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Socio-demographics factors relating to obesity and the development and progression of arthritis in the UK

英国与肥胖和关节炎发生和进展相关的社会人口因素

基本信息

批准号：
2302807
负责人：
金额：
--
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2302807
关键词：
Socio demographics factors relating obesity

项目摘要

Obesity, defined as abnormal or excessive fat accumulation, is increasing globally. UK rates of adult obesity have increased by 15% since the mid-1990s and are amongst the worst in western Europe: almost one-third of the adult population now suffers from obesity. Obesity is a complex and multifactorial disease; substantial research has shown that sociodemographic factors, such as a low income, are associated with higher prevalence of obesity. Arthritis, including osteoarthritis (OA) and rheumatoid arthritis (RA), is estimated to effect up to 10 million people in the UK and is a leading cause of work disability with an estimated cost of £7 billion per year. Similarly to obesity, OA has been linked to several socio-demographic factors, including the type and level of education, income and occupation. On top of that, people with obesity have higher rates of OA and poor disease outcomes, such as joint replacement surgery.In contrast, studies in RA show a weaker association between socio-demographic factors and disease occurrence. However, this is not the case for smoking; research has shown that people who smoke cigarettes have higher rates of RA, but lower rates of obesity. This demonstrates that obesity may be an important mediator in the relationship between certain social determinants and the occurrence and progression of disease. The association between obesity and RA is less clear; some studies have reported obesity as a risk factor for RA, but the prognosis and severity of RA appears to be better in obese compared to non-obese patients. The aim of this project is to understand the relationship between social determinants, obesity and arthritis using different cohorts encompassing individuals from a wide range of society, individuals in older age groups and individuals with early inflammatory arthritis. This will be achieved through the following objectives:- to identify the association between different definitions of obesity and incident arthritis in the English Longitudinal Study of Ageing (ELSA) and Understanding Society (US)- to define subtypes of arthritis (i.e. osteoarthritis / inflammatory arthritis) in ELSA and US based on questionnaires, available biomarkers and medications- to investigate the mediating role of socio-demographic factors on the causal pathway between obesity and subtypes of arthritis defined in objective 2 in US and ELSA- to identify associations between obesity and progression of disease in (i)subtypes of arthritis in US and ELSA defined in objective 2 and (ii)early inflammatory arthritis in the Norfolk Arthritis Register (NOAR)These objectives will be addressed using different types of datasets, which contain information on socio-demographic factors, obesity and arthritis. This study will therefore use data from two nationally representative survey datasets (US and ELSA) and a longitudinal observational study of patients with inflammatory arthritis (NOAR).

肥胖，定义为异常或过度的脂肪积累，在全球范围内正在增加。自20世纪90年代中期以来，英国成年人肥胖率上升了15%，是西欧最严重的国家之一：几乎三分之一的成年人患有肥胖症。肥胖症是一种复杂的多因素疾病;大量研究表明，社会人口因素，如低收入，与肥胖症的发病率较高有关。关节炎，包括骨关节炎（OA）和类风湿性关节炎（RA），估计在英国影响多达1000万人，并且是工作残疾的主要原因，估计每年花费70亿英镑。与肥胖类似，OA与几个社会人口因素有关，包括教育类型和水平，收入和职业。除此之外，肥胖人群患OA的几率更高，关节置换手术等疾病预后较差。相反，RA的研究显示，社会人口因素与疾病发生之间的关联较弱。然而，吸烟的情况并非如此;研究表明，吸烟的人患RA的几率较高，但肥胖率较低。这表明肥胖可能是某些社会决定因素与疾病发生和进展之间关系的重要媒介。肥胖和类风湿关节炎之间的关系尚不清楚;一些研究报告肥胖是类风湿关节炎的危险因素，但与非肥胖患者相比，肥胖患者的类风湿关节炎的预后和严重程度似乎更好。该项目的目的是了解社会决定因素，肥胖和关节炎之间的关系，使用不同的队列，包括来自广泛社会的个人，老年群体的个人和早期炎性关节炎的个人。这将通过以下目标实现：- 确定英国老龄化纵向研究（艾尔莎）和理解协会（US）中肥胖和关节炎发病率的不同定义之间的关联（即骨关节炎/炎性关节炎），可用的生物标志物和药物-研究社会人口统计学因素对肥胖和目标2中定义的关节炎亚型（US和艾尔莎）之间因果通路的介导作用-确定肥胖和疾病进展之间的关联（i）目标2中定义的关节炎亚型（US和艾尔莎）和（ii）诺福克关节炎登记（NOAR）中的早期炎性关节炎这些目标将使用不同类型的数据集来解决，所述数据集包含关于社会人口因素、肥胖和关节炎的信息。因此，本研究将使用来自两个全国代表性调查数据集（US和艾尔莎）和一项炎性关节炎患者纵向观察性研究（NOAR）的数据。