Follow RESTED’s progress
01
/03
Focus groups
We are interested in people’s insights about their own body clocks, sleep and mental health experiences.
02
/03
Longitudinal links
We are studying the bi-directional links between depersonalisation-derealisation and other mental health symptoms, sleep and cardiac measures during adolescence and young adulthood to better understand their relationship.
ALSPAC dataset
We are analysing the Avon Longitudinal Study of Parents and Children (ALSPAC), otherwise known as the “children of the 90s” dataset.
Tracking study
We are collecting new data on mental wellbeing, sleep and heart rate from young adults over the course of four weeks.
03
/03
Modelling links
We are modelling the links between sleep, cardiac measures and mental health to understand which parameters carry the most weight in their relationships.
Mathematical models
For both ALSPAC data (sampled every few years) and the data from our tracking study (sampled every day), we are modelling the bi-directional links from sleep and heart rate to wellbeing and from wellbeing to sleep and heart rate at different granularities (years in ALSPAC and days in tracking).
Sleep phase detection
We will use machine learning algorithms to work out sleep stages (e.g., deep sleep, rapid eye movement sleep) from a combination of actigraphy (movement detected by health trackers) and heart rate data. To ensure maximim accuracy, we will train our algorithm against data obtained at our Essex Sleep Lab.