UKCHASCAP

To provide evidence for healthy aging in China and the UK by predicting the future dementia burden in both countries and evaluating potential intervention strategies.

Research purposes

To provide evidence for healthy aging in China and the UK by predicting the future dementia burden in both countries and evaluating potential intervention strategies.

Research content

  1. Prediction and comparison of dementia population size in China and the UK
  2. Study on the social and economic burden and fairness of dementia in China and the UK
  3. Evaluation of the effectiveness and cost-effectiveness of cognitive function promotion strategies in the elderly
  4. Analysis of the compatibility between elderly care demand and long-term care policy supply

Zeng, M., Chen, Y., Lobanov-Rostovsky, S., Liu, Y., Steptoe, A., Brunner, E.J. and Liao, J. *, 2024. Adiposity and dementia among Chinese adults: longitudinal study in the China health and retirement longitudinal study (CHARLS). International Journal of Obesity, 49(4), pp.706–714

Liu, Y., Wu, Y., Chen, Y., Lobanov-Rostovsky, S., Liu, Y., Zeng, M., Bandosz, P., Xu, D.R., Wang, X., Liu, Y., Hao, Y., French, E., Brunner, E.J. and Liao, J.*, 2024. Projection for dementia burden in China to 2050: a macro-simulation study by scenarios of dementia incidence trends. The Lancet Regional Health-Western Pacific, 50

Liu, Y., Gao, X., Zhang, Y., Zeng, M., Liu, Y., Wu, Y., Hu, W., Lai, Y. and Liao, J.*, 2024. Geographical variation in dementia prevalence across China: a geospatial analysis. The Lancet Regional Health-Western Pacific, 47 Wu, Y., Liu, Y., Liu, Y., Chen, Y., Lobanov-Rostovsky, S., Zhang, Y., Liu, Y., Brunner, E.J., French, E. and Liao, J.*, 2024. Projections of socioeconomic costs for individuals with dementia in China 2020–2050: modeling study. Journal of Alzheimer’s Disease, 101(4), pp.1-11

Liu, Y., Wu, Y., Cai, J., Huang, Y., Chen, Y., Venkatraman, T.M., Lobanov‐Rostovsky, S., Bandosz, P., Yang, Y., Wu, Y. and Liao, J.*, 2022. Is there a common latent cognitive construct for dementia estimation across two Chinese cohorts? Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 14(1), pp.e12356

Minrui Zeng
Minrui Zeng
Master of Science in Epidemiology and Biostatistics, 2021-2024

scenario analysis in dementia care

Yuntao Chen
Yuntao Chen
Senior Fellow Researcher,Faculty of Brain Science,University College London

dynamic prediction models and longitudinal modelling of modifiable risk factors for dementia, especially air pollution

Eric Brunner
Eric Brunner
Professor of Social and Biological Epidemiology, University College London

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Jing Liao
Jing Liao
Associate professor, Department of Medical Statistics & Epidemiology| SYSU Global Health Institute (SGHI), Sun Yat-sen University, China

Healthy ageing dynamics, examining social networks × health behaviors × multidimensional functioning (physical/cognitive/social). Uses longitudinal cohort modeling (global datasets) to pinpoint socio-determinants, with RCT-validated interventions.

Yanjuan Wu
Yanjuan Wu
Master of Science in Epidemiology and Biostatistics, 2020-2023

Alzheimer’s socioeconomic costs prediction

Yixuan Liu
Yixuan Liu
Master of Science in Epidemiology and Biostatistics, 2021-2024

geospatial analysis of dementia prevalence among older adults

Yu-Tzu Wu
Yu-Tzu Wu
Royal Statistical Society Chartered Statistician,Fellow of Newcastle University Policy Academy

Ageing research especially the potential impact of environment on health and wellbeing in later life.