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一项干预研究,旨在评估一款移动健康干预措施对减少老年上班族久坐行为的潜在效果及用户体验。

An intervention study to assess potential effect and user experience of an mHealth intervention to reduce sedentary behaviour among older office workers.

作者信息

Boerema Simone, van Velsen Lex, Hermens Hermie

机构信息

eHealth Group, Roessingh Research and Development, Enschede, Netherlands.

Biomedical Signals and Systems Group, University of Twente, Enschede, Netherlands.

出版信息

BMJ Health Care Inform. 2019 Nov;26(1). doi: 10.1136/bmjhci-2019-100014.

DOI:10.1136/bmjhci-2019-100014
PMID:31744844
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7253002/
Abstract

BACKGROUND

Office workers spend a high percentage of their time sitting, often in long periods of time. Research suggests that it is healthier to break these long bouts into shorter periods by being physically active.

OBJECTIVE

We evaluated the effect of a context-aware activity coach, called the PEARL app, an mHealth intervention that provides activity suggestions, based on a physical activity prediction model, consisting of past and current physical activity and digital agendas.

METHOD

Fifteen office workers, aged 50+, participated in an intervention study in which they used the intervention for 1 week, preceded by a 1-week baseline period. Measurements were taken before and after the intervention period.

RESULTS

107 days of data from 14 participants were analysed. Total sedentary time was not reduced as a result of using the intervention (baseline vs intervention: 47.8±3.6 vs 46.8±3.0, n.s.). When using the intervention, participants reduced their total time spent in long sitting bouts (≥45 min) from 19.3 to 14.4 min per hour of wear time (p<0.05). Participants indicated that the main value of the intervention lies in creating awareness about their personal sedentary behaviour pattern.

CONCLUSION

An mHealth service has the potential to improve the sedentary behaviour of older office workers, especially for breaking up long sedentary periods. Focusing on total sedentary time as an outcome of an intervention, aimed at reducing sedentary behaviour, is too simplistic. One should take into account both the duration and the number of bouts when determining the effect.

摘要

背景

上班族大部分时间都坐着,而且常常是长时间坐着。研究表明,通过身体活动将这些长时间的久坐时段分成较短的时间段会更健康。

目的

我们评估了一种情境感知活动教练(称为PEARL应用程序)的效果,这是一种移动健康干预措施,它基于一个身体活动预测模型提供活动建议,该模型由过去和当前的身体活动以及数字日程安排组成。

方法

15名年龄在50岁及以上的上班族参与了一项干预研究,他们在为期1周的基线期之后使用该干预措施1周。在干预期前后进行测量。

结果

分析了14名参与者提供的107天数据。使用该干预措施后,总久坐时间并未减少(基线期与干预期:47.8±3.6 vs 46.8±3.0,无显著差异)。使用该干预措施时,参与者每小时佩戴时间内长时间久坐时段(≥45分钟)的总时长从19.3分钟减少至14.4分钟(p<0.05)。参与者表示,该干预措施的主要价值在于提高他们对个人久坐行为模式的认识。

结论

一项移动健康服务有潜力改善老年上班族的久坐行为,尤其是在打破长时间久坐时段方面。将总久坐时间作为旨在减少久坐行为的干预措施的结果来关注过于简单化。在确定效果时应同时考虑时长和久坐时段的数量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/1db0e2177dd7/bmjhci-2019-100014f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/619cf4eb1800/bmjhci-2019-100014f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/4a926cfa9877/bmjhci-2019-100014f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/1db0e2177dd7/bmjhci-2019-100014f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/619cf4eb1800/bmjhci-2019-100014f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/4a926cfa9877/bmjhci-2019-100014f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a9/7253002/1db0e2177dd7/bmjhci-2019-100014f03.jpg

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