| Literature DB >> 36128516 |
Jie Zhou1.
Abstract
Drawing on event system theory, this study explored the mechanism by which COVID-19 pandemic strength (including criticality, disruption, and novelty) influences work fatigue through the mediating role of occupational calling. A two-wave field study was conducted with 857 Chinese police officers using COVID-19 pandemic strength, occupational calling, and work fatigue questionnaires. The results showed that COVID-19 pandemic criticality had a positive effect on work fatigue and occupational calling, and that occupational calling mediated the direct link between COVID-19 pandemic criticality and work fatigue. Additionally, the first and second stages of the mediating effect were jointly moderated by COVID-19 pandemic disruption and novelty. When COVID-19 pandemic disruption and novelty were high, the positive relationship between COVID-19 pandemic criticality and occupational calling, and the mediating role of occupational calling, were stronger. The negative relationship between occupational calling and work fatigue was strengthened when COVID-19 pandemic disruption was high and novelty was low.Entities:
Keywords: COVID-19 pandemic strength; Event system theory; Occupational calling; Work fatigue
Year: 2022 PMID: 36128516 PMCID: PMC9478163 DOI: 10.1007/s12144-022-02846-0
Source DB: PubMed Journal: Curr Psychol ISSN: 1046-1310
Fig. 1The research model
The statement, loading, and Cronbach’s α of all measures
| Variables | Items | Loading | CR | AVE |
|---|---|---|---|---|
| COVID-19 pandemic strength (α = 0.78) | Factor 1: COVID-19 pandemic criticality (α = 0.78) | 0.88 | 0.81 | 0.60 |
| 1. The COVID-19 pandemic is of priority to me. | ||||
| 2. The COVID-19 pandemic is critical for the long-term success of me. | 0.49 | |||
| 3. The COVID-19 pandemic is an important event for me. | 0.89 | |||
| Factor 2: COVID-19 pandemic novelty (α = 0.76) | 0.52 | 0.79 | 0.50 | |
| 4. I had a clear, known way to respond to the COVID-19 pandemic. (R) | ||||
| 5. I had an understandable sequence of steps that can be followed in responding to the COVID-19 pandemic. (R) | 0.58 | |||
| 6. I can rely on established procedures and practices in responding to the COVID-19 pandemic. (R) | 0.84 | |||
| 7. I had rules, procedures, or guidelines to follow when the COVID-19 pandemic occurred. (R) | 0.83 | |||
| Factor 3: COVID-19 pandemic disruption (α = 0.79) | 0.56 | 0.76 | 0.53 | |
| 8. The COVID-19 pandemic causes me to stop and think about how to respond. | ||||
| 9. The COVID-19 pandemic alters my normal way of responding. | 0.82 | |||
| 10. The COVID-19 pandemic requires me to change the way it does my work. | 0.77 | |||
| Occupational calling (α = 0.84) | 1. I have a calling to be a police officer. | 0.91 | 0.84 | 0.73 |
| 2. I have a good understanding of my calling as it applies to my career. | 0.79 | |||
| Work fatigue (α = 0.94) | After the COVID-19 pandemic breakout, how often did you: | 0.81 | 0.86 | 0.67 |
| Factor 1: Physical fatigue (α = 0.86) | ||||
| 1. Feel physically exhausted at the end of the workday? | ||||
| 2. Feel physically worn out at the end of the workday? | 0.70 | |||
| 3. Feel physically drained at the end of the workday? | 0.95 | |||
| Factor 2: Mental fatigue (α = 0.89) | 0.89 | 0.89 | 0.73 | |
| 4. Feel mentally exhausted at the end of the workday? | ||||
| 5. Feel mentally worn out at the end of the workday? | 0.77 | |||
| 6. Feel mentally drained at the end of the workday? | 0.90 | |||
| Factor 3: Emotional fatigue (α = 0.88) | 0.78 | 0.88 | 0.71 | |
| 7. Have difficulty showing and dealing with emotions at the end of the workday? | ||||
| 8. Feel emotionally worn out at the end of the workday? | 0.84 | |||
| 9. Feel emotionally drained at the end of the workday? | 0.91 | |||
| Organizational support (α = 0.88) | 1. The organization really cares about my well-being. | 0.79 | 0.88 | 0.70 |
| 2. The organization shows very little concern for me. (R) | 0.86 | |||
| 3. The organization cares about my opinions. | 0.86 |
Means, standard deviations and correlation coefficients of variables
| Variables | M | SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|
| 1. COVID-19 pandemic criticality | 4.13 | 0.71 | |||||
| 2. COVID-19 pandemic disruption | 3.67 | 0.70 | 0.24*** (0.24***) | ||||
| 3. COVID-19 pandemic novelty | 3.81 | 0.76 | 0.45*** (0.40***) | 0.13*** (0.12***) | |||
| 4. Occupational calling | 3.68 | 1.00 | 0.21*** (0.13***) | 0.09*** (0.09**) | 0.33*** (0.28***) | ||
| 5. Work fatigue | 3.29 | 0.88 | 0.04 (0.11**) | 0.10** (0.11***) | -0.15** (-0.09**) | -0.22*** (-0.17***) | |
| 6. Organizational support | 3.49 | 0.96 | 0.29*** | 0.03 | 0.26*** | 0.31*** | -0.23*** |
* p < 0.05, ** p < 0.01, *** p < 0.001. The partial correlation coefficients are represented in parentheses. The AVE square root value is presented in the diagonal bold value
Fig. 2The roadmap of the effect of COVID-19 pandemic criticality on work fatigue
Hierarchical linear regression results of the jointly moderated mediating effect
| Variables | Work fatigue | Occupational calling | Work fatigue | Occupational calling | Work fatigue |
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
| Sex | 0.32 | 0.10** | 0.05 | 0.08* | 0.03 |
| Age | 0.10 | -0.12* | -0.01 | -0.15** | 0.01 |
| Police tenure | 0.04 | -0.10* | 0.02 | -0.01 | -0.02 |
| Organizational support | -0.27*** | 0.32*** | -0.21*** | 0.27*** | -0.20*** |
| COVID-19 pandemic criticality | 0.12** | 0.12** | 0.14*** | 0.03 | 0.18*** |
| Occupational calling | -0.19*** | -0.18*** | |||
| COVID-19 pandemic disruption | 0.01 | 0.07* | |||
| COVID-19 pandemic novelty | 0.20*** | -0.15*** | |||
| COVID-19 pandemic criticality × disruption | 0.04 | ||||
| COVID-19 pandemic criticality × novelty | 0.09* | ||||
| Occupational calling × COVID-19 pandemic disruption | -0.04 | ||||
| Occupational calling × COVID-19 pandemic novelty | -0.02 | ||||
| COVID-19 pandemic disruption × novelty | -0.02 | 0.11** | |||
| COVID-19 pandemic criticality × disruption × novelty | 0.10* | ||||
| Occupational calling × COVID-19 pandemic disruption × novelty | 0.08* | ||||
| 0.26 | 0.40 | 0.31 | 0.46 | 0.37 | |
| 0.07 | 0.16 | 0.10 | 0.21 | 0.13 | |
| 12.34*** | 32.21*** | 15.46*** | 20.27*** | 10.83*** |
* p < 0.05, ** p < 0.01, *** p < 0.001. Standardized regression coefficients are reported
Fig. 3Joint moderating effect of COVID-19 pandemic disruption and novelty on the link between COVID-19 pandemic criticality and occupational calling
The significance test of slope difference
| Path | Pair of slopes | Path | Pair of slopes | ||||
|---|---|---|---|---|---|---|---|
| COVID-19 pandemic criticality → occupational calling | (1) vs (2) | 0.36 | 4.18*** | Occupational calling → work fatigue | (1) vs (2) | 0.12 | 1.42 |
| (1) vs (3) | 0.28 | 2.52* | (1) vs (3) | 0.08 | 0.09 | ||
| (1) vs (4) | 0.27 | 2.77** | (1) vs (4) | -0.12 | -1.30* | ||
| (2) vs (3) | -0.09 | -0.77 | (2) vs (3) | -0.04 | -0.41 | ||
| (2) vs (4) | -0.09 | -0.93 | (2) vs (4) | -0.23 | -2.75** | ||
| (3) vs (4) | -0.01 | -0.05 | (3) vs (4) | -0.20 | -2.11* |
Fig. 4Joint moderating effect of COVID-19 pandemic disruption and novelty on the link between occupational calling and work fatigue
The bootstrap test of the jointly moderated mediating effect
| Model | COVID-19 | COVID-19 | Indirect effect | ||
|---|---|---|---|---|---|
| B | SE | 95%CI | |||
| COVID-19 pandemic criticality → occupational calling → work fatigue | Low | Low | -0.001 | 0.004 | [-0.008, 0.010] |
| Low | High | 0.003 | 0.017 | [-0.038, 0.033] | |
| High | Low | 0.022 | 0.024 | [-0.020, 0.075] | |
| High | High | -0.036 | 0.021 | [-0.082, -0.002] | |