IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kent Y Feng, Sarah A Short, Sohrab Saeb, Megan K Carroll, Christoph B Olivier, Edgar P Simard, Susan Swope, Donna Williams, Julie Eckstrand, Neha Pagidipati, Svati H Shah, Adrian F Hernandez, Kenneth W Mahaffey
{"title":"Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study.","authors":"Kent Y Feng, Sarah A Short, Sohrab Saeb, Megan K Carroll, Christoph B Olivier, Edgar P Simard, Susan Swope, Donna Williams, Julie Eckstrand, Neha Pagidipati, Svati H Shah, Adrian F Hernandez, Kenneth W Mahaffey","doi":"10.2196/60493","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Though widely used, resting heart rate (RHR), as measured by a wearable device, has not been previously evaluated in a large cohort against a variety of important baseline characteristics.</p><p><strong>Objective: </strong>This study aimed to assess the validity of the RHR measured by a wearable device compared against the gold standard of ECG (electrocardiography), and assess the relationships between device-measured RHR and a broad range of clinical characteristics.</p><p><strong>Methods: </strong>The Project Baseline Health Study (PHBS) captured detailed demographic, occupational, social, lifestyle, and clinical data to generate a deeply phenotyped cohort. We selected an analysis cohort within it, which included participants who had RHR determined by both ECG and the Verily Study Watch (VSW). We examined the correlation between these simultaneous RHR measures and assessed the relationship between VSW RHR and a range of baseline characteristics, including demographic, clinical, laboratory, and functional assessments.</p><p><strong>Results: </strong>From the overall PBHS cohort (N=2502), 875 (35%) participants entered the analysis cohort (mean age 50.9, SD 16.5 years; n=519, 59% female and n=356, 41% male). The mean and SD of VSW RHR was 66.6 (SD 11.2) beats per minute (bpm) for female participants and 64.4 (SD 12.3) bpm for male participants. There was excellent reliability between the two measures of RHR (ECG and VSW) with an intraclass correlation coefficient of 0.946. On univariate analyses, female and male participants had similar baseline characteristics that trended with higher VSW RHR: lack of health care insurance (both P<.05), higher BMI (both P<.001), higher C-reactive protein (both P<.001), presence of type 2 diabetes mellitus (both P<.001) and higher World Health Organization Disability Assessment Schedule (WHODAS) 2.0 score (both P<.001) were associated with higher RHR. On regression analyses, within each domain of baseline characteristics (demographics and socioeconomic status, medical conditions, vitals, physical function, laboratory assessments, and patient-reported outcomes), different characteristics were associated with VSW RHR in female and male participants.</p><p><strong>Conclusions: </strong>RHR determined by the VSW had an excellent correlation with that determined by ECG. Participants with higher VSW RHR had similar trends in socioeconomic status, medical conditions, vitals, laboratory assessments, physical function, and patient-reported outcomes irrespective of sex. However, within each domain of baseline characteristics, different characteristics were most associated with VSW RHR in female and male participants.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT03154346; https://clinicaltrials.gov/study/NCT03154346.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"26 ","pages":"e60493"},"PeriodicalIF":5.8000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/60493","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

背景:尽管静息心率(RHR)已被广泛使用,但通过可穿戴设备测量的静息心率(RHR)此前尚未在大型队列中根据各种重要的基线特征进行评估:可穿戴设备测量的静息心率(RHR)虽然被广泛使用,但此前尚未在大型人群中针对各种重要的基线特征进行过评估:本研究旨在评估可穿戴设备测量的静息心率与金标准心电图(ECG)相比的有效性,并评估设备测量的静息心率与各种临床特征之间的关系:项目基线健康研究(PHBS)收集了详细的人口、职业、社会、生活方式和临床数据,从而生成了一个深度表型队列。我们在其中选择了一个分析队列,其中包括通过心电图和VSW测定RHR的参与者。我们研究了这些同时测定的 RHR 之间的相关性,并评估了 VSW RHR 与一系列基线特征(包括人口统计学、临床、实验室和功能评估)之间的关系:在整个 PBHS 队列(N=2502)中,有 875 人(35%)进入了分析队列(平均年龄 50.9 岁,标准差 16.5 岁;n=519,59% 为女性;n=356,41% 为男性)。女性参与者的 VSW RHR 平均值和 SD 值分别为 66.6(SD 11.2)次/分钟(bpm)和 64.4(SD 12.3)次/分钟(bpm)。两种 RHR 测量方法(心电图和 VSW)之间的可靠性极佳,类内相关系数为 0.946。在单变量分析中,女性和男性参与者具有类似的基线特征,这些特征与较高的 VSW RHR 呈趋势:缺乏医疗保险(均为 PConclusions):VSW测定的RHR与心电图测定的RHR有很好的相关性。VSW RHR 较高的参与者在社会经济状况、医疗条件、生命体征、实验室评估、身体功能和患者报告结果方面的趋势相似,与性别无关。然而,在基线特征的各个领域中,女性和男性参与者的不同特征与 VSW RHR 的关系最为密切:试验注册:ClinicalTrials.gov NCT03154346;https://clinicaltrials.gov/study/NCT03154346。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study.

Background: Though widely used, resting heart rate (RHR), as measured by a wearable device, has not been previously evaluated in a large cohort against a variety of important baseline characteristics.

Objective: This study aimed to assess the validity of the RHR measured by a wearable device compared against the gold standard of ECG (electrocardiography), and assess the relationships between device-measured RHR and a broad range of clinical characteristics.

Methods: The Project Baseline Health Study (PHBS) captured detailed demographic, occupational, social, lifestyle, and clinical data to generate a deeply phenotyped cohort. We selected an analysis cohort within it, which included participants who had RHR determined by both ECG and the Verily Study Watch (VSW). We examined the correlation between these simultaneous RHR measures and assessed the relationship between VSW RHR and a range of baseline characteristics, including demographic, clinical, laboratory, and functional assessments.

Results: From the overall PBHS cohort (N=2502), 875 (35%) participants entered the analysis cohort (mean age 50.9, SD 16.5 years; n=519, 59% female and n=356, 41% male). The mean and SD of VSW RHR was 66.6 (SD 11.2) beats per minute (bpm) for female participants and 64.4 (SD 12.3) bpm for male participants. There was excellent reliability between the two measures of RHR (ECG and VSW) with an intraclass correlation coefficient of 0.946. On univariate analyses, female and male participants had similar baseline characteristics that trended with higher VSW RHR: lack of health care insurance (both P<.05), higher BMI (both P<.001), higher C-reactive protein (both P<.001), presence of type 2 diabetes mellitus (both P<.001) and higher World Health Organization Disability Assessment Schedule (WHODAS) 2.0 score (both P<.001) were associated with higher RHR. On regression analyses, within each domain of baseline characteristics (demographics and socioeconomic status, medical conditions, vitals, physical function, laboratory assessments, and patient-reported outcomes), different characteristics were associated with VSW RHR in female and male participants.

Conclusions: RHR determined by the VSW had an excellent correlation with that determined by ECG. Participants with higher VSW RHR had similar trends in socioeconomic status, medical conditions, vitals, laboratory assessments, physical function, and patient-reported outcomes irrespective of sex. However, within each domain of baseline characteristics, different characteristics were most associated with VSW RHR in female and male participants.

Trial registration: ClinicalTrials.gov NCT03154346; https://clinicaltrials.gov/study/NCT03154346.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信