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Cited by 4Mental Health via WritingImpact of Technology on AdolescentsSocial Media in Health Education

The DOI matches its Crossref record, with a small difference in title or year; 18 of the 19 references it cites were found in a registry or an index.

BIG DATA IN ADOLESCENT PSYCHIATRY: DO PATIENTS SHARE THEIR PSYCHIATRIC SYMPTOMS ON SOCIAL NETWORKING SITES?

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Department of Child and Adolescent Psychiatry, Van Education and Research Hospital, Van, Turkey, Necmi Ucar, Halit, Eray, Safak, Department of Child and Adolescent Psychiatry, School of Medicine, University of Uludag, Uludag,Turkey, Kocael, Omer, Graduated from Department of Child and Adolescent Psychiatry, School of Medicine, University of Uludag, Uludag, Turkey, Ucar, Lutfi, Graduated from Master of Science in Management Engineering, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy, Kaymak, Muslum, Graduated from Master of Science in Management Engineering, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy, Lettieri, Emanuele, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy, Vural, Pinar, Department of Child and Adolescent Psychiatry, School of Medicine, University of Uludag, Uludag,Turkey·2108·Psychiatria Danubina
DOI 10.24869/psyd.2018.395
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Abstract

BACKGROUND: Fascinating developments in big data technologies and unprecedented diffusion of social networking sites (SNSs) generate unseen opportunities for scientific fields, including psychiatry. This study focuses on the use of SNSs by adolescent psychiatric patients and the potential use of SNS-generated data to help medical practitioners diagnose and treat patients' mental health. Our objective is to understand and measure the psychiatric and individual conditions in which symptom-sharing occurs on SNSs and the frequency of these conditions. Based on literature, we hypothesized that the perceived value of social network sites positively affects adolescents' sharing of symptoms on these sites. SUBJECTS AND METHODS: An empirical test of this hypothesis was conducted with a survey of 224 adolescents admitted to a psychiatry clinic in Turkey. The hypothesis was tested using a hierarchical multiple regression analysis. RESULTS: The perceived value of SNSs explained an additional 37.8% of variation in symptom sharing on SNSs above and beyond the control variables, which are gender, age, type of disorder, and amount of internet and SNS use. The findings suggested that adolescents share symptoms on SNSs only if they attribute value to the SNSs that they use. We also found that 72% of adolescents in our sample shared their symptoms on SNSs. CONCLUSIONS: There is an attractive opportunity for information technology companies to develop, together with health professionals; data analytics that are able to detect symptoms to support psychiatric diagnoses and pave the way for big-data enabled personalized medicine.

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Metadata

Authors
Department of Child and Adolescent Psychiatry, V. E. A. R. H., Necmi Ucar, H., Eray, S., Department of Child and Adolescent Psychiatry, S. O. M., Kocael, O., Graduated from Department of Child and Adolescent Psychiatry, S. O. M., Ucar, L., Graduated from Master of Science in Management Engineering, D. O. M., Kaymak, M., Graduated from Master of Science in Management Engineering, D. O. M., Lettieri, E., Department of Management, E. A. I. E., Vural, P., & Department of Child and Adolescent Psychiatry, S. O. M.
Affiliations
  • Politecnico di Milano (IT)
  • Bursa Uludağ Üni̇versi̇tesi̇ (TR)
ORCID
Lettieri, Emanuele
Venue
Psychiatria Danubina
Publisher
Medicinska Naklada d.o.o.
Published
2018-11-12
Volume
30
Issue
4
Pages
395-403
ISSN
0353-5053 (ISSN-L)
DOI
10.24869/psyd.2018.395
OpenAlex
W2936989791
Semantic Scholar
230d0bf39b6d6f1bb44270c89903bc88fca5f3c2
Cited by
3
References
19
Citations by year
2024: 1 · 2022: 1 · 2021: 1
FWCI
0.34
Type
journal article
Language
en
Open access
Locations
  • Psychiatria Danubina (publishedVersion)
  • PubMed (publishedVersion)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
  • Bursa Uludag University - AVESIS (submittedVersion)
  • University of Zagreb University Computing Centre (SRCE) (submittedVersion, other-oa)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Health › Social Media in Health Education
Keywords
adolescent psychiatry, social networking sites, psychiatric symptoms, big data, psychiatric diagnosis, personalized medicine, adolescents with mental disorders
MeSH terms
Big Data, Adolescent, Adolescent Psychiatry, Mental Disorders, Humans, Turkey, Internet, Social Networking

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