While there has been increasing attention to the role of social media during infectious disease outbreaks, relatively little is known about the underlying mechanisms by which social media use affects risk perception and preventive behaviors during such outbreaks. Using data collected during the 2015 Middle East Respiratory Syndrome coronavirus (MERS-CoV) outbreak in South Korea, this study explores the relationships among social media use, risk perception, and preventive behaviors by examining the mediating role of two self-relevant emotions: fear and anger. The findings demonstrate that social media use is positively related to both of these emotions, which are also positively related to the public's risk perception. The findings also indicate that social media use can significantly increase preventive behaviors via the two self-relevant emotions and the public's risk perception.

Our study suggests that it is important to attend to adolescents who are at high risk for Internet addiction, especially when they do not have parents, have stepparents, or perceive their economic status as either very low or very high.

No abstract

Background The aim of this study was to examine the relationship between types and amount of social activity and health-related quality of life according to gender and age group. Methods This study used data from the Community Health Survey (CHS), which was collected in 2011 and consisted of 229,226 participants aged 19 or older. A linear mixed effects model was used to evaluate the factors influencing health-related quality of life among individuals tracked in the CHS and, in particular, to analyze the associations between the amount and types of social activities participated in and the EuroQol EQ-5D assessment. Results We found that the average quality of life increased according to the amount of social activities individuals participated in (zero = 89.30, one = 93.28, two = 95.25, three = 96.27, four = 96.85). When people participated in one social activity, social activity was more strongly associated with EQ-5D in the elderly age group (males: 19–34 years = 0.195, 35–49 years = 0.642, 50–64 years = 1.716, ≥65 years = 4.408; females: 19–34 years = 0.170, 35–49 years = 0.502, 50–64 years = 1.411, ≥65 years = 4.180). More participation was positively associated with higher EQ-5D (one = 1.939, two = 2.377, three = 2.439, four = 2.515, p for trend < 0.0001). In females, those who participated in relationship organizations had a higher EQ-5D than those who participated in other types of social activities (Females ≥65 age group; Relationship = 4.373, Leisure = 2.620, Religion = 1.842, Charity = 1.544). Conclusion There was a positive association between the increase in the number of social activities and increase in health-related quality of life, especially when evaluated in terms of type of social activities and health-related quality of life according to gender and age group.

This study explored the generation gap in American consumers’ green perceptions and purchase intentions across four generations (Gen Z, Y, X, and Baby Boomers) from the perspectives of consumer socialization and social intelligence. Analyzing a nationally representative sample of adults in the United States ( N = 19,450), the survey results revealed that the American consumer’s green norms and beliefs varied by generation. A series of multiple regression analyses showed that each generation had similar but idiosyncratic beliefs in purchasing products from green companies. Theoretical and practical implications are discussed.