Social Networks

[Petr75]

2020 Jul 9
Department of Biostatistics, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
The Correlation between Using Social Networks and the General Health of Multiple Sclerosis Patients
https://pubmed.ncbi.nlm.nih.gov/32695512/


Abstract

Background: Multiple sclerosis (MS) threatens the patients' independency and ability to effectively participate in the society. The aim of this study was to determine the correlation between using social networks on the general health of multiple sclerosis patients.

Methods: This study was performed on 80 MS patients referring to Shiraz University of Medical Sciences, Chamran, and Imam Reza Hospital in 2017, whose condition had improved and were treated by a specialist physician. Tools for data collection were general health questionnaire (GHQ-28) and social networks use questionnaires.

Results: Amongst the 80 individuals with MS, 65 (81.3%) were female and 15 (18.8%) were male. Our results suggest that patients with higher levels of education had higher levels of health (P = 0.01). Telegram and WhatsApp, respectively, had a positive correlation with general health (P = 0.007, P = 0.007), anxiety (P = 0.003, P = 0.028), and social dysfunction (P = 0.007, P = 0.007). WhatsApp with 33.64% was the most popular application among MS patients. The correlation between general health and duration of using social networks was not statistically significant (r = 0.22, P = 0.06). Also, no significant correlation was found between the duration of using social networks and the general health (P = 0.62).

Conclusion: Our findings suggest that social networks, especially Telegram and WhatsApp, had a positive correlation with general health, anxiety, and social dysfunction of patients. Therefore, the use of social networks can be considered as a suitable option in reducing the aforementioned concerns among patients with MS. On the other hand, general health and mood status might as well influence the use of social network in MS patients.