Mental health issues assessment using tools during COVID-19 pandemic.
Hamnah RaoMeenu GuptaParul AgarwalSurbhi BhatiaRajat BhardwajPublished in: Innovations in systems and software engineering (2022)
COVID-19 has brought distress among people as pandemic has impacted the globe not only economically or physically, but also psychologically by degrading their mental health. Several research were done in the past which tried to capture these issues but post-covid situation needs to be critically handled and analyzed so that corrective measures for cure and support can be taken. The current work is an attempt to observe the mental health issues (anxiety and depression) that occurred during the lockdown by combining a few pre-designed questionnaires. The online survey included 244 respondents (females = 126, males = 118) and when we thoroughly examined gender, age group, and occupational activity as three main factors, the results showed that female students aged 21-35 were affected more than male students of the same age group. In this study, we used a 4-item Geriatric Depression Scale (GDS-4) as a depression screening instrument and discovered that 225 out of total respondents were depressed. Using the Generalized Anxiety Disorder (GAD-7), a self-administered anxiety tool, we found 103 responders with mild, 87 with moderate, 12 with severe, and 42 with no anxiety symptoms. Patient Health Questionnaire (PHQ-9) showed the symptoms of mental disorders where 68 individuals had mild, 85 had moderate, 37 had moderately severe, 12 had severe, and 42 had no symptoms. With the help of multiple linear regression analysis, demographic data were evaluated, and later results were compared between GDS-4, GAD-7, and PHQ-9 using correlation coefficients. This will help practitioners and individuals to focus on their physiological health and adopt diagnostic measures.
Keyphrases
- mental health
- sleep quality
- coronavirus disease
- sars cov
- mental illness
- depressive symptoms
- early onset
- psychometric properties
- cross sectional
- healthcare
- high intensity
- public health
- health information
- primary care
- respiratory syndrome coronavirus
- physical activity
- social media
- electronic health record
- case report
- drug induced
- machine learning
- high school
- general practice