Evidence map›Paper›PMID 34388503›Full record

ArticleSleep medicine2021

How does the COVID-19 affect mental health and sleep among Chinese adolescents: a longitudinal follow-up study.

Yun Li, Ying Zhou, Taotao Ru, Jiaxing Niu, Meiheng He, Guofu Zhou

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
6.5field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yun LiLab of Light and Physio-psychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou 510006, China; School of Psychology, South China Normal University, Guangzhou 510631, China.
Ying ZhouLab of Light and Physio-psychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.
Taotao RuLab of Light and Physio-psychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China. Electronic address: taotao.ru@m.scnu.edu.cn.
Jiaxing NiuSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Meiheng HeSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Guofu ZhouLab of Light and Physio-psychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.
South China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Corona Virus Disease-19 (COVID-19) pandemic has evolved into the largest public health event in the world. Earlier COVID-19 studies have reported that the pandemic caused widespread impacts on mental health and sleep in the general population. However, it remains largely unknown how the prevalence of mental health problems and sleep disturbance developed and interacted in adolescents at different times in the epidemic.

methods831 teenagers (aged 14-19) underwent a longitudinal follow-up study to evaluate the prevalence of mental health problems and sleep disturbance among adolescents before, during, and after the COVID-19 breakout in China and to explore the interaction between mental health and sleep across the three measurements. The chronotype, anxiety and depression level, sleep quality, and insomnia were investigated during each measurement.

resultsThe adolescents had delayed sleep onset and sleep offset time, longer sleep duration during the quarantine than before and after the epidemic, whereas their chronotype tended to morning type during the epidemic. Yet, the highest prevalence of anxiety, depression, poor sleeper, and insomnia symptoms were observed before but not during the COVID-19 breakout. The females and adolescents who were eveningness type showed significantly higher anxiety and depression levels, poorer sleep quality, and severe insomnia status than the males and the intermediate and morning types. Sleep disturbance was positively associated with mental problems among three measurements. Pre-measured depression level significantly predicted sleep disturbance level at follow-ups.

conclusionThese findings suggested that adolescents' high prevalence of mental health and sleep problems occurred before the COVID breakout and decreased during and after the epidemic. Gender and chronotype were significant risk factors associated with affective and sleep disturbances. Depression positively predicted later sleep problems, but not vice versa.

Indexed as

COVID-19Sleep Initiation and Maintenance DisordersAdolescentAnxietyChinaCross-Sectional StudiesDepressionFemaleFollow-Up StudiesHumansMaleMental HealthSARS-CoV-2SleepAnxietyChronotypeCOVID-19DepressionSleep disturbance

Identifiers

PMID34388503
PMCPMC8418314
OpenAlexW3179958435

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.