12–17 Subsequently, other research have addressed these contradictions by examining different patterns of SMU (other than time) as they relate to depressive symptomatology. 4, 5 Initial studies found significant associations between time of SMU and depressive symptomatology, 6–11 whereas others found no significant associations. This has led researchers to look into the association between social media use (SMU) and mental health outcomes, such as depression.ĭepression is a prevalent condition and a public health concern 3 in 2015, 16.1 million United States adults suffered at least one episode of depression, which is now one of the leading causes of disability worlwide. 2 SM allows users to explore self-identity, express emotions or thoughts. 1 In 2016, over 90 percent of adults 18–49 of age reported using at least one SM platform over the last 12 months. S ocial media (SM) encompasses websites and mobile applications that enable users to create content and participate in online social networking (e.g., YouTube, Tumblr, Facebook). To inform interventions, future research should determine directionality of these associations and investigate related factors. However, in the same multivariable model, each one-point increase in active SMU was associated with a 15 percent decrease in depressive symptoms (AOR = 0.85, 95 percent CI = 0.75–0.96). In multivariable analyses that controlled for all covariates, each one-point increase in passive SMU was associated with a 33 percent increase in depressive symptoms (adjusted odds ratio = 1.33, 95 percent confidence interval = 1.17–1.51). Active and passive SMU items loaded on separate factors. Complete data were received from 702 participants. Then, we used ordered logistic regression to assess associations between both passive and active SMU and depressive symptoms while controlling for sociodemographic covariates. Factor analysis was used to explore the underlying factor structure. We measured active and passive SMU with previously developed items. Depressive symptoms were measured using the Patient-Reported Outcomes Measurement Information System brief depression scale.
For this, we conducted an online survey of adults 18–49 of age. We sought to assess the independent associations between active versus passive SMU and depressive symptoms. These contradictions may best be addressed by examining different patterns of SMU as they relate to depressive symptomatology. Research looking into the association between social media use (SMU) and mental health outcomes, such as anxiety or depressive symptoms, have produced mixed findings. Social media allows users to explore self-identity and express emotions or thoughts.
0 kommentar(er)
