Core 3: Data Collection & Data Management Core

核心 3：数据收集

• 批准号: 10263897
• 负责人: Maria Mori Brooks
• 金额: $ 429.92万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10263897
• 关键词: Affect; Aging; Alzheimer' s Disease; Archives; Cardiac; Cardiac health; Cardiovascular Diseases; Characteristics; Clinical; Clinical Data; Cognition; Cognitive; Cognitive deficits; Collection; Data; Data Collection; Data Set; Dementia; Disease; Doctor of Philosophy; Educational workshop; Elderly; Enrollment; Ensure; Event; Follow-Up Studies; Genitourinary system; Goals; Health; Health behavior; Heart failure; Hormones; Human Resources; Impaired cognition; Impairment; Incentives; Incidence; Infrastructure; Laboratories; Language; Lead; Leadership; Life Experience; Link; Longevity; Longitudinal Studies; Longitudinal cohort study; Manuscripts; Measures; Menopause; Monitor; Musculoskeletal; Participant; Physical Function; Physiological; Play; Process; Protocols documentation; Public Health Schools; Quality Control; Quality of life; Reading; Research; Research Personnel; Resources; Risk Factors; Role; Services; Sex Functioning; Sexual Health; Site; Sleep; Sleep disturbances; Specimen; Structure; Study of Women' s Health Across the Nation; Symptoms; Technology; Testing; Training; Universities; Vagina; Vascular Dementia; Vasomotor; Visit; Visuospatial; Well in self; Woman; Women' s Health; Work; actigraphy; age related; bone; cardiometabolism; cardiovascular health; clinical research site; cognitive function; cognitive performance; cohort; critical period; data centers; data management; dementia risk; design; disability; epidemiologic data; experience; follow-up; human old age (65+); improved; instrumental activity of daily living; middle age; mild cognitive impairment; modifiable risk; multi-racial; participant retention; pre-clinical; preservation; psychosocial; racial and ethnic; retention rate; sedentary lifestyle; socioeconomics; success

SWAN-Aging is designed to determine the extent to which midlife health and characteristics of the menopause transition (MT) affect successful aging in women, including the rate of cognitive decline and the risk of dementia and disability. This application proposes to build upon the rich resources of the Study of Women’s Health Across the Nation (SWAN), a longitudinal cohort study initiated in 1994 to characterize the physiological and psychosocial changes that occur during the MT. In SWAN-Aging, we will extend follow-up of the SWAN cohort into early old age (66-75 years) and expand data collection to include additional domains of cognition to detect cognitive impairment (executive and visual-spatial function, language fluency) and the functional impact of cognitive deficits (cognitively demanding instrumental activities of daily living), cardiac health, and sedentary behavior. It is one of a few studies that can quantify the rate of decline in cognitive performance during midlife and early old age and determine the contribution of modifiable risk factors to the incidence of mild cognitive impairment. SWAN-Aging includes three integrated Projects: Project 1 will evaluate the impact of MT characteristics and midlife health indicators on preservation of cognitive function (avoiding cognitive decline and onset of mild cognitive impairment), sleep, genitourinary and sexual function, and quality of life in early old age; Project 2 will test how the MT relates to cardiac health and cardiovascular disease (CVD) events in women in early old age and test how cardiac health relates to early markers of physical impairment, Alzheimer’s disease, and vascular dementia at a critical period in the lifespan; and Project 3 will examine the role of MT and midlife characteristics on musculoskeletal health and physical functioning. The specific aims of Data Collection and Data Management Core (Core 3) are to: 1) Maintain excellent retention of study participants at all clinical sites; 2) Finalize the participant visit protocol and ensure the collection of high quality data from the clinical sites and reading centers; 3) Implement effective quality control measures and provide analytic datasets to study investigators; and 4) Archive and share the SWAN-Aging data. Core 3 will work with the clinical sites to employ effective strategies to maintain SWAN’s high participant retention rate and develop clear, detailed protocols, on-site personnel trainings and quality control measures to monitor the collection of data and specimens. Core 3 will build on the strengths of the existing SWAN data management structure and incorporate improved technology to improve the efficiency of quality control processes. Core 3 will construct datasets to facilitate a variety of analytic strategies to comprehensively assess the role of MT and midlife factors on cognitive decline, cardiac health and physical functioning and will archive de-identified datasets for public use. Core 3 will play a vital role in conducting the Projects by supporting retention and data collection and ensuring that study data will be high quality and used to identify modifiable factors linked to avoidance of mild cognitive impairment, preservation of functioning, and optimization of quality of life in early old age.

SWAN-Aging 旨在确定中年健康和更年期过渡 (MT) 特征对女性成功老龄化的影响程度，包括认知能力下降的速度以及痴呆和残疾的风险。该应用旨在以富人为基础。全国妇女健康研究 (SWAN) 的资源，这是一项于 1994 年启动的纵向队列研究，旨在描述 MT 期间发生的生理和心理变化。在 SWAN-Aging 中，我们将延长 SWAN 队列的随访范围。到早年（66-75岁）并扩大数据收集范围，包括其他认知领域，以检测认知障碍（执行和视觉空间功能、语言流畅性）以及认知缺陷的功能影响（日常生活中认知要求较高的工具性活动） ）、心脏健康和久坐行为是少数可以量化中年和老年早期认知能力下降速度并确定可改变的危险因素对轻度认知障碍发生率的研究之一。 SWAN-Aging 包括三个综合项目：项目 1 将评估 MT 特征和中年健康指标对认知功能保存（避免认知能力下降和轻度认知障碍发作）、睡眠、泌尿生殖和性功能以及生活质量的影响。项目 2 将测试 MT 与老年女性的心脏健康和心血管疾病 (CVD) 事件之间的关系，并测试心脏健康与身体损伤、阿尔茨海默病和血管性痴呆的早期标志物之间的关系。生命周期的关键时期；项目 3 将研究 MT 和中年特征对肌肉骨骼健康和身体机能的作用。 数据收集和数据管理核心（核心 3）的具体目标是： 1) 保持研究参与者的良好保留。在所有临床中心； 2) 完成参与者访问协议并确保从临床中心和阅读中心收集高质量的数据； 3) 实施有效的质量控制措施并向研究研究者提供分析数据集；共享 SWAN-Aging 数据，Core 3 将与临床中心合作，采用有效的策略来维持 SWAN 的高参与者保留率，并制定清晰、详细的方案、现场人员培训和质量控制措施来监控数据和样本的收集。 Core 3 将利用现有 SWAN 数据管理结构的优势，并结合改进的技术来提高质量控制流程的效率。 Core 3 将构建数据集以促进各种分析策略，以全面评估 MT 和中年因素的作用。核心 3 将通过支持保留和数据收集并确保研究数据的高质量并用于识别可修改的因素，在项目的实施中发挥至关重要的作用。与避免轻度认知障碍、保留功能和优化老年早期的生活质量有关。