Wearable Biosensors to Monitor Workload in Dancers: A Systematic Review.

IF 1.5 Q3 SPORT SCIENCES
Journal of Dance Medicine & Science Pub Date : 2026-09-01 Epub Date: 2025-11-10 DOI:10.1177/1089313X251381860
Kelley R Wiese, Jatin P Ambegaonkar, Joel Martin, Sarah J Kenny, Jena Hansen-Honeycutt, Prachi Pisay, Angela Miller
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引用次数: 0

Abstract

Introduction: Dancers are aesthetic athletes with high workloads similar to sport athletes. Wearable biosensors are used in athletics to assess workload and inform training decisions to optimize performance and reduce fatigue and injury risk. While workload monitoring methods in dancers have been systematically reviewed, limited research specifically examines using wearable biosensors for this purpose. Thus, this study aims to systematically review how wearable biosensors are used to monitor workload in dancers. Methods: Following PRISMA guidelines, 8 databases were searched by 2 authors. Articles were included if participants were current dancers, workload was assessed during dance activity by wearable biosensors, and published in English in a peer-reviewed journal. Dancer characteristics (age, sex, anthropometrics, years dancing, training level, dance style) and methods (sessions, variables, setting, biosensor) were extracted and synthesized in an Excel synthesis matrix. The Joanna Briggs Institute (JBI) Critical Appraisal Checklists were used to assess the risk of bias. Results: 35 of 119 potentially relevant studies were included. Heart rate (HR) monitors (25 studies) and accelerometers (12 studies) were primarily used. 24 studies (69%) examined only objective workload and 23 studies (66%) examined internal workload. The most common dependent variable was HR (25 studies). The duration of data collection ranged between 1 and 49 days, with 26% of studies (n = 9) using a single day. High-level (14 studies) female (74.7%; n = 1342) ballet dancers (45.7%; n = 16 studies) were most assessed. Risk of bias was fair-to-moderate across studies. Conclusions: This systematic review highlights 4 primary trends across previous literature assessing workload in dancers using wearable biosensors to inform future research. First, HR monitors, followed by accelerometers, are the most common wearable biosensors used to quantify workload in dancers. Second, most studies only evaluated objective physiological (internal) workload, primarily using HR variables. Third, data were primarily collected within a timeframe of 1 to 3 days. Finally, high-level female ballet dancers were predominantly assessed.

可穿戴生物传感器监测舞者的工作量:系统回顾。
舞蹈演员是与体育运动员相似的高负荷审美运动员。可穿戴生物传感器用于运动员评估工作量,并为训练决策提供信息,以优化表现,减少疲劳和受伤风险。虽然已经系统地回顾了舞者的工作量监测方法,但有限的研究专门研究了为此目的使用可穿戴生物传感器。因此,本研究旨在系统地回顾可穿戴生物传感器如何用于监测舞者的工作量。方法:2位作者按照PRISMA指南对8个数据库进行检索。如果参与者目前是舞者,则纳入文章,通过可穿戴生物传感器评估舞蹈活动期间的工作量,并在同行评审的期刊上以英文发表。舞者特征(年龄、性别、人体测量、舞蹈年限、训练水平、舞蹈风格)和方法(会话、变量、设置、生物传感器)被提取并合成到Excel合成矩阵中。乔安娜布里格斯研究所(JBI)的关键评估清单被用来评估偏见的风险。结果:119项可能相关的研究中有35项被纳入。主要使用心率(HR)监测器(25项研究)和加速度计(12项研究)。24项研究(69%)只检查了客观工作量,23项研究(66%)检查了内部工作量。最常见的因变量是HR(25项研究)。数据收集的持续时间从1天到49天不等,26%的研究(n = 9)使用一天。高水平(14项研究)女性(74.7%,n = 1342)芭蕾舞者(45.7%,n = 16项研究)被评估最多。各研究的偏倚风险为中等偏倚。结论:本系统综述强调了先前文献中使用可穿戴生物传感器评估舞者工作量的4个主要趋势,为未来的研究提供信息。首先,人力资源监测器,其次是加速度计,是最常见的可穿戴生物传感器,用于量化舞者的工作量。其次,大多数研究仅评估客观生理(内部)工作量,主要使用人力资源变量。第三,数据主要是在1 - 3天的时间范围内收集的。最后,以高水平女芭蕾舞者为主。
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
CiteScore
1.80
自引率
11.10%
发文量
33
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