Martin J. Shipley
University College London
Publications 518
#1Crystal Man Ying Lee (USYD: University of Sydney)H-Index: 25
#2Mark Woodward (Johns Hopkins University)H-Index: 115
Last.Rachel Huxley (Deakin University)H-Index: 1
view all 46 authors...
#1Piotr Bandosz (Gdańsk Medical University)H-Index: 16
#2Sara Ahmadi-Abhari (UCL: University College London)H-Index: 13
Last.Martin O'Flaherty (University of Liverpool)H-Index: 37
view all 10 authors...
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.
#1Mika Kivimaeki (UCL: University College London)H-Index: 122
#2G. David Batty (UCL: University College London)H-Index: 66
Last.Marianna Virtanen (University of Eastern Finland)H-Index: 61
view all 16 authors...
Summary Background Socioeconomic disadvantage is a risk factor for many diseases. We characterised cascades of these conditions by using a data-driven approach to examine the association between socioeconomic status and temporal sequences in the development of 56 common diseases and health conditions. Methods In this multi-cohort study, we used data from two Finnish prospective cohort studies: the Health and Social Support study and the Finnish Public Sector study. Our pooled prospective primary...
1 CitationsSource
#1Jessica E. Laine (Imperial College London)H-Index: 6
#2Valéria Troncoso Baltar (Federal Fluminense University)H-Index: 7
Last.Peter VollenweiderH-Index: 89
view all 71 authors...
1 CitationsSource
#2Mika Kivimaeki (UCL: University College London)H-Index: 122
Last.Nicholas J. Wareham (University of Cambridge)H-Index: 169
view all 21 authors...
Proteins are effector molecules that mediate the functions of genes1,2 and modulate comorbidities3–10, behaviors and drug treatments11. They represent an enormous potential resource for personalized, systemic and data-driven diagnosis, prevention, monitoring and treatment. However, the concept of using plasma proteins for individualized health assessment across many health conditions simultaneously has not been tested. Here, we show that plasma protein expression patterns strongly encode for mul...
1 CitationsSource
#1Marzieh Araghi (UCL: University College London)
#2Martin J. Shipley (UCL: University College London)H-Index: 101
Last.Eric J. Brunner (UCL: University College London)H-Index: 89
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Aortic stiffness is associated with an increased risk of cardio- and cerebrovascular disease and mortality and may increase risk of dementia. The aim of the present study is to examine the association between arterial stiffness and cognitive decline in a large prospective cohort study with three repeated cognitive assessment over 7 years of follow-up. Aortic pulse wave velocity (PWV) was measured among 4300 participants (mean ± standard deviation age 65.1 ± 5.2 years) in 2007–2009 and categorize...
#1Dusan PetrovicH-Index: 4
#2José Haba-Rubio (UNIL: University of Lausanne)H-Index: 22
Last.Rosario TuminoH-Index: 99
view all 63 authors...
#1Anika KnüppelH-Index: 2
#2Martin J. ShipleyH-Index: 101
Last.Eric J. BrunnerH-Index: 89
view all 4 authors...
#1Brendan Collins (University of Liverpool)H-Index: 6
#2Piotr Bandosz (Gdańsk Medical University)H-Index: 16
Last.Martin O'Flaherty (University of Liverpool)H-Index: 37
view all 13 authors...
Abstract Background Dementia and cardiovascular disease generate enormous health and social-care costs and have shared risk factors. Following decades of cardiovascular disease mortality declines in England, improvements slowed after 2011. We investigated the potential economic implications of this slowdown. Methods We used the IMPACT better aging model—an open-cohort, stochastic Markov model. We synthesised trends in cardiovascular disease incidence and mortality, dementia, and disability (defi...
#1Masaki Okamoto (UCL: University College London)H-Index: 1
#2Martin J. Shipley (UCL: University College London)H-Index: 101
Last.Eric J. Brunner (UCL: University College London)H-Index: 89
view all 8 authors...
The Whitehall II study is supported by the British Heart Foundation (RG/16/11/32334), UK Medical Research Council (K013351) and US National Institute on Aging (R01AG013196; R01AG034454; R01AG056477). M. Kivimaki is additionally supported by the UK Medical Research Council (S011676), NordForsk (the Nordic Research Programme on Health and Welfare), the Academy of Finland (311492), and Helsinki Institute of Life Science
1 CitationsSource