SABRE: Southall and Brent Revisited - S251 participants not cancer notifiable

Data-sharing agreement from NHS England Data Uses Register. Evidence status: source reported.

Organisation: UNIVERSITY COLLEGE LONDON (UCL)
Published: 2026-10-09
Source reference: DARS-NIC-99077-Q0K6Z-v9.3
Jurisdiction: England
Licence: Open Government Licence v3.0, subject to NHS England terms and exclusions

Register reference: DARS-NIC-99077-Q0K6Z-v9.3
Applicant type: Academic
Data controllers: UNIVERSITY COLLEGE LONDON (UCL)
Agreement period: 2026-10-09 to 2029-12-10
For commercial purposes (as marked in the register): No
Release files listed by NHS England: 0

Data approved

Civil Registrations of Death
Demographics
Hospital Episode Statistics Admitted Patient Care (HES APC)
MRIS - Cause of Death Report
MRIS - Cohort Event Notification Report
MRIS - Flagging Current Status Report
MRIS - List Cleaning Report
MRIS - Members and Postings Report

Objective, as published

The University College London requires access to NHS England data for the purpose of the following research project: SABRE: Southall and Brent Revisited SABRE is a population-based cohort study, in its current 25 year follow-up phase, the study focuses on identifying and understanding the underlying reasons for ethnic group and sex differences in cardiometabolic disease and in physical, psychological and cognitive function in older age. Specific questions for the 25 year follow-up study are: 1. How large are ethnic /sex differences in cardiac function, cognitive function and hippocampal volumes in older age? 2. To what extent do cardiac function, cognitive function and hippocampal volumes change over a 5 year period in each ethnic group? 3. Which risk factors measured in mid-life and in early old age are most strongly associated with current cardiac and cognitive function and hippocampal volumes and with 5 year changes in these parameters? Can these risk factors explain ethnic differences in cardiac and cognitive function? 4. How large are gender differences in current disorders of cardiac and cognitive function and in their associations with current risk factors? 5. Do ethnic differences in incident cardiometabolic disorders persist into older age? 6. Which risk factors or risk factor profiles measured in mid-life and early old age are most strongly associated with incident cardiometabolic disorders and which best explain ethnic differences in incidence? The following NHS E…

Expected benefits, as published

The rich phenotypic and genotypic dataset gathered over a 30+ year period since 1988 already enables analyses assessing mid-life predictors of health and ill-health in older age and will enable unique analyses of how these associations may be related to ethnicity and migration. Good physical and cognitive functions are vital to healthy ageing and factors which influence these across the life course are poorly understood, particularly in non-European origin populations. As the cohort is reaching older age, an increase in risk of heart failure, which can be severely debilitating, is expected. Ethnic differentials in heart failure rates are not well studied to date. Increasing length of follow-up and novel analytic techniques, both statistical and relating to stored images and samples bring…

Benefits reported by the applicant

The research has enabled improved ascertainment of incident coronary heart disease and stroke events and resulted in many publications in high impact journals relating these outcomes to risk factors measured in mid-life (ages 40-70 at baseline). This is a mechanistic research study in a population-based sample, looking at underlying reasons for disparities in health and function in older age, with a particular focus on ethnic minorities. In an ageing general population and with over 16% of the population of England being from ethnic minority backgrounds (most of South Asian or Black African or African Caribbean origins), the findings impact on a very large number of people. As an example, our findings regarding the extraordinarily high incidence of new onset diabetes in South Asians and A…

This is the applicant's own account; OpenHDI has not verified it.

Source: https://digital.nhs.uk/services/data-access-request-service-dars/data-uses-register. Captured 2026-11-05.

Limitations: Data-sharing agreement as published in NHS England's Data Uses Register. An agreement permits access; actual data releases are listed separately. Expected and yielded benefits are as reported by the applicant and have not been independently verified. Long text fields can be cut off in NHS England's spreadsheet export at Excel's 32,767-character cell limit.