2018
DOI: 10.1145/3191775
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Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing

Abstract: There are rising rates of depression on college campuses. Mental health services on our campuses are working at full stretch. In response researchers have proposed using mobile sensing for continuous mental health assessment. Existing work on understanding the relationship between mobile sensing and depression, however, focuses on generic behavioral features that do not map to major depressive disorder symptoms defined in the standard mental disorders diagnostic manual (DSM-5). We propose a new approach to pre… Show more

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Cited by 258 publications
(284 citation statements)
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“…
As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying affective processes such as depression (Wang et al, 2018). In the current study, we identified a positive relationship between smartphone screen time (e.g.
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confidence: 51%
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“…
As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying affective processes such as depression (Wang et al, 2018). In the current study, we identified a positive relationship between smartphone screen time (e.g.
…”
mentioning
confidence: 51%
“…Phone-related screen time, which we define here as the amount of time a phone is unlocked, or unlock duration, has previously been shown to be related to self-reported depression levels (Twenge et al, 2018;Wang et al, 2018). An exploratory analysis in Cohort 1 of the correlation between unlock duration and sgCC seedmaps identified a large cluster which extended from the anterior caudate to medial frontal orbitofrontal cortex and dorsally to medial prefrontal cortex, a result which was replicated in Cohort 2 with a smaller voxel extent, even though the sampling rate for screen time was greatly reduced, reducing our sensitivity to pick up individual differences in phone usage for this cohort.…”
Section: Discussionmentioning
confidence: 99%
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