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智能手机评估健康年轻人身体活动的测量特性:系统评价。

Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review.

机构信息

School of Health Sciences, University of New South Wales, Kensington, Australia.

Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, NSW, Australia.

出版信息

JMIR Mhealth Uhealth. 2022 Oct 21;10(10):e39085. doi: 10.2196/39085.


DOI:10.2196/39085
PMID:36269659
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9636527/
Abstract

BACKGROUND: Physical inactivity is a preventable risk factor for several chronic diseases and one of the driving forces behind the growing global burden of disease. Recent evidence has shown that interventions using mobile smartphone apps can promote a significant increase in physical activity (PA) levels. However, the accuracy and reliability of using apps is unknown. OBJECTIVE: The aim of our review was to determine the accuracy and reliability of using mobile apps to measure PA levels in young people. We conducted a systematic review guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). METHODS: Studies published from 2007 to 2020 were sourced from 8 databases-Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsychINFO (EBSCOhost), CINAHL (EBSCOhost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library database. Studies were conducted in young people aged 10-24 years and without chronic illnesses, who evaluated a mobile app's ability to measure PA. Primary outcomes included validity, reliability, and responsiveness of the measurement approach. Duplicate screening was conducted for eligibility, data extraction, and assessing the risk of bias. Results were reported as a systematic review. The main physical activity measures evaluated for each study were the following: total PA time (min/day or min/week), total moderate to vigorous PA per week, daily step count, intensity measure (heart rate), and frequency measure (days per week). RESULTS: Of the 149 identified studies, 5 met the inclusion criteria (322 participants, 176 female; mean age 14, SD 3 years). A total of 3 studies measured criterion validity and compared PA measured via apps against PA measured via an Actigraph accelerometer. The 2 studies that reported on construct validity identified a significant difference between self-reported PA and the objective measure. Only 1 of the 5 apps examined was available to the public, and although this app was highly accepted by young people, the app recorded PA to be significantly different to participants' self-reported PA. CONCLUSIONS: Overall, few studies assess the reliability, validity, and responsiveness of mobile apps to measure PA in healthy young people, with studies typically only reporting on one measurement property. Of the 3 studies that measured validity, all concluded that mobile phones were acceptable and valid tools. More research is needed into the validity and reliability of smartphone apps to measure PA levels in this population as well as in populations with other characteristics, including other age groups and those with chronic diseases. TRIAL REGISTRATION: PROSPERO CRD42019122242; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=122242.

摘要

背景:身体活动不足是多种慢性疾病的可预防风险因素,也是导致全球疾病负担日益加重的主要驱动力之一。最近的证据表明,使用智能手机应用程序进行干预可以显著提高身体活动(PA)水平。然而,应用程序的准确性和可靠性尚不清楚。

目的:本综述的目的是确定使用移动应用程序测量年轻人 PA 水平的准确性和可靠性。我们按照 PRISMA(系统评价和荟萃分析的首选报告项目)进行了系统评价。

方法:从 2007 年至 2020 年发表的研究来源于 8 个数据库-Ovid MEDLINE、Embase(Elsevier)、Cochrane 图书馆(Wiley)、PsychINFO(EBSCOhost)、CINAHL(EBSCOhost)、Web of Science(Clarivate)、SPORTDiscus(EBSCOhost)和 IEEE Xplore 数字图书馆数据库。研究对象为年龄在 10-24 岁且无慢性疾病的年轻人,评估了移动应用程序测量 PA 的能力。主要结局包括测量方法的有效性、可靠性和反应性。对合格性、数据提取和评估偏倚风险进行了重复筛选。结果以系统综述的形式报告。对每项研究评估的主要体力活动测量指标如下:总 PA 时间(分钟/天或分钟/周)、每周总中度至剧烈 PA、每日步数、强度指标(心率)和频率指标(每周天数)。

结果:在 149 项确定的研究中,有 5 项符合纳入标准(322 名参与者,176 名女性;平均年龄 14 岁,标准差 3 岁)。共有 3 项研究测量了标准效度,并将通过应用程序测量的 PA 与通过 Actigraph 加速度计测量的 PA 进行了比较。2 项报告了结构效度的研究发现,自我报告的 PA 与客观测量之间存在显著差异。5 个应用程序中只有 1 个可供公众使用,尽管这个应用程序深受年轻人欢迎,但该应用程序记录的 PA 与参与者自我报告的 PA 有显著差异。

结论:总体而言,很少有研究评估健康年轻人使用移动应用程序测量 PA 的可靠性、有效性和反应性,研究通常只报告一种测量特性。在测量有效性的 3 项研究中,所有研究都得出结论,移动电话是一种可接受和有效的工具。需要进一步研究智能手机应用程序测量 PA 水平的有效性和可靠性,以及在其他人群中的有效性和可靠性,包括其他年龄组和患有慢性疾病的人群。

试验注册:PROSPERO CRD42019122242;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=122242。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa9d/9636527/7b368999d0c0/mhealth_v10i10e39085_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa9d/9636527/7b368999d0c0/mhealth_v10i10e39085_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa9d/9636527/7b368999d0c0/mhealth_v10i10e39085_fig1.jpg

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[3]
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本文引用的文献

[1]
Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review.

JMIR Mhealth Uhealth. 2022-2-17

[2]
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Med J Aust. 2022-2-21

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BMJ. 2021-3-29

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BMJ Open. 2020-7-13

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