Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning
Abstract
:1. Introduction
2. Materials and Methods
2.1. Materials
2.1.1. Wave 1
2.1.2. Wave 2
2.1.3. Waves 3 and 4
2.1.4. Waves 5 and Higher
2.2. Methods
3. Results
3.1. Extraversion and Geographical Differences
3.1.1. Europe and Israel
3.1.2. Asia
3.1.3. North America
3.2. Extraversion and Wave-Related Comparison
3.2.1. Pre-Vaccine
3.2.2. Post-Vaccine
3.3. Comparing Extraversion in COVID-19 Coping and Public Opinion
4. Discussion
4.1. Discrepancies between Extraversion’s Effect on COVID-19 Coping and Public Opinion
4.2. Other-Directed Versus Self-Directed Learning in Extraversion Regarding COVID-19 Coping
4.3. Limitations
5. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Country | Wave 1 | Wave 2 | Wave 3 | Wave 4 ‡ | Wave 5 |
---|---|---|---|---|---|
Austria | Women display more than men, but are less resilient/Those under 30 lonelier/Mediated partnerships and psychological distress | ||||
Canada | Higher emotional, psychological, and social well-being/ Fewer mental health issues | ||||
China | Negatively identified with: minorities, pandemic worries, spending time on pandemic information | Significant predictor of mental health concerns in Hong Kong/High levels use active problem-focused coping, adaptive emotion-focused coping | Related negatively to perceived stress and learning burnout | ||
Europe (27 countries) | No association with COVID-19 precautionary behaviors | ||||
Germany | Increases in perceived stressfulness | Poorer coping during strict restrictions/ Improvement as restrictions were relaxed | Decreases in perceived stressfulness | ||
High rates in adolescents, high depression resulting from anhedonia rather than negative mood, a third of these from loneliness | |||||
Greece | No effect on student satisfaction with online learning | ||||
Iran | Obtained more social support using verbal abilities and generating intimate relationships, resulting in greater satisfaction and happiness | Decreased depression and anxiety | |||
Israel/Palestine | Used greater problem-focused methods for coping and fewer maladaptive emotion-focused strategies for coping | No association with COVID-19 precautionary behaviors | |||
Italy | Protective against worry | ||||
Japan | Protective against depression in medical students | Played no protective role against depression or anxiety/Did not predict better coping | |||
Norway | Protective factor against depression and anxiety | If depressed and anxious in Wave 1, more so in Wave 3 | |||
Russia | Predicted focus on diet, nutrition, physical activity, stress management, restorative sleep/Negatively associated with substance abuse/More likely to be exposed to COVID-19 | ||||
Slovakia | Not predictive of resilience/Better access to social support, openness with more flexible coping/ Predictive of positive purchasing and stockpiling and negative emotional response | Predictive of decrease in purchasing and stockpiling once the socially perceived need for purchasing and stockpiling was reduced | |||
United Kingdom | Negative coping | Negative coping not found in White majority/Black, Asian, and minority ethnic community was a stronger predictor of mental health deterioration | |||
United States | Associated with more preparations, more optimistic outcomes, shorter pandemic duration and US economy recovery estimates | Negatively correlated with COVID-19 anxiety in general/In young adults, associated with higher levels of COVID-19 anxiety and generalized anxiety and depression symptoms | |||
Greater video chat usage in women |
Country | Wave 1 | Wave 2 | Wave 3 | Wave 4 ‡ | Wave 5 |
---|---|---|---|---|---|
Austria | Noted hospital admission decrease may accompany a substantial increase in mortality | Feeling of vulnerability regarding COVID-19 was not decreased regarding anticipated development of vaccines | |||
Canada | Almost 60% had no degree of hesitancy related to COVID-19 vaccines | ||||
China | Proud of China’s involvement in developing vaccines but believed possibly too expensive for use by their entire families | Overall, 76% of youths surveyed from November 2020 to March 2021 indicated acceptance of a future COVID-19 vaccine | Only older individuals in mainland China and Hong Kong were reluctant to receive a vaccine once they were available | ||
Europe (27 countries) | Conspiracy theories regarding vaccines and an international Judeo–Bolshevik conspiracy became popular | ||||
Germany | Increased cancer rates in children (possibly reflecting enhanced parental and pediatricians’ attention to early symptoms) and coronary patients avoiding hospitals likely due to fear of COVID-19 mortality rates | Overall, 67% of the population was hesitant to receive the vaccine because of possible side effects with almost 20% stating they would not receive the vaccine at all | Self-assignment to a risk group was in most cases not associated with an increased willingness to be vaccinated | ||
Greece | Experienced “cultural trauma” from increased mortality | ||||
Iran | Vaccine acceptance rate was 70% in conjunction with a high death rate from COVID-19, although progress in vaccination was slow | Only 17% of Iran’s population of 85 million received their first dose of a COVID-19 vaccine because of the country living under United States sanctions | |||
Israel/Palestine | COVID-19 weight gain in girls and women considered acceptable—likely reason for increases in type I diabetes, which is found to result in increased mortality | Familial Mediterranean Fever- associated genetic mutations may confer milder COVID-19 irrespective of vaccines | |||
Italy | Older patients may be more likely to die of COVID-19 because age-related changes in immunological functions | ||||
Japan | Relatively late in beginning a vaccination campaign, hindered by supply and bureaucratic problems resulting in challenges with procurement and distribution/No vaccine hesitancy | Negative sentiment toward vaccines dominated, where concerns about side effects from AstraZeneca in particular outweighed fears of infection | |||
Norway | Higher levels of “trained immunity” and serum “vitamin D” levels may have protected from high mortality rates | Vaccine hesitancy based on political values and ideology even when controlling for trust | |||
Russia | Larger households of extended families generally considered a health-protective behavior; might have contributed to higher social exposure producing greater mortality | ||||
Slovakia | Increase vitamin D supplementation thought to correspond to decreased mortality | Various theories were spread about the detrimental effects of disposable face masks and respirators on the human body and political plans for using the pandemic and vaccines against ordinary people | |||
United Kingdom | High mortality considered to relate to previous cardiovascular disease, diabetes, and low vitamin D, particularly in the Black, Asian, and minority ethnic group | Among the adult population, 16.6% were very unsure about vaccination, and 11.7% were strongly hesitant resulting from negative perceptions of vaccine developers, health services, and conspiracy beliefs | Significant decrease in vaccine acceptance in comparison with Wave 2 | For most citizens, there was a significant decrease in vaccine acceptance in comparison with Wave 3 with speed, safety, efficacy, and quality control as key reasons for concern about receiving a vaccine | Overall, 92% of people were vaccinated or intended to be, although vaccine confidence varied by age and ethnicity, with lowest confidence in young people and those of Black ethnicity |
United States | Increased mortality associated with belief in conspiracy theories generated from social media and disbelief of information provided by mainstream broadcast media | Those who felt powerless were more susceptible to conspiracy theories with vaccine hesitancy increasing overall in comparison with Wave 1 |
Country | Wave 1 | Wave 2 | Wave 3 | Wave 4 ‡ | Wave 5 |
---|---|---|---|---|---|
Austria | o o | o o | |||
Canada | + + | ||||
China | + + | + + | + + | ||
Europe (27 countries) | o − | ||||
Germany | − − | o − | + − | ||
Greece | o − | ||||
Iran | + + | + o | |||
Israel/Palestine | + + | o o | |||
Italy | + o | ||||
Japan | + + | − − | |||
Norway | + + | − − | |||
Russia | o o | ||||
Slovakia | o + | + − | |||
United Kingdom | − + | + + | + o | + − | + + |
United States | + − | o o |
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Nash, C. Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning. COVID 2023, 3, 831-858. https://doi.org/10.3390/covid3060061
Nash C. Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning. COVID. 2023; 3(6):831-858. https://doi.org/10.3390/covid3060061
Chicago/Turabian StyleNash, Carol. 2023. "Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning" COVID 3, no. 6: 831-858. https://doi.org/10.3390/covid3060061
APA StyleNash, C. (2023). Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning. COVID, 3(6), 831-858. https://doi.org/10.3390/covid3060061