Evidence map›Paper›PMID 39155556›Full record

ArticlePsychiatry investigation2024

Technology Addiction and Social Connectedness in Psychiatric Illness: A Multicenter Study.

Osman Kurt, Muhammed Fatih Tabara, Sevler Yıldız, Aslı Kazgan Kılıçaslan, Burcu Sırlıer Emir, Meltem Oktay, Neslihan Cansel, Seyma Sehlikoglu

Abstract read
In one paragraph

Article in Psychiatry investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Osman KurtDepartment of Public Health, Adıyaman Provincial Health Directorate, Adıyaman, Turkey.
Muhammed Fatih TabaraDepartment of Psychiatry, Elaziğ Mental Health and Diseases Hospital, Elazığ, Turkey.
Sevler YıldızDepartment of Psychiatry, Elazığ Fethi Sekin City Hospital, Elazığ, Turkey.
Aslı Kazgan KılıçaslanDepartment of Psychiatry, University of Bozok, Yozgat, Turkey.
Burcu Sırlıer EmirDepartment of Psychiatry, Elazığ Fethi Sekin City Hospital, Elazığ, Turkey.
Meltem OktayDepartment of Psychiatry, İstanbul Research and Training Hospital, İstanbul, Turkey.
Neslihan CanselDepartment of Psychiatry, University of İnönü, Malatya, Turkey.
Seyma SehlikogluDepartment of Psychiatry, University of Adıyaman, Adıyaman, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTechnology addiction is an increasingly important public health problem all over the world that negatively affects people's mental and physical health. In this study, we examined technology addiction and social connectedness levels of psychiatric patients who admitted to clinics in different geographical regions of Turkey.

methodsA total of 642 people with a diagnosis of psychiatric illness who applied to psychiatry clinics in İstanbul, Elaziğ, Malatya, Yozgat, Adıyaman, and Bingöl provinces were included. Sociodemographic data form, Technology Addiction Scale (TAS), and Social Connectedness Scale (SCS) were applied to all participants.

resultsThe total score of the TAS in patients diagnosed with anxiety disorder and somatoform disorder was significantly higher than the other patient groups (p<0.001). Patients diagnosed with anxiety disorder showed a significant difference from other patient groups in terms of SCS score (p<0.001). Anxiety disorder was found to be the highest in TAS total score and sub-dimensions and the lowest in SCS score, while major depressive disorder was found to be the lowest in TAS total score and sub-dimensions and the highest in SCS score. The multiple linear regression analysis showed that the total score of the TAS was predicted by the SCS score (β=-1.857, p<0.001) and the SCS score was predicted by age (β=0.046, p=0.049) and the total score of the TAS (β=-0.316, p<0.001).

conclusionAs a result of this study, we can say that psychiatric patients have a moderate level of technology addiction, these people have high levels of social connectedness, and psychiatric patients with technology addiction have a high level of social belonging.

Indexed as

AnxietyInternetPsychiatric diagnosisSocial connectednessTechnology addiction

Identifiers

PMID39155556
PMCPMC11421916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.