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Publications

Genetically Predicted Differences in Systolic Blood Pressure and Risk of Cardiovascular and Noncardiovascular Diseases: A Mendelian Randomization Study in Chinese Adults.

Clarke R. et al, (2023), Hypertension

Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

Small S. et al, (2023)

Validation of the World Health Organization non-laboratory-based cardiovascular disease risk prediction models in ten diverse regions of China

CHEN Z. et al, (2022), Bulletin of the World Health Organization

Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000-18: a geospatial modelling study.

Local Burden of Disease Household Air Pollution Collaborators None., (2022), The Lancet. Global health, 10, e1395 - e1411

Systematic review of the utility of the frailty index and frailty phenotype to predict all-cause mortality in older people.

Kim DJ. et al, (2022), Syst Rev, 11

Alcohol intake and cause-specific mortality: Conventional and genetic evidence in 500,000 men and women in China

Millwood IY. et al, (2022), ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 46, 26 - 26

Blood pressure-lowering treatment for prevention of major cardiovascular diseases in people with and without type 2 diabetes: an individual participant-level data meta-analysis.

Nazarzadeh M. et al, (2022), Lancet Diabetes Endocrinol, 10, 645 - 654

An Overview of Methods and Exemplars of the Use of Mendelian Randomisation in Nutritional Research.

Bennett DA. and Du H., (2022), Nutrients, 14

Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults.

Chun M. et al, (2022), Stroke Vasc Neurol, 7, 328 - 336

Personalized knowledge to reduce the risk of stroke (PERKS-International): Protocol for a randomized controlled trial.

Gall SL. et al, (2022), Int J Stroke

Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020.

GBD 2020 Alcohol Collaborators None., (2022), Lancet, 400, 185 - 235

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990-2019: an analysis of data from the Global Burden of Disease Study 2019.

GBD 2019 Diabetes and Air Pollution Collaborators None., (2022), Lancet Planet Health, 6, e586 - e600

Development of a Model to Predict 10-Year Risk of Ischemic and Hemorrhagic Stroke and Ischemic Heart Disease Using the China Kadoorie Biobank.

Yang S. et al, (2022), Neurology, 98, e2307 - e2317

Burden of non-communicable diseases among adolescents aged 10-24 years in the EU, 1990-2019: a systematic analysis of the Global Burden of Diseases Study 2019.

Armocida B. et al, (2022), Lancet Child Adolesc Health, 6, 367 - 383

The burden of injury in Central, Eastern, and Western European sub-region: a systematic analysis from the Global Burden of Disease 2019 Study.

Haagsma JA. et al, (2022), Arch Public Health, 80

Resting heart rate and risk of left and right heart failure in 0.5 million Chinese adults.

Agbor VN. et al, (2022), Open Heart, 9

Gender differences in modifiable risk factors for hip fracture: 10-year follow-up of a prospective study of 0.5 million Chinese adults.

Yao P. et al, (2022), J Intern Med, 291, 481 - 492

Genetic associations of adult height with risk of cardioembolic and other subtypes of ischemic stroke: A mendelian randomization study in multiple ancestries.

Linden AB. et al, (2022), PLoS Med, 19

Variability and agreement of frailty measures and risk of falls, hospital admissions and mortality in TILDA.

Kim DJ. et al, (2022), Sci Rep, 12

Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019.

GBD 2019 Diabetes Mortality Collaborators None., (2022), Lancet Diabetes Endocrinol, 10, 177 - 192

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