Evidence map›Paper›PMID 39455526›Full record

Trial reportInternational journal of behavioral medicine2025

Scrolling Your Sleep Away: The Effects of Bedtime Device Use on Sleep Among Young Adults with Poor Sleep.

Ana Chkhaidze, Brett M Millar, Tracey A Revenson, Irina Mindlis

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ana ChkhaidzeDepartment of Psychology, St. John's University, New York, NY, USA. ana.chkhaidze24@my.stjohns.edu.ORCID http://orcid.org/0009-0000-8988-0419
Brett M MillarRutgers Institute for Health, Health Care Policy and Aging Research, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Tracey A RevensonPsychology Department, Hunter College, City University of New York, New York, NY, USA.
Irina MindlisDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384Translational Sciences of the National Institutes of Health UL1TR002384
6 · The paper itself

Abstract

backgroundMany young adults report sleep problems, including insufficient sleep and poor sleep quality. Young adults are heavily reliant on electronic devices, even using them during bedtime with adverse effects on sleep. Given the importance of adequate sleep, the present study examined the daily association between using electronic devices during bedtime and sleep in a diverse sample of young adults with poor sleep.

methodWe analyzed data from a pilot randomized controlled trial in which young adults with poor sleep [n = 46; 84% female; mean age 19.3 (SD = 2.9); 30% Asian, 19% Black/African American, 9% multiracial; 34% Hispanic/Latino] wore an electronic sleep tracking device (Fitbit Charge 3) and completed daily sleep diaries including questions about sleep and bedtime routine for 4 weeks following a behavioral sleep intervention. The effect of bedtime device use on sleep latency-time needed to fall asleep-and sleep duration was estimated by generalized linear mixed models (GLMM), adjusting for weeknights/weekend nights.

resultsBedtime device use on a given night was significantly associated with shorter self-reported sleep duration (b =  - 19.80, p = .011), but not with sleep latency. Concordance between the self-reported and Fitbit-measured sleep variables was low, and bedtime device use was not associated and Fitbit-measured sleep variables.

conclusionUsing electronic devices before bed negatively affected self-reported sleep duration the following night. This finding highlights the importance of minimizing nightly device use among young adults with poor sleep and suggests that the inconsistency between self-reported sleep and device use warrants further investigation.

Indexed as

SleepSleep Initiation and Maintenance DisordersSleep QualityAdolescentAdultFemaleHumansMalePilot ProjectsSleep LatencyYoung AdultElectronic devicesSleepSleep problemsYoung adults

Identifiers

PMID39455526
PMCPMC12022132

What OpenQuestion holds

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Registered trials

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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.