Evidence map›Paper›PMID 39974761›Full record

ArticleDigital health

Functional characteristics of sleep monitoring devices in China: A real-world cross-sectional study.

Le Yang, Bingtao Weng, Xingyan Xu, Zhi Huang, Run Ding, Miaomiao Si, Yingxin Fu, Yurui Zhu, Yu Jiang, Beibei Rao and 5 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Le YangSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0000-0001-6739-6351
Bingtao WengSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0000-0003-4588-3348
Xingyan XuSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0000-0002-4802-8542
Zhi HuangSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0003-5596-6486
Run DingSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0007-5586-6927
Miaomiao SiSchool of Health Administration, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0002-5676-9743
Yingxin FuSchool of Health Administration, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0008-3161-3084
Yurui ZhuSchool of Dentistry, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0002-0662-0123
Yu JiangSchool of Public Health, Fujian Medical University, Fujian, China.
Beibei RaoSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0004-4762-0044
Xinyi ZhangSchool of Public Health, Fujian Medical University, Fujian, China.
Qingwei ZhouDepartment of Thoracic Oncology, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0009-0005-7540-4127
Shenglan LinDepartment of Clinical Medicine, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0009-0003-1002-2940
Yansong GuoDepartment of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
XiaoXu XieSchool of Public Health, Fujian Medical University, Fujian, China.ORCID https://orcid.org/0000-0002-3103-3724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep monitoring devices present potential improvements to address the challenges of sleep disorders. However, systematic evaluations are lacking. This study investigates the functional characteristics of existing sleep monitoring devices in the Chinese market and delves into population preferences. Objective: We aim to summarize the characteristics of mobile health devices with sleep monitoring function in China, analyzing product features and market prices, and collect population preferences for mobile health devices, providing a concrete basis for the ongoing development of mobile health technologies. Methods: Data on 203 sleep devices were gathered from four major mobile shopping platforms (Tmall, JD.com, Pinduoduo, and Suning) using relevant keywords. A two-level variance model was employed to analyzed the link between device features and sales. Additionally, a structured questionnaire assessed public usage and attitudes towards these devices, with 167 responses collected via social networks. Results: Our study found that smart bracelets, which make up 82.6% of sleep monitoring devices, effectively track heart rate, physical activity blood oxygen saturation, sleep duration, and assess sleep quality. Most devices cost under 500 RMB, influencing sales (β Conclusions: The study confirms a strong preference for smart bracelets with health tracking features, particularly for sleep monitoring, at a price point below 500 RMB. These findings highlight the potential of affordable, multifunctional devices to shape the future of smart healthcare, especially through cloud-based enhancements that improve doctor-patient communication.

Indexed as

Chinahealth managementmHealthSleep monitoring devices

Identifiers

PMID39974761
PMCPMC11837058

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.