Evidence map›Paper›PMID 39171313›Full record

ArticleFrontiers in public health2024

Severity of inattention symptoms, experiences of being bullied, and school anxiety as mediators in the association between excessive short-form video viewing and school refusal behaviors in adolescents.

Yuru Du, Jianqiang Wang, Ziyan Wang, Jiuying Liu, Shaoxiong Li, Jing Lv, Yuhan Peng, Shining Chang, Miaomiao Li, Huan Liu and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

13 authors.

Yuru Du *Clinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Jianqiang Wang *Clinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Ziyan WangClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Jiuying LiuClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Shaoxiong LiClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Jing LvClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Yuhan PengClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Shining ChangClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Miaomiao LiClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Huan LiuClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Xuan LiuClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Xuezhu YuClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.
Youdong LiClinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent years have seen an increase in school refusal behavior among adolescents, potentially due to factors like excessive short-form video viewing, bullying, and school anxiety. Limited research has investigated how these factors contribute to school refusal behavior. This study used random forest regression, path analysis, and network analysis to identify key variables and pathways leading to school refusal behavior. Methods: In this cross-sectional questionnaire-based study, 2,056 (996 male, 1,060 female, mean age: 14.79 ± 1.24 years) middle and senior high school students were asked to complete the School Refusal Behavior Assessment questionnaire to assess school refusal behavior features, the Excessive Short-Form Video Viewing Scale as well as self-reported viewing times during leisure days to assess excessive short-form video viewing, the SNAP-IV Rating Scale to assess the severity of inattention symptoms, and the self-administered questionnaires to assess experiences of being bullied and school anxiety. Results: The prevalence of school refusal behavior in the surveyed adolescents was found to be 31.9% [95% confidence interval (CI): 29.8-33.9%]. In terms of significance, the severity of inattention symptoms exhibited the greatest predictive power, while excessive short-form video viewing accounted for the most variance. Path analysis revealed that excessive short-form video viewing not only directly affects school refusal behavior features but also does so indirectly through severity of inattention symptoms and school anxiety. Key bridge factors in this pathway include intense fear and anxiety associated with school attendance, manifesting as somatic symptoms and avoidance behaviors. Conclusion: The findings indicate that not only does excessive short-form video viewing directly influence school refusal behavior features in adolescents, but it also indirectly impacts these features through mechanisms involving severity of inattention symptoms and school anxiety. The bridge factors highlight potential targets for interventions among the SRB features and predictors.

Indexed as

Adolescent BehaviorAnxietyBullyingSchoolsStudentsAdolescentCross-Sectional StudiesFemaleHumansMaleSurveys and Questionnairesbeing bulliedexcessive short-form video viewinginattention symptomsschool anxietyschool refusal behavior

Identifiers

PMID39171313
PMCPMC11337196

What OpenQuestion holds

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LicenceCC BY
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.