Spatial differentiation and key determinants of health-related well-being in Tameside and Glossop: geo-visualisation and multi-level spatial modelling

Tameside 和 Glossop 的空间分异和健康相关福祉的关键决定因素：地理可视化和多层次空间建模

• 批准号: 2886163
• 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: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2886163
• 关键词: Spatial; differentiation; key; determinants; health

This proposed study aims to bridge the above identified knowledge gaps by systematically examining the key determinants, and their interrelations, over differential health-related well-being in urban neighbourhoods from a human-environment perspective. The study will greatly benefit from gaining access to different geo-referenced health datasets provided by the collaborative partner and fostering inter-disciplinary research between planning academics and public health practitioners. The proposed study will address two main questions: how can we understand the spatially variated patterns of health related well-being across different neighbourhoods; and how different dimensions of determinants are interrelated and impact on health-related well-being of residents in different neighbourhoods?There are five key research objectives:(1) To develop a conceptual framework that guides our theoretical understanding and empirical modelling of key determinants (under different dimensions) and their interrelations on health-related well-being, both physical and emotional, by adopting a salutogenic approach that focuses on the human-environment perspective. (2) To operationalise multi-variate measures of key health-related well-being determinants by collating, validating and integrating relevant data sources and indicators from different geo-referenced datasets and population/patient surveys.(3) To establish the variegated geographic patterns and temporal change of different chronic diseases and health outcomes across different neighbourhoods and to understand their spatial correlations with the different health-related determinants via GIS mapping and spatial clustering analysis. (4) To apply multi-level spatial modelling framework to establish the interrelations among different dimensions of determinants over different spatial levels and to establish their relative importance in explaining differential health-related well-being of residents in different neighbourhoods.(5) To draw out the evidence-base to inform policy and practice development over the tackling of health inequalities issues and to foster joint working in local authorities and combined authorities to reduce health inequalities in and beyond the case study area.Tameside and Glossop, where our collaborative partner operates, is the case study area. While the case study area consists of neighbourhoods with varied socio-spatial contexts, residents in many neighbourhoods suffer from lower life expectancy and other chronic diseases and live in the country's 10% most deprived neighbourhoods

这项拟议的研究旨在通过系统地检查关键决定因素及其相互关系来弥合上述知识差距，从人类环境的角度来看，城市社区中与健康相关的福祉。这项研究将从合作伙伴提供的不同地理参考的健康数据集并促进计划学者与公共卫生从业人员之间的跨学科研究中获得大大受益。拟议的研究将解决两个主要问题：我们如何了解不同社区的健康相关福祉的空间变化模式；以及决定因素的不同方面是如何相互关联的，并对不同社区中居民的健康相关幸福感的影响？有五个关键的研究目标：（1）建立一个概念框架，以指导我们的理论理解和经验模型，对关键决定因素（在不同的维度下）及其在健康方面的相互关系，并通过对健康的良好方式进行促进，并采用与健康相互关注的方法，该方法是通过善良的良好的方法来采用的，以对健康的良好态度，采用与健康相关的态度，采用了salut的良好，以采用与健康相关的方法。 看法。 （2）通过整理，验证和整合不同地理参考数据集的相关数据来源和指标，以操作与健康相关的福祉决定因素的多变量衡量标准，以及通过不同地理参考的数据集以及人口/患者调查的指标。 GIS映射和空间聚类分析。 (4) To apply multi-level spatial modelling framework to establish the interrelations among different dimensions of determinants over different spatial levels and to establish their relative importance in explaining differential health-related well-being of residents in different neighbourhoods.(5) To draw out the evidence-base to inform policy and practice development over the tackling of health inequalities issues and to foster joint working in local authorities and combined authorities to reduce health inequalities in and beyond the case案例研究领域是我们的合作伙伴运营的研究区域。Tameside和Glossop。案例研究区域由社会空间环境不同的社区组成，但许多社区的居民患有寿命较低和其他慢性疾病，并生活在该国10％的最贫困的社区中