European Journal of Molecular & Clinical Medicine

Aim: To evaluate the psychiatric morbidity using MINI questionnaire in patients diagnosed with
CKD.
Materials and Methods: Total 170 patients were interviewed over a period of one and a half
year starting from January 2014. Each patient was assessed twice: at the baseline and after 3
months. Patients were approached and after obtaining their consent, information was collected
about their socio-demographic details like age, sex, marital status and religion, duration of renal
illness (CKD). Each patient was then screened for psychiatric morbidity using MINI
questionnaire. Patients were then divided into two groups: those having psychiatric morbidity
and those without. The collected data was compiled in MS Excel sheet 2007. For analyses of this
data SPSS version 20 for Windows 7 was used.
Results: The study population consisted of patients between the ages of 18 to 72 years with the
mean age of 40.8(SD=14.8). There were 120 males (70.6%) and 50 females (29.4%) in the study
population. There were 134 married (78.8%), 30 single (17.6%) and 6 widowers (3.5%) in our
study population. 42 (24.70%) had a diagnosable psychiatric morbidity on Mini International
Neuropsychiatric Interview. The most common psychiatric diagnosis found in our study was
Major depressive disorder that was seen in 88.09% (n=37) patients followed by Generalized
anxiety disorder, which was seen in 3 patients (7.14%). Psychiatric morbidity was highest in the
age group of 51-60 years. Significant association was found between age group and psychiatric
morbidity (p<0.001). The impact of duration of illness and psychiatric morbidity revealed
significant association between these two factors (p<0.0001).

Objectives: In addition to the physical morbidity and mortality, COVID-19 Pandemic has created a mental burden on the population as a whole. In our present web based cross sectional study we tried to assess the prevalence of the sleep pattern and different psychological problem in young University students.
Material and Methods: Using a web based study we collected data from 100 University students who volunteered to participate. We analyzed the demographic data, generalized anxiety disorder (GAD), depressive symptoms and sleep quality.
Results: The overall prevalence of GAD, depressive symptoms and sleep quality of the students were 100%, 79% and 79% respectively. Bivariate regression analysis showed female students to be more likely to have mild anxiety and moderately severe depression whereas younger age students were more likely to have mild anxiety. There was a reduction in physical activity in 58% of students.
Conclusion: In our study, we found the recent COVID-19 outbreak as a major psychological burden for the student population irrespective of gender and age. Formulation of a prior guideline, targeted at such group of population during a pandemic is necessary to avoid the development of such psychological problems as well as their fatal consequences.