Evidence map›Paper›PMID 41952224›Full record

ArticleBMC psychology2026

Digital addiction on depression, anxiety, stress and loneliness in healthcare professionals: cross-sectional study.

Kadriye Olğaç Ak, İbrahim Dağ

Abstract read
In one paragraph

Article in BMC 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.

Kadriye Olğaç AkFaculty of Health Sciences, Department of Nursing, Mardin Artuklu University, Mardin, Artuklu, 47000, Turkey. kadriyeolgac@artuklu.edu.tr.ORCID http://orcid.org/0009-0006-8957-2524
İbrahim DağFaculty of Health Sciences, Department of Nursing, Mardin Artuklu University, Mardin, Artuklu, 47000, Turkey.ORCID http://orcid.org/0000-0002-5130-8342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital dependence is an emerging behavioral concern characterized by excessive and uncontrolled use of digital devices, which may adversely affect mental health. This study examined the association of digital addiction with depression, anxiety, stress, and loneliness among healthcare professionals.

methodsA descriptive, cross-sectional study was conducted between April 15 and July 30, 2025, with 371 healthcare professionals selected via computer-assisted simple random sampling from two hospitals, considering different shift schedules. Data were collected face-to-face using a socio-demographic form, Digital Addiction Scale, DASS-21, and UCLA Loneliness Scale. SPSS 25 was used for analysis, applying descriptive statistics and parametric tests after normality checks.

resultsA total of 371 healthcare professionals participated (57% female; mean daily digital use = 4.44 ± 2.77 h). Digital addiction showed positive correlations with loneliness (r = 0.152; 95% CI: 0.05-0.25), anxiety (r = 0.167; 95% CI: 0.07-0.26), depression (r = 0.168; 95% CI: 0.07-0.26), and stress (r = 0.202; 95% CI: 0.11-0.30) (all p < 0.01). In regression models, loneliness (β = 0.152, p = 0.003) predicted higher digital addiction scores (R² = 0.023), and device-use duration (β = 0.256, p < 0.001) emerged as the strongest correlate of digital addiction (model R² = 0.086). Loneliness and digital addiction together explained 21-23% of variance in anxiety (R² = 0.235), depression (R² = 0.234), and stress (R² = 0.211) symptoms. It has been determined that the 8.6% change in healthcare workers' digital addiction scores can be explained by the scores of the variables Age, Number of Children, Years in the profession, Years in the unit, and Duration of digital device use. The most significant variable was found to be the duration of digital device.

conclusionsDigital addiction was significantly associated with higher anxiety, depression, and stress among healthcare professionals. Longer device use increased addiction risk. Awareness programs on healthy digital media use and psychosocial support interventions are recommended. LIMITATIONS: The cross-sectional design, self-report measures, and two-hospital sample limit causal inference and generalizability. A potential limitation of the sampling process was the challenge of reaching randomly selected participants across varying shift schedules, although efforts were made to ensure coverage.

Indexed as

AnxietyBehavior, AddictiveDepressionHealth PersonnelInternet Addiction DisorderLonelinessStress, PsychologicalAdultCross-Sectional StudiesDigital MediaFemaleHumansMaleMiddle AgedAnxietyDepressionHealth personnelInternet addictionLonelinessStress

Identifiers

PMID41952224
PMCPMC13173859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.