Evidence map›Paper›PMID 35673626›Full record

ArticleSleep epidemiology2021

The association between problematic internet use, psychological distress, and sleep problems during COVID-19.

Zeng-Han Lee, I-Hua Chen

Open access · goldAbstract read
In one paragraph

Article in Sleep epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 17 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

2 authors at 2 institutions in 1 country.

Zeng-Han LeeSchool of Education Science, Minnan Normal University, Zhangzhou, Fujian, China.
I-Hua ChenChinese Academy of Education Big Data, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong, China.
Qufu Normal University · CNZhangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of mandatory stay-at-home and isolation policies during the COVID-19 pandemic has resulted in people relying more on smartphone use to obtain the latest developments regarding the pandemic, interact with people, and for entertainment. Unfortunately, as people spend more time participating in Internet activities, they are more likely to encounter problematic internet use (PIU) issues. The main purpose of this study was to examine the association between two kinds of PIU [problematic smartphone use (PSU) and problematic social media use (PSMU)], psychological distress, and sleep problems. In addition, the moderating effect of sleep problems was examined. A total of 11014 school teachers completed the online survey. The participants were divided into two (high and low sleep problem) groups, according to the severity of their sleep problems, for comparison. The research conducted a comparison between the degree of PIU and psychological distress, and then provided correction for the two groups separately. The results indicated that the high sleep problem group exhibited significantly greater psychological distress [mean (

Indexed as

BSMAS, Bergen Social Media Addiction ScaleCFI, Comparative fit indexCOVID-19DASS-21, Depression, Anxiety, and Stress Scale-21NNFI, Non-normed fit indexOnline teachingPCL-5, PTSD Checklist for DSM-5PIU, Problematic Internet useProblematic internet usePSMU, Problematic social media usePSU, Problematic smartphone usePsychological distressRMSEA, Root mean square error of approximationSABAS, Smartphone Application-Based Addiction ScaleSEM, Structural equation modelingSleep problemsSRMR, Standardized root mean square residual

Identifiers

PMID35673626
PMCPMC8428998
OpenAlexW3200660027

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.