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ABSTRACT: Background
Specialized studies have shown that smartphone-based social interaction data are predictors of depressive and anxiety symptoms. Moreover, at times during the COVID-19 pandemic, social interaction took place primarily remotely. To appropriately test these objective data for their added value for epidemiological research during the pandemic, it is necessary to include established predictors.Objective
Using a comprehensive model, we investigated the extent to which smartphone-based social interaction data contribute to the prediction of depressive and anxiety symptoms, while also taking into account well-established predictors and relevant pandemic-specific factors.Methods
We developed the Corona Health App and obtained participation from 490 Android smartph
SUBMITTER: Edler JS
PROVIDER: S-EPMC11443235 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature