ABSTRACT
Lockdown was implemented throughout the world in March 2020 to control the spread of covid-19 infection. It affected the mental health of people in various ways. This web-based cross-sectional survey was conducted in the general population of India with an aim to evaluate the mental health of the healthy individuals in the later stage of the lockdown period. Data on socio-demographic factors, anxiety, depression (HADS scale), perceived stress (PSS scale), insomnia (insomnia severity index), subjective psychological feeling of well-being (WHO-5 well-being Index), and attitude towards covid-19 (7-point Likert scale) was collected. Univariate regression analysis and Karl Pearson's correlation were used to analyze the correlation of mental health abnormalities with socio-demographic factors. 119 subjects of mean age of 36.03 +/- 18.04 years took part in the study. Their average number of days of stay at home during the lockdown and the average number of days of the lifestyle changes was 49.07 +/- 31.92 and 61.39 +/- 20.03 days, respectively. Depression, anxiety, stress, and clinical insomnia due to covid-19 were reported in 13.45%, 10.92%, 14.29%, and 11.76% subjects, respectively. There was a significant correlation of depression, anxiety, stress, and WHO-5 well-being score with age, socio-economic status, and the average number of days of the change in lifestyle due to the COVID-19 pandemic (P < 0.05). Therefore, the study concluded that the abnormalities of mental health were less prevalent in the older age group and lower socioeconomic status in the later phase of lockdown.