| Literature DB >> 35287294 |
Akmal Khudaykulov1, Zheng Changjun1, Bojan Obrenovic2, Danijela Godinic3, Hussain Zaid H Alsharif4, Ilimdorjon Jakhongirov5.
Abstract
The employees' psychological health and resilience in times of emergency and general uncertainty was chosen due to the immense implications for economics, entrepreneurs, psychologists and psychiatrists, and policymakers. This study aims to provide an insight into uncertainty-induced anxiety and depression among Chinese employees in the aftermath of the COVID-19 outbreak. Analysis performed in the context of China in the COVID-19 pandemic aftermath is significant due to the universal nature of external shock impact on psychological welfare, applicable across nations and business sectors and in similar contexts. The statistical analysis was performed with SEM software AMOS version 23. The research model consisting of fear of COVID-19, job insecurity, anxiety, depression, was empirically tested. A purposive sampling technique was applied with the online questionnaire shared with employees in companies located in China. Respondents were working in educational services, information technology, engineering, electronics, and other sectors on white-collar jobs. The data collection was conducted from May to August 2020, in the aftermath of the COVID-19 pandemic in China. The research sample consisting of 283 respondents was used for analysis. Path analysis was performed, and standardized parameter estimates, standard errors, and p-values were calculated. The results indicate a positive and significant impact of job insecurity on depression and anxiety. Furthermore, results indicate that the fear of COVID-19 significantly impacts anxiety and depression but does not impact job insecurity. The findings can be used in a multidisciplinary effort to mitigate the psychological damage. Furthermore, they complement the ongoing epidemiological and scientific discourse on people's personal health and choice of coping.Entities:
Keywords: Anxiety; COVID-19 mental health; Depression during COVID-19; Fear of COVID-19; Job insecurity
Year: 2022 PMID: 35287294 PMCID: PMC8906526 DOI: 10.1007/s12144-022-02883-9
Source DB: PubMed Journal: Curr Psychol ISSN: 1046-1310
Demographic information
| Demographic categories | Frequency | Value percentage |
|---|---|---|
| Gender | ||
| Male | 150 | 53.0% |
| Female | 133 | 47.0% |
| Age | ||
| 18–21 | 9 | 3.2% |
| 21–29 | 123 | 43.4% |
| 30–39 | 92 | 32.5% |
| 40–49 | 45 | 15.9% |
| 50–59 | 14 | 5.0% |
| Nationality | 100.0% | |
| Chinese | 283 | |
| Education level | ||
| Postgraduate degree | 140 | 49.4% |
| Bachelor's degree | 115 | 40.6% |
| High school degree | 28 | 10% |
| Employment status | ||
| Fulltime—40 h or more per week | 153 | 54.1% |
| Part time—Less than 40 h per week | 130 | 45.9% |
Fig. 1Research model of the study
Fig. 2Measurement model (CFA)
CR, AVE, and correlation matrix
| Validity testing | ||||||||
|---|---|---|---|---|---|---|---|---|
| CR | AVE | MSV | MaxR(H) | Fear.Covid | Depress | Anxiety | Job.Insecurity | |
| Fear.Covid | 0.905 | 0.547 | 0.043 | 0.915 | ||||
| Depress | 0.907 | 0.621 | 0.612 | 0.925 | 0.098 | |||
| Anxiety | 0.945 | 0.740 | 0.612 | 0.948 | 0.207 | 0.782 | ||
| Job.Insecurity | 0.884 | 0.719 | 0.141 | 0.908 | -0.033 | 0.376 | 0.248 | |
Model fit measures
| Measure | Estimate | Threshold | Interpretation |
|---|---|---|---|
| CMIN | 0.927 | – | – |
| DF | 3 | – | – |
| CMIN/DF | 0.309 | Between 1 and 3 | Excellent |
| CFI | 1 | > 0.95 | Excellent |
| SRMR | 0.017 | < 0.08 | Excellent |
| RMSEA | 0 | < 0.06 | Excellent |
| Pclose | 0.992 | > 0.05 | Excellent |
Standardized parameter estimates, standard errors, and p values for the structural model
| Dep. Var | Path | Indep. Var | Std | Estimate | S.E | C.R | P | Label |
|---|---|---|---|---|---|---|---|---|
| Depress | < –- | Job.Insecurity | 0.648 | 0.644 | 0.058 | 11.189 | *** | |
| Depress | < –- | Fear.Covid | 0.119 | 0.208 | 0.102 | 2.05 | ** | |
| Anxiety | < –- | Job.Insecurity | 0.519 | 0.506 | 0.063 | 7.982 | *** | |
| Anxiety | < –- | Fear.Covid | 0.136 | 0.235 | 0.112 | 2.097 | ** |
Fig. 3Improved structural model