Archiving Additional Waves of the Swedish Adoption/Twin Study of Aging (SATSA)

描述(由申请人提供)：本申请中描述的工作的目的是将NIH补助金编号收集的瑞典收养/双胞胎老龄研究(SATSA)数据存档。R01AG10175与大学间政治和社会研究联盟(ICPSR)合作，并与密歇根大学国家老龄化计算机化数据档案馆(NACDA)合作。数据存档的目的是使其他研究人员能够单独使用这一资源，并在具有类似信息的不同研究中进行多项研究。如在洛杉矶(2011年5月)和贝塞斯达(2011年11月)举办的国家臭氧机构协调讲习班所强调的那样，增加这些数据的可获得性可能有助于开展更多的协调活动。此处所述的归档活动需要将复杂的问卷和面对面测试数据转换为便于数据使用的具有用户友好格式的受控访问公共用途文件。SATSA包括通过自我报告问卷(Q)和面对面测试(IPT)对认知功能、身体健康和幸福感进行多个纵向评估。此前，前4次问卷调查和前3次面对面测试已在ICPSR存档。这里提议的数据存档增加了2个Q波和2个IPT波，并将提供来自2174名参与者的数据和最多6波问卷数据，以及来自859名50岁及以上个人的子集，以及最多5次面对面评估。尽管3波评估足以支持建模随年龄的线性变化，但5波评估为建模更复杂的随年龄变化的轨迹提供了足够的数据：加速衰退和多个变化点。多个域中的评估允许测试跨域关系。重要的是，再向数据档案中添加2波IPT和Q数据会增加至少参与3次的样本的比例 一波一波的测量。本申请中描述的活动包括格式化数据集和创建符合ICPSR标准的文档。直接识别符已经删除；在准备数据文件存档的过程中，我们将进一步去识别数据，以保护参与者的机密性。因此，完整的SATSA数据档案有可能解决许多关于老龄化的心理和社会过程以及老龄化的行为遗传学的二级分析问题。 公共卫生相关性：美国国立卫生研究院鼓励数据存档，作为一种向研究界尽可能广泛和免费提供数据的方式，同时保护参与者的机密性。那些参与最初研究的人的动机是为了解老年人的衰老过程和认知下降的来源做出贡献。存档服务于这些参与者的愿望和公共卫生利益，允许最充分地利用所收集的信息。那些使用数据档案的人可以解决的研究问题具有强烈的公共利益，即发现潜在的可改变的生活方式因素和健康行为，以提高在老年时保持跨域功能的可能性。

DESCRIPTION (provided by applicant): The purpose of the work described in this application is to archive the Swedish Adoption/Twin Study of Aging (SATSA) data collected by NIH Grant No. R01AG10175 with the Inter-University Consortium for Political and Social Research (ICPSR) and in collaboration with the National Archive of Computerized Data on Aging (NACDA) at the University of Michigan. Data archiving serves the purpose of enabling other investigators to make use of this resource, both by itself and in multi-study efforts across different studies with similar information. Increasing the availability of these data may facilitat additional harmonization activities, as highlighted in NIA harmonization workshops in Los Angeles (May 2011) and Bethesda (November 2011). The archiving activities described here entail converting the complex questionnaire and in-person testing data into controlled access public use files with user-friendly formats that facilitate data use. SATSA includes multiple longitudinal waves of assessment of cognitive functioning, physical health, and well-being, via both self-report questionnaire (Q) and in-person testing (IPT). Previously, the first 4 questionnaire waves and the first 3 waves of in-person testing have been archived at the ICPSR. The data archiving proposed here adds 2 more Q waves and 2 more IPT waves, and would make available data from 2174 participants with up to 6 waves of questionnaire data and from a subset of 859 individuals aged 50 and older with up to 5 in-person assessments. Whereas 3 waves of assessment are adequate to support modeling linear changes with age, 5 waves of assessment provide sufficient data for modeling more complex trajectories of change with age: accelerating decline and multiple change points. Assessment in multiple domains allows for testing cross-domain relationships. Importantly, adding 2 more waves of IPT and Q data to the data archive increases the proportion of the sample that has participated in at least 3 waves of measurement. The activities described in this application include formatting datasets and creating documentation consistent with ICPSR standards. Direct identifiers are already removed; in the course of preparing data files for archiving, we will further de-identify the data o protect the confidentiality of participants. The completed SATSA data archive thus has a potential to address many secondary analysis questions concerning psychological and social processes in aging and the behavior genetics of aging. PUBLIC HEALTH RELEVANCE: Data archiving is encouraged by NIH as a way to make data as widely and freely available as possible to the research community while safeguarding the confidentiality of participants. Those participating in the original study were motivated to contribute to knowledge about the aging process and sources of cognitive decline in older adults. Archiving serves the aspirations of those participants and the interests of public health by permitting the fullest possible use of the information that was collected. The research questions that can be addressed by those using the data archive are of intense public interest, namely, discovering potentially modifiable lifestyle factors and health behaviors that improve the probability for maintaining functioning across domains in old age.