TWINStudy of Environment, Lifestyle Behaviors, and Health

这项研究的目标是确定个人生活、工作和生活的建筑环境 日常玩耍会影响他们的生活方式、行为和健康。我们结合了先进的方法在 使用尖端技术多传感器板(MSB)管理和分析地理空间数据 实时收集有关建筑环境和生活方式行为的客观信息。这个 MSB是一款小型可穿戴设备，具有多种传感功能，包括加速计、气压计 压力和位置，无线连接到支持WiFi的移动电话。户外和室内活动 使用GPS和WiFi信号进行监测，以获得高空间分辨率的数据。这部手机有 已被改编为自动食物摄取程序。我们将使用这个集成工具来研究 以社区为基础的成人单合子样本中环境对生活方式、行为和健康的影响 一起长大但现在分居的双胞胎。有了这些工具和方法，我们将创造一个独特的 丰富的数据集，将与地点相关的实时和空间的体力活动和饮食的严格测量联系在一起 在建筑环境中。这种方法将通过测量生活方式来建立和扩展我们的知识 在单个居住地点(社区)内外连续时间和空间内的行为 双胞胎。使用同卵双胞胎对照设计，我们将检查分开生活的同卵双胞胎对，并确定如何 家庭建造的环境影响步行和总体力活动的水平，不受遗传和 家族影响。接下来，我们将实时测量和比较基于位置的活动和进食事件 为了调查这对双胞胎使用与活动相关的自制环境功能的频率 还有吃东西。通过测量在家庭建筑环境中发生的活动和进食事件的数量与 在远距离建成的环境中，包括工作、交通和娱乐相关的环境，我们将能够确定 是否与家庭建筑环境的特征的接近与其使用相关联。最后，我们会 测量居住在一起的双胞胎的建筑环境、生活方式行为和体重指数之间的关系 通过将体重状况与体力活动水平和食物摄入量联系起来，确定身体质量指数是否 通过这些行为与建筑环境相关联。我们的科学方法将概念 来自行为科学和社会科学的模型，包括生物、计算和物理测量 基因信息丰富的研究设计。这项工作为使用现有的存储库奠定了关键基础 表型数据和生物样本，包括DNA，在未来的研究中确定特定基因如何 与环境相互作用，影响行为和健康。最终，我们独特的样本和科学 方法将带来新的和重要的见解，将环境、行为和遗传方面联系起来 肥胖和慢性病。

The goal of this research is to determine how the built environment in which individuals live, work, and play in on a daily basis influences their lifestyle behaviors and health. We couple advanced methods in geospatial data management and analysis with cutting-edge technology, the multisensor board (MSB), to gather objective information about the built environment and lifestyle behaviors in real time and space. The MSB is a small wearable device with multiple sensing capabilities, including accelerometry, barometric pressure, and location, connected wirelessly to a WiFi enabled mobile telephone. Outdoor and indoor activities are monitored using GPS and WiFi signals to obtain data with high spatial resolution. The mobile phone has been adapted for use as an automated food intake program. We will use this integrated tool in a study of environmental influences on lifestyle behaviors and health in a community-based sample of adult monozygotic twins who were reared together but now live apart. With these tools and methods, we will create a unique and rich dataset linking rigorous measures of physical activity and eating in real time and space relative to locations in the built environment. This approach will build upon and extend our knowledge by measuring lifestyle behaviors in continuous time and space within and beyond the individual residential locations (neighborhoods) of twins. Using a co-twin control design, we will examine monozygotic pairs who live apart and determine how the home built environment influences levels of both walking and total physical activity, free of genetic and familial influences. Next, we will measure and compare location-based activity and eating episodes in real-time to investigate how often the twins use features of their home built environment that are associated with activity and eating. By measuring how many activity and eating episodes occur in the home built environment versus in distal built environments, including work, transit, and recreation-related settings, we will be able to determine whether proximity to features of the home built environment are associated with their use. Finally, we will measure associations among the built environment, lifestyle behaviors, and body mass index in twins who live apart by linking weight status with physical activity levels and food intake to determine if body mass index is associated with the built environment through these behaviors. Our scientific approach integrates conceptual models from the behavioral and social sciences with biological, computational, and physical measures in a genetically informative research design. This effort lays the critical groundwork to use an existing repository of phenotypic data and biological samples, including DNA, in future research to determine how specific genes interact with the environment to influence behaviors and health. Ultimately, our unique sample and scientific methods will lead to new and important insights linking environmental, behavioral, and genetic aspects of obesity and chronic disease.