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

• 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
• 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

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，共同199大流行导致发病率上升 心理健康问题，无论精神诊断的先前史。一个重要的驱动力 现象似乎是政府政策反应引起的社会孤立和孤独 社会疏远的建议，全职订单以及对旅行的限制。但是，到目前为止的结果 各地的人群和地理区域都混合在一起，以及这些区域的社会和个人因素 差异仍然很少理解。此外，现有的努力主要集中在高收入国家 （HIC），这可能不会推广到研究的低收入和中等收入国家（LMIC），大多数地区 受到大流行和85％的世界人口所在的影响。减轻未来的关键机会 心理健康的影响和增加边缘化群体在Covid-19的心理健康研究中的代表性增加 是要利用现有队列统一的个人级纵向数据，以开发出良好的，有力的， 大流行有关的心理健康结果的全球大型评估。 我们的提案资本利用现有的大型国际队列，建立了共同的全球心理健康 财团（CGMHC）增加了我们对可修改的社会和个人风险因素预测的理解 响应大流行的心理健康状况不佳，并建立基础设施以回答有关 COVID-19相关的精神病结果的本地和全球决定因素，最终告知公共政策， 干预和预防策略。为此，我们将整合：（1）来自23国际的数据 包括近2.8的心理健康，社会人口统计学和社会决定因素（SDOH）组成的人群 有大流行后评估的百万个人； （2）一个新型的目标试验模拟框架 促进因果推断特定的大流行政策策略对心理健康结果的影响； （3）时间序列建模和新颖的风险预测方法的最新进展，以了解 心理健康成果的异质性响应各种国家的社会限制。 我们的具体目的是：（1）整合全球队列的纵向数据，协调数据的数据 下游分析并为科学界开发数据可视化平台； （2）表征 大流行心理健康轨迹以及其主持人，并评估了因果影响的证据 关于精神病结果的社会遏制政策。 （3）建立并正式化CGMHC持续 研究Covid-19-19大流行对全球心理健康和SDOH的影响的研究。成功完成 这些目标将提供独特的大规模全球队列资源，以调查与Covid相关的研究 心理健康成果，为干预和政策策略提供信息，以减轻未来的不利影响，并创造 正在进行的引擎（CGMHC）进行协作研究，可以通过未来的资金来维持。