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Completed RESEARCH GRANT UKRI Gateway to Research

The Lothian Birth Cohort 1936 Waves 6 and 7

£16.21M GBP

Funder Biotechnology and Biological Sciences Research Council
Recipient Organization University of Edinburgh
Country United Kingdom
Start Date Mar 31, 2022
End Date Aug 30, 2025
Duration 1,248 days
Number of Grantees 7
Roles Co-Investigator; Principal Investigator
Data Source UKRI Gateway to Research
Grant ID BB/W008793/1
Grant Description

As older people form an increasingly large proportion of human populations across the planet, greater resources will be needed for their management and care. Cognitive ageing, the process by which some cognitive abilities decline in older age, is of particular concern because it can lead to reduced quality of life, problems with daily tasks, a loss of independence, and, in its later stages, increased risk of dementia.

Characterising the biological causes of cognitive ageing, and other related aspects of ageing, is therefore important if we are to reduce the burden of ageing at both the individual and societal level. By the time individuals are 85-years old, they are more likely to require assistance to live independently, and have threefold higher risk of dementia than in their 70s.

However, we understand little about the brain and cognitive changes that come about at this age and beyond, and which factors might be most important to ameliorate this in future.

In the proposal, we request funds to continue the COVID-delayed collection of a 6th Wave and add to it a 7th Wave of data collection from participants of the Lothian Birth Cohort 1936 (LBC1936), and to support core staff to enable this collection, and conduct the subsequent analyses from which many novel insights about ageing differences can be learned. The LBC1936 are a large group of relatively healthy community-dwelling older adults who are unique in having cognitive data from youth alongside other important early life data, ongoing linkage to health, administrative and mortality records, and repeat cognitive testing, brain ageing, genetic, epigenetic, lifestyle, psychological, social and other important information obtains from ages 70, 73, 76, 79, and 82-years old.

Age UK had provided funds to complete collection of Wave6 (mean age 85-years), but COVID-delays mean that this funding period will now end mid-Wave 6. This is an important chance - for which we request minority core support - to continue this highly informative and productive interdisciplinary study which will extend the exceptionally detailed characterisation of participants for almost the entire 8th and 9th decades of life.

A purely cross-sectional study with data at age 88-years (their mean age at Wave 7) with this level of data collection and expertise would be world-leading - it is extremely rare to have rich longitudinal data over a preceding 2 decades, plus critical information from much earlier in the lifespan. This longer period of follow up and the work proposed here will enable more precise detection of different aspects of ageing, more detailed ascertainment of those participants who do not return, and new insights into the unique contributions of multiple candidate factors that may determine healthy ageing.

Importantly, alongside new data and hypotheses, this grant would also support stuff crucial for conducting these investigations. The study has a strong and diverse investigator team, and a strong track record in attracting scientists from a many disciplines, which brings with it additional funding, vital complementary expertise and new scientific discoveries.

The hub-and-spoke model is reflected in the minority funding request - the School of Philosophy, Psychology and Language Sciences will also contribute 4 staff, with numerous collaborators and resources representing substantial added value.

This is a vanishing window of opportunity to collect extensive data on adults aged 85 and 88-years old, who have also been deeply phenotyped across the 8th decade of life, and for whom rare early life and lifecourse data are also collected. The opportunity to collect such data again in future may not arise for many years.

All Grantees

University of Edinburgh; King's College London

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