(1) Background: research on vaccines has received extensive attention during epidemics. However, few studies have focused on the impact of media use on vaccination behavior and the factors influencing vaccination in groups with different media use degrees; (2) Method: Based on seven items related to media use, a total of 11,031 respondents were categorized by the frequency of media use by using latent profile analysis (LPA). Binary regression analysis was used to study the factors that influence the vaccination behaviors of people with different media use frequencies; (3) Results: All respondents were classified into the following three groups: media use low frequency (9.7%), media use general (67.1%), and media use high frequency (23.2%). Media use low frequency (β = −0.608, p < 0.001) was negatively associated with COVID-19 vaccination behavior. In the media use low frequency, analysis showed that “aged 41 years or older” β = 1.784, p < 0.001), had religious belief (β = 0.075, p < 0.05), were ethnic minorities (β = 0.936, p < 0.01) and had friends support (β = 0.923, p < 0.05) were associated with a preference to accept the COVID-19 vaccine. In the media use general, those who aged 41 years old and older (β = 1.682, p < 0.001), had major depression (β = 0.951, p < 0.05), had friends support (β = 0.048, p < 0.001) would be more likely to receive COVID-19 vaccination. However, respondents who live in towns (β = −0.300, p < 0.01) had lower behaviors to receive vaccination for COVID-19. In the media use high frequency, the respondents who aged 41 or older (β = 1.010, p < 0.001), were ethnic minorities (β = 0.741, p < 0.001), had moderate depression(β = 1.003, p < 0.05)would receive the vaccination for COVID-19 positively; (4) Conclusions: The more occluded the media use is, the less likely the respondents are to get vaccinated against COVID-19. Vaccination behavior is influenced by different factors in groups with different frequencies of media use. Therefore, the government and appropriate departments should make individualized and targeted strategies about COVID-19 vaccination and disseminate the vaccination information to different media use groups.

BackgroundPrevious studies have paid attention to media as an important channel for understanding organ donation knowledge and have not divided groups according to the degree of media use to study their differences in organ donation. Therefore, the purpose of this study is to explore the influence of media use on organ donation willingness and the influencing factors of organ donation willingness of people with different media use levels.MethodsA cross-sectional study of residents from 120 cities in China was conducted by questionnaire survey. Using Mplus 8.3 software, the latent profile analysis of seven media usage related items was made, and multiple linear regression was performed to analyze the influence of varying levels of media use on organ donation willingness of different population.ResultsAll the interviewees were divided into three groups, namely, “Occluded media use” (9.7%), “Ordinary media use” (67.1%) and “High-frequency media use” (23.2%). Compared with ordinary media use, high-frequency media population (β = 0.06, P &lt; 0.001) were positively correlated with their willingness to accept organ donation, residents who used media occlusion (β = −0.02, P &lt; 0.001) were negatively correlated with their willingness to accept organ donation. The influencing factors of residents' accept willingness to organ donation were different among the types of occluded media use, ordinary media use and high-frequency media use.ConclusionIt is necessary to formulate personalized and targeted dissemination strategies of organ donation health information for different media users.

Food safety is vital to the development of human society. On December 20, 2018, the United Nations General Assembly adopted resolution 73/250 proclaiming a World Food Safety Day. As of 2019, every June 7 is a time to increase social awareness of food safety and to encourage actions for good health promotion. The Third World Food Safety Day on June 7, 2021 aims to draw attention and inspire action to help prevent, detect, and manage foodborne risks, contributing to food security, human health, economic prosperity, agriculture, market access, tourism, and sustainable development (1).Food safety risk communication shifts from the traditional approach of one-way sender-oriented to a two-way audience-oriented communication approach. International organizations have achieved consensus that recent advancement of technologies and institutions fundamentally impact how the public perceive, communicate, and react to food safety risk issues. It is crucial to conduct audience analysis to gain a comprehensive understanding of risk perception and communication. For instance, the European Food Safety Authority (EFSA) recommended an audience analysis approach for food-related risk communication practices. Data-driven insights are encouraged by EFSA's Social Science Roadmap (2019-2021) (2). It is key to identify and segment audiences, to measure understanding of public information, and to tailor communication methods. The importance of producing and delivering public information through partnership approach and social media integration are also emphasized (3).

The direct impact of smartphones on health risk behaviors of adolescent students has been verified. However, the mediating mechanisms that underly this relationship remain largely unknown. Therefore, the aim of the study is to explore the role of family health in mediating the relationship between the frequency of smartphone use and adolescent students’ health risk behaviors. A questionnaire was used to collect cross-sectional data from 693 adolescent students aged 12–18 in China and a structural equation model was analyzed. Among the nine health risk behaviors, the most frequent health risk behaviors in Chinese adolescent students were non-compliance walking behaviors (M=Mean; SD = Standard deviation) (M ± SD) (2.78 ± 1.747), eating unhygienic food (M ± SD) (2.23 ± 1.299), being subjected to physical violence (M ± SD) (2.19 ± 0.645), and leaving home (M ± SD) (2.13 ± 0.557). The SEM results showed that the adolescent students’ smartphone use had a positive impact on delaying the age of first alcohol consumption (β = 0.167, CI:0.067 0.287) and a negative impact on the non-compliance walking behaviors (β = 0.176, CI:0.011 0.266). Family health plays an indirect-only mediated role (the proportions of indirect-only mediated roles are 11.2%, 12.4%, and 11.5%) in the relationship between smartphone use and adolescent students’ partial health risk behaviors: (CI: −0.042 −0.002), (CI: −0.049 −0.005), and (CI: −0.043 −0.002). These findings provided a theoretical and practical basis for better interventions in adolescent health risk behaviors.

BackgroundPrevious studies have emphasized the media as an essential channel for understanding information about depression. However, they have not divided groups according to the degree of media use to study their differences in depression. Therefore, this study aims to explore the influence of media use on depression and the influencing factors of depression in people with different media use degrees.MethodsBased on seven items related to media use, a total of 11, 031 respondents were categorized by the frequency of media use using latent profile analysis (LPA). Secondly, multiple linear regression analyzes were conducted to analyze the effects of depression in people with different degrees of media use. Finally, factors influencing depression among people with different degrees of media use were explored separately.ResultsAll respondents were classified into three groups: media use low-frequency (9.7%), media use general (67.1%), and media use high-frequency (23.2%). Compared with media use general group, media use low-frequency (β = 0.019, p = 0.044) and media use high-frequency (β = 0.238, p &lt; 0.001) groups are significantly associated with depression. The factors influencing depression in the population differed between media use low-frequency, media use general, and media use high-frequency groups.ConclusionThe government and the appropriate departments should develop targeted strategies for improving the overall health status of people with different media use degrees.