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Potential impact of diabetes prevention on mortality and future burden of dementia and disability: a modelling study.
Bandosz, Piotr; Ahmadi-Abhari, Sara; Guzman-Castillo, Maria; Pearson-Stuttard, Jonathan; Collins, Brendan; Whittaker, Hannah; Shipley, Martin J; Capewell, Simon; Brunner, Eric J; O'Flaherty, Martin.
Afiliação
  • Bandosz P; Department of Public Health and Policy, University of Liverpool, 3rd Floor, Whelan Building, Brownlow Hill, Liverpool, L69 3GB, UK. P.Bandosz@liverpool.ac.uk.
  • Ahmadi-Abhari S; Department of Prevention and Medical Education, Medical University of Gdansk, Gdansk, Poland. P.Bandosz@liverpool.ac.uk.
  • Guzman-Castillo M; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Pearson-Stuttard J; Ageing Epidemiology (AGE) Research Unit, Imperial College London, London, UK.
  • Collins B; Department of Public Health and Policy, University of Liverpool, 3rd Floor, Whelan Building, Brownlow Hill, Liverpool, L69 3GB, UK.
  • Whittaker H; Department of Social Sciences, University of Helsinki, Helsinki, Finland.
  • Shipley MJ; Department of Public Health and Policy, University of Liverpool, 3rd Floor, Whelan Building, Brownlow Hill, Liverpool, L69 3GB, UK.
  • Capewell S; School of Public Health, Imperial College London, London, UK.
  • Brunner EJ; Department of Public Health and Policy, University of Liverpool, 3rd Floor, Whelan Building, Brownlow Hill, Liverpool, L69 3GB, UK.
  • O'Flaherty M; National Heart and Lung Institute (NHLI), Imperial College London, London, UK.
Diabetologia ; 63(1): 104-115, 2020 01.
Article em En | MEDLINE | ID: mdl-31732789
ABSTRACT
AIMS/

HYPOTHESIS:

Diabetes is associated with an increased risk of dementia. We estimated the potential impact of trends in diabetes prevalence upon mortality and the future burden of dementia and disability in England and Wales.

METHODS:

We used a probabilistic multi-state, open cohort Markov model to integrate observed trends in diabetes, cardiovascular disease and dementia to forecast the occurrence of disability and dementia up to the year 2060. Model input data were taken from the English Longitudinal Study of Ageing, Office for National Statistics vital data and published effect estimates for health-state transition probabilities. The baseline scenario corresponded to recent trends in obesity a 26% increase in the number of people with diabetes by 2060. This scenario was evaluated against three alternative projected trends in diabetes increases of 49%, 20% and 7%.

RESULTS:

Our results suggest that changes in the trend in diabetes prevalence will lead to changes in mortality and incidence of dementia and disability, which will become visible after 10-15 years. If the relative prevalence of diabetes increases 49% by 2060, expected additional deaths would be approximately 255,000 (95% uncertainty interval [UI] 236,000-272,200), with 85,900 (71,500-101,600) cumulative additional cases of dementia and 104,900 (85,900-125,400) additional cases of disability. With a smaller relative increase in diabetes prevalence (7% increase by 2060), we estimated 222,200 (205,700-237,300) fewer deaths, and 77,000 (64,300-90,800) and 93,300 (76,700-111,400) fewer additional cases of dementia and disability, respectively, than the baseline case of a 26% increase in diabetes. CONCLUSIONS/

INTERPRETATION:

Reducing the burden of diabetes could result in substantial reductions in the incidence of dementia and disability over the medium to long term.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Demência / Diabetes Mellitus Tipo de estudo: Health_economic_evaluation / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Diabetologia Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Demência / Diabetes Mellitus Tipo de estudo: Health_economic_evaluation / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Diabetologia Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido