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YouthLife Open Seminar: Studying the links between life transitions, SES and health behaviours using LIFELINES data (Seminars and lectures)

YouthLife Open Seminar: Studying the links between life transitions, SES and health behaviours using LIFELINES data

Prof Aart C. Liefbroer and Lluís Mangot-Sala from the Netherlands Interdisciplinary Demographic Institute (NIDI) will present their work on studying the links between life transitions, socio-economic status and health behaviours using LIFELINES data.

This event is part of the ‘YouthLife’ project that CPC member Professor Ann Berrington is collaborating on. The project is led by Professor Ros Edwards and is part of a European Union Twinning initiative to support the development of research methods expertise at the University of Tallinn, Estonia.

In the next open seminar of the TLU Centre of Excellence in Interdisciplinary Life-course Studies, Prof Aart C. Liefbroer and Lluís Mangot-Sala from the Netherlands Interdisciplinary Demographic Institute (NIDI) will present their work on studying the links between life transitions, socio-economic status and health behaviours using LIFELINES data. First, Aart Liefbroer will introduce the LIFELINES cohort study, that is conducted at the University of Groningen and allows for a wealth of information on changes in health and it determinants and consequences. Apart from the regular flow of data collection over a period already extending more than 10 years, a special series of panel waves have been conducted since the COVID pandemic, making this data sources extremely interesting to study developments in health in general, and during the pandemic in particular. Next, Lluís Mangot-Sala will present some of his ongoing work. In particular, he is going to present results from two different studies that aim at answering different questions within the life-course perspective. First, he will discuss how to disentangle the reciprocal association between unemployment and alcohol consumption using panel data. He will show how the combination of structural equation modelling with fixed effects models can give insights into this reciprocal association. In addition, he will present results on changes in alcohol consumption during the COVID pandemic and the extent to which household types buffered the impact of the COVID lockdown on alcohol consumption of the observed population.