biostudies-literatureKreski NNIDA NIH HHSNational Institute on Drug Abuse572-579https://www.ebi.ac.uk/biostudies/studies/S-EPMC7876159biostudies-literatureUnknown68(3)<h4>Purpose</h4>Depression is increasingly common among US adolescents; the extent to which social media exposure contributes to this increase remains controversial.<h4>Methods</h4>We used Monitoring the Future data from 8th and 10th grade students (n = 74,472), 2009-2017, to assess the relationship between daily social media use and depressive symptoms. Self-reported depressive symptom score (range: 4-20) was assessed continuously using a log-transformed outcome and at varying cut scores with logistic regression analyses. First, these outcomes were examined overall, comparing adolescents using social media daily to adolescents who were not. We then estimated predicted depressive symptom scores using 26 predictors in order to establish underlying depression risk. We partitioned students inThe Journal of adolescent health : official publication of the Society for Adolescent MedicineSocial Media Use and Depressive Symptoms Among United States Adolescents.PMC7876159R01 DA001411R01 DA048853Olfson MSchulenberg JPlatt JOdgers CKeyes KMKreski NRutherford CfalseSocial Media Use and Depressive Symptoms Among United States Adolescents.<h4>Purpose</h4>Depression is increasingly common among US adolescents; the extent to which social media exposure contributes to this increase remains controversial.<h4>Methods</h4>We used Monitoring the Future data from 8th and 10th grade students (n = 74,472), 2009-2017, to assess the relationship between daily social media use and depressive symptoms. Self-reported depressive symptom score (range: 4-20) was assessed continuously using a log-transformed outcome and at varying cut scores with logistic regression analyses. First, these outcomes were examined overall, comparing adolescents using social media daily to adolescents who were not. We then estimated predicted depressive symptom scores using 26 predictors in order to establish underlying depression risk. We partitioned students in2021-01-01T00:00:00Z2021 Mar2025-04-04T19:54:15.987Z2025-04-04T19:54:15.987ZS-EPMC78761593279810210.1016/j.jadohealth.2020.07.006