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Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students

2017; JMIR Publications; Volume: 19; Issue: 3 Linguagem: Inglês

10.2196/jmir.6820

1439-4456

Philip I. Chow, Karl Fua, Yu Huang, Wesley Paul Bonelli, Haoyi Xiong, Laura E. Barnes, Bethany A. Teachman,

Behavioral Health and Interventions

Background: Research in psychology demonstrates a strong link between state affect (moment-to-moment experiences of positive or negative emotionality) and trait affect (eg, relatively enduring depression and social anxiety symptoms), and a tendency to withdraw (eg, spending time at home). However, existing work is based almost exclusively on static, self-reported descriptions of emotions and behavior that limit generalizability. Despite adoption of increasingly sophisticated research designs and technology (eg, mobile sensing using a global positioning system [GPS]), little research has integrated these seemingly disparate forms of data to improve understanding of how emotional experiences in everyday life are associated with time spent at home, and whether this is influenced by depression or social anxiety symptoms.