Impact of COVID-19 on mental health of children: Stress response profiles and school based intervention
Mood Disorders Centre Think Tank Seminar Series
Our guest speaker is Yinyin Zang from Peking University in China
A Mood Disorders Centre seminar | |
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Date | 10 December 2021 |
Time | 12:00 to 13:00 |
Place | Online via Zoom |
Organizer | Mood Disorders Centre |
Event details
Abstract
The first study used the latent profile analysis to examine the parent-child stress response profile with salivary cortisol levels and children’ posttraumatic stress symptoms (PTSS) in 119 primary school students in Hubei province during and after the outbreak of COVID-19 in China. The LPA analysis found five family stress response profiles: affected after the pandemic (1), unaffected (2), the resilient group (3), high cortisol (4), and affected during the pandemic group (5). This study indicated that parents’ mental health could influence children’s cortisol levels and PTSS during and after the COVID-19 pandemic. For the second study, we invested whether a combination of Cognitive Behavioral Therapy (CBT) course and Guided Narrative Writing (GNT) was efficacious in reducing anxiety symptoms in primary school students. The CBT course and GNT was offered in a rural area primary school in Hubei Province where COVID-19 started the spread. All four classes of 5th grade students received 3 days of CBT course, and then were randomized to two groups which received either 3 days or GNT-writing or GNT-drawing. The results indicated that the 3-day CBT course was effective in reducing anxiety symptoms for primary school students. Compared to the drawing group, GNT-writing showed better outcome on reducing anxiety symptoms at 6-month follow-up.
This seminar will NOT be recorded, therefore, we ask everyone attending not to make any recordings or stills (photographs) of any part of the seminar and protect one another’s privacy.
Participation in the online seminar will be taken to indicate acceptance of these terms.
Zoom Meeting ID & Password
Meeting ID: 989 7114 8631
Password: 689672