Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in India

归档

• 批准号: 8370785
• 负责人: Jinkook Lee
• 金额: $ 9.49万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2013-07-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8370785
• 关键词: Adult; Age; Age-Years; Aging; Archives; Asia; Biometry; Blood specimen; Characteristics; Cognitive; Communities; Consumption; Country; Data; Data Set; Databases; Developed Countries; Developing Countries; Digital Libraries; Environment; Europe; Family Study; Family health status; Goals; Health; Health Surveys; Health behavior; Household; Housing; Income; India; Individual; Information Systems; International; Interview; Koreans; Lead; Libraries; Library Surveys; Longitudinal Studies; Longitudinal Surveys; Measures; Metadata; Pensions; Persons; Policies; Research; Research Personnel; Respondent; Retirement; Savings; Secure; Sister; Social Network; Specimen; Spouses; Surveys; System; Time; Variant; Work; demographics; design; family structure; health care service utilization; innovation; instrument; interest; multidisciplinary; performance tests; repository; socioeconomics; user-friendly; web site; wiki

DESCRIPTION (provided by applicant): The goals of this application are two-fold. First, we will archive data from the 2010 pilot survey of the Longitudinal Aging Study in India (LASI) and make them available through the RAND Survey Meta Data Repository (metadata.rand.org). Second, we will create a user friendly data set with derived variables that can facilitate secondary analysis (including cross-country analysis). LASI is designed to be a panel survey representing persons at least 45 years of age in India and their spouses regardless of age. The 2010 pilot survey was fielded in four states: Karnataka, Kerala, Punjab, and Rajasthan. These four states were chosen to capture regional variations as well as socioeconomic and cultural differences across India. LASI interviewed 1,683 individuals representative of these four states during October through December of 2010. The survey instrument has been designed to collect information that is conceptually comparable to the Health and Retirement Study (HRS) and its sister surveys in Asia, and includes variables on demographics; family structure and social network; health and health behaviors; health care utilization; work and pension; housing and environment; and income, assets, debts, and consumption. LASI also collected anthropometric and biometric measures, conducted physical and cognitive performance tests, and collects DBS specimens. The Survey Meta Data Repository is developed to facilitate cross-national analyses on aging, using the family of Health and Retirement Studies around the world. The project goals have been to complete a comprehensive digital library of survey questions and flow-charts; to provide an intelligent search engine that uses keywords, domains, and sub-domains; and to create a set of harmonized or identically defined variables. This repository also contains a library of contextual information and a Wiki system allowing researcher input. Currently, the system contains harmonized and easily searchable information on eleven health and retirement studies from 25 countries. Building on this innovative information system, our application seeks to archiving and creating a user friendly data from the 2010 LASI pilot survey for public use. Similar to RAND HRS, we will create a user friendly data by merging respondent-level data with spouse-level and household-level data. The resulting user friendly data with additional harmonized variables will create time savings for all researchers interested in using the LASI pilot data. PUBLIC HEALTH RELEVANCE: In this project, we will archive and disseminate for use data from the pilot wave of the Longitudinal Aging Study in India (LASI), a multi-disciplinary survey, representative of adults at age 45 and older from the states of Karnataka, Kerala, Punjab, and Rajasthan. We develop a user-friendly data set for this, making it available for download from a secure website maintained by the RAND Survey Meta Data Repository. The publicly available data will enable analyses of the relationships among retirement, aging, and health both within India and between India and other nations. As such, this work can inform policy within India, in other developing countries in Asia, and in wealthy industrialized countries.

描述（由申请人提供）：本申请的目标有两个。首先，我们将把2010年印度纵向老龄化研究（LASI）试点调查的数据存档，并通过兰德调查元数据存储库（metadata.rand.org）提供。其次，我们将创建一个用户友好的数据集，其中包含可以促进二次分析（包括跨国分析）的派生变量。LASI是一项小组调查，代表印度至少45岁的人及其配偶，无论年龄大小。2010年的试点调查在卡纳塔克邦、喀拉拉邦、旁遮普邦和拉贾斯坦邦四个邦展开。选择这四个邦是为了反映印度各地的地区差异以及社会经济和文化差异。LASI在2010年10月至12月期间采访了1,683名代表这四个州的个人。该调查工具旨在收集在概念上可与健康与退休研究（HRS）及其亚洲姊妹调查相媲美的信息，并包括人口统计变量；家庭结构与社会网络；健康和健康行为；保健利用；工作和养老金；住房和环境；收入，资产，债务和消费。LASI还收集了人体测量和生物测量数据，进行了身体和认知能力测试，并收集了DBS标本。开发调查元数据存储库是为了利用世界各地的健康和退休研究家庭促进对老龄化问题的跨国分析。该项目的目标是完成调查问题和流程图的综合数字图书馆；提供一种使用关键字、域和子域的智能搜索引擎；并创建一组协调或相同定义的变量。该存储库还包含一个上下文信息库和一个允许研究人员输入的Wiki系统。目前，该系统包含来自25个国家的11项健康和退休研究的统一和易于搜索的信息。建立在这个创新的信息系统，我们的应用程序寻求归档和创建一个用户友好的数据，从2010 LASI试点调查供公众使用。与RAND HRS类似，我们将通过将受访者级别的数据与配偶级别和家庭级别的数据合并来创建用户友好的数据。由此产生的具有额外协调变量的用户友好数据将为所有对使用LASI试点数据感兴趣的研究人员节省时间。

项目成果

Corrigendum to: Longitudinal Changes in Depressive Symptoms and Risks of Cardiovascular Disease and All-Cause Mortality: A Nationwide Population-Based Cohort Study.

勘误：抑郁症状的纵向变化以及心血管疾病和全因死亡率的风险：一项全国范围的人群队列研究。

• DOI: 10.1093/gerona/glaa220
• 发表时间: 2020
• 期刊: The journals of gerontology. Series A, Biological sciences and medical sciences
• 作者: Li,Haibin;Qian,Frank;Hou,Chenbei;Li,Xia;Gao,Qi;Luo,Yanxia;Tao,Lixin;Yang,Xinghua;Wang,Wei;Zheng,Deqiang;Guo,Xiuhua
• 通讯作者: Guo,Xiuhua