Investigating MUltimorbidity ThroUgh cApacity building (MUTUAL)

通过能力建设调查多发病（相互）

• 批准号: MC_PC_MR/T037423/1
• 负责人: Matthew Prina
• 金额: $ 25.45万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_MR%2FT037423%2F1
• 关键词: Investigating; MUltimorbidity; ThroUgh; cApacity; building

More than a third of adults around the world live with more than one chronic condition. This accumulation of diseases is otherwise known as multimorbidity. Existing studies of multimorbidity have identified that the number of people living with multimorbidity in communities is similar between High (HIC) and Low- and Middle-Income Countries (LMICs). However, very fewer studies have been carried out in LMICs. Not everyone who has multimorbidity share the same diseases, and several different possible patterns are thought to exist. These patterns are normally referred to as clusters, as they represent the clusters formed by different diseases. Most of the research on clusters has been carried out in HIC, with very few studies being conducted in LMICs. Some existing studies carried out in HIC have showed that when a person has both physical and mental disorders, their quality of life is lower, their risk of dying is increased, and their economic burden is higher, compared to a person who only has physical illnesses. This area of work has however been largely under-researched in LMICs, partly for the following reasons: a) analysing multimorbidity clusters is challenging and requires advanced training in data analysis; b) lack of suitable and up-to date data; c) neglect of LMICs mental health research more generally, and d) lack of interdisciplinary researchers trained with appropriate skills to address this complexity, especially in LMICs. With MUTUAL we will develop a platform for high-quality, LMIC-led research to investigate knowledge gaps in our understanding of multimorbidity associated with both mental and physical illnesses (MPM) in LMICs. This will be done by creating a capacity building programme taking place across three countries, in three continents, and with different levels of economic development: Brazil, Ethiopia and Malaysia. Training will be delivered by tutors and mentors in 3 areas of need: a) advanced statistical methods and epidemiology; b) health economics; and c) evidence synthesis. This will be further enhanced by training in transferable skills (e.g. research dissemination, public speaking, leadership, impact, data security). Training resources will be made available outside of the network so that other researchers interested in the training will be able to access it. Early career researchers across the three countries, with support of both UK and in-country tutors, will then work mutually to advance our understanding of multimorbidity using existing datasets of people living in the three countries, with detailed information of health status. This will be carried out using advanced statistical analysis. Health economics techniques will also be used to understand the economic impact associated with specific clusters, to assess which are the most burdensome. Our final objective is to create a network and platform for future training and for further research activities around the topic of multimorbidity. We hope that this project will have a direct impact on people's lives, both individuals living with multimorbidity, but also on early career researchers.

全世界超过三分之一的成年人患有一种以上的慢性病。这种疾病的积累也被称为多发病。现有的多项研究表明，高收入国家（HIC）和中低收入国家（LMIC）社区中患有多项疾病的人数相似。然而，在中低收入国家开展的研究很少。并不是每个患有多发性硬化症的人都有相同的疾病，人们认为存在几种不同的可能模式。这些模式通常被称为集群，因为它们代表不同疾病形成的集群。大多数关于集群的研究都是在高收入国家进行的，在低收入国家进行的研究很少。在HIC进行的一些现有研究表明，与只有身体疾病的人相比，当一个人同时患有身体和精神疾病时，他们的生活质量较低，死亡风险增加，经济负担更高。然而，这一领域的工作在很大程度上在中低收入国家研究不足，部分原因如下：a）分析多发病集群具有挑战性，需要数据分析方面的高级培训; B）缺乏适当的最新数据; c）忽视中低收入国家的心理健康研究，以及d）缺乏受过适当技能培训的跨学科研究人员来解决这一复杂性，特别是在中低收入国家。通过Mutual，我们将开发一个高质量的平台，LMIC主导的研究，以调查我们对LMIC中与精神和身体疾病（MPM）相关的多发病的理解中的知识差距。为此，将在三大洲不同经济发展水平的三个国家（巴西、埃塞俄比亚和马来西亚）建立一个能力建设方案。将由导师和辅导员在3个需要的领域提供培训：a）高级统计方法和流行病学; B）卫生经济学; c）证据综合。这将通过可转移技能（例如研究传播、公开演讲、领导力、影响力、数据安全）的培训得到进一步加强。培训资源将在网络之外提供，以便其他对培训感兴趣的研究人员能够访问它。三国的早期职业研究人员将在英国和国内导师的支持下，共同努力，利用三国现有的人口数据集，以及详细的健康状况信息，促进我们对多重死亡的理解。这将使用先进的统计分析进行。卫生经济学技术也将用于了解与特定集群相关的经济影响，以评估哪些是最繁重的。我们的最终目标是建立一个网络和平台，为未来的培训和进一步的研究活动，围绕主题的多重。我们希望这个项目将对人们的生活产生直接的影响，无论是生活在多重恐惧中的个人，还是早期的职业研究人员。

项目成果

Trajectories of healthy ageing among older adults with multimorbidity: A growth mixture model using harmonised data from eight ATHLOS cohorts.

• DOI: 10.1371/journal.pone.0248844
• 发表时间: 2021
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Nguyen H;Moreno-Agostino D;Chua KC;Vitoratou S;Prina AM
• 通讯作者: Prina AM

Prevalence of and factors associated with multimorbidity among 18 101 adults in the South East Asia Community Observatory Health and Demographic Surveillance System in Malaysia: a population-based, cross-sectional study of the MUTUAL consortium.

与马来西亚的东南亚社区观测和人口监测系统中1811名成年人的多种多发病相关的患病率和因素：一项基于人群的，基于人群的横断面研究。

• DOI: 10.1136/bmjopen-2022-068172
• 发表时间: 2022-12-23
• 期刊: BMJ open
• 影响因子: 2.9

Depressive symptoms during early adulthood and the development of physical multimorbidity in the UK: an observational cohort study.

• DOI: 10.1016/s2666-7568(21)00259-2
• 发表时间: 2021-12
• 期刊: The lancet. Healthy longevity
• 作者: Arias-de la Torre J;Ronaldson A;Prina M;Matcham F;Pinto Pereira SM;Hatch SL;Armstrong D;Pickles A;Hotopf M;Dregan A
• 通讯作者: Dregan A

Determinants of multimorbidity in low- and middle-income countries: A systematic review of longitudinal studies and discovery of evidence gaps

低收入和中等收入国家多发病的决定因素：纵向研究的系统回顾和证据差距的发现

• DOI: 10.1111/obr.13661
• 发表时间: 2023
• 期刊: Obesity Reviews
• 影响因子: 8.9
• 作者: Tan M