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SMARTER试点研究:测试饮食自我监测实时反馈的可行性。

The SMARTER pilot study: Testing feasibility of real-time feedback for dietary self-monitoring.

作者信息

Burke Lora E, Zheng Yaguang, Ma Qianheng, Mancino Juliet, Loar India, Music Edvin, Styn Mindi, Ewing Linda, French Brian, Sieworek Dan, Smailagic Asim, Sereika Susan M

机构信息

University of Pittsburgh School of Nursing, Pittsburgh, PA, USA.

University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.

出版信息

Prev Med Rep. 2017 Mar 31;6:278-285. doi: 10.1016/j.pmedr.2017.03.017. eCollection 2017 Jun.

DOI:10.1016/j.pmedr.2017.03.017
PMID:28409090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5388931/
Abstract

Self-monitoring (SM) of food intake is central to weight loss treatment. Technology makes it possible to reinforce this behavior change strategy by providing real-time feedback (FB) tailored to the diary entry. To test the feasibility of providing 1-4 daily FB messages tailored to dietary recordings via a smartphone, we conducted a 12-week pilot randomized clinical trial in Pittsburgh, PA in US in 2015. We compared 3 groups: SM using the Lose It! smartphone app (Group 1); SM + FB (Group 2); and SM + FB + attending three in-person group sessions (Group 3). The sample (N = 39) was mostly white and female with a mean body mass index of 33.76 kg/m. Adherence to dietary SM was recorded daily, weight was assessed at baseline and 12 weeks. The mean percentage of days adherent to dietary SM was similar among Groups 1, 2, and 3 (p = 0.66) at 53.50% vs. 55.86% vs. 65.33%, respectively. At 12 weeks, all groups had a significant percent weight loss (p < 0.05), with no differences among groups (- 2.85% vs. - 3.14% vs. - 3.37%) (p = 0.95); 26% of the participants lost ≥ 5% of their baseline weight. Mean retention was 74% with no differences among groups (p = 0.37). All groups adhered to SM at levels comparable to or better than other weight loss studies and lost acceptable amounts of weight, with minimal intervention contact over 12 weeks. These preliminary findings suggest this 3-group approach testing SM alone vs. SM with real-time FB messages alone or supplemented with limited in-person group sessions warrants further testing in a larger, more diverse sample and for a longer intervention period.

摘要

食物摄入量的自我监测(SM)是体重减轻治疗的核心。技术使得通过提供针对饮食记录量身定制的实时反馈(FB)来强化这种行为改变策略成为可能。为了测试通过智能手机提供针对饮食记录的每日1 - 4条反馈信息的可行性,我们于2015年在美国宾夕法尼亚州匹兹堡进行了一项为期12周的试点随机临床试验。我们比较了3组:使用Lose It!智能手机应用程序进行自我监测(第1组);自我监测 + 反馈(第2组);自我监测 + 反馈 + 参加三次面对面小组会议(第3组)。样本(N = 39)大多为白人女性,平均体重指数为33.76kg/m²。每日记录饮食自我监测的依从性,在基线和12周时评估体重。第1组、第2组和第3组中坚持饮食自我监测的天数平均百分比相似(p = 0.66),分别为53.50%、55.86%和65.33%。在12周时,所有组的体重都有显著下降(p < 0.05),组间无差异(-2.85% vs. -3.14% vs. -3.37%)(p = 0.95);26%的参与者体重减轻了≥其基线体重的5%。平均保留率为74%,组间无差异(p = 0.37)。所有组的自我监测依从性水平与其他减肥研究相当或更好,并且体重减轻量可接受,在12周内干预接触最少。这些初步发现表明,这种三组方法,即单独测试自我监测与单独使用实时反馈信息的自我监测或辅以有限的面对面小组会议,值得在更大、更多样化的样本中进行进一步测试,并进行更长时间的干预期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/e1382712e470/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/5928d4bf4030/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/597c9e97b3d2/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/27ff7f521877/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/e1382712e470/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/5928d4bf4030/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/597c9e97b3d2/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/27ff7f521877/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55e/5388931/e1382712e470/gr4.jpg

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本文引用的文献

1
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Int J Obes (Lond). 2016 Sep;40(9):1392-6. doi: 10.1038/ijo.2016.68. Epub 2016 Apr 26.
2
Assessing the Feasibility of a Web-Based Weight Loss Intervention for Low-Income Women of Reproductive Age: A Pilot Study.评估基于网络的减肥干预措施对低收入育龄妇女的可行性:一项试点研究。
JMIR Res Protoc. 2016 Feb 26;5(1):e30. doi: 10.2196/resprot.4865.
3
Efficacy of SmartLoss, a smartphone-based weight loss intervention: results from a randomized controlled trial.
Yes I can! Exploring the impact of self-efficacy in a digital weight loss intervention.
是的,我能!探索自我效能感在数字减肥干预中的影响。
Ann Behav Med. 2025 Jan 4;59(1). doi: 10.1093/abm/kaae085.
4
A systematic review on eHealth technology personalization approaches.关于电子健康技术个性化方法的系统评价。
iScience. 2024 Aug 19;27(9):110771. doi: 10.1016/j.isci.2024.110771. eCollection 2024 Sep 20.
5
Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.移动健康(m-health)智能手机干预措施用于超重或肥胖的青少年和成年人。
Cochrane Database Syst Rev. 2024 Feb 20;2(2):CD013591. doi: 10.1002/14651858.CD013591.pub2.
6
Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis.反馈生成和呈现对自我监测行为、饮食摄入、身体活动和体重的影响:系统评价和荟萃分析。
Int J Behav Nutr Phys Act. 2024 Jan 4;21(1):3. doi: 10.1186/s12966-023-01555-6.
7
The Association between Neighborhood Walkability and Physical Activity in a Behavioral Weight Loss Trial Testing the Addition of Remotely Delivered Feedback Messages to Self-Monitoring.社区可达性与行为体重管理试验中体力活动的相关性研究,该试验旨在测试将远程反馈信息添加到自我监测中对体重管理的影响。
Behav Med. 2024 Jul-Sep;50(3):232-241. doi: 10.1080/08964289.2023.2238102. Epub 2023 Jul 25.
8
Adherence and eating experiences differ between participants following a flexitarian diet including red meat or a vegetarian diet including plant-based meat alternatives: findings from a 10-week randomised dietary intervention trial.遵循包括红肉的弹性素食饮食或包括植物性肉类替代品的纯素饮食的参与者,其依从性和饮食体验存在差异:一项为期10周的随机饮食干预试验的结果。
Front Nutr. 2023 Jun 14;10:1174726. doi: 10.3389/fnut.2023.1174726. eCollection 2023.
9
Smartphone-supported behavioural weight loss treatment in adults with severe obesity: study protocol for an exploratory randomised controlled trial (SmartBWL).智能手机支持的行为体重管理治疗严重肥胖成年人:一项探索性随机对照试验的研究方案(SmartBWL)。
BMJ Open. 2023 Feb 28;13(2):e064394. doi: 10.1136/bmjopen-2022-064394.
10
Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring.用于日常饮食自我监测的营养相关移动应用程序。
J Nutr Metab. 2022 Aug 30;2022:2476367. doi: 10.1155/2022/2476367. eCollection 2022.
基于智能手机的减肥干预措施SmartLoss的效果:一项随机对照试验的结果
Obesity (Silver Spring). 2015 May;23(5):935-42. doi: 10.1002/oby.21063.
4
Effect of self-efficacy on weight loss: a psychosocial analysis of a community-based adaptation of the diabetes prevention program lifestyle intervention.自我效能对体重减轻的影响:基于社区的糖尿病预防计划生活方式干预适应性调整的社会心理分析
Diabetes Spectr. 2014 Nov;27(4):270-5. doi: 10.2337/diaspect.27.4.270.
5
Dietary self-monitoring and long-term success with weight management.饮食自我监测与长期成功的体重管理。
Obesity (Silver Spring). 2014 Sep;22(9):1962-7. doi: 10.1002/oby.20807. Epub 2014 Jun 13.
6
A systematic review and meta-analysis of interventions for weight management using text messaging.一项关于使用短信进行体重管理干预措施的系统评价和荟萃分析。
J Hum Nutr Diet. 2015 Feb;28 Suppl 2:1-15. doi: 10.1111/jhn.12207. Epub 2014 Jan 31.
7
The use of mHealth to deliver tailored messages reduces reported energy and fat intake.使用移动健康技术传递个性化信息可减少报告的能量和脂肪摄入量。
J Cardiovasc Nurs. 2015 Jan-Feb;30(1):35-43. doi: 10.1097/JCN.0000000000000120.
8
Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial.与网站和纸质日记相比,使用智能手机应用程序进行减肥的依从性:试点随机对照试验。
J Med Internet Res. 2013 Apr 15;15(4):e32. doi: 10.2196/jmir.2283.
9
Using Facebook and text messaging to deliver a weight loss program to college students.利用 Facebook 和短信向大学生提供减肥计划。
Obesity (Silver Spring). 2013 Jan;21(1):25-31. doi: 10.1002/oby.20232.
10
Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program.比较传统方法与移动应用程序自我监测超重成年人参加移动医疗减肥计划时的身体活动和饮食摄入情况。
J Am Med Inform Assoc. 2013 May 1;20(3):513-8. doi: 10.1136/amiajnl-2012-001510. Epub 2013 Feb 21.