Understanding social and spatial inequalities in common mental health disorders

英国有一些欧洲最高水平的常见心理健康障碍（例如，焦虑、抑郁、创伤后应激障碍）。每四个成年人中就有一个每年都会遇到心理健康问题，每六个人中就有一个每周都会遇到问题。心理健康状况不佳的人在整个人群中的感受并不均匀。在性别、年龄组、种族和社会经济地位方面存在着广泛的不平等。这种复杂的因素相互作用意味着心理健康的地理分布也是不均衡的，对心理健康的空间决定因素研究不足。提高我们对这些不平等背后的原因的理解是至关重要的设计有效的政策，以解决贫困的心理健康。这个博士项目将利用电子健康记录从NHS数字（小面积药物分配记录）和CIPHA（二级保健链接记录）检查跨柴郡和默西塞德郡常见的心理健康障碍的驱动程序。通过确定该地区哪些社区的常见精神健康障碍发病率较高（包括按类型），我们将评估社区社会经济剥夺在解释模式中的作用。通过对这种关系进行建模，我们将重点关注与剥夺不能解释常见心理健康障碍的领域相对应的“残差”。该项目将评估人员和区域的类型（例如，服务的可获得性，建筑环境的特征），以解释这些剩余的街区，以确定干预的机会。关键词：空间和社会不平等，地理空间健康，空间分析，转化研究

The UK has some of Europe's highest level of common mental health disorders (e.g., anxiety, depression, post-traumatic stress disorder). 1 in 4 adults will experience a mental health problem each year, with 1 in 6 experiencing a problem weekly. Who experiences poor mental health is not evenly felt across the population. There are wide inequalities across sex, age group, ethnicity and socioeconomic status. This complex interplay of factors means that the geography of mental health is also uneven, with the spatial determinants of mental health under-researched. Improving our understanding of the reasons behind these inequalities is paramount for designing effective policies for tackling poor mental health.This PhD project will utilise electronic health records from NHS Digital (small area medication dispensing records) and CIPHA (secondary care linked records) to examine the drivers of common mental health disorders across Cheshire and Merseyside. Through identifying which neighbourhoods across the region have higher incidence of common mental health disorders (including by type), we will assess the role that neighbourhood socioeconomic deprivation plays in explaining patterns. Through modelling this relationship, we will focus on the 'residuals' which correspond to areas where deprivation does not explain common mental health disorders. The project will characterise the types of people and areas (e.g., accessibility to services, features of built environment) that explain these residual neighbourhoods, to identify opportunities for intervention.Key words: spatial and social inequalities, geospatial health, spatial analysis, translational research