Individual differences in dementia spousal caregiver burden: A biobehavioral approach revision

痴呆症配偶照顾者负担的个体差异：生物行为方法修订

• 批准号: 10201213
• 负责人: Christopher Paul Fagundes
• 金额: $ 49.32万
• 依托单位: RICE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10201213
• 关键词: 2019-nCoV; 5 year old; Address; Adherence; Affect; Affective; Age; Alzheimer' s Disease; Behavior; Behavioral; COVID-19; Caregiver Burden; Caregivers; Caring; Cellular Phone; Cessation of life; Characteristics; Crowding; Data; Dementia; Disease; Disease Outbreaks; Ecological momentary assessment; Elderly; Emotions; Environment; Exclusion Criteria; Foundations; Guidelines; Health behavior; Heart Rate; Home environment; Homeostasis; Impairment; Individual Differences; Infrastructure; Intervention; Investigation; Learning; Light; Location; Loneliness; Machine Learning; Methods; Modeling; Outcome; Parents; Pattern; Personal Satisfaction; Physiological; Play; Prevention; Process; Quality of life; Questionnaires; Recommendation; Recording of previous events; Regulation; Research; Risk; Role; Science; Scientist; Self Efficacy; Series; Sleep; Social Distance; Social Environment; Spouse Caregiver; Spouses; Technology; Testing; Time; Virus; Work; actigraphy; base; biobehavior; caregiving; comorbidity; contagion; contextual factors; design; foot; heart rate variability; high reward; high risk; improved; inclusion criteria; interest; mortality; pandemic disease; parent grant; recruit; resilience; respiratory; risk prediction model; smart watch; social; theories

Abstract The outbreak of SARS-Cov-2 virus has exasperated the vulnerability of dementia spousal caregivers, as well as those with Alzheimer’s disease or related dementias. SARS-Cov-2 is a highly contagious virus that can cause severe respiratory problems and even death. Older adults and people of all ages with underlying comorbidities are considered to be at “high-risk” for severe illness from COVID-19. During this pandemic, dementia spousal caregivers are tasked with the burden of keeping their spouse safe from getting sick and even dying from COVID- 19, while simultaneously performing their typical caregiving responsibilities. The vast majority of dementia spousal caregivers and their spouses with dementia are over sixty-five years of age, the age bracket that puts people at most risk for COVID-19 disease complications and mortality. Social distancing guidelines make up a large proportion of the current prevention recommendations; thus, loneliness and other negative emotions will likely be frequent and more intense than usual. The proposed competitive revision builds upon the primary aims of the parent grant (R01AG062690) by using attachment theory as an overarching theoretical framework to understand dementia spousal caregiver risk and resilience in light of coronavirus disease 2019 (COVID-19 disease). The proposed research directly addresses several objectives from the PA-18-935, NOT-AG-20-022. Capitalizing on the dementia spousal caregivers who will take part in the parent study, we propose to collect additional data for one week each month for three months. We will collect this data using ecological momentary assessment methods, while passively assessing location, activity, autonomic activity, and sleep via smartphone and smartwatch technology. We aim to understand how emotions, assessed in real-time in the natural environment, affect the extent to which AD spousal caregivers adaptively navigate the challenges associated COVID-19. We will also aim to determine how relatively stable individual difference patterns that originate from people’s close relationship histories (i.e., attachment orientations) inform risk and resilience. As an exploratory high risk/high reward aim, we will evaluate if dynamic risk prediction models and machine learning approaches can incorporate passively collected information (i.e., location, heart rate, heart rate variability, activity, sleep) with information that we learn from our primary aims, to yield a detailed and sophisticated understanding of real-world dynamics that predict three critical COVID-19 specific outcomes: social distancing adherence, social distancing self-efficacy, and caregiver self-efficacy. By understanding patterns of risk and resilience, intervention scientists will be better able to identify at-risk AD spousal caregivers. The proposed research would advance our understanding of how AD spousal caregivers can reduce illness exposure for themselves and those they care for in perhaps the most comprehensive, detailed, real-time, real-world investigation of social distancing in AD spousal caregivers to date.

抽象的 SARS-Cov-2 病毒的爆发加剧了痴呆症配偶照顾者以及 患有阿尔茨海默病或相关痴呆症的人 SARS-Cov-2 是一种高度传染性的病毒，可导致 严重的呼吸系统疾病，甚至死亡。 在这次大流行期间，配偶患痴呆症被认为是罹患 COVID-19 严重疾病的“高风险”。 照顾者的任务是保护其配偶免受新冠病毒感染甚至死亡。 19、同时履行其典型的护理职责 绝大多数痴呆症患者。 配偶照顾者及其患有痴呆症的配偶年龄超过 65 岁，这个年龄段 面临 COVID-19 疾病并发症和死亡风险最高的人群制定了社交距离指南。 目前的预防建议中很大一部分会导致孤独感和其他负面情绪； 拟议的竞争性修订可能会比平时更频繁、更激烈。 母基金（R01AG062690）通过使用依恋理论作为总体理论框架来 鉴于 2019 年冠状病毒病 (COVID-19)，了解配偶照顾者患痴呆症的风险和复原力 拟议的研究直接解决 PA-18-935、NOT-AG-20-022 中的几个目标。 利用参与家长研究的痴呆症配偶照顾者，我们建议收集 我们将使用生态瞬时数据收集三个月内每月一周的额外数据。 评估方法，同时通过智能手机被动评估位置、活动、自主活动和睡眠 我们的目标是了解如何在自然状态下实时评估情绪。 环境，影响 AD 配偶照顾者适应性应对相关挑战的程度 我们还将致力于确定相对稳定的个体差异模式是如何起源的。 人们的亲密关系历史（即依恋取向）揭示了风险和复原力。 高风险/高回报目标，我们将评估动态风险预测模型和机器学习方法 可以将被动收集的信息（即位置、心率、心率变异性、活动、睡眠）与 我们从主要目标中学到的信息，以产生对现实世界的详细而复杂的理解 预测三个关键的 COVID-19 特定结果的动态：遵守社交距离、社交距离 通过了解风险和复原力的模式，干预科学家可以提高自我效能感和护理人员的自我效能感。 将能够更好地识别有风险的 AD 配偶照顾者。拟议的研究将推进我们的研究。 了解 AD 配偶照顾者如何减少自己和他们所照顾的人患病的机会 这可能是对 AD 中社交距离最全面、详细、实时、真实的调查 迄今为止的配偶照顾者。