Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study.

Blood pressure Body mass index Cardio-metabolic risk factors Cholesterol Cohort Dementia Glucose Haemoglobin A1c High-density lipoprotein Longitudinal Low-density lipoprotein Predictors Trajectories Type 2 diabetes Vascular risk factors

Journal

European journal of epidemiology
ISSN: 1573-7284
Titre abrégé: Eur J Epidemiol
Pays: Netherlands
ID NLM: 8508062

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 24 06 2022
accepted: 17 02 2023
medline: 19 6 2023
pubmed: 5 3 2023
entrez: 4 3 2023
Statut: ppublish

Résumé

To assess 20-year retrospective trajectories of cardio-metabolic factors preceding dementia diagnosis among people with type 2 diabetes (T2D). We identified 227,145 people with T2D aged > 42 years between 1999 and 2018. Annual mean levels of eight routinely measured cardio-metabolic factors were extracted from the Clinical Practice Research Datalink. Multivariable multilevel piecewise and non-piecewise growth curve models assessed retrospective trajectories of cardio-metabolic factors by dementia status from up to 19 years preceding dementia diagnosis (dementia) or last contact with healthcare (no dementia). 23,546 patients developed dementia; mean (SD) follow-up was 10.0 (5.8) years. In the dementia group, mean systolic blood pressure increased 16-19 years before dementia diagnosis compared with patients without dementia, but declined more steeply from 16 years before diagnosis, while diastolic blood pressure generally declined at similar rates. Mean body mass index followed a steeper non-linear decline from 11 years before diagnosis in the dementia group. Mean blood lipid levels (total cholesterol, LDL, HDL) and glycaemic measures (fasting plasma glucose and HbA1c) were generally higher in the dementia group compared with those without dementia and followed similar patterns of change. However, absolute group differences were small. Differences in levels of cardio-metabolic factors were observed up to two decades prior to dementia diagnosis. Our findings suggest that a long follow-up is crucial to minimise reverse causation arising from changes in cardio-metabolic factors during preclinical dementia. Future investigations which address associations between cardiometabolic factors and dementia should account for potential non-linear relationships and consider the timeframe when measurements are taken.

Identifiants

pubmed: 36869989
doi: 10.1007/s10654-023-00977-7
pii: 10.1007/s10654-023-00977-7
pmc: PMC10276060
doi:

Substances chimiques

Blood Glucose 0
Cholesterol, HDL 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

733-744

Subventions

Organisme : Diabetes UK
ID : 18/0005851
Pays : United Kingdom

Informations de copyright

© 2023. The Author(s).

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Auteurs

Heidi T M Lai (HTM)

Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St Dunstan's Road, London, W6 8RP, UK. h.lai@imperial.ac.uk.
Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK. h.lai@imperial.ac.uk.

Kiara Chang (K)

Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St Dunstan's Road, London, W6 8RP, UK.
Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.

Mansour T A Sharabiani (MTA)

Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.

Jonathan Valabhji (J)

NHS England, London, UK.
Department of Diabetes and Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK.
Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.

Edward W Gregg (EW)

School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Lefkos Middleton (L)

Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK.
Imperial College Healthcare NHS Trust, London, UK.

Azeem Majeed (A)

Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Imperial College Healthcare NHS Trust, London, UK.

Jonathan Pearson-Stuttard (J)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Health Analytics, Lane Clark & Peacock LLP, London, UK.
Northumbria Healthcare NHS Foundation Trust, North Shields, UK.

Christopher Millett (C)

Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St Dunstan's Road, London, W6 8RP, UK.
Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Public Health Research Centre, Comprehensive Health Research Center, NOVA National School of Public Health, CHRC, NOVA University Lisbon, Lisbon, Portugal.

Alex Bottle (A)

Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.

Eszter P Vamos (EP)

Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St Dunstan's Road, London, W6 8RP, UK.
Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.

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