Feelings of Entrapment during the COVID-19 Pandemic Based on ACE Star Model: A Concept Analysis

Psychological responses to the COVID-19 pandemic and situational impact: A network analysis in Hong Kong residents

BACKGROUND

The COVID-19 pandemic has had situational impacts and induced various psychological responses among residents. The present study aims to analyze the network structure of psychological responses to the pandemic and their relationships with situational impact, resilience, and well-being through a network approach.

METHODS

An online survey recruited 1122 residents (mean age = 32.5 years, 65.4 % female) in Hong Kong from October 2020 to October 2021. The participants completed the Mental Impact and Distress Scale: Psychological Response (MIDc-PR) and other validated measures. Gaussian graphical modeling was conducted in R to identify the central MIDc-PR symptoms and their bridge linkages with situational impact, resilience, and well-being.

RESULTS

In the MIDc-PR network, the central symptoms were 'Routine' and 'Images' for Anticipation and 'Tense' and 'Lonely' for Modulation, with 12 bridge edges between the two clusters. In the combined network, the MIDc-PR nodes showed 12 bridge edges with situational impact, particularly in the health domain. 'Concerned', 'Sleep', and 'Lonely' showed negative linkages with resilience; 'Unmotivated' and 'Trapped' showed negative linkages with well-being. The network models showed good levels of stability and did not differ significantly in network structure and global strength across gender and age groups.

LIMITATIONS

The cross-sectional study design only allowed undirected associations in the network and could not model the within-subject effects.

CONCLUSIONS

The study findings contributed to the literature by elucidating the network structure of psychological responses to the pandemic. The central and bridge symptoms have clinical implications as potential targets for future interventions.

Pandemic lockdowns: who feels coerced and why? - a study on perceived coercion, perceived pressures and procedural justice during the UK COVID-19 lockdowns

BACKGROUND

This study examined perceptions of coercion, pressures and procedural injustice and how such perceptions influenced psychological well-being in those who experienced a UK COVID-19 lockdown, with a view to preparing for the possibility of future lockdowns.

METHODS

40 individuals categorised as perceiving the lockdown(s) as either highly or lowly coercive took part in one of six asynchronous virtual focus groups (AVFGs).

RESULTS

Using thematic analysis, the following key themes were identified in participants' discussions: (1) Choice, control and freedom; (2) threats; (3) fairness; (4) circumstantial factors; and (5) psychological factors.

CONCLUSIONS

As the first qualitative study to investigate the psychological construct of perceived coercion in relation to COVID-19 lockdowns, its findings suggest that the extent to which individuals perceived pandemic-related lockdowns as coercive may have been linked to their acceptance of restrictions. Preparing for future pandemics should include consideration of perceptions of coercion and efforts to combat this, particularly in relation to differences in equity, in addition to clarity of public health messaging and public engagement.

Cognitive Flexibility's Role in Reducing Academic Stress During the COVID-19 Pandemic

Background

Cognitive flexibility (CF) in the psychological literature has been described as an individual's ability to produce several solutions and retain control in novel situations. Recently, the COVID-19 pandemic appeared to be an ideal scenario that demanded the application of adaptive thinking by students to deal with several challenges of the pandemic.

Aim

This study aimed to assess the role of CF in reducing academic stress among university students due to the sudden and strict implementation of online education during the COVID-19 pandemic.

Methods

This study employed a cross-sectional survey design and data collection was completed during the 2020-2021 academic year. The study sample comprised 328 university students from Saudi Arabia. The online survey method was used, and study tools comprises of reliable and valid psychological measures to assess CF, academic stress, the negative impact of the COVID-19 pandemic, and emotional symptoms. IBMSPSS25 was used for statistical analysis of data. Multiple regression analysis was applied to determine the role of CF in reducing academic stress after controlling for other factors such as gender, age, academic year, negative impact of COVID-19 on daily life, and unpleasant emotional experiences.

Results

CF was significantly decreased the risk of experiencing academic stress (b = ‒0.196, t = ‒3.54; p < 0.001; 95% CI = ‒3.53 to ‒0.11) after controlling for the negative impact of the COVID-19 pandemic on daily life (b = 0.119, t = 2.09; p < 0.05; 95% CI = 0.02-0.63) and emotional repercussions (b = 0.109, t = 1.91; p < 0.05; 95% CI = ‒0.01-0.15).

Conclusion

The current findings suggest that CF could be fostered among university students as a useful mental tool to cope with academic stress during less-structured educational and social circumstances that may impact their daily lives and emotional wellness.

The effect of COVID-19 on employees' mental health

Long lockdowns, food shortages, and the inability to receive basic primary healthcare have aggravated the effects of pandemics. However, most studies have focused on the health problems of the infected people or the measures employed to keep the disease under control. This cross-sectional study focused primarily on the mental health issues of employees. By employing a convenient sampling method, we reached 237 respondents (135 with coronavirus history) to assess the impact of the pandemic on employees. Multivariate causal relationships were assessed with Structural Equation Modeling (SEM). The predictors included internal entrapment (INT) and difficulty identifying feelings (DIF), which are significant predictors of depression (DEPR). DIF was found to be a significant predictor of INT and EXT feelings, while FEAR was found to be a significant predictor of INT, DIF, and DEPR. Quality of life (QoL) was found to be a significant predictor of DIF and DDF, DEPR, EXT and INT, and FEAR. The results also showed that DIF mainly manifested its effect on depression through INT. The DEPR level of employees working only from home was higher than that of other employees. The depression levels of women, young employees, and those whose QoL was adversely affected by the coronavirus were higher than the rest.

COVID-19 and Quitting Jobs

Despite substantial studies on COVID-19 and the problems employees face, the association between COVID-19 and resigning jobs has not caught the interest of researchers. Millions have already resigned from their employment, and more are expected to resign. This study aims to investigate the relationship between the demographics of employees, the course of COVID-19, perceived effect of COVID-19 on life (PEoC), fear, entrapment feeling, depression, and quitting the job during the COVID-19 pandemic. A cross-sectional study was designed, and a convenient sampling method was adopted. Data were collected via an online questionnaire and analyzed by using SPSS version 26. Correlation and regression analyses were performed to reveal the relationship. Coefficients and significance values were used to interpret the results. Independent samples t-test and one-way ANOVA are used to determine the difference across the groups. The correlation between depression and work location is statistically significant. The PEoC increases fear, internal and external entrapment, and depression. Despite the statistically significant correlations between quitting jobs and the education level, internal and external entrapment, PEoC, fear, and depression for employees who have COVID-19 history, quitting the job was found to be affected only by COVID-19 history, internal entrapment feeling, and education level. This study has shown that quitting the job is associated with PEoC, depression, and internal and external entrapments. The correlation between quitting jobs and other conditions differs depending on the COVID-19 history of the employee. Furthermore, quitting the job is being affected by the coronavirus history, the internal entrapment, and education level.