Background The COVID-19 pandemic has become a source of fear worldwide and has negative mental health effects on the general population. In 2022, the epidemic continues to be characterized by many points, widespread and frequent in China, and the situation is serious and complex. To provide an effective and scientific tool, the study validated the Chinese version of the COVID-19 Phobia Scale (C19P-SC). Methods This study selected 1138 Chinese individuals (age ranged 13 to 80). Results Cronbach’s alpha coefficient for the C19P-SC was 0.93 (the coefficients of the four dimensions ranged from 0.75 to 0.85). The results of the confirmatory factor analysis supported the four-factor structure of the C19P-SC. Meanwhile, there was a positive and significant correlation between coronaphobia and state anxiety (r = 0.48, p < 0.001). The metric invariance hypothesis and the scalar invariance hypothesis were valid in the different subgroups. Significant multivariate effects of gender, education level, and identity differences on coronaphobia were found. Conclusions The Chinese version of the COVID-19 Phobia Scale has good psychometric properties and is suitable for measuring COVID-19 phobia in Chinese individuals.
Background: To understand the status of residents' awareness of and demand for hospice care services in Hangzhou and to provide a reference for promoting the formulation of hospice care-related policies in China. Methods: A small cross-sectional survey of 519 adults aged over 40 years old living in the rural-urban fringe and urban area of Xihu District, Hangzhou City, was conducted using convenience sampling and a self-designed questionnaire. The measures assessed awareness of hospice care (13-item scale), attitudes towards life support therapy (3-item scale), and demand for hospice care services (9-item scale). Results: The rate of awareness of hospice care among community residents was 50.30%. A total of 51.0% of residents wanted only comfortable life-sustaining treatment at the end of their lives. The acceptance of hospice care was positively correlated with the degree of understanding (x 2 = 18.382, P = 0.001), and residents in the urban area were more likely to prefer hospice care than residents in the urban-rural fringe (x 2 = 7.186, P = 0.028). Elderly residents showed a stronger tendency to prefer comfortable life support therapy (x 2 = 12.988, P < 0.001). A total of 83.04% of the residents accepted the current necessity for hospice care to be provided in medical institutions. The preferred locations were professional hospice care institutions or general hospitals. A total of 93.64% of the residents agreed that the number of beds in hospice care wards should not exceed 2. In addition, the residents could afford part of the out-of-pocket expenses for hospice care services, with the ability to pay under 200 yuan per day, and the improvement of facilities was expected. Conclusions: To improve public awareness and acceptance of hospice care and promote healthy development in China, it is necessary to promote hospice care education for everyone.
Bayesian reasoning is common and critical in everyday life while the performance on Bayesian reasoning is rather poor. Previous studies showed that people could enhance their performance by applying cognitive resources under the natural frequency format condition. Working memory is one of the crucial cognitive resources in the reasoning process. However, the role of working memory on Bayesian reasoning remains unclear. In our study, we verified the effect of working memory on Bayesian reasoning by evaluating the performance of participants with high and low working memory span (WMS); we also investigated if working memory as a kind of cognitive resource can affect Bayesian reasoning performance by manipulating the cognitive load in a dual-task paradigm among participants with no-, low-, and high-loads. We found the following:(1) The Bayesian reasoning performance of high WMS participants was significantly higher than that of low WMS participants. (2) Performance under natural frequency condition was noticeably higher than that in standard probability condition. (3) Interaction between working memory and probability format was significant, and the performance of participants with high-load in natural frequency condition was higher when compared to those of participants with no-and low-load. Therefore, we can conclude that: (1) Working memory resource is a major factor in Bayesian reasoning. The performance of Bayesian reasoning is influenced by working memory span and working memory load.(2) A Bayesian facilitation effect exists, and replacing the standard probability format with a natural frequency format can significantly improve Bayesian performance. (3) Bayesian facilitation occurs only in participants with sufficient working memory resources.
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