Novel exposure estimation for assessing the effects of long-term exposure to pollutants on cognitive decline and dementia.

用于评估长期接触污染物对认知能力下降和痴呆症影响的新型暴露估计。

• 批准号: 1951117
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1951117
• 关键词: Novel; exposure; estimation; assessing; effects

We aim to assess the effects of air pollution exposure on cognitive change and dementia over time. A longitudinal cohort methodology will incorporate one or more existing cohorts for analysis. Air pollution exposure will be assessed for each individual participant using the advanced deterministic modelling methods developed here at King's. In order to estimate air pollution exposure effectively, participant residential information will be required. Access to such data is obtainable but will take careful planning and a stringent strategy in order to acquire. We also hope to incorporate time-activity patterns for the first time in a study of this kind via the London Hybrid Exposure Model (LHEM) also developed at King's. The English Longitudinal Study of Ageing (ELSA), which implements a consistent battery of cognitive tests at regular follow-ups, will provide us with the opportunity to measure cognitive change at the individual level, whilst also allowing us to assess such changes in light of the risk factors associated with the development of dementia.

我们的目标是评估空气污染暴露对认知变化和痴呆症的影响。纵向队列方法将纳入一个或多个现有队列进行分析。空气污染暴露将使用在King's开发的先进确定性建模方法评估每个参与者。为了有效地估计空气污染暴露，将需要参与者的居住信息。这些数据是可以获得的，但需要仔细规划和严格的战略才能获得。我们还希望通过国王学院开发的伦敦混合暴露模型（LHEM），首次将时间-活动模式纳入此类研究。英国老龄化纵向研究（艾尔莎）在定期随访时实施了一系列一致的认知测试，这将为我们提供在个体水平上测量认知变化的机会，同时也使我们能够根据与痴呆症发展相关的风险因素评估这种变化。