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

Background

Globally, the prevalence of internet addiction (IA) varies from 6% to 58% and emerging as a significant 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 > 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.

Prevalence and factors associated with effective helmet use among motorcyclists in Mysuru City of Southern India

BACKGROUND

Helmet use reduces the risk and severity of head injury and death due to road traffic crash among motorcyclists. The protective efficacy of different types of helmets varies. Wearing firmly fastened full-face helmet termed as effective helmet use provides greatest protection. This study estimates the prevalence and factors associated with effective helmet use among motorcyclists in Mysuru, a tier II city in Southern India.

METHODS

Cross-sectional road side observational study of 3499 motorcyclists (2134 motorcycle riders and 1365 pillion riders) at four traffic intersections was done followed by interview of random sample of 129 of the above riders. Effective helmet use proportion and effective helmet use per 100 person-minute of observation was calculated. Multivariate logistic regression analysis was done to identify factors associated with effective helmet use.

RESULTS

Prevalence of effective helmet use was 28 per 100 riders and 19.5 per 100 person-minute of observation in traffic intersections. Prevalence rates of effective helmet use was higher among riders (34.5% vs pillion riders 18.1%), female riders (51.3% vs male riders 26.8%), and male pillion riders (30.5% vs female pillion riders 13.7%). Riders commuting for work and school and those ever stopped by the police in the past 3 months had significantly higher odds of effective helmet use.

CONCLUSION

Despite helmet use being compulsory by law for motorcyclists, the effective helmet use was low in Mysore. Strict enforcement and frequent checks by the police are necessary to increase the effective helmet use.