Evidence map›Paper›PMID 40950758›Full record

ArticleFrontiers in psychiatry2025

Digital loneliness as a new diagnostic category in psychiatry: the impact of technology and social media use on psychological well-being.

Daniel Szawarnoga, Artur Stasiniewicz, Joanna Fojcik, Marek Krzystanek

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

4 authors.

Daniel SzawarnogaDepartment of Psychiatry, Department of Neurology, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, Poland.
Artur StasiniewiczDepartment of Neurology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland.
Joanna FojcikDepartment of Psychiatry, Department of Neurology, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, Poland.
Marek KrzystanekDepartment and Clinic of Psychiatric Rehabilitation in Katowice, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to determine the impact of social media use on users' subjective feelings of loneliness and the occurrence of anxiety symptoms, taking into account demographic variables such as age and education level. Material and methods: A total of 220 patients of the Mental Health Outpatient Clinic participated in the study and completed a self-administered survey questionnaire including demographic data, social media use patterns and assessment of experienced psychological symptoms. Results: Statistical analyses showed that younger users spend more time online, which correlates with higher feelings of loneliness and severity of anxiety symptoms, while higher levels of education are associated with less time online and better awareness of the dangers of excessive social media use. Conclusions: Social media leads to an increased sense of isolation. Excessive use of these platforms is associated with decreased sleep quality, decreased self-esteem, increased levels of stress and anxiety and an overall deterioration in users' mental health. The experience of digital loneliness varies according to the characteristics of users - young people, women and people with limitations are the most vulnerable to the negative effects of excessive social media use.

Indexed as

anxiety symptomsdigital hygienedigital lonelinesseducationlonelinessmental healthsocial media

Identifiers

PMID40950758
PMCPMC12423098

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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.