Related Experiment Video
Updated: Dec 9, 2025

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
'Standing together - at a distance': Documenting changes in mental-health indicators in Denmark during the COVID-19
Amy Clotworthy1, Agnete Skovlund Dissing1, Tri-Long Nguyen1
1Department of Public Health, University of Copenhagen Faculty of Health and Medical Sciences, Denmark.
Abstract:
Aims: There is a need to document the mental-health effects of the COVID-19 pandemic and its associated societal lockdowns. We initiated a large mixed-methods data collection, focusing on crisis-specific worries and mental-health indicators during the lockdown in Denmark. Methods: The study incorporated five data sources, including quantitative surveys and qualitative interviews. The surveys included a time series of cross-sectional online questionnaires starting on 20 March 2020, in which 300 (3×100) Danish residents were drawn every three days from three population groups: the general population (N=1046), families with children (N=1032) and older people (N=1059). These data were analysed by trend analysis. Semi-structured interviews were conducted with 32 people aged 24-83 throughout Denmark to provide context to the survey results and to gain insight into people's experiences of the lockdown. Results: Absolute level of worries, quality of life and social isolation were relatively stable across all population groups during the lockdown, although there was a slight deterioration in older people's overall mental health. Many respondents were worried about their loved ones' health (74-76%) and the potential long-term economic consequences of the pandemic (61-66%). The qualitative interviews documented significant variation in people's experiences, suggesting that the lockdown's effect on everyday life had not been altogether negative.
More Related Videos
08:25Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Stress and Mental Health
Individuals with depression often experience challenges in both their personal and professional...
Long-term Depression
Calcium Ion Concentration Mechanism
If over...
Long-term Depression
Depression: Overview
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities