# The PREVENT dementia programme: baseline demographic, lifestyle, imaging and cognitive data from a midlife cohort study investigating risk factors for dementia

**Authors:** Craig W Ritchie, Katie Bridgeman, Sarah Gregory, John T O’Brien, Samuel O Danso, Maria-Eleni Dounavi, Isabelle Carriere, David Driscoll, Robert Hillary, Ivan Koychev, Brian Lawlor, Lorina Naci, Li Su, Audrey Low, Elijah Mak, Paresh Malhotra, Jean Manson, Riccardo Marioni, Lee Murphy, Georgios Ntailianis, William Stewart, Graciela Muniz-Terrera, Karen Ritchie

PMC · DOI: 10.1093/braincomms/fcae189 · Brain Communications · 2024-05-31

## TL;DR

The PREVENT study tracks 700 midlife participants in the UK and Ireland to identify early dementia risk factors using data like brain scans and lifestyle information.

## Contribution

The study introduces a novel midlife cohort with rich baseline data to explore early indicators of dementia risk.

## Key findings

- The cohort includes 700 participants with a mean age of 51.2 years and a high prevalence of APOEɛ4 carriers.
- Baseline data show good representation of known dementia risk factors and cognitive health metrics.
- Open-access data are available via Alzheimer’s Disease Data Initiative and Dementia Platforms UK platforms.

## Abstract

PREVENT is a multi-centre prospective cohort study in the UK and Ireland that aims to examine midlife risk factors for dementia and identify and describe the earliest indices of disease development. The PREVENT dementia programme is one of the original epidemiological initiatives targeting midlife as a critical window for intervention in neurodegenerative conditions. This paper provides an overview of the study protocol and presents the first summary results from the initial baseline data to describe the cohort. Participants in the PREVENT cohort provide demographic data, biological samples (blood, saliva, urine and optional cerebrospinal fluid), lifestyle and psychological questionnaires, undergo a comprehensive cognitive test battery and are imaged using multi-modal 3-T MRI scanning, with both structural and functional sequences. The PREVENT cohort governance structure is described, which includes a steering committee, a scientific advisory board and core patient and public involvement groups. A number of sub-studies that supplement the main PREVENT cohort are also described. The PREVENT cohort baseline data include 700 participants recruited between 2014 and 2020 across five sites in the UK and Ireland (Cambridge, Dublin, Edinburgh, London and Oxford). At baseline, participants had a mean age of 51.2 years (range 40–59, SD ± 5.47), with the majority female (n = 433, 61.9%). There was a near equal distribution of participants with and without a parental history of dementia (51.4% versus 48.6%) and a relatively high prevalence of APOEɛ4 carriers (n = 264, 38.0%). Participants were highly educated (16.7 ± 3.44 years of education), were mainly of European Ancestry (n = 672, 95.9%) and were cognitively healthy as measured by the Addenbrookes Cognitive Examination-III (total score 95.6 ± 4.06). Mean white matter hyperintensity volume at recruitment was 2.26 ± 2.77 ml (median = 1.39 ml), with hippocampal volume being 8.15 ± 0.79 ml. There was good representation of known dementia risk factors in the cohort. The PREVENT cohort offers a novel data set to explore midlife risk factors and early signs of neurodegenerative disease. Data are available open access at no cost via the Alzheimer’s Disease Data Initiative platform and Dementia Platforms UK platform pending approval of the data access request from the PREVENT steering group committee.

PREVENT is a multi-centre prospective cohort study with 700 participants aged 40–59 from the UK and Ireland that aims to examine midlife risk factors for dementia. This paper provides an overview of the study protocol and presents the first summary results from the initial baseline data to describe the cohort.

Graphical Abstract

## Linked entities

- **Diseases:** dementia (MONDO:0001627)

## Full-text entities

- **Diseases:** white matter hyperintensity (MESH:D056784), Dementia (MESH:D003704), PREVENT (MESH:D000079263), Alzheimer's Disease (MESH:D000544), neurodegenerative conditions (MESH:D019636)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC11166176/full.md

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Source: https://tomesphere.com/paper/PMC11166176