Introduction: Internet pornography use is a sexual behavior, and it comprises a variety of online sexual activities, including watching pornography, online pornography exchange, and engaging in sex chats. Due to rise in Internet access and technologies, online pornography and other type of repetitive behaviors have increased. The current study was aimed to estimate the prevalence of problematic pornography consumption among undergraduate medical students. Methods: A multicenter, cross-sectional study was carried out at seven different centers of Gujarat from October 2020 to December 2020. Online structured questionnaire in two different parts: (1) Demographic details and usage pattern of pornography among students, (2) Problematic Pornography Consumption Scale was prepared and shared with all undergraduate students through designated faculty. Logistic regression analysis was used for problematic pornography consumption (as dependent variable) and other categorical variables as independent variables. Results: A total of 1926 participants completed the study. The prevalence of problematic pornography consumption among participants was 14.6% (95% confidence interval 12.4–16.1). Male participants and participants who are in a romantic relationship have higher problematic pornography consumption. Participants' gender (odds ratio OR = 3.562), relationship status (OR = 1.636), weekly (OR = 1.749), and daily (OR = 1.733) pornography consumption emerged as statistically significant with the problematic pornography consumption from the logistic regression analysis. Conclusion: Problematic pornography consumption is more prevalent among male under graduate medical students than females. It is important to educate the students about the potential harmful adverse effects of pornography and to develop a positive attitude toward sex.

Background: There has been a significant surge in the usage of smartphones, Internet, social media platforms, and also the growing concern about the impact of Internet, gaming, and social media addiction (SMA) on mental health in the community since the last decade. Aim: This study is aimed to know the pattern of social media use and social anxiety (SA) among medical undergraduates with SMA. Materials and Methods: This was a 12-month cross-sectional, observational study of 640 medical undergraduates. Social media disorder scale was used to detect SMA and Liebowitz social anxiety scale was used to detect SA. Descriptive statistics, independent t-test, and Chi-square test were used for the analysis of data. Results: According to our findings, 11.04% of the participants had SMA. More than 60% of the participants with SMA spent 2 h or more time on social media in a day. About 29.41% of students with SMA spent more money compared to 11.86% of nonaddicted ones. About 47.05% of students with SMA reported fear of missing out (FoMO) as compared to 34.12% of nonaddicted students. Participants with SMA reported a significantly higher level (P < 0.05) of SA (SA score 67.63) compared to social media nonaddicts (SA score 49.43). Conclusion: Medical undergraduates with SMA spent more time and money on Internet, reported FoMO, frequently checked notifications, and reported regular substance use. They also had high SA; vice versa is also true.