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Impact of Conversational and Animation Features of a Mental Health App Virtual Agent on Depressive Symptoms and User Experience Among College Students: Randomized Controlled Trial

Impact of Conversational and Animation Features of a Mental Health App Virtual Agent on Depressive Symptoms and User Experience Among College Students: Randomized Controlled Trial

Seventy-seven participants (36.8% of total sample) reported that they designed the virtual agent to resemble someone they know, such as a friend, sibling, parent, or current or former therapist. Of these participants, 40 (51.9%) reported experiencing depressive symptoms (z=0.33, P=.74). The remaining 37 participants (17.7%) reported making the virtual agent resemble a celebrity (n=3), a doctor or professional (n=2), or did not have a specific reason for their virtual agent design (n=32).

Stephanie Six, Elizabeth Schlesener, Victoria Hill, Sabarish V Babu, Kaileigh Byrne

JMIR Ment Health 2025;12:e67381

Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis

Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis

A 10% (77/763) sample of news media articles was independently coded by 2 researchers (HS and VP), and the Cohen κ statistic was calculated using the irr package in R Studio v.4.2.3 (Posit) to assess interrater reliability. A value of 10% was chosen by the research teams to ensure that a sufficient subsample was analyzed. The statistical analysis indicated almost perfect agreement between the 2 coders (κ=0.9) [40].

Hisba Shereefdeen, Lauren Elizabeth Grant, Vayshali Patel, Melissa MacKay, Andrew Papadopoulos, Leslie Cheng, Melissa Phypers, Jennifer Elizabeth McWhirter

JMIR Public Health Surveill 2025;11:e68724