Aslıhan Çatıker

Bio: Aslıhan Çatıker is an academic researcher from Ordu University. The author has contributed to research in topics: Nursing care & Nurse education. The author has an hindex of 2, co-authored 10 publications receiving 6 citations.

Fatalism, fear, and compliance with preventive measures in COVID-19 pandemic: A structural equation modeling analysis.

Abstract: OBJECTIVES: This study was conducted to develop and evaluate a theoretical model to explain the relationships among participation in individual and social activities, compliance with prevention guidelines, and the perception of fatalism and fear of COVID-19. METHODS: Cross-sectional survey of 1,067 participants who were >18 years of age living in different provinces of Turkey recruited between August 15, 2020 and October 15, 2020. We used covariant structural analysis to assess the relationships of the constructs of the theoretical model. RESULTS: Significant fits were detected for Model 1 (χ2 = 924,389, p < .001, comparative fit index or CFI = 0.944), and for Model 2 (χ2 = 2,253,751, p < .001, CFI = 0.926). The predetermination and luck subdimensions reduce the fear of COVID-19, while the pessimism subdimension and compliance with preventive measures increase the fear. CONCLUSION: In public health crises such as COVID-19, it is important to plan scientific knowledge-based public education; take initiatives in accordance with the cultural, social, economic, religious, and local characteristics of the societies; and conduct public health studies covering the whole society.

Intention to migrate among the next generation of Turkish nurses and drivers of migration.

Abstract: Aims To determine the main driving factors affecting the senior nursing students in their decision to migrate and to evaluate the effect of attitude towards migration in career planning. Background In order to promote the nursing workforce, it is important to understand the factors affecting the decisions to migrate. Method A cross-sectional study was conducted with 1,410 Turkish nursing students. The data, which were collected using the Descriptive Form and Attitude Scale for Brain Drain (BD-s), were analysed with the multiple regression and decision tree analysis. Results The mean score of attitudes towards migration was 56.30 ± 12.09 (min 16- max 80). The main push-pull drivers to migrate were the socio-political factors and working conditions. The BD-s score was higher in the participants, who had overseas experience, had career plans and studied in a metropolitan city. The strongest variable predicting career planning was the attitude towards migration. Conclusion The opinions of the students on career planning and their intentions to migrate indicated that the shortage of nurses would continue in Turkey in the future. Implications for nursing management The prospects of the nursing candidates regarding the nursing profession should be addressed considering their expectations for initial salaries, career development and salary increases.

Food Insecurity and Affecting Factors in Households With Children During the COVID-19 Pandemic: A Cross-Sectional Study.

Abstract: OBJECTIVE: The aim of this study was to examine the incidence of food insecurity and affecting factors in households with children in Turkey during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This is a cross-sectional study. The participants were recruited by the snowball sampling method, and the data were collected by means of a link sent to their smartphones through their social media accounts. This study included 211 households with at least 1 child. RESULTS: The study revealed that 21.8% households had food insecurity that was not at the hunger threshold. The monthly income of 80.6% of the households was below the poverty line and monthly income decreased in more than half of the households during the pandemic. Food insecurity increased 2.5 times when the households comprised workers or self-employed individuals (odds ratio [OR] = 2.529; P = 0.002), increased 3 times when the monthly income of the households decreased (OR = 3.131; P = 0.000), and increased 2 times when total monthly income of the household fell below poverty line during the pandemic (OR = 2.001; P = 0.049). CONCLUSIONS: It is determined that nearly half the households have food insecurity and that the pandemic poses a risk in terms of food security. We recommend that public health studies should be planned to ensure accessibility to healthy foods.

Pro-abortion attitude with context of traditional and professional identity dilemma:

Abstract: Background:Nurses are in a key position for reproduction health service delivery Therefore, it is thought that it would be important to inspect opinions of student nurses, who will be health emplo

Fatalism in the Early Days of the COVID-19 Pandemic: Implications for Mitigation and Mental Health

Abstract: This research assessed fatalism toward COVID-19 and its role in behavioral intentions to support mitigation efforts (e. g., social distancing) and mental well-being. A COVID-19 fatalism measure was developed, and a messaging manipulation (fatalistic vs. optimistic vs. no message) was created to examine causal links between fatalism scores. Support for mitigation efforts and negative affect (anxiety, fear, depression, and insecurity) were measured to examine the consequences of fatalism toward COVID-19. Results showed that the fatalistic messaging condition increased fatalism whereas the optimistic message reduced it. The effects of the messaging manipulation were also apparent in the downstream measures of support for mitigation and negative affect through the mediator of fatalism toward COVID-19. Specifically, fatalism negatively predicted intentions to support mitigation. Regarding mental health, fatalism was positively associated with depression but negatively associated with fear and insecurity. Implications for COVID-19 mitigation efforts and mental health in the face of the coronavirus pandemic are discussed.

Identifying Predictive Factors in Compliance with the COVID-19 Containment Measures: A Mediation Analysis.

Abstract: Introduction The outbreak of the COVID-19 pandemic has led governments to implement some containment measures to flatten the curve of the diffusion of the virus. The current study aims to investigate individual differences in compliance with these restrictive behaviors. In a sample of Italian individuals (N = 300), we examined whether sociodemographic factors, personality traits, fatalism, and fear could be considered as possible predictors. Methods We performed a series of standard multiple regression analyses and proposed a mediation analysis to test the associations among variables. Results Overall, our results suggested that men are less likely to engage in preventive behaviors, younger individuals are more reluctant to adhere to social distancing mandates, and fear has a functional role in predicting positive outcomes. Conclusion The results of our analyses are discussed and suggestions for future research are provided.

Attitude of Health Care Workers and Medical Students towards Vaccination against COVID-19

Abstract: The role of medical personnel in promoting vaccination and pro-health attitudes seems to be of key importance for protection against COVID-19. The aim of the study was to assess the attitudes of health care workers and students of medical faculties towards preventive vaccinations against COVID-19. A cross-sectional online self-administered survey was conducted among 497 people. The questions concerned attitudes towards vaccination as well as concerns about the side effects of the vaccine and contracting COVID-19. A positive attitude to vaccination was observed in 82% of the respondents. More than 54% respondents were concerned about side effects after COVID-19 vaccination. Medical students under 26 years had a more positive attitude towards COVID-19 vaccination, twice as high as among health care workers OR (95%Cl): 2.20 (1.03–4.66) vs. 4.06 (2.54–6.48), respectively. Students were more concerned than nurses about adverse effects of COVID-19 vaccine 3.8 (3.2–4.1) vs. 3.0 (2.7–3.5) and contracting the virus (1.7 (1.2–2.5) vs. 1.2 (1.0–2.0). Medical students had a more positive attitude toward vaccination than nursing students 4.2 (3.9–4.3) vs. 3.7 (3.3–4.3). In conclusion, predictors of positive attitudes toward vaccination were medical student status and young age.

Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses

Abstract: The COVID-19 outbreak has caused significant stress in our lives, which potentially increases frustration, fear, and resentful emotions. Managing stress is complex, but helps to alleviate negative psychological effects. In order to understand how the public coped with stress during the COVID-19 pandemic, we used Macao as a case study and collected 104,827 COVID-19 related posts from Facebook through data mining, from 1 January to 31 December 2020. Divominer, a big-data analysis tool supported by computational algorithm, was employed to identify themes and facilitate machine coding and analysis. A total of 60,875 positive messages were identified, with 24,790 covering positive psychological themes, such as “anti-epidemic”, “solidarity”, “hope”, “gratitude”, “optimism”, and “grit”. Messages that mentioned “anti-epidemic”, “solidarity”, and “hope” were the most prevalent, while different crisis stages, key themes and media elements had various impacts on public involvement. To the best of our knowledge, this is the first-ever study in the Chinese context that uses social media to clarify the awareness of solidarity. Positive messages are needed to empower social media users to shoulder their shared responsibility to tackle the crisis. The findings provide insights into users’ needs for improving their subjective well-being to mitigate the negative psychological impact of the pandemic.