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Background Globally, the prevalence of internet addiction (IA) varies from 6% to 58% and emerging as a signicant behavioural addiction pandemic often coexisting with psychological problems. This study was done to estimate the prevalence and predictors of internet addiction among undergraduate college students of Jodhpur city. Methods Cross sectional study was done among 2035 college students of Jodhpur city between August 2018-October 2019. The study tool consisted of self-administered questionnaire including socio-demographic details, Young’s internet addiction scale, Pittsburgh Sleep Quality Index (PSQI) and DASS 21scale. Univariate and multivariate analysis was done using SPSS v.23. Results The prevalence of internet addiction was 51.0% (95% CI:48.8%-53.2%). Depression, anxiety and stress were highly correlated (r &amp;gt; 0.7). Hence, 3 separate binary logistic regression models were constructed. The predictors of IA common among all 3 models were male sex, age ≥20 years, age at first internet use ≤15 years, urban origin, accessing internet at college, mobile internet use, preference to make online friendship and sleep disturbance. Staying in hostel or paying guest accommodation was predictor in model 2 and 3. Students who screened positive for Depression, anxiety and stress had higher odds of IA. Conclusions Nearly half of study participants were internet addicts. IA was associated with depression, anxiety, stress and sleep disturbance. Key messages The study highlights the need for screening and management of both internet addiction and associated mental health problems with special focus on males and those staying away from home.

722Prevalence and predictors of internet addiction among college students in Jodhpur city, India