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首页> 外文期刊>International Journal of Population Data Science >Co-producing a typology for Green and Blue spaces for a longitudinal, national dataset of Green and Blue spaces
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Co-producing a typology for Green and Blue spaces for a longitudinal, national dataset of Green and Blue spaces

机译：为纵向，国家数据集的绿色和蓝色空间的绿色和蓝色空间共同生产

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Background with rationaleSpending time in green-blue spaces (GBS) is beneficial for mental health and wellbeing. There are few longitudinal studies, and definitions of GBS differ within academic studies and between policy, practice and research.Main AimQuantify the impact of longitudinal exposure to GBS on wellbeing and common mental health disorders, for a national population (2008-2018) for use in a population-wide natural experiment.MethodsWe co-produced a GBS typology with planners and policy makers at a day-long workshop using validated public participation methods. Using this typology, we built a national, longitudinal GBS dataset created from local government audits and satellite data for 1.4 million homes in Wales, UK.Results produced a nested national typology to define GBS that built on previous academic literature and considered policy and local government planning priorities. The typology differentiated between inland and coastal GBS and facilities available at the GBS e.g. benches, public toilets etc. We created a national, longitudinal dataset of GBS and a cross-sectional dataset of household-level access to GBS for 2018. Access to GBS varied by socio-economic status, urban/rural classification and type of GBS.ConclusionWe worked with policy and planners to produce a typology that will enable us to translate our findings to be used in evidence based policy and planning. We will use the dataset to create quarterly household access to GBS for eleven years (2008-2018). We will link GBS access scores to individual level mental health for 1.7 million people with primary care data and survey data (n = ~12,000) on wellbeing. The results from the wider study will inform the planning and management of GBS in urban and rural environments and contribute to international work on impacts of the built environment on mental health and wellbeing.
机译：背景与绿色蓝色空间（GBS）中的理性化学时间有利于心理健康和福祉。纵向研究少，GBS的定义在学术研究中以及政策，实践和研究之间存在差异。旨在为全国人群（2008-2018）使用的纵向暴露对GBS对GBS的影响在一个人口广泛的自然实验中，ethodswe使用经过验证的公共参与方法在一天长的研讨会上使用策划者和决策者共同生产了GBS类型。使用此类型学，我们建立了一个国家，从本地政府审计和卫星数据创建的国家，威尔士140万住宅，培养了一个嵌套的国家类型，以定义基于以前的学术文学和考虑政策和地方政府的GBS规划优先事项。类型学区别于内陆和沿海GBS和GBS的设施，例如，长凳，公共厕所等我们创建了GBS的全国，纵向数据集和2018年GBS的家庭级别进入的横断面数据集。获得社会经济地位，城市/农村分类和GBS类型的GBS等于GB。结论我们与政策和规划人员合作，以产生一个类型的类型，使我们能够将我们的调查结果转化为基于证据的政策和规划。我们将使用DataSet为11年（2008-2018）创建季度家庭访问GBS。我们将GBS访问分数将170万人的个人级别心理健康链接到初级保健数据和调查数据（n =〜〜12,000）上的福利。更广泛研究的结果将为城乡环境中GB的规划和管理提供信息，并有助于国际工作对建筑环境对心理健康和福祉的影响。

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