Associations of depressive symptoms and perceived social support with addictive use of social media among elderly people in Turkey

Abstract

Background: The aim of this study was to investigate the relationship of addictive use of social media (AUSM) with depressive symptoms, perceived social support and demographic variables among people aged 65 years and older. Methods: People aged 65 years and older who use social media constituted the study sample. The data were obtained from social networking sites via Google survey link. Bergen social media addiction scale (BSMAS) for determining AUSM, Multidimensional Scale of Social Support for determining social support, Geriatric Depression Scale to identify depressive symptoms and sociodemographic data form were administered to the participants. Results: The mean age of the sample was 68.86 2.0 years. AUSM showed significant differences depending on gender, marital status, economic status, educational level, settlement, occupation, and time spent in social media (P = 0.00). AUSM had correlations with both sub-dimensions of perceived social support and depressive symptoms (P < 0.01). In the regression analysis, it was found that the depressive symptoms, social support from family (P = 0.00) and from a significant other (P = 0.001) had significant effects on AUSM. Conclusions: When evaluating elderly individuals with depressive symptoms, it is important to evaluate these individuals in terms of social media addiction. Interventions to improve social support systems, especially for older people with little perceived social support can help prevent the development of AUSM.