Evidence map›Paper›PMID 36546366›Full record

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

Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.

Yoora Chu, Yeongbiehn Oh, Minseong Gwon, Seokhyun Hwang, Hyeokjun Jeong, Hyun-Woo Kim, Kihun Kim, Yun Hak Kim

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

8 authors.

Yoora ChuSchool of Medicine, Pusan National University, Yangsan, Republic of Korea.
Yeongbiehn OhSchool of Medicine, Pusan National University, Yangsan, Republic of Korea.
Minseong GwonSchool of Medicine, Pusan National University, Yangsan, Republic of Korea.
Seokhyun HwangSchool of Medicine, Pusan National University, Yangsan, Republic of Korea.
Hyeokjun JeongSchool of Medicine, Pusan National University, Yangsan, Republic of Korea.
Hyun-Woo KimDepartment of Neurology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Kihun KimDepartment of Occupational and Environmental Medicine, Kosin University Gospel Hospital, Busan, Republic of Korea.
Yun Hak KimDepartment of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesSeveral studies have recently reported on the association between smartphone usage and self-reported sleep quality. However, no systematic review or meta-analysis has yet been performed. We aimed to analyze the association between smartphone usage time and self-reported sleep quality.

methodsWe searched for articles published up to January 13, 2022, using the Embase and Medline databases. All observational studies were eligible for inclusion. The Newcastle-Ottawa scale was used to evaluate the risk of bias within studies. We used restricted cubic spline analysis to perform a dose-response analysis.

resultsSeventeen studies with a total of 36,485 participants were included. The pooled odds ratio was 2.28 (confidence interval [CI]: 1.81-2.89;

conclusionsSmartphone overuse was closely associated with poor self-reported sleep quality, sleep deprivation, and sleep latency prolongation. Further studies using a more structured method and high-quality evidence (cohort or case-control) should be conducted. SYSTEMATIC REVIEW REGISTRATION: CRD42022303371. CITATION: Chu Y, Oh Y, Gwon M, et al. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.

Indexed as

Sleep QualitySmartphoneDatabases, FactualHumansOdds RatioSelf Reportmeta-analysisPittsburgh Sleep Quality Indexsleep qualitySmartphone Addiction Scalesmartphone overuse

Identifiers

PMID36546366
PMCPMC9978438

What Socratic 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 Socratic graph.