Evidence map›Paper›PMID 36692167›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2023

A comparison of sleep-wake patterns among school-age children and adolescents in Hong Kong before and during the COVID-19 pandemic.

Steven W H Chau, Samara Hussain, Sandra S M Chan, Oscar W H Wong, Jihui Zhang, Hongliang Feng, Kelly Y C Lai, Suk Ling, Suzanne H W So, Kelvin K F Tsoi and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

13 authors at 2 institutions in 1 country.

Steven W H ChauLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Samara HussainDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Sandra S M ChanDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Oscar W H WongDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Jihui ZhangLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Hongliang FengLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Kelly Y C LaiDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Suk LingDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Suzanne H W SoDepartment of Psychology, Faculty of Social Science, The Chinese University of Hong Kong, Hong Kong SAR.
Kelvin K F TsoiJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Yun Kwok WingLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Se Fong HungDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Patrick W L LeungDepartment of Psychology, Faculty of Social Science, The Chinese University of Hong Kong, Hong Kong SAR.
Chinese University of Hong Kong · CNTai Po Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesThe lifestyles change of children and adolescents during the COVID-19 pandemic due to antipandemic measures can affect their sleep health. Existing studies have used convenient samples and focused on the initial months of the pandemic, leaving a knowledge gap on changes in young people's sleep patterns under the "new normal" under COVID-19.

methodsAs part of a territory-wide epidemiological study in Hong Kong, this cross-sectional study recruited primary and secondary school students by stratified random sampling. Sleep parameters were collected using the structured diagnostic interview for sleep patterns and disorders. We investigated the pandemic's effects on sleep parameters by comparing data of participants recruited pre-COVID and those recruited during COVID using multivariate regression, adjusting for age, sex, household income, seasonality, and presence of mental disorders, and the moderators and mediators of the effects.

resultsBetween September 1, 2019 and June 2, 2021, 791 primary and 442 secondary school students were recruited and analyzed. Primary school and secondary school participants assessed before COVID had a longer sleep latency on school days (95% confidence interval [CI] = 1.0-5.2 minutes, adjusted

conclusionsChanges associated with COVID have a widespread and enduring effect on the sleep health of school-aged students in Hong Kong. Household income plays a role in adolescent sleep health resilience, and the impact of antiepidemic measures on the health gaps of the youth should be considered. CITATION: Chau SWH, Hussain S, Chan SSM, et al. A comparison of sleep-wake patterns among school-age children and adolescents in Hong Kong before and during the COVID-19 pandemic.

Indexed as

COVID-19PandemicsAdolescentChildCross-Sectional StudiesHong KongHumansSleepadolescentschildrenepidemiologypandemicsleep health

Identifiers

PMID36692167
PMCPMC10071375
OpenAlexW4317871439

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.