All models adjusted for age, gender, education, living conditions and response date

Aim 1: Compare perceived impact of pandemic on mental health and extent to which people cope between different mental health statuses

Compare people with and without mental health disorders using Chi Square test or t test

Exploratory factor analysis with principal axis factoring and oblimin rotation

Number of variables determined using eigenvalues, scree plot, factor loadings and conceptual plausibility

Scores computed using the average of items in the variables

Reliability of the data was determined with Cronbach’s a

The 3 variables were perceived mental health impact, fear of COVID 19 and positive coping

Linear regression is used to compare variables between people with different numbers and chronicity of mental health disorders

Aim 2: Changes in depressive symptoms, anxiety worry and loneliness before and during pandemic

Calculate average scores of QIDS, BAI, PSWQ, and DJGLS for baseline levels pre pandemic and use mixed models for comparisons before and during the pandemic