausanne). 2025-1-16

[5]
Comparing sleep measures in cancer survivors: self-reported sleep diary versus objective wearable sleep tracker.

Support Care Cancer. 2024-8-21

[6]
Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study.

JMIR Mhealth Uhealth. 2023-11-2

[7]
Comparing sleep measures in cancer survivors: Self-reported sleep diary versus objective wearable sleep tracker.

Res Sq. 2023-10-9

[8]
Acceptability and Usability of a Wearable Device for Sleep Health Among English- and Spanish-Speaking Patients in a Safety Net Clinic: Qualitative Analysis.

JMIR Form Res. 2023-6-5

[9]
A Decentralized Marketplace for Patient-Generated Health Data: Design Science Approach.

J Med Internet Res. 2023-2-27

[10]
Methodologies and Wearable Devices to Monitor Biophysical Parameters Related to Sleep Dysfunctions: An Overview.

Micromachines (Basel). 2022-8-17

本文引用的文献

[1]
Epidemiology of Insomnia: Prevalence, Course, Risk Factors, and Public Health Burden.

Sleep Med Clin. 2022-6

[2]
No wink of sleep: Population sleep characteristics in response to the brexit poll and the 2016 U.S. presidential election.

Soc Sci Med. 2018-12-22

[3]
Are U.S. adults reporting less sleep?: Findings from sleep duration trends in the National Health Interview Survey, 2004-2017.

Sleep. 2019-2-1

[4]
Physical activity monitors can be successfully implemented to assess perioperative activity in urologic surgery.

Mhealth. 2018-9-26

[5]
Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes.

JMIR Mhealth Uhealth. 2018-6-5

[6]
Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA.

Health Commun. 2018-1-15

[7]
A validation study of Fitbit Charge 2™ compared with polysomnography in adults.

Chronobiol Int. 2018-4

[8]
National Sleep Foundation's sleep time duration recommendations: methodology and results summary.

Sleep Health. 2015-3

[9]
An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices.

J Med Internet Res. 2017-10-23

[10]
Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study.

JMIR Mhealth Uhealth. 2017-10-5

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索