Evidence map›Paper›PMID 42499593›Full record

ArticleFrontiers in psychology2026

The relationship between social media addiction levels and happiness levels among healthcare professionals.

Gulseren Citak Tunc, Büşra Köse

Abstract read
In one paragraph

Article in Frontiers in psychology, 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
–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

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.

Gulseren Citak TuncDepartment of Psychiatric Nursing, Faculty of Health Sciences, Bursa Uludag University, Bursa, Türkiye.
Büşra KöseDepartment of Nursing, Institute of Health Sciences, Bursa Uludag University, Bursa, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: This study was conducted cross-sectionally using a descriptive-correlational approach. Study aimed to examine the relationship between healthcare professionals 'social media addiction and their level of happiness. Methods: The data was collected via a survey of healthcare professionals working at a public hospital in a major city in western Turkey between November 1 and December 31, 2024. IBM SPSS 26.0 software was used for data analysis. Results: The study included 225 healthcare professionals (65.8% female, 34.2% male), with an average age of 33.11 ± 9.07. The average daily social media usage time was 2.96 ± 1.49 h. Healthcare professionals had moderate levels of happiness (24.29 ± 4.07) and social media addiction (14.30 ± 4.81). Happiness scores did not differ significantly across sociodemographic characteristics ( Conclusions: Only social media addiction is a significant predictor of happiness. The findings indicate that as social media addiction increases, happiness levels decrease.

Indexed as

addictionhappinesshealthcare professionalsmental healthsocial media addiction

Identifiers

PMID42499593
PMCPMC13395859

What Socratic holds

Textmetadata
LicenceCC BY
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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.