Minimizing Memory Errors in Child Diet Assessment

最大限度地减少儿童饮食评估中的记忆错误

• 批准号: 8582288
• 负责人: Tom Baranowski
• 金额: $ 18.9万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-18 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8582288
• 关键词: Adult; Applications Grants; Attention; Child; Cognitive; Confidentiality; Consent; Consumption; Diet; Dietary Assessment; Dietary intake; Dietetics; Dietitian; Eating; Event; Food; Food Analysis; Friends; Health; Hour; Human; Image; Individual; Intake; Intervention; Knowledge; Lighting; Memory; Metabolic syndrome; Methods; Obesity; Outcome; Participant; Patient Self-Report; Pattern; Pattern Recognition; Preparation; Psychosocial Influences; Records; Reporting; Research; Research Personnel; Research Training; Sampling; Self-Administered; Source; System; Systems Development; Telephone; Testing; The Sun; Time; Validation; Validity and Reliability; Work; base; design; field study; food preparation; forgetting; image processing; memory recall; multisensory; nutrition; programs; public health relevance; research study; sensor; skills; social; software systems; willingness

DESCRIPTION (provided by applicant): Sun ASA24-Kids Accurate assessment of dietary intake is important for 1) evaluating the outcome of dietary change interventions, 2) assessing the relationship between diet and health outcomes (e.g., obesity, metabolic syndrome), 3) identifying factors (e.g. environmental, psychosocial) influencing dietary intake which could be targeted in change programs, and 4) assessing diet changes over time (called surveillance). Our research revealed 35% of the foods children reported consuming the previous day were imaginary (called intrusions: observers did not see those foods consumed) and 15% were forgotten (called omissions: foods observers recorded, but were not reported by the children). This level of error needs to be minimized to enhance children's dietary intake assessment accuracy. Pictures of actual meals served, and after consumption, should minimize intrusions and omissions. Problems with the smart phone method of taking meal pictures for children, however, are it requires remembering to carry and use the smart phone correctly at the right time, even in social circumstances (e.g., with certain friends) when child reticence, even embarrassment, may minimize some children's willingness to draw that kind of attention to themselves. Dr. Mingui Sun (U Pittsburgh) has developed a multisensory unit, the e.button, attached to the shirt, which includes a camera, battery and storage to record pictures of everything in front of a child at 2 to 10 second intervals throughout the day. The Sun System requires a trained research assistant to identify the foods, and use of an on screen malleable wire mesh feature to estimate amounts consumed (taking about 10 min/day of images), which are in turn verified by a nutrition/dietetics professional (taking about five min/day of images). Limits of this system are that many foods are hard to recognize in a photo (e.g., poor lighting, odd angle, unusual food, unusual preparation or presentation of the food). Similar problems will occur with an automated system using pattern recognition to identify the foods. The child who consumed the foods, alternatively, should be able to recognize an image of the foods without much difficulty. The ASA24-Kids, adapted to children's abilities from the Automated Self-Administered 24 hour recall (ASA24) for adults, enables children to self-report what they consumed the previous day. Combining the Sun System with ASA24-Kids may permit recording children's dietary intake that minimizes the limitations of child's 24 hour memory by providing images of the foods consumed, yet allows child review of foods in the images. While the feasibility of using an automated image capture method for dietary assessment has been established among adults, parallel work has not been done among children. As a result, we propose creating Sun-ASA24-Kids, adapting it to child abilities, and validating it in a field study. The Sun-ASA24-Kids system could minimize two major sources of child reporting error, and unclear picture errors.

描述(由申请者提供)：Sun ASA24-Kids对饮食摄入量的准确评估对于1)评估饮食变化干预措施的结果，2)评估饮食与健康结果之间的关系(例如，肥胖、代谢综合征)，3)确定影响饮食摄入量的因素(例如，环境、心理社会)，以及4)评估随时间变化的饮食变化(称为监测)非常重要。我们的研究显示，孩子们前一天报告的食物中有35%是虚构的(称为侵入：观察者没有看到那些食物被消费)，15%被遗忘(称为遗漏：食物观察者记录了，但孩子们没有报告)。需要将这种误差水平降至最低，以提高儿童膳食摄入量评估的准确性。实际提供的食物和食用后的照片应尽量减少干扰和遗漏。然而，为孩子拍照的智能手机方法的问题是，它需要记住在正确的时间携带和正确使用智能手机，即使在社交环境中(例如，与某些朋友)，当孩子的沉默，甚至尴尬，可能会降低一些孩子将这种注意力吸引到自己身上的意愿。Mgui Sun博士(匹兹堡大学)研发了一种多感官装置，名为e.Button，安装在衬衫上，包括摄像头、电池和存储器，可以以2到10秒的间隔全天记录孩子面前的一切。太阳系统需要训练有素的研究助理来识别 并使用屏幕上可延展的金属丝网功能估计消耗量(每天拍摄约10分钟的图像)，然后由营养/营养学专业人员进行核实(每天拍摄约5分钟的图像)。这一系统的局限性是许多食物很难在照片中辨认出来(例如，光线不佳、角度奇怪、食物不寻常、食物的准备或呈现不寻常)。使用模式识别来识别食物的自动化系统也会出现类似的问题。或者，食用这些食物的儿童应该能够毫不费力地识别食物的形象。ASA24-Kids根据成人24小时自动召回(ASA24)中儿童的能力进行了调整，使儿童能够自我报告他们前一天吃了什么。将Sun系统与ASA24-Kids相结合，可以记录儿童的饮食摄入量，通过提供所消费食物的图像来最大限度地减少儿童24小时记忆的限制，同时允许儿童查看图像中的食物。虽然在成年人中已经确定了使用自动图像捕获方法进行饮食评估的可行性，但在儿童中还没有进行类似的工作。因此，我们建议创建Sun-ASA24-Kids，使其适应儿童的能力，并在实地研究中进行验证。Sun-ASA24-Kids系统可以最大限度地减少儿童报告错误和不清楚图片错误的两个主要来源。