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一种Web 2.0干预措施在现实环境中增加身体活动的效果:随机生态试验

Effectiveness of a Web 2.0 Intervention to Increase Physical Activity in Real-World Settings: Randomized Ecological Trial.

作者信息

Vandelanotte Corneel, Kolt Gregory S, Caperchione Cristina M, Savage Trevor N, Rosenkranz Richard R, Maeder Anthony J, Van Itallie Anetta, Tague Rhys, Oldmeadow Christopher, Mummery W Kerry, Duncan Mitch J

机构信息

Central Queensland University, Rockhampton, Australia.

Western Sydney University, Sydney, Australia.

出版信息

J Med Internet Res. 2017 Nov 13;19(11):e390. doi: 10.2196/jmir.8484.

DOI:10.2196/jmir.8484
PMID:29133282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5703981/
Abstract

BACKGROUND

The translation of Web-based physical activity intervention research into the real world is lacking and becoming increasingly important.

OBJECTIVE

To compare usage and effectiveness, in real-world settings, of a traditional Web 1.0 Web-based physical activity intervention, providing limited interactivity, to a Web 2.0 Web-based physical activity intervention that includes interactive features, such as social networking (ie, status updates, online "friends," and personalized profile pages), blogs, and Google Maps mash-ups.

METHODS

Adults spontaneously signing up for the freely available 10,000 Steps website were randomized to the 10,000 Steps website (Web 1.0) or the newly developed WALK 2.0 website (Web 2.0). Physical activity (Active Australia Survey), quality of life (RAND 36), and body mass index (BMI) were assessed at baseline, 3 months, and 12 months. Website usage was measured continuously. Analyses of covariance were used to assess change over time in continuous outcome measures. Multiple imputation was used to deal with missing data.

RESULTS

A total of 1328 participants completed baseline assessments. Only 3-month outcomes (224 completers) were analyzed due to high attrition at 12 months (77 completers). Web 2.0 group participants increased physical activity by 92.8 minutes per week more than those in the Web 1.0 group (95% CI 28.8-156.8; P=.005); their BMI values also decreased more (-1.03 kg/m2, 95% CI -1.65 to -0.41; P=.001). For quality of life, only the physical functioning domain score significantly improved more in the Web 2.0 group (3.6, 95% CI 1.7-5.5; P<.001). The time between the first and last visit to the website (3.57 vs 2.22 weeks; P<.001) and the mean number of days the website was visited (9.02 vs 5.71 days; P=.002) were significantly greater in the Web 2.0 group compared to the Web 1.0 group. The difference in time-to-nonusage attrition was not statistically significant between groups (Hazard Ratio=0.97, 95% CI 0.86-1.09; P=.59). Only 21.99% (292/1328) of participants (n=292 summed for both groups) were still using either website after 2 weeks and 6.55% (87/1328) were using either website after 10 weeks.

CONCLUSIONS

The website that provided more interactive and social features was more effective in improving physical activity in real-world conditions. While the Web 2.0 website was visited significantly more, both groups nevertheless displayed high nonusage attrition and low intervention engagement. More research is needed to examine the external validity and generalizability of Web-based physical activity interventions.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry: ACTRN12611000253909; https://anzctr.org.au /Trial/Registration/TrialReview.aspx?id=336588&isReview=true (Archived by WebCite at http://www.webcitation.org/6ufzw 2HxD).

摘要

背景

基于网络的体育活动干预研究在现实世界中的转化较为缺乏,且愈发重要。

目的

在现实环境中,比较提供有限交互性的传统Web 1.0基于网络的体育活动干预与包含社交网络(即状态更新、在线“好友”和个性化个人资料页面)、博客及谷歌地图混搭等交互功能的Web 2.0基于网络的体育活动干预的使用情况和效果。

方法

自发报名参加免费的“万步网”的成年人被随机分为“万步网”(Web 1.0)组或新开发的“WALK 2.0网”(Web 2.0)组。在基线、3个月和12个月时评估体育活动(澳大利亚积极生活调查)、生活质量(兰德36项健康调查)和体重指数(BMI)。持续测量网站使用情况。采用协方差分析评估连续结局指标随时间的变化。使用多重填补法处理缺失数据。

结果

共有1328名参与者完成了基线评估。由于12个月时失访率较高(77名完成者),仅分析了3个月时的结局(224名完成者)。Web 2.0组参与者每周的体育活动增加量比Web 1.0组多92.8分钟(95%可信区间28.8 - 156.8;P = 0.005);他们的BMI值下降也更多(-1.03kg/m²,95%可信区间-1.65至-0.41;P = 0.001)。对于生活质量,仅Web 2.0组的身体功能领域得分显著改善更多(3.6,95%可信区间1.7 - 5.5;P < 0.001)。与Web 1.0组相比,Web 2.0组首次访问和最后访问网站之间的时间(3.57对2.22周;P < 0.001)以及网站被访问的平均天数(9.02对5.71天;P = 0.002)显著更长。两组之间未使用损耗时间的差异无统计学意义(风险比 = 0.97,95%可信区间0.86 - 1.09;P = 0.59)。2周后仍在使用任一网站的参与者仅占21.99%(292/1328)(两组共计n = 292),10周后仍在使用任一网站的参与者占6.55%(87/1328)。

结论

提供更多交互性和社交功能的网站在现实条件下改善体育活动方面更有效。虽然Web 2.0网站的访问量显著更高,但两组的未使用率均较高且干预参与度较低。需要更多研究来检验基于网络的体育活动干预的外部效度和可推广性。

试验注册

澳大利亚新西兰临床试验注册中心:ACTRN12611000253909;https://anzctr.org.au /Trial/Registration/TrialReview.aspx?id=336588&isReview=true(由WebCite存档于http://www.webcitation.org/6ufzw 2HxD)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8739/5703981/d6949f301228/jmir_v19i11e390_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8739/5703981/67f1c9d3de12/jmir_v19i11e390_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8739/5703981/d6949f301228/jmir_v19i11e390_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8739/5703981/67f1c9d3de12/jmir_v19i11e390_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8739/5703981/d6949f301228/jmir_v19i11e390_fig2.jpg

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本文引用的文献

1
Recruitment, screening, and baseline participant characteristics in the WALK 2.0 study: A randomized controlled trial using web 2.0 applications to promote physical activity.WALK 2.0研究中的招募、筛查及基线参与者特征:一项使用网络2.0应用程序促进身体活动的随机对照试验
Contemp Clin Trials Commun. 2015 Dec 21;2:25-33. doi: 10.1016/j.conctc.2015.12.004. eCollection 2016 Apr 15.
2
Measuring Physical Activity Change in Broad-Reach Intervention Trials.在广泛覆盖的干预试验中测量身体活动变化
J Phys Act Health. 2010 Mar;7(2):194-202. doi: 10.1123/jpah.7.2.194.
3
Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial.
基于社交媒体的干预措施对肥胖和超重成年人的影响:一项荟萃分析和荟萃回归。
Int J Obes (Lond). 2023 Jul;47(7):606-621. doi: 10.1038/s41366-023-01304-6. Epub 2023 Apr 3.
4
The Impact of Social Media Interventions on Weight Reduction and Physical Activity Improvement Among Healthy Adults: Systematic Review.社交媒体干预对健康成年人减肥和改善身体活动的影响:系统评价。
J Med Internet Res. 2023 Mar 16;25:e38429. doi: 10.2196/38429.
5
A Web-Based Health Application to Translate Nutrition Therapy for Cardiovascular Risk Reduction in Primary Care (PortfolioDiet.app): Quality Improvement and Usability Testing Study.一种用于在初级保健中翻译降低心血管风险营养疗法的基于网络的健康应用程序(PortfolioDiet.app):质量改进与可用性测试研究
JMIR Hum Factors. 2022 Apr 21;9(2):e34704. doi: 10.2196/34704.
6
A review of the quality and content of mobile apps to support lifestyle modifications following a transient ischaemic attack or 'minor' stroke.对支持短暂性脑缺血发作或“轻度”中风后生活方式改变的移动应用程序的质量和内容进行的综述。
Digit Health. 2021 Dec 15;7:20552076211065271. doi: 10.1177/20552076211065271. eCollection 2021 Jan-Dec.
7
Effectiveness of Social Media-Based Interventions for the Promotion of Physical Activity: Scoping Review.社交媒体干预促进身体活动的有效性:范围综述。
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8
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Int J Environ Res Public Health. 2021 May 2;18(9):4861. doi: 10.3390/ijerph18094861.
10
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Cochrane Database Syst Rev. 2021 May 31;5(5):CD012932. doi: 10.1002/14651858.CD012932.pub2.
使用Web 2.0应用程序促进与健康相关的身体活动:WALK 2.0随机对照试验的结果
Br J Sports Med. 2017 Oct;51(19):1433-1440. doi: 10.1136/bjsports-2016-096890. Epub 2017 Jan 3.
4
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Transl Behav Med. 2017 Jun;7(2):254-267. doi: 10.1007/s13142-016-0453-1.
5
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Lancet. 2016 Sep 24;388(10051):1337-48. doi: 10.1016/S0140-6736(16)30728-0. Epub 2016 Jul 28.
6
The economic burden of physical inactivity: a global analysis of major non-communicable diseases.体力活动不足的经济负担:主要非传染性疾病的全球分析。
Lancet. 2016 Sep 24;388(10051):1311-24. doi: 10.1016/S0140-6736(16)30383-X. Epub 2016 Jul 28.
7
Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors.电子健康和移动健康研究改善身体活动和饮食行为的过去、现在和未来。
J Nutr Educ Behav. 2016 Mar;48(3):219-228.e1. doi: 10.1016/j.jneb.2015.12.006.
8
Why we need more than just randomized controlled trials to establish the effectiveness of online social networks for health behavior change.为何我们需要的不仅仅是随机对照试验来确定在线社交网络对健康行为改变的有效性。
Am J Health Promot. 2015 Nov-Dec;30(2):74-6. doi: 10.4278/ajhp.141204-CIT-605.
9
Updated systematic review identifies substantial number of retention strategies: using more strategies retains more study participants.更新的系统评价确定了大量的保留策略:采用更多策略可留住更多研究参与者。
J Clin Epidemiol. 2015 Dec;68(12):1481-7. doi: 10.1016/j.jclinepi.2015.04.013. Epub 2015 Jun 10.
10
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