Do Measures of Real-World Physical Behavior Provide Insights Into the Well-Being and Physical Function of Cancer Survivors? Cross-Sectional Analysis.

IF 3.3 Q2 ONCOLOGY JMIR Cancer Pub Date : 2024-07-15 DOI:10.2196/53180
Shelby L Bachman, Emma Gomes, Suvekshya Aryal, David Cella, Ieuan Clay, Kate Lyden, Heather J Leach
{"title":"Do Measures of Real-World Physical Behavior Provide Insights Into the Well-Being and Physical Function of Cancer Survivors? Cross-Sectional Analysis.","authors":"Shelby L Bachman, Emma Gomes, Suvekshya Aryal, David Cella, Ieuan Clay, Kate Lyden, Heather J Leach","doi":"10.2196/53180","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As the number of cancer survivors increases, maintaining health-related quality of life in cancer survivorship is a priority. This necessitates accurate and reliable methods to assess how cancer survivors are feeling and functioning. Real-world digital measures derived from wearable sensors offer potential for monitoring well-being and physical function in cancer survivorship, but questions surrounding the clinical utility of these measures remain to be answered.</p><p><strong>Objective: </strong>In this secondary analysis, we used 2 existing data sets to examine how measures of real-world physical behavior, captured with a wearable accelerometer, were related to aerobic fitness and self-reported well-being and physical function in a sample of individuals who had completed cancer treatment.</p><p><strong>Methods: </strong>Overall, 86 disease-free cancer survivors aged 21-85 years completed self-report assessments of well-being and physical function, as well as a submaximal exercise test that was used to estimate their aerobic fitness, quantified as predicted submaximal oxygen uptake (VO<sub>2</sub>). A thigh-worn accelerometer was used to monitor participants' real-world physical behavior for 7 days. Accelerometry data were used to calculate average values of the following measures of physical behavior: sedentary time, step counts, time in light and moderate to vigorous physical activity, time and weighted median cadence in stepping bouts over 1 minute, and peak 30-second cadence.</p><p><strong>Results: </strong>Spearman correlation analyses indicated that 6 (86%) of the 7 accelerometry-derived measures of real-world physical behavior were not significantly correlated with Functional Assessment of Cancer Therapy-General total well-being or linked Patient-Reported Outcomes Measurement Information System-Physical Function scores (Ps≥.08). In contrast, all but one of the physical behavior measures were significantly correlated with submaximal VO<sub>2</sub> (Ps≤.03). Comparing these associations using likelihood ratio tests, we found that step counts, time in stepping bouts over 1 minute, and time in moderate to vigorous activity were more strongly associated with submaximal VO<sub>2</sub> than with self-reported well-being or physical function (Ps≤.03). In contrast, cadence in stepping bouts over 1 minute and peak 30-second cadence were not more associated with submaximal VO<sub>2</sub> than with the self-reported measures (Ps≥.08).</p><p><strong>Conclusions: </strong>In a sample of disease-free cancer survivors, we found that several measures of real-world physical behavior were more associated with aerobic fitness than with self-reported well-being and physical function. These results highlight the possibility that in individuals who have completed cancer treatment, measures of real-world physical behavior may provide additional information compared with self-reported and performance measures. To advance the appropriate use of digital measures in oncology clinical research, further research evaluating the clinical utility of real-world physical behavior over time in large, representative samples of cancer survivors is warranted.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT03781154; https://clinicaltrials.gov/ct2/show/NCT03781154.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11287100/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/53180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: As the number of cancer survivors increases, maintaining health-related quality of life in cancer survivorship is a priority. This necessitates accurate and reliable methods to assess how cancer survivors are feeling and functioning. Real-world digital measures derived from wearable sensors offer potential for monitoring well-being and physical function in cancer survivorship, but questions surrounding the clinical utility of these measures remain to be answered.

Objective: In this secondary analysis, we used 2 existing data sets to examine how measures of real-world physical behavior, captured with a wearable accelerometer, were related to aerobic fitness and self-reported well-being and physical function in a sample of individuals who had completed cancer treatment.

Methods: Overall, 86 disease-free cancer survivors aged 21-85 years completed self-report assessments of well-being and physical function, as well as a submaximal exercise test that was used to estimate their aerobic fitness, quantified as predicted submaximal oxygen uptake (VO2). A thigh-worn accelerometer was used to monitor participants' real-world physical behavior for 7 days. Accelerometry data were used to calculate average values of the following measures of physical behavior: sedentary time, step counts, time in light and moderate to vigorous physical activity, time and weighted median cadence in stepping bouts over 1 minute, and peak 30-second cadence.

Results: Spearman correlation analyses indicated that 6 (86%) of the 7 accelerometry-derived measures of real-world physical behavior were not significantly correlated with Functional Assessment of Cancer Therapy-General total well-being or linked Patient-Reported Outcomes Measurement Information System-Physical Function scores (Ps≥.08). In contrast, all but one of the physical behavior measures were significantly correlated with submaximal VO2 (Ps≤.03). Comparing these associations using likelihood ratio tests, we found that step counts, time in stepping bouts over 1 minute, and time in moderate to vigorous activity were more strongly associated with submaximal VO2 than with self-reported well-being or physical function (Ps≤.03). In contrast, cadence in stepping bouts over 1 minute and peak 30-second cadence were not more associated with submaximal VO2 than with the self-reported measures (Ps≥.08).

Conclusions: In a sample of disease-free cancer survivors, we found that several measures of real-world physical behavior were more associated with aerobic fitness than with self-reported well-being and physical function. These results highlight the possibility that in individuals who have completed cancer treatment, measures of real-world physical behavior may provide additional information compared with self-reported and performance measures. To advance the appropriate use of digital measures in oncology clinical research, further research evaluating the clinical utility of real-world physical behavior over time in large, representative samples of cancer survivors is warranted.

Trial registration: ClinicalTrials.gov NCT03781154; https://clinicaltrials.gov/ct2/show/NCT03781154.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
现实世界中的体育行为测量是否有助于了解癌症幸存者的福祉和身体机能?横断面分析。
背景:随着癌症幸存者人数的增加,保持癌症幸存者与健康相关的生活质量成为当务之急。这就需要有准确可靠的方法来评估癌症幸存者的感觉和功能。由可穿戴传感器衍生出的真实世界数字测量方法为监测癌症幸存者的幸福感和身体功能提供了可能,但围绕这些测量方法的临床实用性的问题仍有待解答:在这项二次分析中,我们使用了两个现有的数据集,以完成癌症治疗的个体为样本,研究用可穿戴加速度计采集的真实世界身体行为指标与有氧健身、自我报告的幸福感和身体功能之间的关系:总体而言,86 名年龄在 21-85 岁之间的无病癌症幸存者完成了对幸福感和身体功能的自我报告评估,以及一项亚极限运动测试,该测试用于估算他们的有氧体能,量化为预测的亚极限摄氧量(VO2)。佩戴在大腿上的加速度计用于监测参与者在现实世界中 7 天的身体行为。加速度计数据被用来计算以下身体行为测量指标的平均值:久坐时间、步数、轻度和中度到剧烈运动时间、1 分钟内步频的时间和加权中位数,以及 30 秒的峰值步频:斯皮尔曼相关性分析表明,在 7 项加速度测量中,有 6 项(86%)与癌症治疗功能评估-总体健康状况或患者报告结果测量信息系统-身体功能评分无显著相关性(Ps≥.08)。与此相反,除一项外,其他所有身体行为测量指标均与亚极限 VO2 显著相关(Ps≤.03)。通过似然比检验比较这些相关性,我们发现步数、1 分钟以上的步频时间和中度至剧烈活动时间与最大氧饱和度下限的相关性比与自我报告的幸福感或身体功能的相关性更强(Ps≤.03)。与此相反,1 分钟以上的步频和 30 秒的峰值步频与最大氧饱和度下限的相关性并不比与自我报告的指标的相关性更高(Ps≥.08):在一个无病癌症幸存者样本中,我们发现,与自我报告的幸福感和身体功能相比,几种真实世界身体行为的测量方法与有氧健身的关联度更高。这些结果凸显了一种可能性,即对于已经完成癌症治疗的人来说,与自我报告和表现测量相比,真实世界身体行为测量可能会提供更多信息。为了推动在肿瘤临床研究中适当使用数字测量方法,有必要在具有代表性的大型癌症幸存者样本中开展进一步研究,评估真实世界身体行为在一段时间内的临床效用:试验注册:ClinicalTrials.gov NCT03781154;https://clinicaltrials.gov/ct2/show/NCT03781154。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
64
审稿时长
12 weeks
期刊最新文献
A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study. Lessons Learned From Shared Decision-Making With Oral Anticoagulants: Viewpoint on Suggestions for the Development of Oral Chemotherapy Decision Aids. A Smart Water Bottle and Companion App (HidrateSpark 3) to Improve Bladder-Filling Compliance in Patients With Prostate Cancer Receiving Radiotherapy: Nonrandomized Trial of Feasibility and Acceptability. Telemedicine Applications for Cancer Rehabilitation: Scoping Review. Health Information Seeking on the Internet Among Patients With and Without Cancer in a Region Affected by the 2011 Fukushima Triple Disaster: Cross-Sectional Study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1