Smartphone-based assessment of food environment, diet, and obesity risk

基于智能手机的食品环境、饮食和肥胖风险评估

基本信息

批准号：
8718524
负责人：
Jenna Hua
金额：
$ 3.64万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-08-18 至 2016-08-17
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8718524
关键词：
Accounting Adult Affect Behavior Build-it Cardiovascular Diseases Child China Chinese People Chronic Disease Cities Clinical Research Cohort Studies Collaborations Data Diet Diet Records Eating Energy Intake Environment Environmental Exposure Epidemic Epidemiologic Studies Exposure to Fatigue Fatty acid glycerol esters Food Food Packaging Future Goals Health High School Student Individual Internet Interpersonal Relations Intervention Life Style Location Longitudinal Studies Malignant Neoplasms Maps Measurement Measures Medical Methodology Metric Mining Modeling Modernization Monitor Muscle Neighborhoods Non-Insulin-Dependent Diabetes Mellitus Obesity Outcome Output Overweight Participant Pathway Analysis Patient Self-Report Pattern Persons Physical activity Pilot Projects Policies Population Public Health Research Research Personnel Restaurants Risk Risk Factors Route Site Skin Smoking Social Interaction Social Network Sodium Chloride Source Stress Students Technology Telephone Testing Time Triceps Brachii Muscle Universities Upper arm Urban Developments Variant Voice actigraphy aged base combat density disability disorder risk environmental change fast food food environment fruits and vegetables improved obesity risk peer influence public health relevance residence sex social sugar usability waist circumference

项目摘要

DESCRIPTION (provided by applicant): The goal of my proposed dissertation research is to integrate smartphone and internet data technologies to develop and validate new methodologies in objectively assessing diet and physical activity patterns and built environment exposures in order to examine the relationships between personal food environment exposures, diets and obesity risk in a susceptible population in a rapidly urbanizing environment where risk transitions are rapidly occurring. This research is highly relevant to the protection of public health as many regions of the world are rapidly urbanizing and are at risk for obesity. Kunming is a prototypical medium-sized city in China, where there is rapid redevelopment and construction of new neighborhoods along the lines of the modernization that has already occurred in eastern coastal cities such as Shanghai and Beijing. These environmental changes are paralleled by rapidly increasing child and adult obesity rates. It is an excellent site for thi research, as it builds upon pilot studies and collaborations with researchers and students at Kunming Medical University that I have developed over the last two years. My research aims are to 1. Assess the citywide differences in food environment in Kunming using Google Maps and field observations; 2. Quantify personal food environment exposures in 264 high school students based on each student's smartphone GPS routes; 3. Record diet patterns using voice-annotated video and physical activities via smartphones, and 4. Assess the relationships between food environment, diet and physical activity patterns and social networks, and their associations with BMI via multivariate modeling.

描述（由申请人提供）：我提出的论文研究的目的是整合智能手机和互联网数据技术，以在客观地评估饮食和体育锻炼模式和建立环境暴露时开发和验证新方法，以便在快速脉动脉动的环境中，在易于过渡的环境中，易于过渡的环境中，个人食品环境的暴露，饮食和肥胖风险之间的关系很快。这项研究与保护公共卫生高度相关，因为世界许多地区都在迅速城市化，并且有肥胖的风险。昆明是中国一个典型的中型城市，沿着现代化的新街区的快速重建和建设已经发生在上海和北京等东沿海城市。这些环境变化与迅速增加的儿童和成人肥胖率相似。它是研究的绝佳网站，因为它在过去两年中与昆明医科大学的研究人员和学生合作建立了基于试点研究和合作。我的研究目的是1。使用Google地图和现场观察评估Kunming全市食品环境的差异； 2。根据每个学生的智能手机GPS路线，量化264名高中生的个人食品环境； 3。使用智能手机的语音视频和体育活动记录饮食模式，以及4。评估食物环境，饮食和体育活动模式与社交网络之间的关系，以及它们通过多变量建模与BMI的关联。