首页> 美国卫生研究院文献>Paediatrics Child Health >PROJECT LEAPP (LEARNING TO EAT APP): DEVELOPING AN IPAD-BASED VIDEO MODELING INTERVENTION TO INCREASE FOOD VARIETY IN CHILDREN WITH AUTISM SPECTRUM DISORDER (ASD)
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PROJECT LEAPP (LEARNING TO EAT APP): DEVELOPING AN IPAD-BASED VIDEO MODELING INTERVENTION TO INCREASE FOOD VARIETY IN CHILDREN WITH AUTISM SPECTRUM DISORDER (ASD)

机译:项目LEAPP(学习EAT APP):开发基于IPAD的视频建模干预措施以增加患有自闭症谱系障碍(ASD)的儿童的食物种类

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摘要

>BACKGROUND: Feeding difficulties affect up to 80% of children with ASD starting as early as 6 months of age. Food selectivity (FS) is the most commonly reported phenomenon by families and can lead to parental stress, strained parent-child interactions, and long-term health consequences such as nutrient deficiency, diabetes, and cardiovascular disease. FS is often chronic and resistant to treatment, but behavioural interventions for FS are supported. While successful, such interventions can be costly and resource intensive, and results may not be maintained over time. Video modeling intervention (VMI) is a promising new approach that incorporates video modeling (VM), where a child is expected to imitate the behaviour of interest after viewing a video recording of it. VM has been successful in teaching a variety of skills to children with ASD, including, play, communication, and daily living skills, but to our knowledge has not been attempted as a VM strategy targeting feeding behaviours in ASD. >OBJECTIVES: This project serves as the starting point in investigating whether a VMI will increase food variety in preschoolers with ASD and a history of food refusal. Our objective is to develop a novel VM tool incorporating applied behavioural analysis strategies to deliver feeding intervention to preschoolers with ASD. >DESIGN/METHODS: An iPad application with an animated model will be developed based on operant conditioning and systematic desensitization. Input was collected from a developmental panel (behavioural therapist, occupational therapist, speech language pathologist, engineer, animator, family team leader) to design the initial prototype. Themes generated from two focus groups consisting of clinicians with expertise in ASD and parents of preschoolers with ASD will address LEApp’s core design. Initial user testing and feedback regarding the application will be collected to revise LEApp. >RESULTS: Our preliminary prototype (Figure 1 and 2) was created based on an initial literature review and with concepts derived from feeding intervention outlined by our developmental panel. The application will be modified pending the results of the focus group discussions. >CONCLUSION: Project LEApp represents the first step in the creation and exploration of a novel tool that has the potential to impact an essential skill early in the lives of children with ASD. By involving children, their parents and multidisciplinary specialists throughout the process, LEApp has the potential not only to impact feeding outcomes, but can also be shared and utilized universally by families in any setting, thus filling a need in existing feeding intervention.(, )
机译:>背景:进食困难会影响多达80%的ASD儿童,早在6个月大就开始。食物选择性(FS)是家庭中最普遍报道的现象,可能导致父母压力,亲子互动紧张以及营养不良,糖尿病和心血管疾病等长期健康后果。 FS通常是慢性的并且对治疗有抵抗力,但是支持FS的行为干预。虽然成功,但此类干预可能会导致成本高昂且占用大量资源,并且可能无法长期保持结果。视频建模干预(VMI)是一种很有前途的新方法,它结合了视频建模(VM),在这种情况下,期望儿童在观看感兴趣的视频记录后模仿感兴趣的行为。 VM已成功向ASD儿童教授各种技能,包括游戏,沟通和日常生活技能,但据我们所知,尚未尝试将VM作为针对ASD喂养行为的VM策略。 >目标:该项目作为调查VMI是否会增加患有ASD和拒绝食物史的学龄前儿童食物种类的起点。我们的目标是开发一个包含应用行为分析策略的新颖VM工具,以向ASD的学龄前儿童提供喂养干预。 >设计/方法:将基于操作条件和系统脱敏开发具有动画模型的iPad应用程序。从开发小组(行为治疗师,职业治疗师,言语病理学家,工程师,动画师,家庭小组负责人)收集了输入,以设计初始原型。由两个专门研究ASD的临床医生和具有ASD的学龄前儿童的父母组成的焦点小组产生的主题将涉及LEApp的核心设计。将会收集有关该应用程序的初始用户测试和反馈以修订LEApp。 >结果:我们的初步原型(图1和图2)是根据初步的文献综述以及发展小组概述的喂养干预得出的概念而创建的。该应用程序将在焦点小组讨论的结果之前进行修改。 >结论:LEApp项目代表着创建和探索一种新颖工具的第一步,该工具可能会影响ASD儿童早期的一项基本技能。通过让孩子,他们的父母和多学科专家参与到整个过程中,LEApp不仅具有影响喂养结果的潜力,而且在任何情况下都可以被家庭共享和广泛使用,从而满足了现有的喂养干预需求。(,) <!-fig ft0-> <!-fig mode =文章f1-> <!-fig ft0-> <!-fig mode =文章f1->

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