Capturing mood dynamics through adolescent smartphone social communication.

ABSTRACT: Most adolescents with depression remain undiagnosed and untreated-missed opportunities that are costly from both personal and public health perspectives. A promising approach to detecting adolescent depression in real-time and at a large scale is through their social communication on the smartphone (e.g., text messages, social media posts). Past research has shown that language from online social communication reliably indicates interindividual differences in depression. To move toward detecting the emergence of depression symptoms intraindividually, the present study tested whether sentiment (i.e., words connoting positive and negative affect) from smartphone social communication prospectively predicted daily mood fluctuations in 83 adolescents (M_age = 16.49, 73.5% femal

SUBMITTER: Li LY 

PROVIDER: S-EPMC10818010 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature