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一项名为“SMARTFAMILY”的基于家庭的集体移动健康干预对促进身体活动和健康饮食的影响:一项随机对照试验方案

Effects of a Collective Family-Based Mobile Health Intervention Called "SMARTFAMILY" on Promoting Physical Activity and Healthy Eating: Protocol for a Randomized Controlled Trial.

作者信息

Wunsch Kathrin, Eckert Tobias, Fiedler Janis, Cleven Laura, Niermann Christina, Reiterer Harald, Renner Britta, Woll Alexander

机构信息

Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Department of Sports Science, University of Konstanz, Konstanz, Germany.

出版信息

JMIR Res Protoc. 2020 Nov 11;9(11):e20534. doi: 10.2196/20534.

DOI:10.2196/20534
PMID:33174849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7688389/
Abstract

BACKGROUND

Numerous smartphone apps are targeting physical activity and healthy eating, but empirical evidence on their effectiveness for initialization and maintenance of behavior change, especially in children and adolescents, is still limited.

OBJECTIVE

The aim of this study was to conceptualize a theory-based and evidence-based mHealth intervention called SMARTFAMILY (SF) that targets physical activity and healthy eating in a collective family-based setting. Subsequently, the app will be refined and re-evaluated to analyze additional effects of just-in-time adaptive interventions (JITAIs) and gamification features.

METHODS

A smartphone app based on behavior change theories and behavior change techniques was developed and implemented and will be evaluated with family members individually and cooperatively (SF trial). Existing evidence and gained results were used to refine and will be used to re-evaluate the app (SF2.0 trial). Both trials are cluster randomized controlled trials with 3 measurement occasions. The intervention group uses the app for 3 consecutive weeks, whereas the control group receives no treatment. Baseline measurements (T) and postintervention measurements (T) include physical activity (ie, self-reported and accelerometry) and healthy eating measurements (ie, self-reported fruit and vegetable intake) as the primary outcomes. The secondary outcomes (ie, self-reported) are intrinsic motivation, behavior-specific self-efficacy, and the family health climate, complemented by an intentional measure in SF2.0. Four weeks following T, a follow-up assessment (T) is completed by the participants, consisting of all questionnaire items to assess the stability of the intervention effects. Mixed-method analysis of covariance will be used to calculate the primary intervention effects (ie, physical activity, fruit and vegetable intake) while controlling for covariates, including family health climate, behavior-specific self-efficacy, and intrinsic motivation.

RESULTS

This study is funded by the German Federal Ministry of Education and Research and ethically approved by the Karlsruhe Institute of Technology. For both trials, it is hypothesized that the apps will positively influence physical activity and healthy eating in the whole family. Furthermore, SF2.0 is expected to produce stronger effects (ie, higher effect sizes) compared to SF. SF app development and piloting are completed. Data acquisition for the SF trial is terminated and discontinued due to the COVID-19 pandemic. SF2.0 app development and piloting are completed, while data acquisition is ongoing. Participant recruitment for the SF 2.0 trial started in February 2020. The results for SF are expected to be published in mid-2021, and the results of SF2.0 are expected to be published in mid-2022.

CONCLUSIONS

In this study, it is hypothesized that targeting the whole family will facilitate behavior change at the individual level and the family level, as the implemented strategies address changes in daily family life. Furthermore, subsequent app development (SF2.0) with supplementary addition of motivation-enhancing features and a JITAI approach is expected to enhance positive intervention effects.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00010415; https://tinyurl.com/yyo87yyu.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/20534.

摘要

背景

众多智能手机应用程序都以身体活动和健康饮食为目标,但关于它们在引发和维持行为改变方面有效性的实证证据仍然有限,尤其是在儿童和青少年中。

目的

本研究旨在构思一种基于理论和证据的移动健康干预措施,称为SMARTFAMILY(SF),该措施在以家庭为单位的集体环境中针对身体活动和健康饮食。随后,将对该应用程序进行优化和重新评估,以分析实时自适应干预(JITAIs)和游戏化功能的额外效果。

方法

开发并实施了一款基于行为改变理论和行为改变技术的智能手机应用程序,并将与家庭成员分别及合作进行评估(SF试验)。利用现有证据和已获得的结果对应用程序进行优化,并将用于重新评估该应用程序(SF2.0试验)。两项试验均为整群随机对照试验,有3个测量时点。干预组连续3周使用该应用程序,而对照组不接受任何治疗。基线测量(T1)和干预后测量(T2)包括身体活动(即自我报告和加速度计测量)和健康饮食测量(即自我报告的水果和蔬菜摄入量)作为主要结局。次要结局(即自我报告)为内在动机、行为特定自我效能感和家庭健康氛围,并在SF2.0中辅以一项意向性测量。在T2之后4周,参与者完成随访评估(T3),包括所有问卷项目以评估干预效果的稳定性。将使用协方差的混合方法分析来计算主要干预效果(即身体活动、水果和蔬菜摄入量),同时控制协变量,包括家庭健康氛围、行为特定自我效能感和内在动机。

结果

本研究由德国联邦教育与研究部资助,并获得卡尔斯鲁厄理工学院的伦理批准。对于两项试验,均假设该应用程序将对整个家庭的身体活动和健康饮食产生积极影响。此外,预计SF2.0与SF相比将产生更强的效果(即更高的效应量)。SF应用程序的开发和试点已完成。由于COVID-19大流行,SF试验的数据采集已终止。SF2.0应用程序的开发和试点已完成,而数据采集正在进行中。SF 2.0试验的参与者招募于2020年2月开始。预计SF的结果将于2021年年中发表,SF2.0的结果将于2022年年中发表。

结论

在本研究中,假设针对整个家庭将促进个体层面和家庭层面的行为改变,因为所实施的策略涉及日常家庭生活中的变化。此外,后续添加激励增强功能和JITAI方法的应用程序开发(SF2.0)预计将增强积极的干预效果。

试验注册

德国临床试验注册中心DRKS00010415;https://tinyurl.com/yyo87yyu。

国际注册报告识别码(IRRID):DERR1-10.2196/20534。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/f1245b14b63c/resprot_v9i11e20534_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/d185cd444870/resprot_v9i11e20534_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/855f0bc09731/resprot_v9i11e20534_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/c999c042777d/resprot_v9i11e20534_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/50ed372df30b/resprot_v9i11e20534_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/f1245b14b63c/resprot_v9i11e20534_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/d185cd444870/resprot_v9i11e20534_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/855f0bc09731/resprot_v9i11e20534_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/c999c042777d/resprot_v9i11e20534_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/50ed372df30b/resprot_v9i11e20534_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfc/7688389/f1245b14b63c/resprot_v9i11e20534_fig5.jpg

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本文引用的文献

1
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2
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JMIR Mhealth Uhealth. 2020 Jan 7;8(1):e13191. doi: 10.2196/13191.
3
The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.
Web-Based Intervention to Act for Weight Loss in Adults With Type 2 Diabetes With Obesity (Chance2Act): Protocol for a Nonrandomized Controlled Trial.
基于网络的2型糖尿病肥胖成人减肥干预措施(Chance2Act):非随机对照试验方案
JMIR Res Protoc. 2024 Jan 31;13:e48313. doi: 10.2196/48313.
4
Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries.揭示消费者对饮食与身体活动联合应用程序共创功能的偏好和意向:4 个欧洲国家的横断面研究。
JMIR Hum Factors. 2023 Dec 11;10:e44993. doi: 10.2196/44993.
5
Planting Seeds for the Future: Scoping Review of Child Health Promotion Apps for Parents.为未来播下种子:针对父母的儿童健康促进应用程序的范围综述。
JMIR Mhealth Uhealth. 2023 Jul 20;11:e39929. doi: 10.2196/39929.
6
Improving family health climate, effect of role modeling and maternal support in female students.改善家庭健康氛围,榜样作用和母亲支持对女学生的影响。
BMC Prim Care. 2023 Mar 13;24(1):70. doi: 10.1186/s12875-023-02015-7.
7
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8
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9
Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING).概念模糊性围绕游戏化和严肃游戏在医疗保健:文献综述和发展基于游戏的干预措施报告指南(GAMING)。
J Med Internet Res. 2021 Sep 10;23(9):e30390. doi: 10.2196/30390.
10
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Sensors (Basel). 2021 Apr 10;21(8):2672. doi: 10.3390/s21082672.
基于应用程序的移动干预措施对营养行为和营养相关健康结果的有效性:系统评价和荟萃分析。
Obes Rev. 2019 Oct;20(10):1465-1484. doi: 10.1111/obr.12903. Epub 2019 Jul 28.
4
Boosting healthy food choices by meal colour variety: results from two experiments and a just-in-time Ecological Momentary Intervention.通过餐食颜色多样性促进健康食物选择:两项实验和一项即时生态瞬间干预的结果。
BMC Public Health. 2019 Jul 22;19(1):975. doi: 10.1186/s12889-019-7306-z.
5
A meta-analysis of the health action process approach.健康行动过程分析的荟萃分析。
Health Psychol. 2019 Jul;38(7):623-637. doi: 10.1037/hea0000728. Epub 2019 Apr 11.
6
Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography.移动健康促进身体活动的体验:定性系统评价和荟萃民族志。
PLoS One. 2018 Dec 17;13(12):e0208759. doi: 10.1371/journal.pone.0208759. eCollection 2018.
7
Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach.描述采用营养与健身应用程序的过程:行为阶段模型方法。
JMIR Mhealth Uhealth. 2018 Mar 13;6(3):e55. doi: 10.2196/mhealth.8261.
8
The frequency of family meals and nutritional health in children: a meta-analysis.家庭用餐频率与儿童营养健康:荟萃分析。
Obes Rev. 2018 May;19(5):638-653. doi: 10.1111/obr.12659. Epub 2018 Jan 15.
9
The association between social support and physical activity in older adults: a systematic review.老年人社会支持与身体活动之间的关联:一项系统综述
Int J Behav Nutr Phys Act. 2017 Apr 27;14(1):56. doi: 10.1186/s12966-017-0509-8.
10
What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.移动健康的经济证据是什么?对移动健康解决方案经济评估的系统综述。
PLoS One. 2017 Feb 2;12(2):e0170581. doi: 10.1371/journal.pone.0170581. eCollection 2017.