A Study on Internet and Gaming Addiction, Hikikomori Trait and Insomnia Status among Medical Undergraduates at one of Cities of Western India

Background: College students appear more vulnerable in developing a dependence on the internet. Individuals with hikikomori are frequently reported to have social contact predominantly via the internet. Objectives: To find the prevalence of Internet addiction, gaming Addiction, Hikikomori Trait and Insomnia amongst medical undergraduates and to study their association with various determinants. Methodology: The present Cross-Sectional study was conducted among first to final-year medical students studying at various medical colleges in Indian City from February to May 2021. Data collection was done after obtaining the ethical permission of the Institute. A total of 400 students who gave consent were sent an electronic questionnaire. Results: The mean age of study participants was 20 ± 1.58 years. Internet addiction was present in 189(47.2%) participants, gaming addiction in 128 (32%) students and Hikikomori Trait was found in 98(24.5%) students. There was a statistically significant association between different grades of insomnia and internet, gaming addiction, and hikikomori trait (<?0.0001) in the present study. Conclusion: Internet addiction was present in almost half of the medical students while gaming addiction was seen in nearly one third of the students. Male gender and hostel stay had a statistically significant association with internet addiction, gaming addiction, insomnia and hikikomori trait

A Hospital based cross sectional study to find out factors associated with disease severity and length of hospital stay in COVID-19 patients in Tertiary Care Hospital of Ahmedabad city

Background: Tertiary hospital care may vary from isolation bed ward care to high dependency units (HDUs) with oxygen support to intensive care unit (ICU) where patients may be intubated for mechanical ventilation The major risk factors for severe disease are age more than 60 years and underlying diseases like diabetes, hypertension. COVID-19 patients present at varying levels of severity. Understanding how long patients hospitalized with COVID-19 remain in hospital is critical for planning. Objectives: 1. To determine risk factors associated with disease severity 2. To determine risk factors associated with length of hospital stay in COVID-19 patients 3. To study the disease outcome Material & Methods: This was retrospective record-based study of inpatients with COVID-19 at Tertiary Care Hospital of Ahmedabad City. All patients admitted at tertiary care hospital diagnosed with COVID-19 between April 2020 to June, 2020, were included in present study. Inclusion criteria were all COVID-19 patients admitted at tertiary care hospital during the duration of April 2020 to June 2020. Results: A total of 916 COVID-19 patients were included in the study. Out of 916 total admitted patients 526 (57.4%) were male. 174 (19%) patients having one or more comorbidities like diabetes, hypertension, tuberculosis, heart diseases etc. Total 769 discharged (83.9%), 115 deaths (12.6%) and 32 transferred to other COVID-19 hospital (3.5%) out of total 916 patients admitted during study period. Conclusion: Severity of disease and deaths were associated with age and comorbidities. COVID-19 patients with comorbidities have more deteriorating outcomes compared with patients without