Abstract：
BACKGROUND: Wearable technology is used to monitor and motivate physical activity (PA) and provides continuous, objective PA and sleep data outside the clinical setting. We reviewed the literature to understand how wearables are integrated into prostate cancer (PC) investigations in order to identify current practices, gaps, and research opportunities.
METHODS: We conducted a literature search for articles using wearables, among PC survivors published between 2012 and 2022. We extracted study details, interventions and outcomes, participant baseline characteristics, and device characteristics and grouped them by study type: randomized control trials (RCTs) and non-randomized studies.
RESULTS: Of 354 articles screened, 44 met eligibility criteria (23 RCTs, and 21 non-randomized). 89% used wearables to monitor PA metrics, 11%, sleep metrics, and 6.8%, both. Most studies involved exercise (70% RCTs, 9% non-randomized studies) or lifestyle interventions (30% RCTs, 9% non-randomized studies). Intervention delivery methods included personalized computer-based (48%), in-person (e.g., trainer) (20%), and education web or print-based (20%). Interventions occurred at the participant\'s home (48%) or at a gym (20%). 57% of the studies evaluated the feasibility and acceptability of the wearable as an activity-measuring device or as part of a remotely delivered computer-based intervention. Studies used wearables to monitor adherence to PA interventions, motivate behavior change, to assess patient outcomes (e.g., patient function, quality of life, mood), or as data collection tools.
CONCLUSIONS: Wearables are primarily being used to assess daily activity and monitor adherence to exercise interventions in clinical studies involving PC survivors. Findings suggest that they are feasible for use in this population. More research is needed to understand how to integrate wearables into routine clinical care, expand their use to predict clinical outcomes, or to deliver tailored interventions for PC survivors.
METHODS: We conducted a literature search for articles using wearables, among PC survivors published between 2012 and 2022. We extracted study details, interventions and outcomes, participant baseline characteristics, and device characteristics and grouped them by study type: randomized control trials (RCTs) and non-randomized studies.
RESULTS: Of 354 articles screened, 44 met eligibility criteria (23 RCTs, and 21 non-randomized). 89% used wearables to monitor PA metrics, 11%, sleep metrics, and 6.8%, both. Most studies involved exercise (70% RCTs, 9% non-randomized studies) or lifestyle interventions (30% RCTs, 9% non-randomized studies). Intervention delivery methods included personalized computer-based (48%), in-person (e.g., trainer) (20%), and education web or print-based (20%). Interventions occurred at the participant\'s home (48%) or at a gym (20%). 57% of the studies evaluated the feasibility and acceptability of the wearable as an activity-measuring device or as part of a remotely delivered computer-based intervention. Studies used wearables to monitor adherence to PA interventions, motivate behavior change, to assess patient outcomes (e.g., patient function, quality of life, mood), or as data collection tools.
CONCLUSIONS: Wearables are primarily being used to assess daily activity and monitor adherence to exercise interventions in clinical studies involving PC survivors. Findings suggest that they are feasible for use in this population. More research is needed to understand how to integrate wearables into routine clinical care, expand their use to predict clinical outcomes, or to deliver tailored interventions for PC survivors.
摘要：
背景：可穿戴技术用于监视和激发身体活动（PA），并提供连续的，客观PA和睡眠数据外的临床设置。我们回顾了文献，以了解可穿戴设备如何整合到前列腺癌（PC）研究中，以确定当前的实践。间隙,和研究机会。
方法：我们对使用可穿戴设备的文章进行了文献检索，在2012年至2022年之间发布的PC幸存者中。我们提取了研究细节，干预措施和结果，参与者基线特征，和器件特性。我们按研究类型对它们进行分组：随机对照试验(RCT)，非随机化，和定性。
结果：在筛选的354篇文章中，44符合资格标准，23项随机对照试验,和21个非随机化。89%的人使用可穿戴设备来监控PA指标，11%的睡眠指标，和6.8%。大多数干预措施是运动(70%的随机对照试验，9%非随机研究)或生活方式干预(30%RCT，9%非随机研究)。干预交付方法包括基于计算机的个性化(48%)，亲自(例如，培训师)(20%)，和教育网络或印刷(20%)。干预发生在家里（48％）或健身房（20％）。57%的研究评估了可穿戴设备作为活动测量设备或作为远程交付的基于计算机的干预措施的一部分的可行性和可接受性。研究使用可穿戴设备来监测对PA的依从性，收集数据,激励行为改变，并预测临床结果。
结论：调查正在使用可穿戴设备评估PC幸存者的日常活动并监测对运动干预的依从性。研究结果表明，它们在该人群中使用是可行的。需要更多的研究来了解如何将可穿戴设备整合到日常护理中，或为PC幸存者提供量身定制的干预措施。
方法：我们对使用可穿戴设备的文章进行了文献检索，在2012年至2022年之间发布的PC幸存者中。我们提取了研究细节，干预措施和结果，参与者基线特征，和器件特性。我们按研究类型对它们进行分组：随机对照试验(RCT)，非随机化，和定性。
结果：在筛选的354篇文章中，44符合资格标准，23项随机对照试验,和21个非随机化。89%的人使用可穿戴设备来监控PA指标，11%的睡眠指标，和6.8%。大多数干预措施是运动(70%的随机对照试验，9%非随机研究)或生活方式干预(30%RCT，9%非随机研究)。干预交付方法包括基于计算机的个性化(48%)，亲自(例如，培训师)(20%)，和教育网络或印刷(20%)。干预发生在家里（48％）或健身房（20％）。57%的研究评估了可穿戴设备作为活动测量设备或作为远程交付的基于计算机的干预措施的一部分的可行性和可接受性。研究使用可穿戴设备来监测对PA的依从性，收集数据,激励行为改变，并预测临床结果。
结论：调查正在使用可穿戴设备评估PC幸存者的日常活动并监测对运动干预的依从性。研究结果表明，它们在该人群中使用是可行的。需要更多的研究来了解如何将可穿戴设备整合到日常护理中，或为PC幸存者提供量身定制的干预措施。
