Suppr超能文献

在一款严肃的电子游戏中制定行动计划可增加并维持儿童的果蔬摄入量:一项随机对照试验。

Creating action plans in a serious video game increases and maintains child fruit-vegetable intake: a randomized controlled trial.

作者信息

Thompson Debbe, Bhatt Riddhi, Vazquez Isabel, Cullen Karen W, Baranowski Janice, Baranowski Tom, Liu Yan

机构信息

USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, USA.

Department of Family and Community Medicine, Baylor College of Medicine, 3701 Kirby Drive, Houston, TX, USA.

出版信息

Int J Behav Nutr Phys Act. 2015 Mar 18;12:39. doi: 10.1186/s12966-015-0199-z.

Abstract

BACKGROUND

Child fruit and vegetable intake is below recommended levels, increasing risk for chronic disease. Interventions to influence fruit and vegetable intake among youth have had mixed effects. Innovative, theory-driven interventions are needed. Goal setting, enhanced by implementation intentions (i.e., plans tightly connected to a behavioral goal), may offer a solution. Action plans state "how" a goal will be achieved, while coping plans identify a potential barrier and corresponding solution. The research reported here evaluated the short- and long-term effects of goal setting enhanced with implementation intentions on child fruit and vegetable intake in a 10-episode, theoretically-grounded serious videogame promoting fruit and vegetables. This is one of the first studies to test the efficacy of implementation intentions on the dietary intake of healthy children.

METHODS

A four-group randomized design with three data collection periods (baseline, immediate post-intervention, 3 months post-intervention) was employed. Groups varied on whether children created an implementation intention (none, action, coping, both) as part of goal setting. Participants were 4th and 5th grade children (~9-11 years old) and one parent. An a priori power analysis indicated this would provide >80% power to detect a small effect (Cohen's d = 0.17). Children played a 10-episode online videogame; parents received 10 electronic newsletters and access to a parent-only website. The primary outcome was child fruit and vegetable intake, assessed via three, dietitian-assisted telephone recalls at each data collection period. The primary analysis was conducted using a repeated measures analysis of covariance with a mixed model procedure. Secondary analyses examined intervention effects on fruit and vegetables separately.

RESULTS

Four hundred parent/child dyads were recruited. A significant group-by-time interaction for fruit and vegetable intake (p < 0.001) was found in only the Action group, which had significant increases in fruit and vegetable intake at post 1 (p < 0.0001) and post 2 (p < 0.0001). No other significant interactions were observed; however, there were significant time effects for fruit (p < 0.0001).

CONCLUSIONS

Action intentions may be an important component of successful interventions to increase and maintain fruit and vegetable intake in pre-adolescent children. Videogames promoting healthy diets offer an effective vehicle for delivering behavior change interventions to children.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01004094 .

摘要

背景

儿童水果和蔬菜摄入量低于推荐水平,增加了患慢性病的风险。旨在影响青少年水果和蔬菜摄入量的干预措施效果不一。需要创新的、基于理论的干预措施。目标设定,并通过实施意图(即与行为目标紧密相连的计划)加以强化,可能会提供一种解决方案。行动计划阐述了实现目标的“方式”,而应对计划则确定了潜在障碍及相应解决方案。此处报告的研究评估了在一款以理论为基础、共10集的推广水果和蔬菜的严肃电子游戏中,强化了实施意图的目标设定对儿童水果和蔬菜摄入量的短期和长期影响。这是首批测试实施意图对健康儿童饮食摄入量功效的研究之一。

方法

采用四组随机设计,有三个数据收集期(基线期、干预后即刻、干预后3个月)。根据儿童在目标设定过程中是否制定实施意图(无、行动计划、应对计划、两者皆有)对组进行区分。参与者为四年级和五年级儿童(约9 - 11岁)及一名家长。一项预先的功效分析表明,这将提供超过80%的功效来检测微小效应(科恩d值 = 0.17)。儿童玩一款10集的在线电子游戏;家长收到10份电子时事通讯并可访问一个家长专属网站。主要结局是儿童水果和蔬菜摄入量,在每个数据收集期通过三次由营养师协助的电话饮食回忆进行评估。主要分析采用重复测量协方差分析和混合模型程序。次要分析分别考察干预对水果和蔬菜的影响。

结果

招募了400对亲子。仅在行动计划组中发现水果和蔬菜摄入量存在显著的组×时间交互作用(p < 0.001),该组在第1次干预后(p < 0.0001)和第2次干预后(p < 0.0001)水果和蔬菜摄入量有显著增加。未观察到其他显著交互作用;然而,水果存在显著的时间效应(p < 0.0001)。

结论

行动意图可能是成功干预以增加和维持青春期前儿童水果和蔬菜摄入量的重要组成部分。推广健康饮食的电子游戏为向儿童提供行为改变干预措施提供了一种有效手段。

试验注册

ClinicalTrials.gov NCT01004094 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7c/4372224/7fe24e9747e1/12966_2015_199_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验