The impact of social media use on depression in multiple sclerosis patients.
Depression
Health policy
Multiple sclerosis
Social networking
Journal
Acta neurologica Belgica
ISSN: 2240-2993
Titre abrégé: Acta Neurol Belg
Pays: Italy
ID NLM: 0247035
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
27
03
2020
accepted:
08
06
2020
pubmed:
23
6
2020
medline:
1
6
2021
entrez:
23
6
2020
Statut:
ppublish
Résumé
Social media is a powerful tool in providing information and support for minority groups such as patients with chronic diseases. We aimed to assess the link between using online social media and depression in a sample population of Iranian Multiple Sclerosis (MS) patients. In this cross-sectional study, a number of MS patients between 18-55 years were recruited. The Persian-language version of the Beck Depression Inventory-II (BDI-II-Persian) was used to screen MS patients for depression. We selected a cut-off point of 16 to identify depressed MS patients, who answered the self-administered questionnaire designed by the authors (the validity and reliability was confirmed before). Patients, whose interaction with social networks and communication tools was limited to < 1 h/day for < 5 times/month, were allocated as controls. A two-sided p < 0.05 was considered statistically significant. We compared the depression score between patients who used internet and social media (16.38 ± 8.35) with those who did not (25 ± 13.98). We found out there was a significant difference (p = 0.046). However, there were no significant differences between the type (r = 0.098, p = 0.513) and duration (r = - 0.102, p = 0.564) of social media with depression score. Also, based on a cut-off of 3 number of social media there was no significant difference in the status of depression among patients (p = 0.921). Based on the experience of patients, it is helpful to implement a source using online social media to facilitate patients' access to rehabilitation support and establish support groups with standard supervised information delivery.
Identifiants
pubmed: 32566990
doi: 10.1007/s13760-020-01407-1
pii: 10.1007/s13760-020-01407-1
pmc: PMC7306188
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1405-1409Références
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