Remote food photography for the real-time measurement of children's food intake

远程食物摄影，实时测量儿童食物摄入量

基本信息

批准号：
8587376
负责人：
CORBY K MARTIN
金额：
$ 0.15万
依托单位：
LSU PENNINGTON BIOMEDICAL RESEARCH CTR
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-04-01 至 2015-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8587376
关键词：
18 year old Address Adolescent Adult Affect Age Algorithms Applications Grants Body Weight Caregiver Burden Child Clinical Computers Cost Effectiveness Analysis Data Data Collection Development Eating Electronic Mail Energy Intake Environment Equilibrium Error Sources Fatty acid glycerol esters Food Food Selections Gold Health Hour Image Image Analysis Intake Intervention Label Laboratories Length Life Literature Malnutrition Manuscripts Measurement Measures Methodology Methods Modification Monitor Non-Insulin-Dependent Diabetes Mellitus Nutrient Obesity Overweight Paper Participant Patient Self-Report Patients Photography Preparation Prevalence Public Health Records Research Research Personnel Sampling Schools Testing Time Treatment Efficacy United States Validity and Reliability Water Weight Weight Gain Weight maintenance regimen base cost effective digital imaging efficacy testing energy balance experience iron deficiency obesity in children public health relevance satisfaction sex tool wasting wireless network

项目摘要

DESCRIPTION (provided by applicant): The prevalence of overweight and obesity among children and adolescents is increasing. Alarmingly, overweight and obese children are experiencing weight-related health problems before adulthood, such as type 2 diabetes mellitus. Weight gain and obesity are the consequence of a positive energy balance, which occurs when more energy is ingested than expended, and energy intake is an important predictor of weight gain. The types of foods that children and adolescents eat also affect health. Children and adolescents consume over 500 kcal/day of low-nutrient, energy dense foods, and nutritional deficiency can occur even in the presence of overconsumption of energy. For example, obese children have higher rates of iron deficiency. Accurate methods to measure the food intake of children and adolescents are needed to facilitate research and interventions to promote healthy eating and weight management. Existing methods, such as self- report (e.g., food records), are associated with significant participant and, with younger children, caregiver burden. Moreover, these methods produce inaccurate (low) estimates of food intake, particularly for people of higher body mass and adolescents. A large source of error when using these methods is due to participants' poor estimation of portion size. Hence, there is a need to develop and validate methods to estimate the food intake of children, namely adolescents that do not rely on the participant's ability to accurately estimate portion size. Our group developed the Remote Food Photography Method (RFPM) for measuring the food intake of adults in near real-time, and the validity data are positive. The RFPM underestimated energy intake by less than 7% over 7 days in free-living conditions when compared to the gold standard, doubly labeled water. When utilizing the RFPM, participants use a Smartphone to take pictures of their food selection and plate waste. These pictures are immediately sent to the researchers via a wireless network. Participants receive automated prompts (emails) on the Smartphone that are consistent with Ecological Momentary Assessment (EMA) methodology reminding them to take pictures of their foods. Computer applications were developed to manage EMA methods and to automatically identify foods and estimate food intake using computer imaging algorithms. Data are collected and analyzed quickly and efficiently, allowing near real-time food intake measurement. During the proposed research, the RFPM will be modified to measure the food intake of adolescents. The validity of the RFPM will then be compared to the validity of pen-and-paper food records. Following modification of the RFPM and pilot testing with 4 adolescents, the reliability and validity of the RFPM and food records will then be tested in a sample of 64 adolescents (age 12-18 years). In a balanced order across participants, the RFPM will be used during one week, and food records will be used during another week. Food intake estimated with both methods will be compared to three gold standards: 1) energy intake measured by doubly labeled water (DLW) in free-living conditions, 2) food intake (energy and nutrient intake) measured during lunch in a school cafeteria, and 3) food intake measured during a laboratory-based test meal. User satisfaction and burden also will be compared between methods (RFPM and food records), and a cost- effectiveness analysis will determine if and under what conditions one method is more cost-effective than the other. We will also test if the RFPM's validity is associated with levels of energy intake.

描述（由申请人提供）：儿童和青少年超重和肥胖的患病率正在增加。令人震惊的是，超重和肥胖的儿童在成年前会遇到与体重有关的健康问题，例如2型糖尿病。体重增加和肥胖是正能量平衡的结果，当摄入比消耗更多的能量时发生，而能量摄入是体重增加的重要预测指标。儿童和青少年饮食的食物类型也会影响健康。儿童和青少年在能量过度消耗的情况下即使在存在过度消费的情况下，也会出现低营养，能量密集食品和营养缺乏的500 kcal/天的低营养和营养缺乏症。例如，肥胖儿童的铁缺乏症率更高。需要进行衡量儿童和青少年食物摄入量的准确方法，以促进研究和干预措施以促进健康的饮食和体重管理。现有方法，例如自我报告（例如食品记录），与重要的参与者以及年幼的孩子负担有关。此外，这些方法会产生食物摄入量的不准确（低）估计值，特别是对于较高体重和青少年的人。使用这些方法时，误差源很大，是由于参与者对部分大小的估计不佳。因此，有必要开发和验证方法来估计儿童的食物摄入量，即不依赖参与者准确估计部分大小的能力的青少年。我们的小组开发了远程食品摄影方法（RFPM），用于近实时测量成年人的食物摄入量，并且有效性数据为正。与黄金标准（双重标记的水）相比，在自由生活条件下，在7天内，RFPM在7天内低估了能源摄入量不到7％。使用RFPM时，参与者使用智能手机为他们的食物选择和盘子浪费拍照。这些图片立即通过无线网络发送给研究人员。参与者在智能手机上收到与生态瞬时评估（EMA）方法一致的自动提示（电子邮件），提醒他们拍照食物。开发了计算机应用来管理EMA方法并自动识别食物并使用计算机成像算法估算食物摄入量。收集和有效地收集和分析数据，从而允许接近实时的食物摄入量。在拟议的研究中，将对RFPM进行修改以测量青少年的食物摄入量。然后将RFPM的有效性与笔和纸食品记录的有效性进行比较。经过4个青少年进行了RFPM和试点测试，RFPM和食物记录的可靠性和有效性将在64名青少年（12-18岁）的样本中进行测试。在参与者之间平衡的顺序，RFPM将在一周内使用，并且将在另一个星期内使用食物记录。用这两种方法估计的食物摄入量将与三个金标准进行比较：1）在自由生活条件下通过双重标记的水（DLW）测量的能量摄入量，2）在午餐期间在学校食堂中测量的食物摄入量（能量和营养摄入量），以及3）在实验室测试餐中测量的食物摄入量。在方法（RFPM和食品记录）之间还将比较用户满意度和负担，并且成本效益分析将确定一种方法是否和在哪种条件下是否比另一种方法更具成本效益。我们还将测试RFPM的有效性是否与能量摄入水平有关。