手腕可穿戴设备和电子健康应用程序用户的心血管疾病风险分层:一项大规模回顾性研究

Erdong Chen, Jie Jiang, Jing Zhou, Hui Wang, Guangxin Sun, Rui Zhou, Rui Su, Sainan Zhu, Yong Huo
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引用次数: 2

摘要

简介:可穿戴设备,包括智能手环和智能手表,经常与电子健康应用(app)一起使用。目前腕部可穿戴设备的用户特征缺乏描述,用户心血管疾病(CVD)高危率尚不清楚。目的:本研究旨在(1)描述“Amazfit Health”app和华米腕带可穿戴设备用户的基本特征和使用习惯;(2)分析CVD高危用户的比例并定义其人群特征。研究对象与方法:本研究纳入年龄>18岁,居住在中国大陆地区,使用“Amazfit Health”应用和华米可穿戴设备的用户。在应用程序中收集设备数据和用户自述信息。风险分层基于WHO/ISH西太平洋地区心血管风险预测图。有CVD病史、总胆固醇≥8mmol /L或≥10%预测CVD风险的受试者和有以下预测CVD风险的受试者。结果:数据来自80,098名(总用户)和10,866名(受试者)进行风险分层。总使用者年龄为45.6±15.4岁,受试者年龄为50.7±14.0岁。其中,男性用户数为50024人,女性用户数为30074人;受试者用户数为7284人,女性用户数为3582人。总使用者和受试者的体重指数分别为24.0±4.6 kg/m2和24.6±3.8 kg/m2。通过将用户的居住地划分为一线城市、直辖市和省会以及其他地区,用户总数分别为20179人、28213人、31137人,受试者分别为2587人、3966人、4269人。CVD高危人群1161人,占全部受试者的10.7%。结论:高心血管疾病风险用户仅占可穿戴设备用户人群的一小部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardiovascular Disease Risk Stratification in Wrist Wearable Devices and e-Health App Users: A Large-Scale Retrospective Study.

Introduction: Wearable devices, including smart wristbands and watches, are often used with e-health applications (apps). The users' characteristics of wrist wearable devices currently lack description, and the cardiovascular disease (CVD) high-risk rate of users remains unknown. Purpose: This study aimed to (1) describe the basic characteristics and habits of users of the "Amazfit Health" app and Huami wrist wearable devices and (2) analyze the proportion and define the population characteristics of users with a high risk of developing CVD. Subjects and Methods: This study included users >18 years of age, residing in mainland China, using the "Amazfit Health" app and Huami wearable devices. Devices data and users' self-reported information were collected in the app. The risk stratification was based on WHO/ISH cardiovascular risk prediction charts for the Western Pacific Region. Subjects with CVD history, total cholesterol ≥8 mmol/L, or ≥10% predicted CVD risk and those with <10% predicted CVD risk were considered to be at high and low risk of developing CVD, respectively. Results: Data were obtained from 80,098 (total users) and 10,866 users (subjects) for risk stratification. The age of the total users and subjects were 45.6 ± 15.4 and 50.7 ± 14.0 years, respectively. The number of male and female users was 50,024, and 30,074 in total users, and 7,284, and 3,582 in subjects, respectively. The body mass index of total users and subjects was 24.0 ± 4.6 kg/m2 and 24.6 ± 3.8 kg/m2, respectively. By classifying users' residences into first-tier cities, municipalities and provincial capitals, and other areas, the numbers of total users were 20,179, 28,213, and 31,137, and subjects were 2,587, 3,966, and 4,269, respectively. The number of subjects with high CVD risk was 1,161, accounting for 10.7% of all subjects. Conclusions: Users with high CVD risk only accounted for a small proportion of the population of wearable devices users.

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