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Aim The aim of this study was to explore the lifestyle/social, personality trait and mental factors among incoming university students with higher self-reported social anxiety symptoms ( SAS). Methods A total of 5126 incoming university students were recruited. The test battery included a self-administered questionnaire that examined personal lifestyle, the Measurement of Support Functions, the Chinese Internet Addiction Scale- Revision, the Organizational Citizenship Behaviour Scale, the Social Phobia Inventory, the suicide ideation from the Brief Symptoms Rating Scale and the Pittsburgh Sleep Questionnaire. Results SAS (23.7%) were prevalent. Using logistic regression analysis, we found that the significant predictors of higher levels of SAS were being an undergraduate student and a non-smoker, having lower Measurement of Support Functions score (poorer social support), having higher Chinese Internet Addiction Scale- Revision score ( Internet addiction), having lower Organizational Citizenship Behaviour Scale score (less altruistic behaviour), having suicide ideation and having higher Pittsburgh Sleep Questionnaire score (poorer sleeper). Conclusions Given the high prevalence of SAS among university students, it is necessary to build a better strategy to detect students with potential social anxiety-related problems/disorders or other mental problems early on. [ABSTRACT FROM AUTHOR]

Complex disasters have received greater attention because of the earthquake that struck Japan on 2011. Taiwan is not only in a region in which various disasters occur frequently, but because of its complex geological and topographical conditions plus overdevelopment of sensitive areas caused by rapid expansion of the tourism industry, many tourist areas are under direct threat, increasing the risk of safety of human life and impacting the overall economic development to a greater extent. The objective of this study is to examine the impact of complex disasters on the tourism industry in Taiwan. Using slopeland disasters as an example and employing the concepts of modern risk management, the study aims to strengthen and integrate relevant research results and techniques, such as analysis of potential disasters, analysis of structural vulnerability, and analysis of aggregate loss probability. The study provides suggestions related to complex disaster assessment patterns and management strategies in the tourism industry. It is expected that relevant information and results of the risk assessment analysis presented in this work not only benefits government departments, tourist facilities’ owners, insurance companies, and financial institutions, but also assists in effective management of risk stemming from natural disasters in relation to the tourism industry. [ABSTRACT FROM PUBLISHER]

Telehealth cost analysis has become a crucial issue for governments in recent years. In this study, we examined cases of metabolic syndrome in Hualien County, Taiwan. This research adopted the framework proposed by Marchand to establish a study process. In addition, descriptive statistics, a t test, analysis of variance, and regression analysis were employed to analyze 100 questionnaires. The results of the t$ test revealed significant differences in medical health expenditure, number of clinical visits for medical treatment, average amount of time spent commuting to clinics, amount of time spent undergoing medical treatment, and average number of people accompanying patients to medical care facilities or assisting with other tasks in the past one month, indicating that offering telehealth care services can reduce health expenditure. The statistical analysis results revealed that customer satisfaction has a positive effect on reducing health expenditure. Therefore, this study proves that telehealth care systems can effectively reduce health expenditure and directly improve customer satisfaction with medical treatment. [ABSTRACT FROM AUTHOR]