Enhancing Retrospective Life History Data in the Health and Retirement Study

 描述（由申请人提供）：健康和退休研究网络中的几项人口研究收集了回顾性的生活史，以满足对整个生命过程中有关伴侣，生育，财务，就业，健康和居住地点的信息的多学科需求。这些关于儿童、青少年、青年和中年早期事件和背景的数据为社会、历史、亚组和特殊因素提供了新的见解，这些因素有助于晚年的结果。英国老龄化纵向研究（艾尔莎）和欧洲健康与老龄化调查（SHARE）从2007年到2009年进行了50分钟的计算机辅助现场事件历史访谈。由于长度，成本和两年一次的协议的限制，这个生活史访谈模块尚未被纳入美国健康和退休研究（HRS）。我们采用四步方法来开始解决HRS中对此类数据的需求。首先，我们将对HRS生活史数据的现状进行深入审查，并确定这些数据与艾尔莎和SHARE生活史的协调程度。HRS两年一次的访谈中已经收集了关于就业、婚姻/伴侣关系、生育、健康史和一生创伤的大量信息。然而，这些数据是分几次收集的，用户很难汇总和协调。我们预计，我们的深入审查过程将确定现有HRS工作、居住、教育和健康史记录中的差距，以及与艾尔莎和SHARE数据相比问题和代码中的不一致之处。其次，在这次审查和与姐妹研究协商后，我们将设计和测试一个自我管理的纸质生活史邮件调查（LHMS），以填补空白，并补充HRS生活史。第三，我们计划在2017年将LHMS应用于HRS。2017年，HRS将接受两次邮件调查：40%的调查对象将接受消费和活动邮件调查（CAMS），其余60%的调查对象将接受另一个主题的邮件调查。我们寻求资金，以收集和处理额外的邮件调查（LHMS）从40%的HRS小组（即，CAMS子样本）。HRS将收集并处理剩余60%样本组的LHMS。最后，我们将整合和传播几个用户友好的HRS生活史公共和限制数据产品。我们还将制作技术报告、文档和用户指南以在HRS网站上传播。一个公共文件将整合来自各种两年一次的浪潮的汇总信息：第二个将发布2017年LHMS数据。对于HRS用户来说，关于HRS参与者在童年和50岁之间生活的初步丰富信息的潜在好处将是主要的。这些资源的可用性将扩大HRS、艾尔莎、SHARE和相关研究的协调数据范围，并促进与晚年健康和福祉相关的生命历程因素的多学科跨国比较。我们的工作将作为 为HRS生活史与行政数据的未来联系奠定了基础。

 DESCRIPTION (provided by applicant): Several population studies within the network of Health and Retirement studies have collected retrospective life histories to address multidisciplinary needs for information about partners, fertility, finances, employment, health, and residential location over the entire life course. These data about events and contexts in childhood, adolescence, young adulthood and early midlife provide new insights into societal, historical, subgroup, and idiosyncratic factors that contribute to late-life outcomes. The English Longitudinal Study of Ageing (ELSA) and Survey of Health and Ageing in Europe (SHARE) fielded harmonized 50-minute computer-assisted in-person event history interviews from 2007 to 2009. Because of the length, cost, and the constraints of its biennial protocol, this life histoy interview module has not yet been included in the U.S. Health and Retirement Study (HRS). We adopt a four-step approach to begin to address the need for such data in HRS. First, we will undertake an in-depth review of the current status of HRS life history data and determine the extent that these data could be harmonized with the ELSA and SHARE life histories. Much information about employment, marital/partnership, fertility, and health histories and lifetime traumas has already been collected in HRS biennial interviews. These data, however, were collected in different waves and are difficult for users to aggregate and reconcile. We anticipate that our in-depth review process will identify gaps in existing HRS records of work, residential, education, and health histories and inconsistencies in questions and codes compared to the ELSA and SHARE data. Second, following this review and in consultation with sister studies, we will design and test a self-administered paper Life History Mail Survey (LHMS) to fill the gaps and supplement HRS life histories. Third, we plan to field the LHMS in HRS in 2017. HRS is currently funded to collect two mail surveys in 2017: 40% of the panel will be assigned to the Consumption and Activities Mail Survey (CAMS) and the remaining 60% will receive a mail survey on a different topic. We seek funds to collect and process an additional mail survey (the LHMS) from 40% of the HRS panel (i.e., the CAMS subsample). HRS will collect and process the LHMS from the remaining 60% of the panel. Finally, we will consolidate and disseminate several user-friendly HRS life history public and restricted data products. We will also produce technical reports, documentation, and user guides to disseminate on the HRS website. One public file will consolidate aggregated information from various biennial waves: A second will release the 2017 LHMS data. The potential benefit to HRS-users of this initial enriched stock of information about the lives of HRS participants between childhood and age 50 will be major. The availability of these resources will expand the scope of harmonized data across HRS, ELSA, SHARE, and related studies and foster multidisciplinary cross- national comparisons of life course factors associated with health and well-being in later life. Our work will serve as the foundation for future linkages of HRS life histories with administrative data.