Social capital as mediating factor on COVID-19 induced psychological distress: The case of college students living through an outbreak

The Impact of COVID-19 on the Academic Life of Social Work Students: Resilience as a Mediating Variable

PURPOSE

The aim of this study is to analyze the relationship between emotions and concerns stemming from COVID-19 and the academic engagement of social work students, taking into account the mediating role played by resilience.

METHOD

We carried out a cross-cutting quantitative study by means of an online questionnaire. The participants comprised a total of 474 students currently enrolled on the Degree in Social Work at the University of Valencia (Spain).

RESULTS

The results show that the effects of emotions and concerns stemming from COVID-19 on student engagement were fully mediated by resilience. Indeed, positive emotions and concerns about the future had a positive impact on student engagement through resilience.

DISCUSSION

Resilience stands as a potential protective factor against the social and academic challenges generated by COVID-19. The pandemic could therefore be seen as a real opportunity for sweeping change in the teaching and practice of social work.

Relationship between Social Capital and General Health among the Iranian University Students: A Cross-Sectional Study

The most basic axis of a society's economic and social growth is health, and social capital is a major factor in determining that development. The purpose of this research was to evaluate, among the student body of Iran University of Medical Sciences, the connection that exists between social capital and overall health. This study used a descriptive-analytical approach to cross-sectional research. Students attending the Iran University of Medical Sciences constituted the statistical population. The approach developed by Cochran was used to pick 367 students at random. The demographic information form, two versions of the Delaviz Social Capital Questionnaire (2006), and Goldberg and Hiller's General Health Questionnaire (1979), served as the data collection tools. Using Cronbach's alpha test, the reliability of the first two sets of questionnaires was determined to be 0.73 and 0.78, respectively. The data were analyzed using descriptive statistics, statistical tests, and regression after being loaded into SPSS version 22. It was shown that general health was significantly related to the factors of gender, location of living, and degree of education (p < 0.05). It was shown via the use of regression that there is a statistically significant association between social capital and the two dimensions of group involvement and relationships in networks. These two dimensions had the biggest influence on general health and explained 39% of its variations. The overall health of students was not significantly affected by factors such as age, educational level, or marital status (p > 0.05). It is feasible to improve students' overall health if social capital is increased, more students are encouraged to participate in group projects, and students' ties with one another inside and outside their networks are expanded.

Distress During the COVID-19 Pandemic Among Local Public Health Workers in New York State

OBJECTIVE

Understanding the challenges public health workers have faced is critical to reinforcing, revitalizing, and strengthening the public health workforce. We measured and identified the level and causes of psychological distress among public health workers during the COVID-19 pandemic in New York State.

METHODS

We used a knowledge, attitudes, beliefs, and behaviors survey to ask public health workers at local health departments about their experiences working in public health during the pandemic, including questions relating to harassment from the public, workload, and work/life balance. We used the Kessler-6 scale to measure participants' psychological distress using a 5-point Likert scale, with higher scores indicating greater psychological distress. We calculated descriptive statistics and conducted a regression analysis to determine the factors associated with public health worker psychological distress, and we coded open-ended comments for qualitative analysis.

RESULTS

During September 7-20, 2021, 231 public health workers from 38 local health departments completed the survey. Respondents were predominantly non-Hispanic White (89.6%), female (82.1%), full-time employees (95.1%), and located in Upstate New York. On a bivariate level, the strongest predictor of distress was job satisfaction (-0.388), followed closely by COVID-19 fatigue (0.386) and feeling bullied or harassed by the public (0.331). In the regression analysis, 2 additional factors were associated with distress: considering leaving their job due to the pandemic and concerns about exposure. Themes from the qualitative analysis strongly supported these findings.

CONCLUSIONS

Understanding the challenges public health workers have faced during the pandemic is critical to inform the actions needed-stronger state laws protecting against harassment, workforce incentives, and commensurate funding-to reinforce and revitalize our frontline public health workforce.

COVID-19 and Social Capital Loss: The Results of a Campus Outbreak

This study examines the effects of a COVID-19 outbreak on levels of social capital on a college campus, drawing on survey data collected from students at two colleges-one that experienced an outbreak and one that did not. Social capital is examined as an individual level resource and as a campus level normative tool used to fight collective action problems. We test the hypothesis that the outbreak, as a "shock" to the campus, diminished social capital. We also test hypotheses on gender, race, and ethnicity and social capital, informed by prior research. Our findings suggest that the outbreak did reduce social capital at both the individual and campus levels, though individual social capital had a mitigating effect that increased campus social capital. We find also that gender was significantly linked to campus social capital, while race was predictive of individual level social capital.