COVID-19
Welcome to our news and blogs. Here you’ll find the latest developments and insights from across our four longitudinal studies.
It was exciting to be invited earlier this week to the launch of Shaping Us, the new Royal Foundation Centre for Early Childhood campaign to raise awareness of how important the early years are for shaping the adults we become. At the launch, the Princess of Wales showed her obvious passion for and commitment to […]
Join George Ploubidis for this Professorial Lecture which explores findings from across several generations suggesting how to delay the onset of chronic illness and promote health and wellbeing.
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. This session gives an overview of the study aims, content and design as well as examples of recent research using the MCS.
This training webinar gives first-time users and researchers less familiar with Next Steps an insight into this unique cohort of ‘millennials’ in England.
People with greater genetic risk of weight gain and those from disadvantaged backgrounds are more likely to be overweight or obese across adulthood, with associations becoming larger from adolescence to midlife, finds a new study led by researchers from the UCL Centre for Longitudinal Studies.
This training webinar gives first-time users and researchers less familiar with Next Steps an insight into this unique cohort of ‘millennials’ in England. It includes an introduction to the study aims, content and design as well as a helpful look at some of the types of research that can be conducted using the study
The onset of menopause before age 45 reduces months spent in work by 9% – around 4 months’ employment – for women during their early 50s, finds new research by the UCL Social Research Institute.
Differences in birth weight and pregnancy term between medically assisted reproduction and naturally conceived children become insignificant once family circumstances are considered, according to new research by the UCL Centre for Longitudinal Studies and the University of Utah.
This project aims to examine the relationship between people’s physical and mental health and their educational and employment prospects, both across the lifecourse and between generations using data from five longitudinal studies.
? This webinar gives first-time users an insight into four internationally-renowned cohort studies run by the Centre for Longitudinal Studies (CLS). Resources (all PDF slides opens in a new window): Part 1 – Introduction Part 2 – Content by ‘subject area’ Part 3 – Overview of the type of analysis Part 4 – Getting started […]
A new study, based on longitudinal data, has found that people who had higher pre-pandemic levels of depression or anxiety have been more severely affected by disruption to jobs and healthcare during the pandemic.
Researchers from around the world have been using CLS study data to tackle important questions. Here is a round-up of nearly 100 new pieces of research that we’ve added to the CLS bibliography between April and June 2021.
More than one in three British adults are suffering from two or more chronic health conditions in middle age, such as recurrent back problems, mental ill-health, high blood pressure, diabetes, and high-risk drinking, according to UCL researchers.
Ryan Bradshaw
Senior Communications Officer
Phone: 020 7612 6516
Email: r.bradshaw@ucl.ac.uk
The #IOELectures series this 24 May 2023 hosts CLS's @GeorgePloubidis for a hybrid Professorial Lecture - Healthy l… https://t.co/b1MNT9hrAF
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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.
Centre for Longitudinal Studies
UCL Social Research Institute
20 Bedford Way
London WC1H 0AL
Email: clsfeedback@ucl.ac.uk
