Chronotype, health and family: The role of biology, socio- and natural environment and their interaction
Description: The widespread use of electronic devices, artificial light and rise of the 24-hour economy means that more individuals experience disruption of their chronotype, which is the natural circadian rhythm that regulates sleep and activity levels. The natural and medical sciences focus on the natural environment (e.g., light exposure), genetics, biology and health consequences, whereas the social sciences have largely explored the socio-environment (e.g., working regulations) and psychological and familial consequences of nonstandard work schedules. For the first time CHRONO bridges these disparate disciplines to ask: What is the role of biology, the natural and socio-environment and their interaction on predicting and understanding resilience to chronotype disruption and how does this in turn impact an individual’s health (sleep, cancer, obesity, digestive problems) and family (partnership, children) outcomes? I propose to: (1) develop a multifactor interdisciplinary theoretical model; (2) disrupt data collection by crowdsourcing a sociogenomic dataset with novel measures; (3) discover and validate with informed machine learning innovative measures of chronotype (molecular genetic, accelerometer, microbiome, patient-record, self-reported) and the natural and socio-environment; (4) ask fundamentally new substantive questions to determine how chronotype disruption influences health and family outcomes and, via Biology x Environment interaction (BxE), whether this is moderated by the natural or socio-environment; and, (5) develop new statistical models and methods to cope with contentious issues, answer longitudinal questions and engage in novel quasi-experiments (e.g., policy and life course changes) to transcend description to identify endogenous factors and causal mechanisms. Interdisciplinary in the truest sense, CHRONO will overturn long-held substantive findings of the causes and consequences of chronotype disruption.
Funder: H2020 European Research Council
Amount: €2,500,000
Funding type: fellowship
Funder scheme: ERC-ADG
Start date: 2019-11-01
End date: 2025-10-31
Institution: THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Funded outputs count: 26
Funder award ID: 835079
OpenAlex ID: G5519697669