Hickman, Robert, D’Oliveira, Teresa C., Davies, Ashleigh, Shergill, Sukhi S. (2024) Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review. Sensors, 24 (14). Article Number 4701. E-ISSN 1424-8220. (doi:10.3390/s24144701) (KAR id:106741)
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Official URL: https://doi.org/10.3390/s24144701 |
Abstract
Background: Sleep and affective states are closely intertwined. Nevertheless, previous methods to evaluate sleep-affect associations have been limited by poor ecological validity, with a few studies examining temporal or dynamic interactions in naturalistic settings. Objectives: First, to update and integrate evidence from studies investigating the reciprocal relationship between daily sleep and affective phenomena (mood, affect, and emotions) through ambulatory and prospective monitoring. Second, to evaluate differential patterns based on age, affective disorder diagnosis (bipolar, depression, and anxiety), and shift work patterns on day-to-day sleep-emotion dyads. Third, to summarise the use of wearables, actigraphy, and digital tools in assessing longitudinal sleep-affect associations.
Method: A comprehensive PRISMA-compliant systematic review was conducted through the EMBASE, Ovid MEDLINE(R), PsycINFO, and Scopus databases. Results: Of the 3024 records screened, 121 studies were included. Bidirectionality of sleep-affect associations was found (in general) across affective disorders (bipolar, depression, and anxiety), shift workers, and healthy participants representing a range of age groups. However, findings were influenced by the sleep indices and affective dimensions operationalised, sampling resolution, time of day effects, and diagnostic status.
Conclusions: Sleep disturbances, especially poorer sleep quality and truncated sleep duration, were consistently found to influence positive and negative affective experiences. Sleep was more often a stronger predictor of subsequent daytime affect than vice versa. The strength and magnitude of sleep-affect associations were more robust for subjective (self-reported) sleep parameters compared to objective (actigraphic) sleep parameters.
Item Type: | Article |
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DOI/Identification number: | 10.3390/s24144701 |
Additional information: | For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. |
Uncontrolled keywords: | sleep; circadian rhythms; affect; mood; emotions; actigraphy; prospective; systematic review |
Subjects: | R Medicine |
Divisions: | Divisions > Division of Natural Sciences > Kent and Medway Medical School |
Funders: | NIHR Maudsley Biomedical Research Centre (https://ror.org/05fd9ct06) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 02 Aug 2024 13:30 UTC |
Last Modified: | 09 Aug 2024 10:24 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106741 (The current URI for this page, for reference purposes) |
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