Factors Affecting Zero-Waste Behaviours of College Students.

This study evaluated the recognition and attitude toward microplastic and zero waste among college students and investigated the factors influencing their zero-waste behaviours. The study was conducted from 20 August 2021 to 10 September 2021, including students at a university in G metropolitan city, Republic of Korea. A total of 196 data were analysed. Statements were developed to verify how the use of disposables and the recognition, attitude, and behaviours related to zero waste were affected during the COVID-19 pandemic. Family type and usage of disposables were the factors affecting zero-waste behaviour in Model 1. In Model 2, which included the subcategory of zero-waste recognition, the health effects of microplastics and environmental preservation were significant factors. In Model 3, which included the subcategory of zero-waste attitude, the health effects of microplastics (ß = 0.149, p = 0.016), use of eco-friendly products (ß = 0.342, p < 0.001), and environmental preservation (ß = 0.317, p < 0.001) were significant factors. The use of plastic products increased dramatically during the COVID-19 pandemic. Research and education are needed to promote zero-waste behaviours with a focus on microplastics. Raising awareness of the health effects of microplastics can enhance the effectiveness of education.

Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study.

BACKGROUND: Prolonging the end-of-life process means that the duration of health care work increases and the management of death is delegated to health care providers by patients' families. Thus, it is important to explore measures to enhance the quality of end-of-life care by identifying the predictors thereof. End-of-life care should be people-centred, relieving serious health-related suffering, be it physical, psychological, social, or spiritual. Nurses who provide end-of-life care usually spend the most time with dying patients, administering care to help patients who wish to die with dignity; therefore, end-of-life nursing care is highly significant. METHODS: This study was conducted on nurses of 500-bed or larger university hospitals in city D and province C in South Korea from 20 August to 10 September 2020 using a structured questionnaire. A total of 213 nurses with a minimum clinical career of one year and at least one EOLC experience participated. The final analysis sample consisted of 206 nurses. Descriptive analysis, Pearson's correlation coefficients, ANOVA, t-test, and multiple-regression analysis were used to analyse the data. RESULTS: This study found that end-of-life care performance was significantly positively correlated with end-of-life care stress [r = .253, p < .001], sense of calling [r = .424, p < .001], and resilience [r = .397, p < .001]. End-of-life care stress [ß = .185, p = .003], sense of calling [ß = .259, p < .001], resilience [ß = .252, p < .001], and working in a hospice ward [ß = .140, p = .041] or intensive care unit [ß = .218, p = .008], as opposed to the emergency department, were identified as predictors of end-of-life care performance. These factors explained 28.3% of the variance in the end-of-life care performance in this study. CONCLUSIONS: Boosting the sense of calling and resilience among nurses providing palliative care can improve overall end-of-life care performances. Subsequent studies should develop and evaluate interventions and programs that could improve these factors to ensure a positive change in health care and enhance the quality of end-of-life care in hospitals.

Latent Class Analysis of Health Behavior Changes Due to COVID-19 among Middle-Aged Korean Workers.

The purpose of this study was to identify the latent class for changes in health behavior due to COVID-19, reveal the characteristics of participants by type, and identify predictive factors for these types. The participants of this study were office workers between the ages of 40 and 60 and secondary data from the 2020 Community Health Survey of G city was utilized. Latent class analysis was performed on physical activities such as walking and exercise, eating fast food or carbonated drinks, eating delivered food, drinking alcohol, and smoking. Three types of health behavior changes due to COVID-19 were found: (1) decrease in all health behavior type, (2) increase in fast food and delivered food type, and (3) increase in smoking maintenance type. Second, the variables predicting the three types after controlling for general characteristics were health problems, social distancing among the COVID-19 quarantine rules, refraining from going out, and meeting with friends and neighbors and had an impact on COVID-19 life. It is necessary to strengthen non-face-to-face health promotion activities along with quarantine rules for COVID-19. In addition, there is a need for a health management plan for people with non-visible risk factors such as obesity and high blood pressure.