Research using smartwatches for the measurement of physical activity, sedentary behavior, and sleep: A scoping review

IF 4.1 2区医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Medical Informatics Pub Date : 2026-07-01 Epub Date: 2026-03-17 DOI:10.1016/j.ijmedinf.2026.106370

José Francisco da Silva , Antonio Henrique Germano-Soares , Tuillamys Virgínio de Oliveira , Luis Carlos Barbosa Silva , Valter Cordeiro Barbosa Filho , Thiago Coelho de Aguiar Silva , Rafael Miranda Tassitano

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引用次数: 0

Abstract

Objective: The objective of this scoping review is to map the evidence on using smartwatches to objectively measure physical activity (PA), sedentary behavior (SB), and sleep in children, adolescents, adults, and older adults. Methods: This review followed the Joanna Briggs Institute (JBI) guidelines for scoping reviews, following a previously published protocol. The searches were conducted in January 2022 on Medline, Scopus, Web of Science, IEEE Xplore Digital Library, Scielo, LILACS, Health Technology Assessment Database, Cochrane clinical trials, and clinical trials. The screening was performed independently by two authors. A narrative synthesis was used. Results: After the electronic search, 5,925 records were identified and 2,008 duplicates removed. Screening of 3,917 titles and abstracts resulted in 491 full-text articles assessed for eligibility. A total of 427 studies were excluded for not meeting inclusion criteria, with one study added after author contact. Thus, 64 of these studies were included. Sample sizes ranged widely from 4 to 6,454 participants, with most studies (80.9%) including 100 or fewer participants. Most studies were conducted in the United States (46.9%), followed by China (9.4%). A total of 18 different smartwatch brands were identified, with Apple® being the most investigated (46.9%), followed by Samsung® (15.6), Fitbit® (14.1%), Motorola® (10.9%), Polar® (10.9%), Garmin® (9.4%), Asus® (3.1%), and others (1.6% each. Smartwatches were primarily used to validate measurements of PA, SB, and/or sleep parameters, followed by their use in assessing these variables as exposures or outcomes, testing feasibility, supporting self-monitoring, and other purposes. The most frequently measured variables were steps, total sleep time, and SB. Conclusion: This review can help studies, interventions, and health professionals that aim to use this technology as a measurement instrument, as well as help end users who use it on a daily basis.

查看原文本刊更多论文

使用智能手表测量身体活动、久坐行为和睡眠的研究：范围综述。

目的：本综述的目的是绘制使用智能手表客观测量儿童、青少年、成人和老年人的身体活动（PA）、久坐行为（SB）和睡眠的证据。方法：本综述遵循乔安娜布里格斯研究所（JBI）的范围评价指南，遵循先前发表的方案。检索于2022年1月在Medline、Scopus、Web of Science、IEEE Xplore数字图书馆、Scielo、LILACS、健康技术评估数据库、Cochrane临床试验和临床试验上进行。筛选由两位作者独立完成。采用了叙事综合。结果：经电子检索，共识别5925条记录，删除重复记录2008条。对3,917个标题和摘要进行筛选后，491篇全文文章被评估为合格。共有427项研究因不符合纳入标准而被排除，在与作者联系后增加了一项研究。因此，其中64项研究被纳入。样本量从4人到6454人不等，大多数研究（80.9%）包括100人或更少的参与者。大多数研究在美国进行（46.9%），其次是中国（9.4%）。共有18个不同的智能手表品牌被确定，其中苹果®被调查最多（46.9%），其次是三星®（15.6%），Fitbit®（14.1%），摩托罗拉®（10.9%），Polar®（10.9%），Garmin®（9.4%），华硕®（3.1%），以及其他（1.6%）。智能手表主要用于验证PA、SB和/或睡眠参数的测量结果，然后用于评估这些变量，如暴露或结果、测试可行性、支持自我监测和其他目的。最常测量的变量是步数、总睡眠时间和睡眠质量。结论：本综述可以帮助研究、干预和卫生专业人员将该技术用作测量工具，也可以帮助每天使用该技术的最终用户。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Medical Informatics 医学-计算机：信息系统

CiteScore

8.90

自引率

4.10%

发文量

217

审稿时长

42 days

期刊介绍： International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.