Frailty and depression: A latent trait analysis

虚弱和抑郁：潜在特质分析

• 批准号: 8595892
• 负责人: Matthew Christopher Lohman
• 金额: $ 3.65万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2014-05-09
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8595892
• 关键词: Accounting; Affect; Age; Aging; Aging-Related Process; Area; Attention; Biological; Characteristics; Clinical; Cohort Studies; Conceptions; Confusion; Consensus; Data; Depressed mood; Deterioration; Development; Diagnosis; Diagnostic; Disease; Elderly; Equation; Ethnic Origin; Event; Foundations; Funding; Gender; Goals; Health; Hospitalization; Individual; Injury; Intervention; Joints; Knowledge; Lead; Literature; Measurement; Medical; Mental Depression; Mental Health; Mentorship; Methodology; Modeling; Morbidity - disease rate; Nursing Homes; Outcome; Participant; Phenotype; Physical Function; Physiological; Prevalence; Prevention strategy; Process; Psyche structure; Race; Research; Research Personnel; Research Support; Retirement; Risk Factors; Role; Sampling; Signal Transduction; Structural Models; Symptoms; Syndrome; System; Testing; Time; Training; Vulnerable Populations; Work; aged; base; comorbidity; deficit syndrome; disability; disorder prevention; falls; follow-up; frailty; high risk; human old age (65+); improved; mortality; physical conditioning; population based; prevent; prospective; public health relevance; trait

DESCRIPTION (provided by applicant): This project aims to understand the structural and temporal associations between frailty and depression, and to describe the combined role of these constructs within the aging process. Frailty is common in later life, affecting between 10.9 and 20.3% of older adults, and this syndrome increases vulnerability to a host of common poor health outcomes such as falls, hospitalization, disability, nursing home entry and mortality. Identifying frailty is thus important as it may serve as a vital indicator for timely intervention nd prevention of disease and disability. However, understanding and identification of this syndrome is hindered by lack of unified conceptual and operational definitions. Confusion in defining frailt is caused, in part, by lack of knowledge regarding how and why frailty is related to other common syndromes in later life, such as depression. This project seeks funding support for research on elucidating relationships between frailty and depression in order to develop a better conceptual understanding of frailty and to improve the clinical usefulness of its identification. The proposed research will use publically available data from the Health and Retirement Study (HRS), spanning 5 follow-up waves over a 10-year period (2000 to 2010). The HRS is a large, prospective, population-based sample of approximately 20,000 older adults with comprehensive measurements of physical functioning and mental health. The HRS data provides a unique opportunity to evaluate and compare competing models of comorbidity between frailty and depression. Data from HRS participants aged 65 years and older and without major disease or functional limitation will be compiled and analyzed. Using latent trait analysis and structural equation modeling, we will assess competing models for the association between depression and frailty. We expect to provide better understanding of the relationships between depression and frailty by building and testing competing structural models of their comorbidity. By evaluating competing models, we expect to identify factors which differentially influence the syndromes of frailty and depression and those which predict their comorbidity. This study will provide a rich understanding of how the conditions of frailty and depression are related, explore differences in the factors which predict these conditions, and determine whether frailty and depression are jointly related to prediction of key health outcomes. By clarifying the joint influence of depression and frailty in predicting poor health outcomes over time, we expect to inform the development of better, more accurate conceptual and operational definitions of frailty, which account for the intersection of physical and mental health. An improved understanding of these relationships will help guide research to development of more accurate and comprehensive definitions of frailty. Accounting for the interrelationships between frailty and depression, and refinement of the operational definition of frailty will facilitate improved identification of frail individuals and development of more effective prevention and intervention strategies.

描述（由申请人提供）：该项目旨在了解脆弱与抑郁症之间的结构和时间关联，并描述这些结构在老化过程中的综合作用。脆弱在后来的生活中很常见，影响了10.9％至20.3％的老年人，这种综合症会增加脆弱性，使其对许多常见的不良健康结果，例如跌倒，住院，残疾，疗养院进入和死亡率。因此，识别脆弱是很重要的，因为它可能是及时干预疾病和残疾的重要指标。但是，由于缺乏统一的概念和操作定义，阻碍了对该综合征的理解和识别。在某种程度上缺乏关于如何以及为什么脆弱与以后的生活（例如抑郁症）相关的知识以及为什么脆弱有关，这部分是由于缺乏知识以及为什么脆弱有关。该项目为阐明虚弱和抑郁症之间关系的研究寻求资金支持，以便对脆弱的概念理解更好，并提高其识别的临床实用性。拟议的研究将使用健康和退休研究（HRS）的公开数据，涵盖了10年期间的5个随访（2000年至2010年）。 HRS是大约20,000名老年人的大型，前瞻性的，基于人群的样本，具有全面的身体功能和心理健康。 HRS数据提供了一个独特的机会，可以评估和比较脆弱和抑郁症之间合并症的竞争模型。来自65岁以上的人力资源管理人员的数据将被编译和分析，没有主要疾病或功能限制。使用潜在性状分析和结构方程建模，我们将评估抑郁和脆弱之间关联的竞争模型。我们希望通过建立和测试其合并症的竞争结构模型来更好地了解抑郁和脆弱之间的关系。通过评估竞争模型，我们期望确定影响差异化脆弱和抑郁综合症的因素，以及预测其合并症的因素。这项研究将对脆弱和抑郁症的条件如何相关，探索预测这些状况的因素的差异，并确定脆弱和抑郁是否与关键健康结果的预测共同相关。通过阐明抑郁症和脆弱的联合影响在预测随着时间的流逝的不良健康结果方面，我们希望为脆弱的更好，更准确，更准确的概念和操作定义提供详尽的发展，这解释了身心健康的交汇处。对这些关系的改进理解将有助于指导研究以开发更准确，更全面的脆弱定义。考虑脆弱与抑郁之间的相互关系以及对脆弱的操作定义的完善，将有助于改善对脆弱者的识别，并发展更有效的预防和干预策略。