Evidence map›Paper›PMID 42228684›Full record

ArticlePLOS mental health2026

Association between Problematic Internet and Mobile Phone Use, autistic traits, and psychological distress among adults: A cross-sectional survey.

Matilda Floris, Claudio Gentili

Abstract read
In one paragraph

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

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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

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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

2 authors.

Matilda FlorisPadova Neuroscience Center (PNC), University of Padova, Padova, Italy.ORCID https://orcid.org/0009-0004-3916-769X
Claudio GentiliPadova Neuroscience Center (PNC), University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problematic Internet Use (PIU) and Problematic Mobile Phone Use (PMPU) are emerging public health concerns associated with various mental health conditions, including autistic traits. However, PIU and PMPU remain poorly understood, and the role of psychological distress as a contributing factor has not been fully clarified. This study examined frequency and associations of autistic traits, PIU and PMPU, and substance use in adults, accounting for psychological distress. An online cross-sectional survey was conducted among 420 Italian adults aged 18 - 65, to assess autistic traits (Autism Spectrum Quotient, AQ), PIU (Uso e Abuso di Internet-2, UADI-2), PMPU (Mobile Phone Problematic Use Scale for Adults, MPPUS), substance use (Alcohol, Smoking and Substance Involvement Screening Test, ASSIST), and psychological distress (Kessler Psychological Distress Scale, K10). Correlation analyses, MANCOVA and Multivariate Multiple Regression (MMR) were performed to examine associations between variables, controlling for psychological distress. Young adults (18-24 years) showed higher levels of Internet (M = 66.36, SD = 13.56, 95% CI [63.87, 68.85]) and mobile phone use (M = 61.41, SD = 14.25, 95% CI [58.92, 63.9]). Autistic traits correlated positively with both PIU and PMPU, while psychological distress was positively associated with all outcomes, including substance use in younger participants. MANCOVA indicated significant effects of autistic traits and psychological distress on outcomes. MMR showed that higher autistic traits predicted higher PIU and PMPU, while psychological distress additionally predicted substance use. Autistic traits and psychological distress were significantly associated with PIU and PMPU, with psychological distress showing stronger associations. PIU and PMPU may be specifically linked to autistic traits, whereas substance use may be more related to psychological distress, suggesting different pathways. Further efforts should prioritize interventions targeting distress and emotion-regulation skills, particularly among young adults and individuals exhibiting PIU and PMPU.

Identifiers

PMID42228684
PMCPMC13229353

What Socratic 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 Socratic graph.