Depressive symptoms show different patterns across mobile and desktop use
Depressive symptoms are reflected differently across digital contexts
Human-Computer Interaction
Summary
Depressive symptoms show up in the way people use the internet, but these signs can look different depending on the device and activity. The authors collected data from over a thousand adults in Germany, tracking their phone and computer use while measuring depressive symptoms over six months. They found stronger links between depression and nighttime phone use, social media, and entertainment, while desktop use changes related mostly to physical symptoms and less news or shopping activity. This means depression-related digital behavior depends on what people do online and where, not just overall screen time.
What this means in practice
- •For mobile app developers: Design apps that detect signs of depression by analyzing nighttime activity and social media usage patterns unique to mobile devices.$Commercial implications: This research enables new mental health features in apps by identifying device- and activity-specific digital markers of depressive symptoms.
- •For healthcare data teams: Improve mental health monitoring by integrating separate mobile and desktop digital behavior data to capture diverse symptom indicators.
Authors
Yajing Wang, Emilia Marchese, Talayeh Aledavood, Juhi Kulshrestha
Abstract
As more of everyday life takes place online, digital behavior may provide a potential window into how depressive symptoms are reflected in daily life. Yet digital mental health studies have produced mixed findings. These inconsistencies may partly reflect how digital behavior is measured: self reported use, single device studies, and aggregate screen time can obscure differences across devices, activities, and patterns of engagement. We combined monthly assessments of depressive symptoms with passively recorded mobile and desktop web traces from 1,146 adults in Germany over six months. We examined how general, cognitive-affective, and somatic depressive symptoms are reflected across digital contexts defined by device and activity type. Associations varied markedly across these contexts. On mobile, more severe symptoms were associated with more nighttime activity, greater use of social media, messaging, and entertainment, and fewer but longer sessions. On desktop, associations were fewer and largely involved reduced engagement with news, shopping, and adult content. Mobile associations primarily arose for general and cognitive-affective symptoms, whereas desktop associations were concentrated in somatic symptoms. Our findings suggest that characterizing how depressive symptoms are reflected in digital behavior requires attending to what people do online and where, not only how much screens are used.