Osman Kurt, Muhammed Fatih Tabara, Sevler Yıldız, Aslı Kazgan Kılıçaslan, Burcu Sırlıer Emir, Meltem Oktay, Neslihan Cansel, Seyma Sehlikoglu
{"title":"Technology Addiction and Social Connectedness in Psychiatric Illness: A Multicenter Study.","authors":"Osman Kurt, Muhammed Fatih Tabara, Sevler Yıldız, Aslı Kazgan Kılıçaslan, Burcu Sırlıer Emir, Meltem Oktay, Neslihan Cansel, Seyma Sehlikoglu","doi":"10.30773/pi.2023.0307","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Technology 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.</p><p><strong>Methods: </strong>A 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.</p><p><strong>Results: </strong>The 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).</p><p><strong>Conclusion: </strong>As 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.</p>","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11421916/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatry Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.30773/pi.2023.0307","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/20 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Technology 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.
Methods: A 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.
Results: The 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).
Conclusion: As 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.
期刊介绍：
The Psychiatry Investigation is published on the 25th day of every month in English by the Korean Neuropsychiatric Association (KNPA). The Journal covers the whole range of psychiatry and neuroscience. Both basic and clinical contributions are encouraged from all disciplines and research areas relevant to the pathophysiology and management of neuropsychiatric disorders and symptoms, as well as researches related to cross cultural psychiatry and ethnic issues in psychiatry. The Journal publishes editorials, review articles, original articles, brief reports, viewpoints and correspondences. All research articles are peer reviewed. Contributions are accepted for publication on the condition that their substance has not been published or submitted for publication elsewhere. Authors submitting papers to the Journal (serially or otherwise) with a common theme or using data derived from the same sample (or a subset thereof) must send details of all relevant previous publications and simultaneous submissions. The Journal is not responsible for statements made by contributors. Material in the Journal does not necessarily reflect the views of the Editor or of the KNPA. Manuscripts accepted for publication are copy-edited to improve readability and to ensure conformity with house style.
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