Our studies
Welcome to our news and blogs section. Here you’ll find the latest developments and insights from across our longitudinal studies.
UCL and the University of Bristol are to lead the Population Research UK (PRUK) co-ordination hub, part of an existing strategic investment from the UKRI Infrastructure Fund.
Generation Z children born into the poorest fifth of families in the UK are 12 times more likely to experience a raft of poor health and educational outcomes by the age of 17 compared to more affluent peers, finds a new report led by UCL researchers.
This short webinar gives first-time users and researchers less familiar with the Millennium Cohort Study (MCS) an insight into this unique longitudinal cohort dataset born at the turn of the century.
View this webinar to learn why principled methods of missing data handling are usually required to obtain unbiased estimates in long-running cohort studies, learn how to undertake such analyses, and observe a demonstration of how to do so in practice using Stata, with a focus on multiple imputation.
Mental health problems like anxiety and depression were more common among younger generations before the COVID-19 outbreak — but the gap between young and old became even wider during the pandemic, according to new research based on five UK longitudinal studies.
Researchers tracking the experiences of young people born at the turn of the century can now explore a wider range of research questions related to health care and treatment in hospitals, thanks to a new data linkage between NHS Digital and the Millennium Cohort Study (MCS).
In June 2023 we celebrated 21 years of the Millennium Cohort Study (MCS) and other longitudinal studies with a scientific conference in London. The programme featured an exciting line up of around 75 inter-disciplinary presentations and a very special panel discussion with members of the cohort.
Several administrative health datasets have been linked to the CLS cohort studies survey data, opening up new possibilities for health researchers. In this webinar we focus on Hospital Episode Statistics (HES): what’s included in the linked datasets, how to access them and how to analyse the data.
This webinar gives first-time users an insight into four internationally-renowned cohort studies run by the Centre for Longitudinal Studies (CLS).
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.
Breastfeeding matters for children’s cognitive development, but disadvantaged mothers who give birth at the weekend are less likely to breastfeed, owing to poorer breastfeeding support in hospitals, finds a new UCL study.
Inequalities in the early cognitive, social and emotional development of children in the UK, which are so important in shaping later life outcomes, have changed little between those born in the early 2000s and those born in the early 2010s. Researchers from the UCL Centre for Longitudinal Studies (CLS) and the Institute for Fiscal Studies […]
This short webinar gives first-time users and researchers less familiar with the Millennium Cohort Study an insight into this unique longitudinal cohort dataset born at the turn of the century. This session describes the study aims, content and design as well as offering a helpful look at some of the types of research that can […]
Ryan Bradshaw
Senior Communications Officer
Phone: 020 7612 6516
Email: r.bradshaw@ucl.ac.uk
Find the latest developments and insights from across all our longitudinal studies.
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.
Centre for Longitudinal Studies
UCL Social Research Institute
20 Bedford Way
London WC1H 0AL
Email: clsdata@ucl.ac.uk
