Bennett, Derrick A

Quantifying risks and interventions that have affected the burden of diarrhoea among children younger than 5 years: an analysis of the Global Burden of Disease Study 2017

Troeger, C. E., Khalil, I. A., Blacker, B. F., Biehl, M. H., Albertson, S. B., Zimsen, S. R. M., Rao, P. C., Abate, D., Ahmadi, A., Ahmed, M. L. C. B., et al. (2020) · The Lancet Infectious Diseases

Child Nutrition and Water AccessViral gastroenteritis research and epidemiology

Cited by 210

Progressive resistance strength training for physical disability in older people

Latham, N. K., Anderson, C. S., Bennett, D. A., & Stretton, C. (2003) · The Cochrane Database of Systematic Reviews

Nutrition and Health in AgingBalance, Gait, and Falls Prevention

Cited by 207

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Deshpande, A., Miller-Petrie, M. K., Lindstedt, P. A., Baumann, M. M., Johnson, K. B., Blacker, B. F., Abbastabar, H., Abd-Allah, F., Abdelalim, A., Abdollahpour, I., et al. (2020) · The Lancet Global Health

Child Nutrition and Water AccessWater Resource Management and Quality

Cited by 187

Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study

Ramakrishnan, R., Doherty, A., Smith-Byrne, K., Rahimi, K., Bennett, D., Woodward, M., Walmsley, R., & Dwyer, T. (2021) · PLOS Medicine

Physical Activity and HealthCardiovascular and exercise physiology

Cited by 183

Breastfeeding and the Risk of Maternal Cardiovascular Disease: A Prospective Study of 300 000 Chinese Women

Peters, S. A. E., Yang, L., Guo, Y., Chen, Y., Bian, Z., Du, J., Yang, J., Li, S., Li, L., Woodward, M., et al. (2017) · Journal of the American Heart Association

Breastfeeding Practices and InfluencesCancer Risks and Factors

Cited by 118

Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study

James, S. L., Castle, C. D., Dingels, Z. V., Fox, J. T., Hamilton, E. B., Liu, Z., Roberts, N. L. S., Sylte, D. O., Bertolacci, G. J., Cunningham, M., et al. (2020) · Injury Prevention

Injury Epidemiology and PreventionTrauma and Emergency Care Studies

Cited by 113

Design, recruitment, and baseline characteristics of the EMPA-KIDNEY trial

The EMPA-KIDNEY Collaborative Group, Herrington, W. G., Wanner, C., Green, J. B., Hauske, S. J., Judge, P., Mayne, K. J., Ng, S. Y. A., Sammons, E., Zhu, D., et al. (2022) · Nephrology Dialysis Transplantation

Chronic Kidney Disease and DiabetesDiabetes Treatment and Management

Cited by 110

Homocysteine and vascular disease: review of published results of the homocysteine‐lowering trials

Clarke, R., Halsey, J., Bennett, D., & Lewington, S. (2011) · Journal of Inherited Metabolic Disease

Folate and B Vitamins ResearchNutritional Studies and Diet

Cited by 104

Effect of alcohol on risk of coronary heart disease and stroke: causality, bias, or a bit of both?

Emberson, J. R., & Bennett, D. A. (2006) · Vascular Health and Risk Management

Alcohol Consumption and Health EffectsSubstance Abuse Treatment and Outcomes

Cited by 99

Smoking and smoking cessation in relation to risk of diabetes in Chinese men and women: a 9-year prospective study of 0·5 million people

Liu, X., Bragg, F., Yang, L., Kartsonaki, C., Guo, Y., Du, H., Bian, Z., Chen, Y., Yu, C., Lv, J., et al. (2018) · The Lancet Public Health

Smoking Behavior and CessationDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 94

Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology

Bennett, D. A., Landry, D., Little, J., & Minelli, C. (2017) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyNutritional Studies and Diet

Cited by 85

Comparative studies of 2168 plasma proteins measured by two affinity-based platforms in 4000 Chinese adults

Wang, B., Pozarickij, A., Mazidi, M., Wright, N., Yao, P., Said, S., Iona, A., Kartsonaki, C., Fry, H., Lin, K., et al. (2025) · Nature Communications

Advanced Biosensing Techniques and ApplicationsGenetic Associations and Epidemiology

Cited by 64

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A. C., Maddison, K. J., Bucan, M., Gehrman, P., Rowlands, A., Ray, D. W., Bennett, D., et al. (2024) · npj Digital Medicine

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 40

Methodology of the Global and Regional Burden of Stroke Study

Bennett, D. (2012) · Neuroepidemiology

Acute Ischemic Stroke ManagementCardiovascular Health and Risk Factors

Cited by 39

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

Small, S. R., Chan, S., Walmsley, R., Fritsch, L. V., Acquah, A., Mertes, G., Feakins, B. G., Creagh, A., Strange, A., Matthews, C. E., et al. (2023) · medRxiv

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 22

Development and external validation of a breast cancer absolute risk prediction model in Chinese population

Han, Y., Lv, J., Yu, C., Guo, Y., Bian, Z., Hu, Y., Yang, L., Chen, Y., Du, H., Zhao, F., et al. (2021) · Breast Cancer Research

Cancer Risks and FactorsGlobal Cancer Incidence and Screening

Cited by 18

Ancestry diversity in the genetic determinants of the human plasma proteome enhances identification of potential drug targets

Pozarickij, A., Said, S., Lin, K., Morris, S., Edris, A., Iona, A., Kartsonaki, C., Wright, N., Yao, P., Fry, H., et al. (2023) · medRxiv

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 16

Reallocating time from device-measured sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular disease risk

Walmsley, R., Chan, S., Smith-Byrne, K., Ramakrishnan, R., Woodward, M., Rahimi, K., Dwyer, T., Bennett, D., & Doherty, A. (2020) · medRxiv

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 12

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A. C., Maddison, K. J., Bucan, M., Gehrman, P., Rowlands, A., Ray, D. W., Bennett, D., et al. (2023) · medRxiv

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 3

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Doherty, A., Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A., Maddison, K., Bucan, M., Gehrman, P., Rowlands, A., Ray, D., et al. (2023) · Research Square

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 0