在 SafeHeart 植入式心律转复除颤器人群中长期坚持使用可穿戴设备进行持续行为活动测量。

IF 3.9 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
European heart journal. Digital health Pub Date : 2024-08-01 eCollection Date: 2024-09-01 DOI:10.1093/ehjdh/ztae055
Diana My Frodi, Maarten Z H Kolk, Joss Langford, Reinoud Knops, Hanno L Tan, Tariq Osman Andersen, Peter Karl Jacobsen, Niels Risum, Jesper Hastrup Svendsen, Fleur V Y Tjong, Søren Zöga Diederichsen
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引用次数: 0

摘要

目的:可穿戴健康技术越来越受欢迎。然而,可穿戴式监测只有在设备按预期佩戴的情况下才能发挥作用,而且依从性报告缺乏标准化。在这项研究中,我们旨在探讨前瞻性安全心脏研究中佩戴腕戴式活动追踪器的长期依从性,并确定与依从性相关的患者特征:这项研究招募了 303 名参与者,要求他们在 6 个月内日夜佩戴腕戴式加速度计。长期坚持的定义是有效天数(佩戴时间≥22小时)除以预期天数,每日坚持的定义是每24小时佩戴时间的平均小时数。最佳、中度和低度长期坚持率和每日坚持率组别分别定义为长期坚持率高于或低于 95% 和 75%,以及每日坚持率高于或低于 90% 和 75%。回归模型用于确定与长期依从性相关的患者特征。共有 296 名参与者[中位年龄 64 岁;四分位数间距 (IQR) 57-72;19% 为女性]符合条件,共 44 003 天可用于分析。长期坚持治疗的中位数为 88.2%(IQR 74.6-96.5%)。共有 83 人(28%)、127 人(42.9%)和 86 人(29.1%)的长期依从性达到最佳、中等和较低水平,163 人(55.1%)、87 人(29.4%)和 46 人(15.5%)的日常依从性达到最佳、中等和较低水平。年龄和吸烟习惯在不同的依从性水平之间存在显著差异,增加转换间隔可提高长期依从性:结论:在6个月的时间里,可穿戴活动追踪器的长期依从性为88.2%。年龄越大、更换间隔时间越长与长期坚持率呈正相关。这为今后依靠可穿戴设备进行的研究提供了一个基准:国家试验注册号:NL9218 ()NL9218 (https://onderzoekmetmensen.nl/)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term adherence to a wearable for continuous behavioural activity measuring in the SafeHeart implantable cardioverter defibrillator population.

Aims: Wearable health technologies are increasingly popular. Yet, wearable monitoring only works when devices are worn as intended, and adherence reporting lacks standardization. In this study, we aimed to explore the long-term adherence to a wrist-worn activity tracker in the prospective SafeHeart study and identify patient characteristics associated with adherence.

Methods and results: This study enrolled 303 participants, instructed to wear a wrist-worn accelerometer day and night for 6 months. Long-term adherence was defined as valid days (≥22 h of wear time) divided by expected days, and daily adherence as mean hours of wear time per 24 h period. Optimal, moderate, and low long-term and daily adherence groups were defined as long-term adherence above or below 95 and 75% and daily adherence above or below 90 and 75%. Regression models were used to identify patient characteristics associated with long-term adherence. In total, 296 participants [median age 64 years; interquartile range (IQR) 57-72; 19% female] were found eligible, yielding 44 003 days for analysis. The median long-term adherence was 88.2% (IQR 74.6-96.5%). A total of 83 (28%), 127 (42.9%), and 86 (29.1%) participants had optimal, moderate, and low long-term adherence, and 163 (55.1%), 87 (29.4%), and 46 (15.5%) had optimal, moderate, and low daily adherence, respectively. Age and smoking habits differed significantly between adherence levels, and increasing changeover intervals improved the degree of long-term adherence.

Conclusion: Long-term adherence to a wearable activity tracker was 88.2% over a 6-month period. Older age and longer changeover interval were positively associated with long-term adherence. This serves as a benchmark for future studies that rely on wearable devices.

Trial registration number: The National Trial Registration number: NL9218 (https://onderzoekmetmensen.nl/).

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