Objective
Air pollution (AP) remains prevalent globally. Its impact on dementia risk is unclear. We propose to investigate the association of dementia with AP and explore mediation effects on the association from other factors. We will examine data of 2776 participants aged >=60 years who were randomly recruited from urban and rural of China. Their baseline risk factors (including environmental tobacco smoke-ETS and fish consumption) were recorded and dementia was diagnosed in a standard interview package. They were followed up for 4 years to identify mortality and incident dementia. We will calculate the residential distance proximity to major roadways (REDPMR) for each cohort member (an approximate AP exposure), and also collect regional AP monitoring data to evaluate individual exposure to AP. We will employ multivariate adjusted Cox regression models to examine the association of AP with dementia and interaction and mediation effects from ETS and fish consumption on the association. In the UK we will recruit 200 elders aged>=75 years with newly diagnosed dementia and 200 without dementia from the Royal Wolverhampton hospital. We will document their disease risk factors, REDPMR and local residential AP. Using multivariate logistic regression models we will examine the associations of REDPMR with dementia. We will run 2 focus groups each in the UK and China to explore the effects of AP on dementia and preventive measures of AP and dementia. Our unique data, including participants with special characteristics from China will offer internationally applicable insights into the impact of AP on dementia. Throughout the research project, use of varied study and research methodologies and rigorous training courses, our Fellow will develop his leadership skills and further his career in public health research. The project will strengthen a long-term collaboration between EU and China partners, and will provide Europe with new data to prevent dementia and to reduce AP.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences public health
- social sciences sociology demography mortality
- engineering and technology environmental engineering air pollution engineering
- medical and health sciences basic medicine neurology dementia
- natural sciences earth and related environmental sciences environmental sciences pollution
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
WV1 1LY Wolverhampton
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.