Time Use Data for Health and Well-Being

项目总结/摘要 了解时间的使用对人口的健康和福祉至关重要。这项提议寻求继续提供资金 健康和福祉项目的时间使用数据，以扩大和丰富IPUMS时间使用。IPUMS时间 Use提供来自欧洲、亚洲和北美19个国家的统一时间日志数据， 对时间使用随时间和空间变化的一致分析。IPUMS时间使用数据可通过三个 集成数据库：（1）ATUS-X集成了美国时间使用调查（American Time Use Survey，简称TIME），包括一天的 每年对近10，000名15岁及以上的人进行时间日记采访;（2）AHTUS-X协调了 与美国1930年至1998年的历史时间使用数据进行比较;（3）MTUS-X提供84个协调时间 来自19个国家的日记数据集。这些数据库针对跨时间和跨国分析进行了优化， 消除了调查人员从原始数据制作者处获取源数据、下载和管理 复杂的多级分层数据，并导航数据结构，变量名称和编码的差异 阴谋通过免费传播来自世界各地的时间日记数据，IPUMS时间使用及时产生 对美国和全球人口的时间利用和健康与福祉进行有影响力的研究。的 拟议的项目将在四个方面进一步改善这一开创性研究的关键资源：（1）数据 获取：该团队将获取并保存来自发达国家的时间日志微观数据，包括 最新的时间日记微数据我们将以我们团队在这一领域的工作为基础， 与数据生产者的关系。(2)数据库扩展：本项目阶段将增加五个新的数据库年 数据（2022年至2026年）到ATUS-X，包括2021年的健康数据，2022-23年的饮食和健康数据，以及2024年的健康数据。 休假和工作灵活性模块;通过添加2026年和1936年时间日记的ATUS数据来扩展AHTUS-X 来自纽约妇女的数据;并通过纳入 目前数据库中有19个国家的新数据，并增加了比利时的三波数据。这些 数据库将增加近20万人和450万项活动。(3)数据、元数据和 基础设施的改善：改善将增加研究机会，可重复性和严谨性：（a） 构建新的和谐的福祉，职业，行业，地理，健康，白天和睡眠质量 措施;（B）建立一个面向用户的应用程序编程接口（API），使研究人员 （c）加强在线分析能力， 充分整合用户创建的数据集和基于云的分析;以及（d）开发一个强大的互动工具 以说明人口普查与当前人口调查之间可能存在的联系。(4)扩展和支持 研究界：通过强大的用户支持，推广和培训，该项目将达到新的， 代表性不足，以及跨学科的早期职业学者，并训练他们使用时间日记数据。

Project Summary/Abstract Understanding time use is essential for population health and well-being. This proposal seeks continued funding for the Time Use Data for Health and Well-Being Project to expand and enrich IPUMS Time Use. IPUMS Time Use delivers harmonized time diary data from 19 countries spanning Europe, Asia, and North America, allowing consistent analysis of variation in time use over time and space. IPUMS Time Use data are available via three integrated databases: (1) ATUS-X integrates the American Time Use Survey (ATUS), which consists of one-day time diary interviews with nearly 10,000 individuals aged 15 and older per year; (2) AHTUS-X harmonizes the ATUS with historical American time use data from 1930 to 1998; and (3) MTUS-X delivers 84 harmonized time diary datasets from 19 countries. These databases are optimized for cross-time and cross-country analyses, eliminating the need for investigators to acquire source data from original data producers, download and manage complex multi-level hierarchical data, and navigate differences in data structures, variable names, and coding schemes. By freely disseminating time diary data from around the world, IPUMS Time Use engenders timely and impactful research on time use and the health and well-being of the U.S. and global population. The proposed project will further improve this crucial resource for pathbreaking research in four ways: (1) Data acquisition: The team will obtain and preserve time diary microdata from across the developed world, including the newest time diary microdata available. We will build on our team's work in this area and leverage existing relationships with data producers. (2) Database expansion: This project phase will add five new years of ATUS data (2022 to 2026) to ATUS-X, including data from the 2021 Well-Being, 2022-23 Eating and Health, and 2024 Leave and Job Flexibilities Modules; expand AHTUS-X by adding ATUS data through 2026 and 1936 time diary data from women in New York; and extend the temporal and geographic coverage of MTUS-X by incorporating new data for 19 countries currently in the database and adding three waves of data from Belgium. These additions will add nearly 200,000 people and 4.5 million activities to the database. (3) Data, metadata, and infrastructure improvement: Improvements will enhance research opportunities, reproducibility, and rigor: (a) constructing new harmonized well-being, occupation, industry, geographic, health, and day and sleep quality measures; (b) building a user-facing Application Programming Interface (API) that allows researchers to have programmatic access to all IPUMS Time Use data and metadata; (c) enhancing online analysis capabilities by fully integrating user-created datasets and cloud-based analyses; and (d) developing a powerful interactive tool to illustrate possible linkages between ATUS and the Current Population Survey. (4) Expanding and supporting the research community: Through robust user support, outreach, and training, the project will reach new, underrepresented, and early career scholars across disciplines and train them to use time diary data.