Behavioral and emotional adaptations of obese and underweight students in response to the COVID-19 pandemic

A Cross-Sectional Study Exploring the Relationship Between BMI and Nursing Students' Emotional Well-Being During the COVID-19 Pandemic

Background

Having a weight problem can cause emotional distress, especially in students, who suffer from both issues at a high rate. As a result of the COVID-19 pandemic's negative impact on society, these problems can be significantly impacted. The study aims to investigate the relationship between nursing students' BMI and their mental well-being.

Methods

A cross-sectional study was conducted on 423 students from the second through fourth baccalaureate years of Science of Nursing program - KSA. The instrument for the study was an online questionnaire distributed to the students via Google Forms during the academic year 2021-2022 to collect data on the emotional state of students directly as a result of COVID-19 restrictions and limitations. The statistical analysis was carried out through Chi-square test was used to compare categorical data between groups and the Pearson coefficient is used to determine the correlation between two quantitative variables with normal distribution.

Results

There is a significant correlation between BMI with depression score, anxiety score and stress score. Higher BMI indicated 6.4 times more likeliness to have depression than lower BMI (OR = 6.4). Students who had higher BMI were 2.7 times more likely to have anxiety than those who had lower BMI (OR = 2.7), and 9.4 times more likely to have stress than those who had lower BMI (OR = 9.4).

Conclusion

Study findings indicate that nursing students' BMI increases as depression, anxiety, and stress increase. During the COVID-19 pandemic, participants reported increased weight due to increased stress levels and increased eating. Students in nursing should be aware of the importance of adopting healthy habits and following a healthy lifestyle.

A humanistic model of corporate social responsibility in e-commerce with high-tech support in the artificial intelligence economy

This paper aims to develop a humanistic model of corporate social responsibility in e-commerce, relying on high technology in an artificial intelligence economy. The research is based on the experience of the top 30 publicly traded e-commerce companies, the 16 most responsible companies in the retail industry in the USA, and the leading global and Russian e-commerce business structures in 2020-2021. Based on econometric modeling, it is substantiated that the humanization (qualitative criterion) of jobs provides an increase in revenues of e-commerce businesses to a greater extent than an increase in the number (quantitative criterion) of jobs. The high technology of the artificial intelligence economy (AI economy) makes it possible to maximize the contribution of responsible HRM of the e-commerce business in increasing its revenues. For this purpose, a humanistic model of corporate social responsibility in e-commerce based on high technology in the AI economy has been developed. The theoretical significance lies in proving the need to humanize jobs in e-commerce and revealing the essence of this process. The practical significance lies in the fact that the developed humanistic model will increase the profitability and, consequently, the resilience of businesses to future economic crises that arise against the backdrop of the COVID-19 pandemic.