ArticleActa neurologica Belgica2020
The impact of social media use on depression in multiple sclerosis patients.
Article in Acta neurologica Belgica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Investigating the Effects of Pulmonary Rehabilitation via Social Media Versus Brochures on General Health in Nonhospitalized COVID-19 Patients: A Randomized Controlled Trial.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Article
- The barriers and facilitators to health-promoting lifestyle behaviors among people with multiple sclerosis during the coronavirus disease 2019 pandemic: a content analysis study.BMC neurology · 2022Article
- Heterogeneity of Urban and Rural Areas in Association of Fringe Benefits and Depression: A Cross-Sectional Study.Frontiers in public health · 2022Article
- Social media and sociodemographic characteristics associated with general health in breast cancer patients: a cross-sectional study.The Pan African medical journal · 2022Article
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Authors and funding
5 authors.
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Abstract
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.
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