ABSTRACT
India has the world’s largest newspaper market, with over 100 million copies sold daily. The media scapegoat, simplify, speculate, and sensationalize suicide?related news instead of signposting people to seek help. Suicide affects individuals, families, and communities and is worthy of responsible reporting. This study examined the quality of newspaper coverage of suicides from January to December 2017 in three popular English dailies in Bengaluru, South India. Three hundred and ninety?five online suicide reports were evaluated for compliance with the 2017 WHO recommendations for responsible suicide reporting by media professionals. The secondary data were obtained from digital newspaper archives and analyzed. Ahandful of the sampled articles met key recommendations. While reporting on suicide in the Indian media, three critical areas that require the most attention are reducing sensationalism, providing help-seeking information, and educating the public on suicide prevention without perpetuating myths.
ABSTRACT
Background: The Internet is a widely used tool known to foster addictive behavior, and Internet addiction threatens to develop into a major public health issue in the near future in a rapidly developing country like India. Objective: This cross-sectional study intends to estimate prevalence, understand patterns, and evaluate risk factors for Internet addiction among college students in the city of Bengaluru, India. Materials and Methods: Out of a total of 554 data samples from eight colleges selected through multistage cluster sampling, 515 samples were analyzed. Young’s 20-item Internet Addiction Test (IAT), an inventory including demographic factors and patterns of internet use, was administered. Results: This study of college students aged 16-26 years (mean ± SD 19.2 ± 2.4 years), with marginally high female representation (56%), identified 34% [95% confidence interval (CI) 29.91-38.09%] and 8% (95%, CI 5.97-10.63%) as students with mild and moderate Internet addiction respectively. Binary logistic regression found Internet addiction to be associated with male gender [adjusted odds ratio (AOR) 1.69, 95% CI, 1.081- 2.65, P = 0.021], continuous availability online (AOR 1.724, 95% CI, 1.018-2.923, P = 0.042), using the Internet less for coursework/assignments (AOR 0.415, 95% CI, 0.263-0.655, P < 0.001), making new friendships online (AOR 1.721, 95% CI, 1.785-2.849, P = 0.034), getting into relationships online (AOR 2.283, 95% CI, 1.424-3.663, P = 0.001). Conclusion: The results highlight the vulnerability of college students to Internet addiction. The findings provide explanations on the addictive behavior of the internet users, support the inclusion of “Internet Addiction” in the DSM-VI, and open up new paths for further research.