Evidence map›Paper›PMID 35620148›Full record

SynthesisFrontiers in pediatrics2022

Screen Time and Body Mass Index Among Children and Adolescents: A Systematic Review and Meta-Analysis.

Yiling Wu, Azita Amirfakhraei, Farnoosh Ebrahimzadeh, Leila Jahangiry, Mahdieh Abbasalizad-Farhangi

RetractedAbstract readSystematic ReviewRetracted Publication
In one paragraph

Synthesis in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yiling WuDepartment of Pediatrics, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Azita AmirfakhraeiDepartment of Psychology, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran.
Farnoosh EbrahimzadehDepartment of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Leila JahangiryDepartment of Health Education and Health Promotion, School of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahdieh Abbasalizad-FarhangiDepartment of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is no summative quantitative study that report the difference in BMI in high screen user children and adolescents or give a difference in screen time in children and adolescents with obesity vs. children and adolescents without obesity. In the current meta-analysis we systematically summarized the association between obesity and screen time and meta-analyzed the results. Methods: A systematic search from Scopus, PubMed and Embase electronic databases. Studies that evaluated the association between screen time and obesity up to June 2021. Results: Results revealed that those at the highest screen time category had 0.7 kg/m Conclusion: For the first time, the current systematic review and meta-analysis revealed a positive association between screen time and obesity among children and adolescents. Due to the cross-sectional design of the included studies, causal inference is impossible, therefore, further studies in separate analysis of both genders are suggested to better elucidate gender-specific results. Systematic Review Registration: [www.ClinicalTrials.gov], identifier [CRD4202123 3899].

Indexed as

adiposityBMImeta-analysisobesityscreen time

Identifiers

PMID35620148
PMCPMC9127358

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.