Match!
Joshua A. Bell
University of Bristol
EndocrinologyCohort studyBody mass indexObesityMedicine
41Publications
15H-index
981Citations
What is this?
Publications 42
Newest
#1Joshua A. Bell (UoB: University of Bristol)H-Index: 15
#2Caroline J. Bull (UoB: University of Bristol)H-Index: 2
Last. Emma E. Vincent (UoB: University of Bristol)H-Index: 16
view all 8 authors...
OBJECTIVE: Type 2 diabetes develops for many years before diagnosis. We aimed to reveal early metabolic features characterizing liability to adult disease by examining genetic liability to adult type 2 diabetes in relation to metabolomic traits across early life. RESEARCH DESIGN AND METHODS: Up to 4,761 offspring from the Avon Longitudinal Study of Parents and Children were studied. Linear models were used to examine effects of a genetic risk score (162 variants) for adult type 2 diabetes on 229...
Source
#1Lucy J. Goudswaard (UoB: University of Bristol)H-Index: 1
#2Joshua A. Bell (UoB: University of Bristol)H-Index: 15
Last. Willem H. Ouwehand (University of Cambridge)H-Index: 92
view all 15 authors...
Background: Variation in adiposity is associated with cardiometabolic disease outcomes, but the mechanisms leading from this exposure to disease are unclear. This study aimed to estimate effects of adiposity, proxied by body mass index (BMI), on an extensive set of circulating proteins using both observational and genetically informed analyses. Methods and findings: We used proteomic data from up to 2,737 healthy participants from the INTERVAL study of UK blood donors. Associations between self-...
Source
#1Caroline J. Bull (UoB: University of Bristol)H-Index: 2
#2Joshua A. Bell (UoB: University of Bristol)H-Index: 15
Last. Stéphane BézieauH-Index: 32
view all 78 authors...
Importance: Evidence on adiposity altering colorectal cancer (CRC) risk differently among men and women, and on metabolic alterations mediating effects of adiposity on CRC, is unclear. Objective: To examine sex− and site−specific associations of adiposity with CRC risk, and whether adiposity−associated metabolites explain associations of adiposity with CRC. Design: Two−sample Mendelian randomization (MR) study. Setting: Genetic variants from expanded genome-wide association studies of body mass ...
Source
#1Joshua A. Bell (UoB: University of Bristol)H-Index: 15
#2Diana L. Santos Ferreira (UoB: University of Bristol)H-Index: 10
Last. Linda M. O’Keeffe (UoB: University of Bristol)H-Index: 8
view all 9 authors...
Background: Males experience higher rates of coronary heart disease (CHD) than females, but the circulating traits underpinning this difference are poorly understood. We examined sex differences in detailed cardiometabolic traits measured at four life stages, spanning childhood to middle adulthood. Methods and Results: Data were from the Avon Longitudinal Study of Parents and Children cohort study. 229 traits quantified from targeted metabolomics (nuclear magnetic resonance spectroscopy) includi...
Source
#1Ryan Arathimos (UoB: University of Bristol)H-Index: 6
#2Louise A C Millard (UoB: University of Bristol)H-Index: 7
Last. Matthew Suderman (UoB: University of Bristol)H-Index: 37
view all 5 authors...
BACKGROUND Sex hormone-binding globulin (SHBG) is a circulating glycoprotein and a regulator of sex hormone levels, which has been shown to influence various traits and diseases. The molecular nature of SHBG makes it a feasible target for preventative or therapeutic interventions. A systematic study of its effects across the human phenome may uncover novel associations. METHODS We used a Mendelian randomization phenome-wide association study (MR-pheWAS) approach to systematically appraise the po...
Source
#1Joshua A. Bell (UoB: University of Bristol)H-Index: 15
#2Caroline J. Bull (UoB: University of Bristol)H-Index: 2
Last. Emma E. Vincent (UoB: University of Bristol)H-Index: 16
view all 7 authors...
Background: Type 2 diabetes develops for many years before diagnosis. We aimed to reveal early metabolic features characterising liability to adult disease by examining genetic liability to adult type 2 diabetes in relation to detailed metabolic traits across early life. Methods and Findings: Data were from up to 4,761 offspring from the Avon Longitudinal Study of Parents and Children cohort. Linear models were used to examine effects of a genetic risk score (GRS, including 162 variants) for adu...
Source
#1Mark Hamer (UCL: University College London)H-Index: 73
#2Adrian Bauman (USYD: University of Sydney)H-Index: 105
Last. Emmanuel Stamatakis (USYD: University of Sydney)H-Index: 66
view all 4 authors...
Background: The purpose of a negative control is to reproduce a condition that cannot involve the hypothesized causal mechanism, but does involve the same sources of bias and confounding that may distort the primary association of interest. Observational studies suggest physical inactivity is a major risk factor for cardiovascular disease (CVD) although potential sources of bias, including reverse causation and residual confounding, make it difficult to infer causality. The aim was to employ a n...
1 CitationsSource
#1William Johnson (Lboro: Loughborough University)H-Index: 19
#2Joshua A. Bell (UoB: University of Bristol)H-Index: 15
Last. Mark Hamer (Lboro: Loughborough University)H-Index: 73
view all 6 authors...
To describe 20-year risk factor trajectories according to initial weight/health status and investigate the extent to which baseline differences explain greater mortality among metabolically healthy obese (MHO) individuals than healthy non-obese individuals. The sample comprised 6529 participants in the Whitehall II study who were measured serially between 1991–1994 and 2012–2013. Baseline weight (non-obese or obese; body mass index (BMI) ≥30 kg/m2) and health status (healthy or unhealthy; two or...
4 CitationsSource
#1Linda M. O’Keeffe (UoB: University of Bristol)H-Index: 8
#2Monika Frysz (UoB: University of Bristol)H-Index: 4
Last. Abigail Fraser (UoB: University of Bristol)H-Index: 52
view all 5 authors...
Objective: To better understand if earlier puberty is more likely a result of adiposity gain in childhood than a cause of adiposity gain in adulthood. Design: Prospective birth cohort study. Setting: Population based study of children born in 1991/1992 in Bristol UK (Avon Longitudinal Study of Parents and Children (ALSPAC)). Participants: 4,186 participants (2,176 female and 1,990 male) of predominantly White ethnicity with 18,232 repeated measures throughout follow-up. Exposures & outcomes: Rep...
1 CitationsSource
#1Joshua A. Bell (UoB: University of Bristol)H-Index: 15
#2David Carslake (UoB: University of Bristol)H-Index: 10
Last. George Davey-SmithH-Index: 194
view all 9 authors...
Abstract Background Body mass index (BMI) is criticized for not distinguishing fat from lean mass and ignoring fat distribution, leaving its ability to detect health effects unclear. Objectives The aim of this study was to compare BMI with total and regional fat indexes from dual-energy x-ray absorptiometry in their associations with cardiometabolic traits. Duration of exposure to and change in each index across adolescence were examined in relation to detailed traits in young adulthood. Methods...
6 CitationsSource
12345