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An App-Based Ecological Momentary Assessment of Undergraduate Mental Health During the COVID-19 pandemic in Canada (Smart Healthy Campus Version 2.0): Longitudinal Study (preprint)
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.03.22.23287598
ABSTRACT
This paper presents results from the Smart Healthy Campus 2.0 study/smartphone app, developed and used to collect mental health-related lifestyle data from 86 Canadian undergraduates January - August 2021. This was a longitudinal repeat measures study conducted over 40 weeks. A 9-item mental health questionnaire was accessible once daily in the app. Two variants of this mental health questionnaire existed; the first was a weekly variant, available each Monday or until a participant responded during the week. The second was a daily variant available after the weekly variant. Mixed models were fit for responses to the two variants and 12 phone digital measures (e.g. GPS, step counts). A second round of models was fit based on backward elimination to determine associations between the 12 digital measures and the variants. 6518 digital measure samples and 1722 questionnaire responses were collected. The daily questionnaire had positive associations with floors walked, installed apps, and campus proximity, while having negative associations with uptime, and daily calendar events. Daily depression had a positive association with uptime. Daily resilience appeared to have a slight positive association with campus proximity. The weekly questionnaire variant had positive associations with device idling and installed apps, and negative associations with floors walked, calendar events, and campus proximity. Physical activity, weekly, had a negative association with uptime, and a positive association with calendar events and device idling. SHC 2.0, via phone digital measures, identified indicators of lifestyle that appeared to be associated with measures of mental health in undergraduates during COVID-19.
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Full text: Available Collection: Preprints Database: medRxiv Main subject: Depressive Disorder / COVID-19 Language: English Year: 2023 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Main subject: Depressive Disorder / COVID-19 Language: English Year: 2023 Document Type: Preprint