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Public Health|October 9, 2022
An investigation of factors affecting changes in health behaviours during the COVID-19 pandemic in a UK population-based cohort studyV S Braithwaite, S J Sharp, A Koulman, et al.European Journal of Preventive Cardiology|July 26, 2014
Performance of the CHARGE-AF risk model for incident atrial fibrillation in the EPIC Norfolk cohortRoman Pfister, Johannes Brägelmann, Guido Michels, et al.International Journal of Obesity (2005)|May 23, 2017
Adiposity and grip strength as long-term predictors of objectively measured physical activity in 93 015 adults: the UK Biobank studyY Kim, T White, K Wijndaele, et al.BMC Veterinary Research|October 6, 2017
Sample size and number of outcome measures of veterinary randomised controlled trials of pharmaceutical interventions funded by different sources, a cross-sectional studyK J Wareham, R M Hyde, D Grindlay, et al.Thrombosis Research|August 15, 1996
Is platelet phospholipid-dependent thrombin generation altered by acute myocardial infarction or aspirin?S Rota, P D Flynn, N J Wareham, et al.Diabetologia|February 14, 2013
Change in HbA1c over 3 years does not improve the prediction of cardiovascular disease over and above HbA1c measured at a single time pointP Chamnan, R K Simmons, K T Khaw, et al.Diabetic Medicine : a Journal of the British Diabetic Association|April 5, 2003
Absolute level and rate of change of albuminuria over 1 year independently predict mortality and cardiovascular events in patients with diabetic nephropathyM F Yuyun, S F Dinneen, O M Edwards, et al.BMJ (Clinical Research Ed.)|April 27, 2010
Estimating the population impact of screening strategies for identifying and treating people at high risk of cardiovascular disease: modelling studyParinya Chamnan, Rebecca K Simmons, Kay-Tee Khaw, et al.Diabetologia|July 25, 2009
Cardiovascular risk assessment scores for people with diabetes: a systematic reviewP Chamnan, R K Simmons, S J Sharp, et al.Diabetic Medicine : a Journal of the British Diabetic Association|February 21, 2012
Estimating the potential population impact of stepwise screening strategies for identifying and treating individuals at high risk of Type 2 diabetes: a modelling studyP Chamnan, R K Simmons, K T Khaw, et al.Pageof 119