| Literature DB >> 33230850 |
Namra Mubarak1, Samyia Safdar1, Shazia Faiz1, Jabran Khan2, Mastura Jaafar2.
Abstract
This study looked into the mechanism through which health education can reduce the fear of being infected with COVID-19 because health education helps individuals to improve their knowledge and attitudes towards a disease. The spread of COVID-19 has escalated the level of fear among public and nurses. Nevertheless, the mechanism that contributes to minimize the fear towards this pandemic remains unexplored. A cross-sectional survey was adopted to test the relationships among public health education, psychological capital, and fear of COVID-19. In total, 243 responses were obtained via online survey from nurses. The results revealed that public health education can reduce one's fear of COVID-19. Psychological capital emerged as a strong explanatory mechanism for the phenomenon. Drawing on spillover theory, public health education seems to reduce fear of COVID-19 with the mediating role of psychological capital. Limitations and future directions are at the end of this paper. The study outcomes revealed that organizations should focus on educating nursing staff to overcome fear of COVID-19. One way to induce positivity among nursing staff is by holding trainings.Entities:
Keywords: fear of COVID-19; psychological capital; public health education
Mesh:
Year: 2020 PMID: 33230850 PMCID: PMC7753350 DOI: 10.1111/inm.12819
Source DB: PubMed Journal: Int J Ment Health Nurs ISSN: 1445-8330 Impact factor: 5.100
Confirmatory factor analysis
| Models | Factors | χ2 | df | RMSEA | IFI | TLI | CFI |
|---|---|---|---|---|---|---|---|
| Hypothesized model | Three‐factor model | 1724.4132** | 831 |
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| Two‐factor model | Two factors | 3224.653** | 719 |
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| All in one factor | Single‐factor model | 4233.544** | 874 |
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N = 243; *P < 0.05 **P < 0.01, χ2 = chi‐square df, degree of freedom; CFI, Comparative Fit Index; TLI, Tucker–Lewis index; IFI, Incremental Fit Index; RMSEA, root‐mean‐square error of approximation.
Correlation, descriptive analysis, and alpha reliabilities
| Variable | Min | Max | Mean | SD | CR | AVE | MSV | α | 1 | 2 | 3 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Public health education | 2.31 | 4.60 | 2.82 | 0.455 | 0.92 | 0.57 | 0.12 |
| – | ||
| 2 | Psychological capital | 1.40 | 4.80 | 3.14 | 0.636 | 0.88 | 0.52 | 0.24 | 0.87 | 0.40** | – | |
| 3 | Fear of COVID‐19 | 1.50 | 4.25 | 3.41 | 0.727 | 0.80 | 0.51 | 0.17 | 0.79 | −0.39** | −0.34** | – |
N = 243; *P < 0.05; **P < 0.01; CR, composite reliability; AVE, average variance extraction; MSV, maximum shared variance; SD, standard deviation; Min, minimum; Max, maximum; α, alpha reliabilities.
Direct and indirect effect
| Direct effect | Estimate | SE | t |
|---|---|---|---|
| Public health education → Fear of COVID‐19 | −0.50** | 0.10 | −4.93 |
| Public health education → Psychological capital | 0.56** | 0.08 | 6.84 |
| Psychological capital → Fear of COVID‐19 | −0.24** | 0.07 | −3.33 |
| (95% bias‐corrected confidence interval method) | |||
| Indirect effect | Effect | S.E | LL, −UL |
| Public health education → Psychological capital → Fear of COVID‐19 | −0.13** | 0.05 | −0.24, −0.04 |
N = 243, *P < 0.05; **P < 0.01; LL, lower limit; SE, standard error; UL, upper limit.