Evidence map›Paper›PMID 42005670›Full record

ArticleHealth science reports2026

Exploring the Mediating Role of Emotion Regulation and Distress Intolerance in the Relationship Between Social Anxiety and Problematic Smartphone Use: A Cross-Sectional Study.

Rachel A Bond, Jon D Elhai, Christian Montag

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rachel A BondDepartment of Neurosciences and Psychiatry University of Toledo Toledo, Ohio USA.ORCID https://orcid.org/0000-0003-1468-1938
Jon D ElhaiDepartment of Neurosciences and Psychiatry University of Toledo Toledo, Ohio USA.ORCID https://orcid.org/0000-0001-5205-9010
Christian MontagCentre for Cognitive and Brain Sciences Institute of Collaborative Innovation, University of Macau Macau SAR China.ORCID https://orcid.org/0000-0001-8112-0837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: An increasing body of research has demonstrated significant relations between social anxiety and problematic smartphone use (PSU). While some cognitive and affective mechanisms, such as poor emotion regulation, have been explored as mediating variables explaining these relations, there is less known about the role of distress intolerance. Our study explored the mediating role of emotion regulation strategies (expressive suppression and cognitive appraisal) and distress intolerance between social anxiety and PSU severity using structural equation modeling (SEM). We built our research model based upon the framework of the Person-Affect-Cognition-Execution (I-PACE) theoretical model of Internet use disorders. Methods: Our sample included 308 undergraduate students aged 18-25 who completed a series of self-report measures. Results: SEM results revealed that only expressive suppression significantly mediated the relationship between social anxiety and PSU severity. Conclusion: Results support prior research that poor emotion regulation skills serve as an underlying mechanism between psychopathology and PSU. Individuals with social anxiety are more likely to engage in expressive suppression, and therefore PSU. Clinical implications include the need to explore the emotional regulation mechanism underlying the relationship between social anxiety and vulnerability to engage in maladaptive behaviors such as PSU.

Indexed as

distress intolerancedistress toleranceemotion regulationproblematic smartphone usesmartphone addictionsocial anxiety

Identifiers

PMID42005670
PMCPMC13087099

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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.