Evidence map›Paper›PMID 41267836›Full record

ArticleEuropean heart journal. Digital health2025

Accessibility and usage patterns of wearable devices among Chinese adults: the Huawei Blood Pressure Health Study.

Ying Wang, Shan-Shan Zhou, Yu-Qi Liu, Dan-Dan Li, Shun-Ying Hu, Xi Wang, Li Yi, Ya-Ni Yu, Yun-Dai Chen

Registry-linked trialAbstract read
In one paragraph

Article in European heart journal. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07785895 (Real-World Validation of Huawei Wearable Technologies for Hypertension Risk Screening in Malaysia), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT07785895 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Real-World Validation of Huawei Wearable Technologies for Hypertension Risk Screening in Malaysia

Typeobservational_patient_registrySponsorSunway UniversityRan2026 to 2028Enrolled500ConditionsHypertension
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ying WangDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.ORCID https://orcid.org/0000-0002-4568-4050
Shan-Shan ZhouDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.
Yu-Qi LiuDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.
Dan-Dan LiDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.
Shun-Ying HuDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.
Xi WangDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.
Li YiDepartment of Cardiology, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100039, China.
Ya-Ni YuDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.
Yun-Dai ChenDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing 100048, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study aims to investigate the ownership of wearable health devices across different demographic groups and usage patterns among Chinese adults. Methods and results: This was a cross-sectional study, with all data originating from the Huawei Blood Pressure Health Study, a real-world study aimed at exploring blood pressure management through wearable devices in China. Data were remotely collected using mobile phones and Huawei Watch D from 23 February 2022 to 31 March 2024. The system utilized artificial intelligence algorithms to assess participants' risk of hypertension and provided risk alarm feedback via mobile phones and watches. A total of 75 918 participants from 31 provinces were included, with an average age of 47 years. Most of the participants were concentrated in the economically developed South China and East China regions. Among the participants, 73.8% used the Watch D for blood pressure monitoring, and 10.5% received risk alerts. The rate of blood pressure monitoring on the day they received the alert was 78%. However, the rate significantly decreased between 6 months and 1 year (Mann-Kendall test, Conclusion: This study provides evidence of the digital health divide in the utilization of wearable devices among the Chinese population. Additionally, it proposes a potentially follow-up interval for employing wearable devices for maintaining compliance with blood pressure monitoring. Study registration: URL: https://www.chictr.org.cn/. Unique identifier for Huawei-BPHS: ChiCTR2200057354.

Indexed as

Accessibilityblood pressureDigital divideHypertensionReal-world studyWearable devices

Identifiers

PMID41267836
PMCPMC12629657

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Registered trials

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.