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David Bann
Institute of Education
Socioeconomic statusDemographyCohort studyMedicineGerontology
46Publications
13H-index
549Citations
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Publications 54
Newest
#1Olympia Campbell (UCL: University College London)
#2David Bann (UCL: University College London)H-Index: 13
Last. Praveetha Patalay (UCL: University College London)H-Index: 13
view all 3 authors...
Mental ill-health is a leading cause of disease burden worldwide. While women suffer from greater levels of mental health disorders, it remains unclear whether this gender gap differs systematically across regions and/or countries, or across the different dimensions of mental health. We analysed 2018 data from 566,827 adolescents across 73 countries for 4 mental health outcomes: psychological distress, life satisfaction, eudaemonia, and hedonia. We examine average gender differences and distribu...
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#1D. Gondek (UCL: University College London)
#1Dawid Gondek (IOE: Institute of Education)
Last. George B. PloubidisH-Index: 26
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Objectives We sought to: (1) estimate the prevalence of multimorbidity at age 46-48 in the 1970 British Cohort Study - a nationally representative sample in mid-life; and (2) examine the association between early-life characteristics and mid-life multimorbidity in the 1970 British Cohort Study. Design Prospective longitudinal birth cohort. Setting A community based sample from the 1970 British Cohort Study (BCS70). Participants All surviving children born in mainland Britain in a single week in ...
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#1William Johnson (Lboro: Loughborough University)H-Index: 18
#1William D. JohnsonH-Index: 46
Last. Rebecca HardyH-Index: 2
view all 7 authors...
Objective: Weight can be adjusted for height using the Benn parameter (kg/mB), where B is the power that minimises the correlation with height. We investigated how the Benn parameter changes across age (10-65 years) and time (1956 to 2015) and differs between sexes. Methods: The sample comprised 49,717 individuals born in 1946, 1958, 1970, or 2001. Cross-sectional estimates of the Benn parameter were produced and cohort differences at ages 10/11 and 42/43 years were examined using linear regress...
1 CitationsSource
#1Meg E Fluharty (UCL: University College London)
#2Rebecca HardyH-Index: 72
Last. David BannH-Index: 13
view all 5 authors...
Introduction: Disadvantaged socioeconomic position (SEP) in early and adult life has been repeatedly associated with premature mortality. However, it is unclear whether these inequalities differ across time, nor if they are consistent across different SEP indicators. Methods: British birth cohorts born in 1946, 1958 and 1970 were used, and multiple SEP indicators in early and adult life were examined. Deaths were identified via national statistics or notifications. Cox proportional hazard models...
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#1G. David Batty (UCL: University College London)H-Index: 66
#2Ian J. Deary (Edin.: University of Edinburgh)H-Index: 128
Last. David Bann (IOE: Institute of Education)H-Index: 13
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Importance Poorer performance on standard tests of motor coordination in children has emerging links with sedentary behavior, obesity, and functional capacity in later life. These observations are suggestive of an untested association of coordination with health outcomes, including mortality. Objective To examine the association of performance on a series of psychomotor coordination tests in childhood with mortality up to 6 decades later. Design, Setting, and Participants The British National Ch...
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#1Silvia Costa (Lboro: Loughborough University)H-Index: 7
#2David Bann (UCL: University College London)H-Index: 13
Last. William Johnson (Lboro: Loughborough University)H-Index: 18
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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...
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#1Ozan Aksoy (UCL: University College London)H-Index: 1
#2David Bann (UCL: University College London)H-Index: 13
Last. Alita Nandi (University of Essex)H-Index: 9
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Objectives: To examine the associations between religious affiliation, religious service attendance, subjective religious beliefs and mental wellbeing among the religiously unaffiliated, Christians, Muslims, and members of other minority religions in the UK using a longitudinal design. Methods: We used data from four waves (2009-2013) of the UK Understanding Society, a longitudinal household panel survey with over 70,000 individuals in 30,000 households which included 4,000 households from an Et...
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#1Tom Norris (Lboro: Loughborough University)H-Index: 5
#2David Bann (IOE: Institute of Education)H-Index: 13
Last. William Johnson (Lboro: Loughborough University)H-Index: 18
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...
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#1Meg E Fluharty (UCL: University College London)
#2Snehal M. Pinto Pereira (UCL: University College London)H-Index: 12
Last. David Bann (UCL: University College London)H-Index: 13
view all 8 authors...
Objectives To assess whether educational differentials in three key physical activity (PA) domains vary by age, sex and ethnicity. Design National cross-sectional survey. Setting UK. Participants Altogether 40 270 participants, aged 20 years and over, from the UK Household Longitudinal Study with information on education, PA and demographics collected in 2013–2015. Outcome measures Participation in active travel (AT), occupational activity (OA) and leisure time physical activity (LTPA) at the ti...
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#1David Bann (IOE: Institute of Education)H-Index: 13
#2Shaun Scholes (UCL: University College London)H-Index: 16
Last. Nikki Shure (IOE: Institute of Education)H-Index: 3
view all 4 authors...
Despite global concerns regarding physical inactivity, limited cross-national evidence exists to compare adolescents’ physical activity participation. We analysed data from 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. We compared adol...
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