Sociogenomic aspects and social dynamics in sleep behaviours and night shift work
29 May 2024, 1:00 pm–2:00 pm
Join this event to hear Evelina Akimova discuss whether genetic propensity for eveningness protects night workers against sleep penalties.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Tobias Ruttenauer
Location
-
Room G0555-59 Gordon SquareLondonWC1H 0NU
Night shift employees represent up to one-quarter of working populations, and increasing evidence shows that night shift work is a risk factor for various health conditions.
Prolonged circadian disruption is one mechanism driving adverse effects. Individual differences in chronotypes, however, introduce differences in their abilities to adapt and tolerate shift schedules.
Using data from the UK Biobank and multiple genetic, self-reported and accelerometer measures, Evelina will discuss evidence of the protective effect of a genetic propensity for eveningness, strongest for those working longer night shifts.
The seminar will also cover how social and environmental factors interact with night shift work that impacts sleep health by applying the stress process model as a theoretical framework.
This event will be particularly useful for those interested in molecular genetics, social science genomics, and health inequalities.
Please note this is a hybrid event and can be joined either in-person or online.
Related links
About the Speaker
Dr Evelina Akimova
Evelina Akimova is an incoming Assistant Professor in Sociology at Purdue University, a Postdoctoral Researcher in Biosocial Research at the Leverhulme Centre for Demographic Science and a Non-Stipendiary Research Fellow at Nuffield College.
Her main research areas are health inequalities, chronotype, and wellbeing, where she uses methods from computational social science and statistical genetics. Her current research focuses on the use of molecular genetics, survey, and accelerometer data to understand the complex interplay between chronotype and labor market decisions, trajectories, and experiences.