Evidence map›Paper›PMID 33928485›Full record

ArticleSleep & breathing = Schlaf & Atmung2022

Bedtime smart device usage and accelerometer-measured sleep outcomes in children and adolescents.

Paul H Lee, Andy C Y Tse, Teris Cheung, C W Do, Grace P Y Szeto, Billy C L So, Regina L T Lee

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

7 authors.

Paul H LeeSchool of Nursing, Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. paul.h.lee@leicester.ac.uk.ORCID 0000-0002-5729-6450
Andy C Y TseDepartment of Health and Physical Education, Education University of Hong Kong, Ting Kok, Hong Kong, China.
Teris CheungSchool of Nursing, Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
C W DoSchool of Optometry, Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Grace P Y SzetoSchool of Medical and Health Sciences, Tung Wah College, Kings Park, Hong Kong, China.
Billy C L SoDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Regina L T LeeSchool of Nursing and Midwifery, University of Newcastle, Callaghan, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe analyzed the association between bedtime smart device usage habits and accelerometer-measured sleep outcomes (total sleeping time, sleep efficiency, and wake after sleep onset) in Hong Kong children and adolescents aged 8-14.

methodsA total of 467 students in Hong Kong participated in this study from 2016 to 2017. They self-reported their bedtime smart device usage habits. The primary caregiver of each participant was also invited to complete a self-administered questionnaire about the family's social-economic status and bedtime smart device usage habits. An ActiGraph GT3X accelerometer was used to assess participants' 7-day sleep outcomes.

resultsThe mean age of the participants was 10.3 (SD 1.9), and 54% were girls. Among the participants, 27% (n = 139) used a smart device before sleep, and 33% (n = 170) kept the smart device on before sleep. In total, 27% (n = 128) placed the smart device within reach before sleep, 23% (n = 107) would wake up when notifications were received, and 25% (n = 117) immediately checked the device after being awakened by a notification. Multiple regression controlling for age, sex, socio-economic status, and other confounders showed that those who woke up after receiving a notification had a statistically longer sleeping time (19.7 min, 95% CI: 0.3, 39.1, p = 0.046), lower sleep efficiency (- 0.71%, 95% CI - 1.40, - 0.02, p = 0.04), and a longer wake after sleep onset (2.6 min, 95% CI: 0.1, 5.1, p = 0.045) than those who did not. Nonetheless, all primary caregivers' bedtime smart device habits were insignificantly associated with all sleep outcomes of their children.

conclusionThose who woke up after receiving smart device notifications had lower sleep efficiency and longer wake after sleep onset than those who did not, and they compensated for their sleep loss by lengthening their total sleep time.

Indexed as

AccelerometrySleepSmartphoneAdolescentChildFemaleHong KongHumansMaleSleep QualityTime FactorsActigraphyCross-sectionalHong KongSmartphoneYouth

Identifiers

PMID33928485
PMCPMC8856998

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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.