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Abstract Introduction New digital tools constitute an opportunity in understanding the interactions between sleep health and mental health. Structural equation analysis applied to these e-cohort allows to study the bidirectional associations between these dimensions. Thus, we aimed to study the reciprocal interactions between behaviors (duration, temporality, regularity) and sleep health (insomnia and somnolence) and mental health (anxiety and depression). Methods Digital cohort of 3000 participants invited to complete weekly self-questionnaires over 17 days on their sleep health (Epworth and ISI), their mental health (PHQ-9 and PHQ-2) as well as sleep diaries which made it possible to calculate their sleep behaviors (duration, median, and regularity index). The interaction analysis used a longitudinal structure equation model. Results The average age of the participants was 51 years (68% women). The average sleep duration was 7h24, the median sleep time was 3h30 in the morning, the regularity index was 84/100. Among them, 57% reported insomnia (ISI≥15), 41% reported drowsiness (ESS≥11), 19% reported anxiety (PHQ-2≥3) and 18% reported depression (PHQ-9≥15). Sleep behaviors were associated with sleep health and mental health cross-sectionally. Longitudinal structural equation modeling shows bidirectional associations between sleep health behaviors and mental health. Conclusion The demonstration of these reciprocal interactions confirms the importance of the joint assessment and management of sleep and mental health behaviors and health in digital interventions aimed at modifying them. New interventional studies are awaited to confirm these results in the general population but also in subgroups of individuals at risk. Support (if any)
Julien et al. (Sat,) studied this question.