Dementia diagnosis rates according to ethnic groups: Analysis of primary care data in Bradford, UK

Abstract INTRODUCTION Ethnic differences in recorded dementia diagnosis may partially reflect differences in population age structure. We examined ethnic differences in recorded dementia incidence, age at diagnosis, and age at death using UK primary care data. METHODS We analyzed Connected Bradford data (2009–2019) for adults aged ≥ 45 years. Poisson regression estimated incidence rate ratios adjusted for age, sex, and deprivation. Linear regression examined age at diagnosis and death. Age structure–standardized analyses used post‐stratification weights. RESULTS Among 262,852 individuals, 4458 dementia diagnoses were identified. Most ethnic differences in recorded incidence attenuated after adjustment. Mixed/multiple ethnic groups had higher adjusted incidence than the White British group (adjusted incidence rate ratio 1.64, 95% confidence interval 1.14–2.37). Differences in age at diagnosis and death among South Asian individuals attenuated and were no longer statistically significant after age‐structure standardization. DISCUSSION These findings highlight the importance of considering age structure and deprivation when interpreting ethnic differences in recorded dementia diagnosis.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia Behavior & Socioeconomics of Aging
Published
2026-10-15
DOI
https://doi.org/10.1002/bsa3.70120
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dementia diagnosis rates according to ethnic groups: Analysis of primary care data in Bradford, UK

Andrew Paul Clegg, Lin Gong, Rebecca Hawkins, Magda Jordão et al.
Alzheimer s & Dementia Behavior & Socioeconomics of Aging
Dementia and Cognitive Impairment Research
article

Dementia diagnosis rates according to ethnic groups: Analysis of primary care data in Bradford, UK

Andrew Paul Clegg, Lin Gong, Rebecca Hawkins, Magda Jordão, Kate Best
article en

Abstract

Abstract INTRODUCTION Ethnic differences in recorded dementia diagnosis may partially reflect differences in population age structure. We examined ethnic differences in recorded dementia incidence, age at diagnosis, and age at death using UK primary care data. METHODS We analyzed Connected Bradford data (2009–2019) for adults aged ≥ 45 years. Poisson regression estimated incidence rate ratios adjusted for age, sex, and deprivation. Linear regression examined age at diagnosis and death. Age structure–standardized analyses used post‐stratification weights. RESULTS Among 262,852 individuals, 4458 dementia diagnoses were identified. Most ethnic differences in recorded incidence attenuated after adjustment. Mixed/multiple ethnic groups had higher adjusted incidence than the White British group (adjusted incidence rate ratio 1.64, 95% confidence interval 1.14–2.37). Differences in age at diagnosis and death among South Asian individuals attenuated and were no longer statistically significant after age‐structure standardization. DISCUSSION These findings highlight the importance of considering age structure and deprivation when interpreting ethnic differences in recorded dementia diagnosis.

Alzheimer s & Dementia Behavior & Socioeconomics of AgingVol. 2(4)
Bradford Teaching Hospitals NHS Foundation Trust (GB)
UK Research and Innovation, Alzheimer's Society, National Institute for Health and Care Research, Leeds Biomedical Research Centre, Health Data Research UK
Good health and well-being, Reduced inequalities
Openalex Percentile: Top 13%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.