International evaluation of modifiable social determinants of health on COVID-related mental health outcomes

可改变的健康社会决定因素对新冠病毒相关心理健康结果的国际评估

基本信息

批准号：
10757202
负责人：
Sarah Diana Bauermeister
金额：
$ 315.51万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-08-02 至 2026-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10757202
关键词：
Address Anxiety Attention COVID-19 COVID-19 pandemic COVID-19 pandemic effects Cohort Analysis Communities Containment Country Data Data Set Dementia Directories Evaluation Funding Future Geographic Locations Health Heterogeneity Impaired cognition Incidence Income Individual Infrastructure International Interruption Intervention Investigation Joints Knowledge Loneliness Measures Mental Depression Mental Health Mental disorders Methods Modeling National Institute of Mental Health Ontology Outcome Participant Policies Population Predictive Factor Prevention strategy Psychiatric Diagnosis Psychological Factors Public Health Public Policy Recommendation Recording of previous events Research Research Personnel Research Project Grants Resources Risk Risk Factors Role Series Social Distance Social isolation Time Time trend Travel Unemployment Variant Visualization software cohort coronavirus disease data harmonization data resource data standards data visualization experience global health health care availability health data health disparity low and middle-income countries marginalized population mortality novel pandemic disease pandemic impact post-pandemic pre-pandemic psychiatric symptom randomized trial resilience resilience factor response risk prediction social social factors social health determinants social influence sociodemographics stay-at-home order substance use suicidal tool trend working group

项目摘要

Abstract A substantial body of research suggests that the COVID-19 pandemic has contributed to a rising incidence of mental health issues, irrespective of prior history of psychiatric diagnosis. One important driver of this phenomenon appears to be social isolation and loneliness induced by governmental policy responses such as social distancing recommendations, stay-at-home orders, and restrictions on travel. However, results thus far have been mixed across cohorts and geographic regions, and the social and individual factors underlying these differences remain poorly understood. Moreover, existing efforts have largely focused on high-income countries (HIC), which may not generalize to understudied low- and middle-income countries (LMIC), regions most impacted by the pandemic and where 85% of the world population lives. A key opportunity for mitigating future mental health impacts and increasing representation of marginalized groups in COVID-19 mental health research is to leverage individual-level longitudinal data harmonized across existing cohorts to develop a well-powered, large, global evaluation of pandemic-related mental health outcomes. Our proposal capitalizes on existing large international cohorts, establishing a COVID Global Mental Health Consortium (CGMHC) to increase our understanding of the modifiable social and individual risk factors predicting poor mental health in response to the pandemic, and to build an infrastructure to answer broader questions about the local and global determinants of COVID-19 related psychiatric outcomes, ultimately informing public policy, intervention, and prevention strategies. To accomplish this, we will integrate: (1) data from 23 international cohorts comprising mental health, sociodemographic, and social determinants of health (SDoH) from nearly 2.8 million individuals with pre- and post-pandemic assessments; (2) a novel target trial emulation framework to facilitate causal inference about the impact of specific pandemic policy strategies on mental health outcomes; and (3) recent advances in time-series modeling and novel risk prediction methods to understand the heterogeneity of mental health outcomes in response to social restrictions across a diverse range of countries. Our specific aims are to: (1) assemble longitudinal data across global cohorts, harmonizing data for downstream analyses and develop a data visualization platform for the scientific community; (2) characterize pandemic mental health trajectories along with their moderators and evaluate the evidence for a causal impact of social containment policies on psychiatric outcomes. (3) establish and formalize the CGMHC for continued research on the impact of the COVID-19 pandemic on global mental health and SDoH. Successful completion of these aims would provide a unique large-scale global cohort resource for the investigation of COVID-related mental health outcomes, inform intervention and policy strategies to mitigate future adverse impacts, and create an ongoing engine (the CGMHC) for collaborative research that can be sustained through future funding.

抽象的大量研究表明，COVID-19 大流行导致发病率上升心理健康问题，无论之前是否有精神病诊断史。这其中的一个重要推动因素现象似乎是由政府政策反应引起的社会孤立和孤独，例如社交距离建议、居家令和旅行限制。然而，迄今为止的结果不同群体和地理区域的情况是混杂的，这些背后的社会和个人因素差异仍然知之甚少。此外，现有的努力主要集中在高收入国家（HIC），这可能无法推广到研究不足的低收入和中等收入国家（LMIC）、最受大流行影响的地区，居住着世界 85% 的人口。缓解未来影响的关键机会 COVID-19 心理健康研究中的心理健康影响和边缘群体代表性的增加是利用现有群体中协调的个人层面的纵向数据来开发一个强有力的、对与大流行相关的心理健康结果进行大规模的全球评估。我们的提案利用了现有的大型国际队列，建立了新冠病毒全球心理健康联盟 (CGMHC) 旨在增进我们对可改变的社会和个人风险因素预测的理解应对大流行病的心理健康状况不佳，并建立基础设施来回答更广泛的问题 COVID-19 相关精神疾病结果的本地和全球决定因素，最终为公共政策提供信息，干预和预防策略。为了实现这一目标，我们将整合：(1) 来自 23 个国际组织的数据包括心理健康、社会人口统计学和健康的社会决定因素 (SDoH) 的队列近 2.8 百万人接受了大流行前和大流行后的评估； (2) 一种新颖的目标试验仿真框架促进特定流行病政策策略对心理健康结果影响的因果推断； (3) 时间序列建模和新型风险预测方法的最新进展，以了解不同国家因社会限制而产生的心理健康结果存在异质性。我们的具体目标是：（1）收集全球队列的纵向数据，协调数据为科学界进行下游分析并开发数据可视化平台； (2) 表征大流行的心理健康轨迹及其调节因素，并评估因果影响的证据对精神病结果的社会遏制政策。 (3) 建立并规范 CGMHC，以持续关于 COVID-19 大流行对全球心理健康和 SDoH 影响的研究。顺利完成这些目标将为调查与新冠病毒相关的疾病提供独特的大规模全球队列资源心理健康结果，为干预和政策战略提供信息，以减轻未来的不利影响，并创造一个持续的合作研究引擎（CGMHC），可以通过未来的资助来维持。