The role of social support on the relationships between internet use and sleep problems in adolescents during COVID-19 pandemic: a multicentre study.

BACKGROUND: This study examines the frequency of problematic internet use and sleep problems in adolescents aged 14-18 years during the COVID-19 pandemic and identifies the impact of factors such as sociodemographic characteristics, internet habits, changes in daily life, and perceived social support on these problems. METHODS: This multicentre study was a questionnaire-based online survey study. The questionnaire included the Young Internet Addiction Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Scale of Perceived Social Support, as well as questions about demographic information, internet habits, and changes in daily life during pandemic. Several multivariate Backward logistic regression models were run to determine the variables that predicted problematic internet use and poor sleep quality. RESULTS: It was determined that the frequency of problematic internet use was 15.5%, and the frequency of poor sleep quality was 47.8%. Poor sleep quality was found 2.5 times higher in problematic internet users. The perceived social support was found insufficient in adolescents with problematic internet use and poor sleep quality. Various factors such as the excessive use of internet and social media, low school success, lack of physical activity, lack of rules for internet use at home, and worsening of relationships with parents were found to be predictive factors for these problems. CONCLUSIONS: Problematic internet use during the pandemic is associated with worsening sleep quality in adolescents. It is important to create special interventions for problematic internet use and sleep problems that develop in adolescents as a result of restrictions during the pandemic.

Parents' Attitudes toward Childhood Vaccines and COVID-19 Vaccines in a Turkish Pediatric Outpatient Population.

Vaccination hesitancy (VH) is an important public health issue. The determinants of parental decisions on whether to vaccinate their children are multidimensional and need to be carefully considered in the COVID-19 era. Our study aims to investigate the prevalence of VH among parents, parents' use of social media, and their attitudes toward the COVID-19 vaccine upon vaccine refusal. MATERIALS AND METHODS: Our participants were the parents of children admitted to hospitals in three different cities in Turkey between September 2021 and December 2021. The parents were asked to complete sociodemographic data and their attitudes toward COVID-19 diseases, the Parental Attitudes Toward Childhood Vaccines (PACV) scale, and the Attitudes Toward COVID-19 Vaccine (ATV-COVID-19) scale. Participants were categorized as "non-hesitant", with a score of <50, and "hesitant", with a score of ≥50. RESULTS: A total of 1087 parents with a mean age of 33.66 (SD 9.1) years old participated in the study. VH was noted in 102 (9.38%) parents. Age, gender, education, and income levels did not significantly differ from one another, according to the PACV; however, parents who delayed vaccinating their children and indicated that social media had an impact on vaccination decisions were more hesitant. Parents who were male and had a family member diagnosed with COVID-19 showed more positive attitudes in the ATV-COVID-19. Parents who were hesitant about childhood vaccinations had lower positive attitudes toward the COVID-19 vaccine (2.84 ± 0.97) than parents who were not hesitant (3.77 ± 0.9). A total of 761 (70.14%) parents need more information about childhood immunizations. CONCLUSION: Parents who are hesitant about childhood immunization programs in Turkey have a less positive attitude toward COVID-19 vaccines and are affected by social media. Parents need information about vaccines, and because the controversy surrounding COVID-19 vaccines can diminish parents' confidence in routine childhood immunizations, understanding the complex causes behind vaccination hesitancy can help public health policy break through barriers and increase immunization rates.

The dramatic increase in anti-vaccine discourses during the COVID-19 pandemic: a social network analysis of Twitter.

BACKGROUND/AIM: The first case of COVID-19 in Turkey was officially recorded on March 11, 2020. Social media use increased worldwide, as well as in Turkey, during the pandemic, and conspiracy theories/fake news about medical complications of vaccines spread throughout the world. The aim of this study was to identify community interactions related to vaccines and to identify key influences/influencers before and after the pandemic using social network data from Twitter. MATERIALS AND METHODS: Two datasets, including tweets about vaccinations before and after COVID-19 in Turkey, were collected. Social networks were created based on interactions (mentions) between Twitter users. Users and their influence were scored based on social network analysis and parameters that included in-degree and betweenness centrality. RESULTS: In the pre-COVID-19 network, media figures and authors who had anti-vaccine views were the most influential users. In the post-COVID-19 network, the Turkish minister of health, the was the most influential figure. The vaccine network was observed to be growing rapidly after COVID-19, and the physicians and authors who had opinions about mandatory vaccinations received a great deal of reaction. One-way communication between influencers and other users in the network was determined. CONCLUSIONS: This study shows the effectiveness and usefulness of large social media data for understanding public opinion on public health and vaccination in Turkey. The current study was completed before the implementation of the COVID-19 vaccine in Turkey. We anticipated that social network analysis would help reduce the "infodemic" before administering the vaccine and would also help public health workers act more proactively in this regard.