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探索成年人身体活动行为的伦理监测:一项实施数字公民科学的智能平台研究

Exploring ethical monitoring of physical activity behaviors among adults: a Smart Platform study operationalizing digital citizen science.

作者信息

Hung Caitlin, Ibrahim Sheriff Tolulope, Katapally Tarun Reddy

机构信息

DEPtH Lab, School of Health Studies, Faculty of Health Sciences, University of Western Ontario, London, Ontario, Canada.

Children's Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada.

出版信息

PeerJ. 2025 Aug 18;13:e19793. doi: 10.7717/peerj.19793. eCollection 2025.

Abstract

BACKGROUND

According to the World Health Organization, 27% of adults do not meet the recommended daily levels of physical activity (PA), making accurate PA measurement essential for informing evidence-based policies. This study explores ethical engagement with citizens through their ubiquitous digital tools (, smartphones) to examine variations between retrospectively and prospectively reported PA behaviors within the same cohort.

METHODS

This study is part of the Smart Platform, a digital citizen science initiative for ethical monitoring and real-time intervention. Data were collected from 118 adults who participated over eight consecutive days, including both weekdays and weekends. Prospective PA was assessed using time-triggered ecological assessments, while retrospective PA was measured using a modified, time-triggered, smartphone-based validated tool. Paired sample -tests were used to compare retrospective and prospective PA. Linear regression models examined associations between socio-demographic and contextual factors and both types of PA reporting. Analyses were conducted for the overall sample and by gender (male female).

RESULTS

Participants consistently reported higher PA through retrospective measures compared to prospective ones ( < 0.001). In the overall sample, one significant association was found in the retrospective model, while three were identified in the prospective model. Among males, those who engaged in PA for fun or to maintain physical health reported higher retrospective PA, though this was not significant in the prospective model. In contrast, female participants who engaged in PA for fun reported higher PA in both retrospective and prospective models.

CONCLUSIONS

Although exploratory, early findings suggest that repeated, prospective assessments ubiquitous digital devices may enhance the validity and reliability of PA measurement. As citizen-owned digital tools become increasingly widespread, ethically leveraging big data through digital citizen science offers a promising approach to improve PA monitoring and support public health efforts.

摘要

背景

根据世界卫生组织的数据,27%的成年人未达到推荐的每日身体活动水平,因此准确测量身体活动对于制定循证政策至关重要。本研究通过公民普遍使用的数字工具(如智能手机)探索与公民的伦理互动,以检验同一队列中回顾性和前瞻性报告的身体活动行为之间的差异。

方法

本研究是智能平台的一部分,智能平台是一项用于伦理监测和实时干预的数字公民科学倡议。数据收集自118名连续八天参与的成年人,包括工作日和周末。前瞻性身体活动通过时间触发的生态评估进行评估,而回顾性身体活动则使用经过修改的、基于智能手机的时间触发验证工具进行测量。配对样本t检验用于比较回顾性和前瞻性身体活动。线性回归模型检验社会人口统计学和背景因素与两种类型身体活动报告之间的关联。对总体样本以及按性别(男性和女性)进行了分析。

结果

与前瞻性测量相比,参与者通过回顾性测量一致报告了更高的身体活动水平(P<0.001)。在总体样本中,回顾性模型中发现了一个显著关联,而前瞻性模型中发现了三个。在男性中,为了娱乐或保持身体健康而进行身体活动的人报告的回顾性身体活动水平较高,尽管在前瞻性模型中这不显著。相比之下,为了娱乐而进行身体活动的女性参与者在回顾性和前瞻性模型中都报告了更高的身体活动水平。

结论

尽管是探索性的,但早期研究结果表明,通过无处不在的数字设备进行重复的前瞻性评估可能会提高身体活动测量的有效性和可靠性。随着公民拥有的数字工具越来越普及,通过数字公民科学在伦理上利用大数据为改善身体活动监测和支持公共卫生努力提供了一种有前景的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f03f/12369631/c040f884cf30/peerj-13-19793-g001.jpg

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