Toward Next Generation Data on Health and Life Changes at Older Ages

这项建议的目标是捕捉事件的进展以及在 中老年人的日常生活。健康和退休研究(HRS)提供了 基于每两年一次的访谈，对中老年人生活的主要洞察。这个 拟议的研究旨在通过使用密集的数据收集和 创新的设计，允许在假设的事件附近收集非常详细和全面的数据 影响健康和福祉，包括但不限于退休。首先，我们计划管理核心 了解美国研究(UAS，一种基于概率的互联网)中每两年一次的HRS仪器 专家小组)，因此我们与人力资源评估有直接的可比性。第二，我们将关注世界上的重要事件 通过互联网进行简短的月度评估的老年UAS受访者的生活，其中将包括预期的 事件(如退休、换工作、婚姻状况改变)和意外事件(如死亡、疾病、 工作变动)；这些评估将发出信号，立即密集收集数据，以便更好地 将生活环境、健康、行为和幸福感的变化联系起来。第三，密集的评估将 在整个一周内每天跟踪多个变量领域，包括日常疼痛、疲劳、身体状况 功能、压力、幸福感、运动、饮食、社交、睡眠和认知功能。第四，活动- 基于突发的测量将被嵌入到规则的年度密集测量突发的上下文中， 作为评估事件影响的基线。第五，我们计划在 对可穿戴传感器的可行性和实用性进行密集评估，其中一些可用于 在研究设计中永久使用。总体而言，目标是为人们的日常生活提供更丰富的图景 退休前和退休后的生活事件以及其他生活事件，将使我们能够研究通往许多结果的途径， 例如经济和主观幸福感、健康、认知功能和社会参与度。我们预计 这些数据将成为研究社区的宝贵资源，因为它转向更多的互联网采访和 使用新的测量设备。

The goal of this proposal is to capture the progression of events and responses to these events in the everyday life of middle-aged and older individuals. The Health and Retirement Study (HRS) has provided major insights into the lives of middle-aged and older individuals based on interviews every two years. The proposed study aims to advance further understanding through the use of intensive data collection and an innovative design that allows very detailed and comprehensive data collection proximal to events hypothesized to impact health and wellbeing, including but not limited to retirement. First, we plan to administer the core HRS instrument every two years in the Understanding America Study (UAS, a probability-based Internet panel), so that we have direct comparability with the HRS. Second, we will monitor important events in the lives of older UAS respondents with brief, monthly assessments via the Internet, which will include anticipated events (e.g. retirement, job change, change in marital status) and unanticipated events (e.g. deaths, illnesses, job change); these assessments will signal an immediate intensive “burst” of data collection in order to better link changes in life circumstances, health, behaviors, and well-being. Third, the intensive assessments will track multiple domains of variables on a daily basis over an entire week, including daily pain, fatigue, physical functioning, stress, wellbeing, exercise, diet, social interaction, sleep, and cognitive function. Fourth, the event- based burst measurements will be embedded in the context of regular, annual intensive measurement bursts, which serve as baselines for evaluating the impact of events. Fifth, we plan to conduct experiments within the intensive assessments of the feasibility and utility of wearable sensors, some of which may be adopted for permanent use in the study design. Overall, the goal is to provide a much richer picture of people's daily lives both before and after retirement and other life events that will enable the study of pathways to many outcomes, such as financial and subjective wellbeing, health, cognitive functioning, and social engagement. We expect these data to be a valuable resource for the research community as it moves to more internet interviewing and use of novel measurement devices.