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Testing early markers of cognitive decline and dementia derived from survey response behaviors

测试源自调查反应行为的认知能力下降和痴呆的早期标志

基本信息

批准号：
10649504
负责人：
Stefan Schneider
金额：
$ 81.44万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-15 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10649504
关键词：
Age Agreement Behavior Categories Clinical Cognitive Cognitive deficits Complex Computers Data Data Aggregation Data Analytics Dementia Detection Development Disease Disease Progression Early Diagnosis Early Intervention Impaired cognition Individual Internet Measurement Measures Methods Modeling Neurodegenerative Disorders Neuropsychology Onset of illness Participant Patient Self-Report Pattern Performance Personal Satisfaction Persons Phase Population Process Public Health Questionnaires Reaction Time Reproducibility Research Respondent Sampling Series Signal Transduction Speed Step Tests Surveys Taxes Testing behavioral response cognitive testing cost effective design falls frailty functional decline human old age (65+)indexing individual response instrumental activity of daily living mild cognitive impairment multiple datasets pre-clinical prognostic response therapy development tool

项目摘要

7. Project Summary/Abstract Discovering preclinical markers of cognitive and functional decline in mild cognitive impairment and dementia is fundamental for treatment development and to delay disease onset and progression. Subtle functional deficits on cognitively demanding activities often foreshadow dementia onset, but these early deficits are difficult to assess objectively with conventional methods. The proposed studies aspire to develop and validate performance-based indices for measuring functional deficits at older ages that are cost-effective, unobtrusive, and that could serve as early markers of subsequent cognitive decline and dementia. Specifically, we propose to develop indices of functional deficits that can be derived from participant response behaviors in existing population representative surveys. Completing a survey is a complex and cognitively demanding task that taxes a respondent's neuropsychological capacity. By focusing on how individuals complete surveys, we aim to derive a series of indices of functional deficits using two approaches: (1) The first approach consists of indices that are directly computed from participants' response patterns in questionnaires to capture invalid, incoherent, or erroneous responding on rating scales (examples include agreeing or disagreeing with statements regardless of content, skipping questions, or giving contradictory responses). (2) The second approach considers indices derived from individuals' computer use behavior in online surveys to measure the efficiency, speed, and consistency of behaviors during the completion of online surveys (examples include the proportion of corrected/changed answers, average response time, and response time variability). To evaluate the validity and clinical utility of the indices, we will systematically examine their associations with conceptually related constructs (concurrent cognitive test scores, instrumental activities of daily living, financial wellbeing, frailty), their sensitivity to change with age, their ability to predict subsequent cognitive decline, and their ability to predict the subsequent onset of mild cognitive impairment and dementia. Self-report surveys administered regularly in 16 existing longitudinal panel studies (>50,000 participants) will provide a rich basis for developing and testing indices derived from response patterns in questionnaires. An ongoing population representative Internet panel will provide the opportunity to test computer use behavior indices that are unobtrusively recorded “in the background” of online surveys. Marshalling multiple datasets and aggregating results across diverse samples and survey measures using identical data-analytic models will greatly enhance generalizability and test the breadth of applicability of each index. Examining the predictive accuracy of the indices alone and in concert will allow us to identify those indices that contribute substantial prognostic information and those that provide irrelevant or redundant information. This research has potential to broaden the repertoire of available tools that could signal cognitive and functional decline in older ages and allow for advanced study of dementia.

7.项目摘要/摘要在轻度认知障碍和痴呆中发现认知和功能下降的临床前标志物对于治疗的发展和延缓疾病的发生和发展是至关重要的。微妙的功能认知要求活动的缺陷往往预示着痴呆症的发生，但这些早期缺陷是用常规方法难以客观评估。拟议的研究立志于开发和验证以绩效为基础的指数，用于测量老年人的功能缺陷，具有成本效益、不引人注目、这可能是随后认知能力下降和痴呆症的早期标志。具体来说，我们建议开发可从现有的参与者响应行为中得出的功能缺陷指数人口代表性调查。完成一项调查是一项复杂的、对认知要求很高的任务被调查者的神经心理能力。通过关注个人如何完成调查，我们的目标是推导出使用两种方法的一系列功能缺陷指数：(1)第一种方法由下列指数组成直接根据调查问卷中参与者的回答模式计算，以捕获无效、不连贯或对评级标准的错误响应(示例包括同意或不同意声明内容、跳过问题或给出相互矛盾的回答)。(2)第二种方法考虑指数源自个人在在线调查中使用计算机的行为，以衡量效率、速度和在完成在线调查期间的行为一致性(例如更正/更改的答案、平均响应时间和响应时间变异性)。以评估效度和这些指标的临床实用性，我们将系统地考察它们与概念上的关联结构(并发认知测试分数、日常生活工具活动、经济状况、虚弱)、他们对年龄变化的敏感度，他们预测随后认知衰退的能力，以及他们的能力预测随后发生的轻度认知障碍和痴呆。管理的自我报告调查定期在16个现有的纵向小组研究(50,000名参与者)将提供丰富的基础开发和测试根据问卷中的回答模式得出的指数。持续不断的人口具有代表性的互联网小组将提供测试计算机使用行为指数的机会不引人注意地记录在线调查的“背景”。编组多个数据集和聚合使用相同数据分析模型的不同样本和调查方法的结果将大大提高并对各指标的适用广度进行泛化检验。检查预测的准确性指数本身和协调一致将使我们能够确定那些对预测做出重大贡献的指数信息以及那些提供无关或冗余信息的信息。这项研究有可能扩大一系列可用的工具，可以发出老年人认知和功能衰退的信号，并允许痴呆症的高级研究。