| Literature DB >> 36012009 |
Wen-Ling Hung1, Hsiang-Te Liu2.
Abstract
Since the end of 2019, COVID-19 has continued to spread around the world. The police have performed various epidemic prevention and routine duties. This study explores how police officers' COVID-19 fear, resistance to organizational change, intolerance of uncertainty, and secondary trauma affect emotional exhaustion and insomnia in the context of COVID-19. A total of 205 valid police samples were collected in this study, and the established hypotheses were tested using confirmatory factor analysis and structural equation modeling. The results of the study confirmed that during the COVID-19 outbreak, secondary trauma of police officers positively affects emotional exhaustion and insomnia; intolerance of uncertainty positively affects emotional exhaustion; resistance to organizational change positively affects intolerance of uncertainty and emotional exhaustion; intolerance of uncertainty mediates the relationship between resistance to organizational change and emotional exhaustion; COVID-19 fear positively influences secondary trauma.Entities:
Keywords: COVID-19 fear; emotional exhaustion; insomnia; intolerance of uncertainty; resistance to organizational change; secondary trauma
Mesh:
Year: 2022 PMID: 36012009 PMCID: PMC9408193 DOI: 10.3390/ijerph191610374
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Conceptual framework.
Sample basic information.
| Gender | Percentage (%) | Seniority | Percentage (%) |
|---|---|---|---|
| Male | 81.0% | 5 years or less | 26.8% |
| Female | 19.0% | 6 to 10 years | 9.3% |
| Age | 11 to 15 years | 13.2% | |
| 20–29 years old | 20.0% | 16 to 20 years | 2.4% |
| 30–39 years old | 28.3% | 21 years or more | 48.3% |
| 40–49 years old | 27.8% | Marriage | |
| 50 years old or older | 23.9% | Unmarried | 40.5% |
| Education level | Married | 59.5% | |
| Junior college | 49.8% | ||
| College | 40.0% | ||
| Postgraduate | 10.2% |
Item loading and model fits.
| Variables | Items | Lambda | T Values | Composite Reliability | Cronbach’s Alpha |
|---|---|---|---|---|---|
| Intolerance of Uncertainty | IU 1 | 0.80 | 21.03 | 0.89 | 0.84 |
| IU 2 | 0.80 | 21.61 | |||
| IU 3 | 0.82 | 25.87 | |||
| IU 4 | 0.86 | 40.00 | |||
| Emotional Exhaustion | EE 1 | 0.79 | 26.52 | 0.92 | 0.91 |
| EE 2 | 0.73 | 17.82 | |||
| EE 3 | 0.78 | 15.32 | |||
| EE 4 | 0.72 | 16.43 | |||
| EE 5 | 0.84 | 24.64 | |||
| EE 6 | 0.81 | 18.87 | |||
| EE 7 | 0.79 | 23.32 | |||
| EE 8 | 0.75 | 23.64 | |||
| Secondary Trauma | ST 1 | 0.71 | 14.71 | 0.96 | 0.96 |
| ST 2 | 0.71 | 17.51 | |||
| ST 3 | 0.70 | 17.16 | |||
| ST 4 | 0.74 | 17.50 | |||
| ST 5 | 0.72 | 16.56 | |||
| ST 6 | 0.91 | 68.91 | |||
| ST 7 | 0.89 | 52.03 | |||
| ST 8 | 0.88 | 45.40 | |||
| ST 9 | 0.88 | 44.80 | |||
| ST 10 | 0.92 | 71.59 | |||
| ST 11 | 0.90 | 60.75 | |||
| ST 12 | 0.89 | 48.83 | |||
| Insomnia | IN 1 | 0.73 | 16.66 | 0.93 | 0.92 |
| IN 2 | 0.77 | 19.09 | |||
| IN 3 | 0.68 | 12.41 | |||
| IN 4 | 0.83 | 30.83 | |||
| IN 5 | 0.88 | 51.24 | |||
| IN 6 | 0.88 | 54.68 | |||
| IN 7 | 0.88 | 52.24 | |||
| IN 8 | 0.74 | 17.99 | |||
| COVID-19 Fear | CF 1 | 0.88 | 29.63 | 0.95 | 0.93 |
| CF 2 | 0.96 | 145.65 | |||
| CF 3 | 0.96 | 107.75 | |||
| Resistance to Organizational Change | ROC 1 | 0.82 | 26.27 | 0.90 | 0.86 |
| ROC 2 | 0.88 | 50.85 | |||
| ROC 3 | 0.90 | 54.65 | |||
| ROC 4 | 0.74 | 13.49 |
Note: IU = Intolerance of Uncertainty; ST = Secondary Trauma; EE = Emotional Exhaustion; IN = Insomnia; CF = COVID-19 Fear; ROC = Resistance to Organizational Change. All items for variables are in the Appendix A.
Square root of AVE and inter-correlations.
| CF | EE | IN | ROC | ST | IU | ASV | MSV | AVE | |
|---|---|---|---|---|---|---|---|---|---|
| CF | (0.94) | 0.14 | 0.33 | 0.87 | |||||
| EE | 0.36 | (0.78) | 0.24 | 0.29 | 0.60 | ||||
| IN | 0.39 | 0.50 | (0.80) | 0.20 | 0.34 | 0.64 | |||
| ROC | 0.18 | 0.54 | 0.34 | (0.84) | 0.17 | 0.29 | 0.70 | ||
| ST | 0.58 | 0.53 | 0.58 | 0.34 | (0.83) | 0.25 | 0.34 | 0.68 | |
| IU | 0.22 | 0.50 | 0.33 | 0.52 | 0.44 | (0.82) | 0.18 | 0.27 | 0.67 |
Note: The figures in parentheses indicate the square root of AVE of the study constructs. MSV = maximum share variance; ASV = average share variance. IU = Intolerance of Uncertainty; ST = Secondary Trauma; EE = Emotional Exhaustion; IN = Insomnia; CF = COVID-19 Fear; ROC = Resistance to Organizational Change.
Figure 2Causal coefficient graph.
Path coefficients (coefficients, STDEV, t-values).
| Hypotheses | Causal Path | Coefficients | Standard Deviation | Z Statistics | Accept or Reject |
|---|---|---|---|---|---|
| H1 | Secondary Trauma → Insomnia | 0.58 ** | 0.05 | 12.36 | accepted |
| H2 | Secondary Trauma → Emotional Exhaustion | 0.34 ** | 0.06 | 5.62 | accepted |
| H3 | Intolerance of Uncertainty → Emotional Exhaustion | 0.18 * | 0.08 | 2.34 | accepted |
| H4 | Resistance to Organizational Change → Intolerance of Uncertainty | 0.52 ** | 0.05 | 9.59 | accepted |
| H5 | Resistance to Organizational Change → Emotional Exhaustion | 0.33 ** | 0.07 | 4.81 | accepted |
| H6 | Resistance to Organizational Change → Intolerance of Uncertainty → Emotional Exhaustion | 0.91 ** | 0.10 | 9.1 | accepted |
| H7 | COVID-19 Fear → Secondary Trauma | 0.58 ** | 0.04 | 12.83 | accepted |
Note: * and ** represent statistical significance at p < 0.05 and p < 0.01, respectively.
Mediation estimates.
| Path Estimates | Label | Estimate | SE | Z |
| % Mediation |
|---|---|---|---|---|---|---|
| Resistance to Organizational Change → Intolerance of Uncertainty | a | 0.50 | 0.06 | 8.75 | <0.001 | |
| Intolerance of Uncertainty → Emotional Exhaustion | b | 0.53 | 0.12 | 4.48 | <0.001 | |
| Resistance to Organizational Change → Emotional Exhaustion | c | 0.65 | 0.11 | 5.8 | <0.001 | |
| Mediation Estimates | ||||||
| Indirect Effect | a × b | 0.26 | 0.07 | 3.99 | <0.001 | 28.7 |
| Direct Effect | c | 0.65 | 0.11 | 5.8 | <0.001 | 71.3 |
| Total Effect | c + a × b | 0.91 | 0.10 | 9.1 | <0.001 | 100 |