Problem
Research questions and friction points this paper is trying to address.
depressive symptoms
digital contexts
digital behavior
device and activity type
mixed findings
Depressive symptoms are reflected differently across digital contexts
🤖 AI Summary
研究结合抑郁症状评估与数字行为追踪，分析不同设备和活动类型下抑郁症状的反映差异，揭示了移动和桌面设备上抑郁症状表现的不同模式。
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
digital behavior
depressive symptoms
device and activity type
passively recorded web traces
context-specific associations
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