OBJECTIVE
This study examined the factors associated with nurses' willingness to respond in a disaster.
BACKGROUND
Nurses are key personnel in case of disasters, and therefore, understanding factors associated with willingness to respond is important.
METHODS
Questionnaires were distributed to 200 nurses recruited from 2 public hospitals in Seoul, Korea. Data were collected in January and February 2018 and 181 responses were analyzed.
RESULTS
Factors predicting willingness to respond in a disaster among public hospital nurses were level of education, self-efficacy, and disaster management competency.
CONCLUSIONS
Providing well-organized disaster preparedness and response training programs would enhance nurses' level of knowledge about disasters. In addition, training could improve nurses' self-efficacy and disaster management competency, which should enhance willingness to respond in a disaster.
In the Olympic Games, professional athletes representing their nations compete regardless of economic, political and cultural differences. In this study, we apply gravity model to observe characteristics, represented by 'distances' among nations that directly compete against one another in the Summer Olympics. We use dyadic data consisting of medal winning nations in the Olympic Games from 1952 to 2016. To compare how the dynamics changed during and after the Cold War period, we partitioned our data into two time periods (1952-1988 and 1992-2016). Our research is distinguishable from previous studies in that we newly introduce application of gravity model in observing the dynamics of the Olympic Games. Our results show that for the entire study period, countries that engaged each other in competition in the finals of an Olympic event tend to be similar in economic size. After the Cold War, country pairs that compete more frequently tend to be similar in genetic origin.
Following the COVID-19 pandemic, disease prevention and preventive behaviors have become crucial for public health. In young adults, the internet is a popular source of health information. However, research that explores the factors associated with disease preventive behaviors based on the eHealth literacy (eHL) and the Health Belief Model (HBM) in young adults is lacking. A cross-sectional study design was used. Snowball sampling was used to recruit the participants through social network services. Proportionate stratified sampling was applied according to age, sex, and education level to mitigate sampling bias. The URL link for the online survey was provided via their mobile phones. A total of 324 participants, aged 20 to 39, completed the structured questionnaires (response rate = 98.2%). Frequency and descriptive statistical analyses, independent t-tests, one-way analyses of variance, Pearson’s correlation coefficients, and multiple linear regression analyses were performed. Factors associated with COVID-19 preventive behaviors were COVID-19-related eHL (β = .376, P < .001) and self-efficacy (β = .221, P < .001), which were positively associated with COVID-19 preventive behaviors. Boosting self-efficacy and the ability to find, evaluate, and apply health information with sufficient evidence from the Internet can improve COVID-19 preventive behaviors. The government and healthcare personnel should consider psychological factors such as self-efficacy when developing COVID-19 disease prevention behavioral guidelines for the Internet.
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