TY - JOUR
T1 - Passive and Active Social Media Use and Depressive Symptoms Among United States Adults
AU - Escobar-Viera, Cesar G.
AU - Shensa, Ariel
AU - Bowman, Nicholas
AU - Sidani, Jaime E.
AU - Knight, Jennifer
AU - James, A. Everette
AU - Primack, Brian A.
PY - 2018/7
Y1 - 2018/7
N2 - Social media allows users to explore self-identity and express emotions or thoughts. Research looking into the association between social media use (SMU) and mental health outcomes, such as anxiety or depressive symptoms, have produced mixed findings. These contradictions may best be addressed by examining different patterns of SMU as they relate to depressive symptomatology. We sought to assess the independent associations between active versus passive SMU and depressive symptoms. For this, we conducted an online survey of adults 18–49 of age. Depressive symptoms were measured using the Patient-Reported Outcomes Measurement Information System brief depression scale. We measured active and passive SMU with previously developed items. Factor analysis was used to explore the underlying factor structure. Then, we used ordered logistic regression to assess associations between both passive and active SMU and depressive symptoms while controlling for sociodemographic covariates. Complete d
AB - Social media allows users to explore self-identity and express emotions or thoughts. Research looking into the association between social media use (SMU) and mental health outcomes, such as anxiety or depressive symptoms, have produced mixed findings. These contradictions may best be addressed by examining different patterns of SMU as they relate to depressive symptomatology. We sought to assess the independent associations between active versus passive SMU and depressive symptoms. For this, we conducted an online survey of adults 18–49 of age. Depressive symptoms were measured using the Patient-Reported Outcomes Measurement Information System brief depression scale. We measured active and passive SMU with previously developed items. Factor analysis was used to explore the underlying factor structure. Then, we used ordered logistic regression to assess associations between both passive and active SMU and depressive symptoms while controlling for sociodemographic covariates. Complete d
U2 - 10.1089/cyber.2017.0668
DO - 10.1089/cyber.2017.0668
M3 - Article
JO - Cyberpsychology, Behavior, and Social Networking
JF - Cyberpsychology, Behavior, and Social Networking
ER -