消费者使用可穿戴设备收集德国成年人的健康数据:全国性观察性调查研究。

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kristin Manz, Susanne Krug, Charlotte Kühnelt, Johannes Lemcke, Ilter Öztürk, Julika Loss
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引用次数: 0

摘要

背景:消费者可穿戴设备(CWs;例如,健身追踪器和智能手表)在过去十年中大幅增加。这就产生了大量的数字个人健康数据,可用于回答重要的研究问题。然而,目前对使用化学武器收集居住在德国的人口的健康数据知之甚少。目的:本研究旨在描述消费者可穿戴设备的所有权及其在收集德国成年人口健康数据中的用途,以及收集健康数据的动机和平均佩戴次数。此外,本研究还旨在调查化武使用者组与非使用者组之间的社会人口学、健康和行为相关差异。方法:我们使用了具有全国代表性的调查“德国健康更新”的数据,该调查是在2021年和2022年通过电话采访进行的。最后的样本包括4464名18岁及以上的成年人。我们导出了使用卫生系统的加权患病率,并调整了卫生系统拥有率和使用卫生系统的比值比,以及它们与社会人口统计学、健康和行为相关变量的关联。结果:成年人群中,19.3%(843/4459)的人拥有CW,其中77.8%(650/842)的人使用CW收集健康数据(650/4458,15.0%的成年人群)。老年人、低收入者和身体活动水平较低(PA)的人不太可能拥有连续监护仪,也不太可能使用它来收集健康数据。在收集健康数据的连续佩戴者中,47.2%(321/650)在夜间睡眠时佩戴连续佩戴器。使用CW收集健康数据的最常见动机是“观察我的PA”(544/647,85.0%),“娱乐”(508/644,79.0%)和“在锻炼时获得支持”(423/647,66.3%)。女性比男性更多地选择了“观察我的PA”和“增加我的PA”的动机,而男性比女性更多地选择了“观察健康问题”的动机。结论:在德国生活的成年人中,拥有连续搏动器的人比不使用连续搏动器的人更年轻,收入更高,并且更活跃。这意味着,在这些卫生数据集中,特别需要卫生保健的人口群体没有得到充分的代表。在计划使用连续波健康数据回答研究问题时,研究人员应考虑连续波用户的选择性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study.

Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study.

Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study.

Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study.

Background: The usage of consumer wearables (CWs; eg, fitness trackers and smartwatches) in the population has increased enormously within the last decade. This has resulted in a large amount of digital person-generated health data that could be used to answer vital research questions. However, little is currently known about the usage of CWs to collect health data from the population living in Germany.

Objective: This study aimed to describe the ownership of consumer wearables and their usage for the collection of health data from the adult population living in Germany, as well as the motives for the collection of health data and the average wear times. In addition, this study also aimed to investigate sociodemographic and health- and behavior-related differences between the group of CW users and the group of nonusers.

Methods: We used data from the nationally representative survey "German Health Update," which was conducted through telephone interviews in 2021 and 2022. The final sample comprised 4464 adults aged 18 years and older. We derived weighted prevalences for the usage of CWs, as well as adjusted odds ratios for the ownership and the usage of CWs and their association with sociodemographic and health- and behavior-related variables.

Results: Of the adult population, 19.3% (843/4459) owned a CW, of whom 77.8% (650/842) used their CW to collect health data (which corresponds to 650/4458, 15.0% of the adult population). Older people, people with a low income, and people with a lower level of physical activity (PA) were less likely to own a CW and were less likely to use it for the collection of health data. Of the CW users who collected health data, 47.2% (321/650) wore their CW during nocturnal sleep. The most frequently named motives for the collection of health data with a CW were "to observe my PA" (544/647, 85.0%), "for fun" (508/644, 79.0%), and "for support during exercising" (423/647, 66.3%). Women chose the motive "to observe my PA" and "to increase my PA" more often than men, whereas men chose the motive "to observe health issues" more often than women.

Conclusions: Adults living in Germany owning a CW are younger, have a higher income, and are more physically active than individuals who do not use a CW. This means that the population groups that would be in particular need of health care are not sufficiently represented in these health datasets. Researchers should consider the selectivity of CW users when planning to use CW health data to answer research questions.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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