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David Bann
Institute of Education
40Publications
11H-index
461Citations
Publications 40
Newest
#1Tayla McCloud (UCL: University College London)H-Index: 1
#2David Bann (IOE: Institute of Education)H-Index: 11
Introduction In the United Kingdom and many other countries, debt accrued during higher education has increased substantially in recent decades. The prevalence of common mental health problems has also increased alongside these changes. However, it is as yet unclear whether there is an association between financial stress and mental health among higher education students. Methods We conducted a rapid review of the peer-reviewed scientific literature. Eligible studies were English-language public...
#1G. David Batty (UCL: University College London)H-Index: 67
#2Ian J. Deary (Edin.: University of Edinburgh)H-Index: 121
Last.David Bann (UCL: University College London)H-Index: 11
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Background: Poorer performance on standard tests of motor coordination in children has emerging links with sedentary behaviour, obesity, and functional capacity in later life. These observations are suggestive of an as-yet untested association of coordination with health outcomes. Objective: To examine the association of performance on a series of psychomotor coordination tests in childhood with mortality up to six decades later. Design, Setting, and Participants: The National Child Development ...
#1Silvia Costa (Lboro: Loughborough University)H-Index: 6
#2David Bann (UCL: University College London)H-Index: 11
Last.William Johnson (Lboro: Loughborough University)H-Index: 16
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Background: Attending childcare is related to greater childhood obesity risk, but there are few long-term follow-up studies. We aimed to examine the associations of childcare type, duration, and intensity with BMI trajectories from ages 10-42 years. Methods: The sample comprised 8234 individuals in the 1970 British Cohort Study, who had data on childcare attendance (no, yes), type (formal, informal), duration (4-5, 3-3.99, 0-2.99 years old when started), and intensity (1, 2, 3, 4-5 days/week) re...
#1Tom Norris (Lboro: Loughborough University)H-Index: 4
#2David Bann (IOE: Institute of Education)H-Index: 11
Last.William Johnson (Lboro: Loughborough University)H-Index: 16
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In the original Article, the author names were stated backwards (“Norris Tom” instead of Tom Norris, “Bann David” instead of David Bann and so on). This has been corrected in the HTML and PDF versions of this Article.
#1Meg E Fluharty (UCL: University College London)
#2Snehal Pinto Perira (UCL: University College London)
Last.David Bann (UCL: University College London)H-Index: 11
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Background: The prevalence of overall physical inactivity remains high, particularly amongst socioeconomically disadvantaged groups. It is unclear however if such inequalities vary systematically by age, sex, or ethnicity, and if there are differing effects across physical activity (PA) domains. Methods: We used data from a nationally representative survey of the UK, Understanding Society, with information on educational attainment (our indicator of socioeconomic position), PA and demographics c...
#1Tom NorrisH-Index: 4
#2David BannH-Index: 11
Last.William JohnsonH-Index: 16
view all 4 authors...
Body mass index (BMI) tracks from childhood-to-adulthood, but the extent to which this relationship varies across the distribution and according to socio-economic position (SEP) is unknown. We aimed to address this using data from three British cohort studies. We used data from: 1946 National Survey of Health and Development (NSHD, n = 2470); 1958 National Child Development Study (NCDS, n = 7747); 1970 British Cohort Study (BCS, n = 5323). BMI tracking between 11 and 42 years was estimated using...
#1David Bann (IOE: Institute of Education)H-Index: 11
#2Emla Fitzsimons (IOE: Institute of Education)H-Index: 16
Last.William Johnson (Lboro: Loughborough University)H-Index: 16
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Most epidemiological studies examine how risk factors relate to average difference in outcomes (linear regression) or odds a binary outcome (logistic regression); they do not explicitly examine whether risk factors are associated differentially across the distribution of the health outcome investigated. This paper documents a phenomenon found repeatedly in the minority of epidemiological studies which do this (via quantile regression) - associations between a range of established risk factors an...
#1Shaun Scholes (UCL: University College London)H-Index: 14
#2David Bann (IOE: Institute of Education)H-Index: 11
Background Understanding socioeconomic disparities in physical activity is important, given its contribution to overall population-wide health and to health disparities. Existing studies examining trends in these disparities have focused exclusively on physical activity during leisure-time and have not investigated the potential moderators of socioeconomic disparities in physical activity. Using self-reported data from the US National Health and Nutrition Examination Survey (NHANES) 2007 to 2016...
#1David Bann (IOE: Institute of Education)H-Index: 11
#2Shaun Scholes (UCL: University College London)H-Index: 14
Last.Nikki Shure (IOE: Institute of Education)H-Index: 2
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Introduction: Despite global concerns regarding physical inactivity, limited cross-national evidence exists to compare physical activity participation in adolescence. We analysed 52 high- and low-middle income countries, with activity undertaken inside and outside of school in 2015. We investigated gender- and socioeconomic-disparities, and additionally examined correlations with country-level indices of physical education (PE) curriculum time allocation, wealth, and income inequality. Methods: ...
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