ArticleSleep health2023
Wearable and mobile technology to characterize daily patterns of sleep, stress, presleep worry, and mood in adolescent insomnia.
Article in Sleep health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2023Pooled it
- Sleep Reactivity Amplifies the Impact of Pre-Sleep Cognitive Arousal on Sleep Disturbances.Journal of sleep research · 2026Article
- Exploring the relationship between sleep patterns, alcohol and other substances consumption in young adults: Insights from wearables and Mobile surveys in the National Consortium on alcohol and NeuroDevelopment in adolescence (NCANDA) cohort.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025Article
- Wearable technology and daily diaries for studying mental health: lessons learned from pilot studies in Kampala, Uganda.Global mental health (Cambridge, England) · 2025Article
- A mobile-based daily check-in approach to monitor patient reported outcomes in obstructive sleep apnea: results from a 6-month home-based observation study.Sleep advances : a journal of the Sleep Research Society · 2025Article
- Exploring emotions beyond the laboratory: A review of emotional and physiological ecological momentary assessment methods in children and youth.Psychophysiology · 2024Review
- Relationship Between Heart Rate and Perceived Stress in Intensive Care Unit Residents: Exploratory Analysis Using Fitbit Data.JMIR formative research · 2024Article
- Predicting stress in first-year college students using sleep data from wearable devices.PLOS digital health · 2024Article
- A bibliometric analysis of insomnia in adolescent.Frontiers in psychiatry · 2023Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
objectivesCharacterizing daily patterns of sleep, stress, presleep worry, and mood in adolescents with and without insomnia symptomatology.
designTwo months of continuous wearable tracking and daily diary ratings.
settingFree-living conditions.
participantsNinety-three adolescents (59 girls; 16-19 years old) with (N = 47; 26 with clinical and 21 with sub-clinical) and without (N = 46; control) DSM-5 insomnia symptomatology. MEASUREMENTS: Fitbit Charge 3 tracked sleep, heart rate, and steps. Evening electronic diaries collected ratings of daily stress, presleep worry, and mood.
resultsWhile sleep duration (control: 6.88 ± 1.41 hours; insomnia: 6.92 ± 1.28 hours), architecture, timing, and night-to-night variability were similar between groups, the insomnia group reported higher levels of stress and worry, being mainly related to "school". At the intraindividual level, stress and worry predicted shorter sleep duration and earlier wake up times, which, in turn, predicted higher stress the following day. Moreover, higher-than-usual stress predicted higher sleep-time heart rate, with a more consistent effect in adolescents with insomnia. Results were overall consistent after controlling for covariates and several robustness checks.
conclusionsThere is a bidirectional relationship between daily stress and sleep, with daily stress negatively impacting sleep, which in turn leads to more stress in adolescents with and without insomnia symptoms. Findings also highlight the complexity of insomnia in adolescence, in which the core clinical features (perceived sleep difficulties) and the critical factors (stress/worry) implicated in the pathophysiology of the disorder are not necessarily reflected in objective sleep indicators.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.