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Thomas Yates
University of Leicester
201Publications
32H-index
4,868Citations
Publications 201
Newest
#1Yogini V. Chudasama (NIHR: National Institute for Health Research)H-Index: 4
#2Kamlesh Khunti (NIHR: National Institute for Health Research)H-Index: 66
Last.Nafeesa N. Dhalwani (NIHR: National Institute for Health Research)H-Index: 7
view all 8 authors...
Multimorbidity is an emerging public health priority. Physical activity (PA) is recommended as one of the main lifestyle behaviours, yet the benefits of PA for people with multimorbidity are unclear. We assessed the benefits of PA on mortality and life expectancy in people with and without multimorbidity. Using the UK Biobank dataset, we extracted data on 36 chronic conditions and defined multimorbidity as (a) 2 or more conditions, (b) 2 or more conditions combined with self-reported overall hea...
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#1Gregory J. H. Biddle (University of Leicester)H-Index: 1
#2Charlotte L. Edwardson (University of Leicester)H-Index: 25
Last.Thomas Yates (University of Leicester)H-Index: 32
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Self-reported data have consistently shown South Asians (SAs) to be less physically active than White Europeans (WEs) in developed countries, however objective data is lacking. Differences in sedentary time have not been elucidated in this population. This study aimed to quantify differences in objectively measured physical activity and sedentary behaviour between WEs and SAs recruited from primary care and to investigate differences in demographic and lifestyle correlates of these behaviours. B...
1 CitationsSource
#1Trish GorelyH-Index: 39
#2Deirdre M. Harrington (Leicester General Hospital)
Last.Charlotte L. Edwardson (Leicester General Hospital)H-Index: 25
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Girls Active is a physical activity programme, delivered in UK secondary schools, with the aim of increasing moderate-to-vigorous physical activity (MVPA) in girls aged 11–14 years. This study presents the process evaluation as part of a 14-month cluster randomised controlled trial designed to evaluate the effectiveness of the Girls Active programme and which showed no difference in the primary outcome (MVPA at 14 months) between intervention and control arms. Quantitative and qualitative data w...
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AbstractPurposeThe physical activity profile can be described from accelerometer data using two population- independent metrics: average acceleration (ACC, volume) and intensity gradient (IG, intensity). This paper aims to: 1) demonstrate how these metrics can be used to investigate the relative con
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#2Evgeny M. MirkesH-Index: 7
Last.Alex V. RowlandsH-Index: 22
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Few methods for classifying physical activity from accelerometer data have been tested using an independent dataset for cross-validation, and even fewer using multiple independent datasets. The aim of this study was to evaluate whether unsupervised machine learning was a viable approach for the development of a reusable clustering model that was generalisable to independent datasets. We used two labelled adult laboratory datasets to generate a k-means clustering model. To assess its generalised ...
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#1Paddy C. DempseyH-Index: 13
#2Charles E. MatthewsH-Index: 53
Last.Brigid M. LynchH-Index: 30
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This work was supported by the UK Medical Research Council [grant number MC_UU_12015/3 and MC_UU_12015/1]. PCD and DWD are supported by National Health and Medical Research Council of Australia (NHMRC) Fellowships (#1142685 and #1078360). E.H. van Roekel was financially supported by Wereld Kanker Onderzoek Fonds (WKOF), as part of the World Cancer Research Fund International grant programme (grant number 2016/1620). BL is supported by a Mid-Career Research Fellowship from the Victorian Cancer Ag...
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#1Yogini V. Chudasama (NIHR: National Institute for Health Research)H-Index: 4
#2Francesco Zaccardi (Leicester General Hospital)H-Index: 24
Last.Kamlesh Khunti (NIHR: National Institute for Health Research)H-Index: 66
view all 8 authors...
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#1Alex V. Rowlands (University of Leicester)H-Index: 22
#2Lauren B. Sherar (Lboro: Loughborough University)H-Index: 21
Last.Victoria H. Stiles (University of Exeter)H-Index: 10
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Abstract Objectives Our aim is to demonstrate how a data-driven accelerometer metric, the acceleration above which a person’s most active minutes are accumulated, can (a) quantify the prevalence of meeting current physical activity guidelines for global surveillance and (b) moving forward, could inform accelerometer-driven physical activity guidelines. Unlike cut-point methods, the metric is population-independent (e.g. age) and potentially comparable across datasets. Design Cross-sectional, sec...
2 CitationsSource
#1Scott A. Willis (Lboro: Loughborough University)H-Index: 1
#2Jack A. Sargeant (Lboro: Loughborough University)H-Index: 4
Last.James A. King (Lboro: Loughborough University)H-Index: 16
view all 7 authors...
Fibroblast growth factor 21 (FGF21), follistatin and leukocyte cell-derived chemotaxin 2 (LECT2) are novel hepatokines that are modulated by metabolic stresses. This study investigated whether exer...
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#1Thomas Yates (University of Leicester)H-Index: 32
#2Laura J. Gray (University of Leicester)H-Index: 63
Last.Melanie J. Davies (University of Leicester)H-Index: 82
view all 6 authors...
OBJECTIVE The impact of major affective disorders on the effectiveness of diabetes prevention programs at promoting health behaviors has not been established. We investigated whether depression modifies the effectiveness of two pragmatic diabetes prevention programs at promoting increased physical activity. RESEARCH DESIGN AND METHODS This study pooled data from two cluster randomized controlled trials (Walking Away from Type 2 Diabetes and Let’s Prevent Type 2 Diabetes) that included individual...
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