{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:13:31Z","timestamp":1777396411732,"version":"3.51.4"},"reference-count":58,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAD"],"published-print":{"date-parts":[[2023,9,12]]},"abstract":"<jats:p>Background: Retinal nerve fiber layer (RNFL) thickness may reflect cerebral status. Objective: This study assessed the relationship between RNFL thickness and incident all-cause dementia in the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) Eye Study. Methods: Glaucoma detection with variable corneal compensation (GDx-VCC) and Heidelberg Retinal Tomograph II (HRT II) derived global mean RNFL thickness from dementia-free participants at baseline within the EPIC-Norfolk Eye Study were analyzed. Incident dementia was identified through linkage to electronic medical records. Cox proportional hazard mixed-effects regression models adjusted for key confounders were used to examine the associations between RNFL thickness and incident dementia in four separate models. Results: 6,239 participants were included with 322 cases of incident dementia and mean age of 67.5-years old, with 49.7% women (median follow-up 13.2-years, interquartile range (11.7 to 14.6 years). Greater RNFL thickness (GDx-VCC) was not significantly associated with a lower risk of incident dementia in the full adjusted model [HR per quartile increase 0.95; 95% CI 0.82\u20131.10]. Similarly, RNFL thickness assessed with HRT II was also not associated with incident dementia in any model (full adjusted model; HR per quartile increase: 1.06; [95% CI 0.93\u20131.19]. Gender did not modify any associations under study. Conclusion: GDx-VCC and HRT II derived RNFL thickness are unlikely to be useful predictors of incident dementia. Higher resolution optical imaging technologies may clarify whether there are useful relationships between neuro-retinal morphology and brain measures.<\/jats:p>","DOI":"10.3233\/jad-230073","type":"journal-article","created":{"date-parts":[[2023,8,13]],"date-time":"2023-08-13T15:08:59Z","timestamp":1691939339000},"page":"691-702","source":"Crossref","is-referenced-by-count":2,"title":["Association Between Retinal Nerve Fiber Layer Thickness and Incident Dementia in the European Prospective Investigation into Cancer in Norfolk Cohort"],"prefix":"10.1177","volume":"95","author":[{"given":"Grace S.","family":"Yin","sequence":"first","affiliation":[{"name":"Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK"},{"name":"MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"van der Heide","sequence":"additional","affiliation":[{"name":"Cardiovascular Research Institute Maastricht School for Cardiovascular Diseases, Maastricht University, the Netherlands"},{"name":"Department of Internal Medicine, Maastricht University Medical Center, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas J.","family":"Littlejohns","sequence":"additional","affiliation":[{"name":"Nuffield Department of Population Health, University of Oxford, Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"El\u017cbieta","family":"Ku\u017ama","sequence":"additional","affiliation":[{"name":"Albertinen-Haus Centre for Geriatrics and Gerontology, University of Hamburg, Hamburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shabina","family":"Hayat","sequence":"additional","affiliation":[{"name":"Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, 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