Introduction: NOMObile PHone PhOBIA (NOMOPHOBIA) is a psychological condition where people fear of being detached from mobile phone connectivity or use. Mobile phones became the main source of entertainment and academics during the lockdown enforced to contain COVID-19. The present study aims to find the change in the prevalence, severity, and characteristics of nomophobia among medical students. Materials and Methods: A cross-sectional study was conducted among medical students during September 2019 and after the second wave of COVID-19 in September 2021, using Google Forms. The form included sociodemographic data, clinical details, characteristics of mobile phone usage, and the Nomophobia Questionnaire (NMP-Q). The two groups (2019 and 2021) were matched using propensity score matching (PSM) analysis. Results: There were significant differences between the groups in terms of age, time spent and purpose of mobile phone usage, and frequently used mobile applications. Among the 2019 and 2021 groups, 99.50% and 99.54% had nomophobia, respectively. No significant differences were found between the groups in terms of severity, and dimensions of NMP-Q, except the dimension of “losing connectedness.” After PSM, similar results of nil significant differences, except the increase in severity of the dimension of “losing connectedness” in the 2021 group were found. Conclusion: The COVID-19 infection and lockdown, which happened during the era of technological advancement, have not changed the characteristics of nomophobia among medical students. However, post-COVID-19, there is a significant increase in the feelings of losing ubiquitous connectivity provided by mobile phones. If you find yourself always alert for phone notifications or reaching out to get your phone at frequent intervals, it’s time for a digital detox.

Background: It is common among medical students to incorrectly believe that they have contracted certain diseases they have recently studied. This belief can be seen in the form of health anxiety and investigating health-related information via the Internet. Cyberchondria denotes repeated online searches for health-related information that are associated with increasing levels of health anxiety. Aims: We aimed to study the prevalence and severity of cyberchondria among medical students and its correlation with sociodemographic and clinical data. Materials and Methods: A cross-sectional study was conducted on 400 consented medical students using online Google Forms. The form included demographic and clinical details and the Cyberchondria Severity Scale-15 (CSS-15) questionnaire. Means and standard deviations were calculated for continuous variables and percentages for categorical variables. The k-means clustering was done for grouping the participants. Spearman correlation and linear regression were done for analyzing the data. Results: The mean age of the participants was 19.28 ± 1.75 years. Females constituted 54.3% of the sample. About 24.5% of the students had previously diagnosed (medical/surgical/psychiatric) illness. The mean score of the CSS was 30.86 ± 9.44. Three clusters with 28%, 66%, and 6% of the students represented the CSS cluster center scores of 19.22 (mild), 34.10 (moderate), and 49.63 (severe), respectively. There was a significant positive correlation between total CSS score and previously diagnosed illness (r = 0.233, P = 0.000) and negative correlation with age (r = −0.151, P = 0.003) and year of study (r = −0.254, P = 0.000). Conclusion: The increasing prevalence of cyberchondria is an example of how digital technology may play an important role in facilitating the development of psychopathology.