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Welcome to our news and blogs. Here you’ll find the latest developments and insights from across our four longitudinal studies.
The prevalence of serious mental health problems among 17-year-olds could drop by as much as 16.8% for girls and 8.4% for boys if they were not subjected to sexual violence, such as sexual assault and harassment, according to estimates from UCL researchers.
With many couples starting families later and a gradual shift in family size ideals, only child families are becoming or are expected to become more common, but many stereotypes remain around only children. Join us to learn more about whether only children are different or similar from children who grow up with siblings in terms […]
What can we learn from a quantitative analysis on ‘first in family’ university graduates in the UK in relation to labour market outcomes and widening participation in higher education? On 15 December we were joined by an audience of 100 for a discussion and presentation of findings from a research programme funded by the Nuffield […]
An in-person event / live broadcasted event to learn about the findings of an innovative cross-generation research project led by Professor Alice Sullivan and UCL colleagues. A recording will be available in early October. The project is funded by The Health Foundation.
As part of the 2018 Festival of Culture, Professor Alissa Goodman presented a session exploring the extent to which the language of 11-year-olds can foretell their future. The slides from this seminar are available on the event page.
As part of this year’s ESRC Festival of Social Science, this breakfast seminar presented the most recent findings on the state of mental health and wellbeing among two important generations of Britons: those born in 2000-01, and 1989-90.
As part of the UCL Festival of Culture, Professor Alice Sullivan drew on evidence from BCS70 to explore the positive influence of reading for pleasure on learning during the teenage years and into mid-life.
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Email: r.bradshaw@ucl.ac.uk
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Our bibliography is a searchable database of published work based on our cohort studies. Search by keyword, author, date range and journal.
Data from our studies are mainly available through the UK Data Service. We run training to support researchers who are interested in using our studies in their work.
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