Evidence map›Paper›PMID 36811078›Full record

ArticleInternational journal of mental health and addiction2023

Is Nomophobia Problematic or Functional? A Perspective from Bifactor Structure.

Shixiu Ren, Tour Liu, Xinlu Zhao, Haibo Yang, Jon D Elhai

Abstract read
In one paragraph

Article in International journal of mental health and addiction, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Shixiu RenCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, P.R. China.
Tour LiuFaculty of Psychology, Tianjin Normal University, Tianjin, P.R. China.ORCID 0000-0002-1186-2357
Xinlu ZhaoFaculty of Psychology, Tianjin Normal University, Tianjin, P.R. China.
Haibo YangFaculty of Psychology, Tianjin Normal University, Tianjin, P.R. China.
Jon D ElhaiDepartment of Psychology, University of Toledo, Toledo, OH USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the extensive use of mobile phones globally, some people engage in excessive or problematic phone use behaviors. However, little is known regarding the latent structure of problematic mobile phone use. The current study employed the Chinese versions of the Nomophobia Questionnaire, Mobile Phone Addiction Tendency Scale, and Depression-Anxiety-Stress Scale-21 to explore the latent psychological structure of problematic mobile phone use and nomophobia and their associations with mental health symptoms. Results showed that a bifactor latent model best fit nomophobia, which contained a general factor and four unique factors involving the fear of being unable to access information, losing convenience, losing contact, and losing one's Internet connection. Results also showed significant correlations among latent factors of nomophobia, problematic mobile phone use, and mental health symptoms. Through these findings, we can conclude that two problematic mobile phone use behaviors share a common factor concerning excessive use, and nomophobia has independent unique factors concerning usable function. This study clarifies the structure of problematic mobile phone use, and it implies that we can distinguish problematic mobile phone use from functional use; further investigation of problematic mobile phone use is warranted.

Indexed as

Bifactor modelHigh-order CFAMental healthNomophobiaProblematic mobile phone use

Identifiers

PMID36811078
PMCPMC9934512

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.