Background: The depression, anxiety and stress symptoms are increasing drastically among the student population due to COVID-19. These symptoms lead to change into life-threatening situations during COVID scenarios. Objectives: We studied the distribution of depression, anxiety and stress in a cohort of 1000 students population, from different institutions in central India. They were divided into four clusters based on their age, i.e. 15 __ampersandsignndash; 16 y, 17 __ampersandsignndash; 18 y, and 19 __ampersandsignndash; 20 y. Material and Method: We administered the Depression Anxiety Stress Scale (DASS -21) to all student populations to determine their depression, anxiety and stress symptoms. Each student was classified either as mild or moderate or extreme type based on his/her performance. Result: Prevalence of mild-moderate and extreme in the studied population was 30.9%, 64.2% and 4.9%, respectively. The Chi-square test of stress revealed a significant association between stress and gender (p__ampersandsignlt; 0.001) while it exhibited a non-significant association between anxiety and gender as well as depression and gender. The depression, anxiety and stress traits were compared using analysis of variance (ANOVA). Conclusion: Result depict that the independent factor age produced significant effects on depression (p__ampersandsignlt; 0.001) anxiety (p__ampersandsignlt; 0.001) and stress (p__ampersandsignlt; 0.001) traits. In particular, irrespective of different age groups, the 19-20y age group exhibit more anxiety (p__ampersandsignlt; 0.05) than that of their counterparts. However, a significant difference could not be validated within the age groups of depression and stress. The depression, anxiety and stress symptoms lead to change in psychiatric morbidity over time.