| Literature DB >> 35275930 |
Fatema Mohsen1, Batoul Bakkar1, Salma Khadem Alsrouji1, Esraa Abbas1, Alma Najjar1, Marah Marrawi2, Youssef Latifeh3,4.
Abstract
COVID-19 pandemic has led to psychological health issues one of which is fear. This study validates the Arabic version of the fear of COVID-19 scale and suggests a new cutoff score to measure fear of COVID-19 among the Syrian Population. A total of 3989 participants filled an online survey consisting of socio-demographic information, the fear of COVID-19 scale, the patient health questionnaire 9-item, and the generalized anxiety disorder 7-item. Receiver operating characteristic analysis was used to define cutoff scores for the fear of COVID-19 scale in relation to generalized anxiety disorder 7-item and the patient health questionnaire 9-item. The Cronbach α value of the Arabic fear of COVID-19 scale was 0.896, revealing good stability and internal consistency. The inter-item correlations were between [0.420-0.868] and the corrected item-total correlations were between [0.614-0.768]. A cutoff point of 17.5 was deduced from the analysis. According to the deduced cutoff point, 2111(52.9%) were categorized as extreme fear cases. This cutoff score deduced from this study can be used for screening purposes to distinguish community members that may be prone to developing extreme fear of COVID-19. Therefore, early preventive and supportive measures can then be delivered.Entities:
Mesh:
Year: 2022 PMID: 35275930 PMCID: PMC8916619 DOI: 10.1371/journal.pone.0264257
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Participants socio-demographics.
|
|
| 1054 (26.4) |
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| 2935 (73.5) | |
|
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| 2870 (71.9) |
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| 685 (17.2) | |
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| 261(6.5) | |
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| 121 (3.0) | |
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| 52 (1.4) | |
|
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| 3096 (77.6) |
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| 714 (17.9) | |
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| 179 (4.5) | |
|
|
| 251 (6.3) |
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| 1800 (45.1) | |
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| 1522 (38.1) | |
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| 416 (10.4) | |
|
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| 556 (13.9) |
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| 3433 (86) | |
|
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| 21 (0.5) |
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| 115 (2.9) | |
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| 370 (9.3) | |
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| 3271 (82) | |
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| 185 (4.6) | |
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| 27 (0.7) | |
|
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| 259 (6.5) |
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| 239 (6.0) | |
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| 202 (5.1) | |
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| 202 (5.1) | |
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| 35 (0.9) | |
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| 2397 (60.1) | |
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| 655 (16.4) | |
|
|
| 54 (1.4) |
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| 2474 (62) | |
|
| 1461 (36.6) |
1Poor: Income does not provide essential needs for the family.
1Excellent: Income provides luxury requirements.
2Good: Income provides essential needs and some luxury requirements.
3Moderate: Income provides essential needs for the family but no more.
4Poor: Income does not provide essential needs for the family.
Fig 1Participant’s FCV-19S score distribution.
Participants response to FCV-19S.
| Response to FCV-19S | |||||
|---|---|---|---|---|---|
| FCV-19S | Totally disagree (%) | Disagree (%) | Neutral (%) | Agree (%) | Totally Agree (%) |
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| 261 (6.5) | 826 (20.7) | 1557 (39.0) | 951 (23.8) | 394 (9.9) |
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| 279 (7.0) | 906 (22.7) | 1115 (28.0) | 1228 (30.8) | 461 (11.6) |
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| 962 (24.1) | 1983 (49.7) | 719 (18.0) | 119 (3.0) | 206 (5.2) |
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| 685 (17.2) | 1579 (39.6) | 892 (22.4) | 463 (11.6) | 370 (9.3) |
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| 390 (9.8) | 968 (24.3) | 1002 (25.1) | 1070 (26.8) | 559 (14.0) |
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| 1045 (26.2) | 1875 (47.0) | 688 (17.2) | 152 (3.8) | 229 (5.7) |
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| 1023 (25.6) | 1843 (46.2) | 670 (16.8) | 211 (5.3) | 242 (6.1) |
FCV-19S construct validity analysis.
| Items | Factor loading | Corrected item-total correlation | Cronbach’s alpha | Inter-item correlation range | M(SD) | Skewness | kurtosis | Kaiser-Meyer-Olkin |
|---|---|---|---|---|---|---|---|---|
|
| 0.843 | 0.661 | 0.896 | 0.423 | 3.1 (1) | -0.021 | -0.470 | 0.864 |
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| 0.877 | 0.655 | 0.424–0.717 | 3.17 (1.1) | -0.146 | -0.801 | ||
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| 0.877 | 0.723 | 0.420–0.791 | 2.15 (1) | 1.147 | 1.418 | ||
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| 0.551 | 0.724 | 0.513–0.612 | 2.576 (1.2) | 0.607 | -0.450 | ||
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| 0.715 | 0.614 | 0.420–0.574 | 3.11 (1.2) | -0.067 | -0.973 | ||
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| 0.905 | 0.763 | 0.429–0.868 | 2.16 (1) | 1.114 | 1.077 | ||
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| 0.889 | 0.768 | 0.453–0.868 | 2.2 (1.1) | 1.050 | 0.749 |
Classification of participants according to FCV-19S, GAD-7, and PHQ-9 cutoff points.
| Yes (%) | No (%) | |
|---|---|---|
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| 211 (52.9) | 1878 (47.1) |
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| 1484 (37.2) | 2505 (62.8) |
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| 2176 (54.6) | 1813 (45.4) |
Prediction validity of the FCV-19S.
| FCV-19S Score | Sensitivity | Specificity | AUC | CI (95%) | p-value | Youden’s Index | |
|---|---|---|---|---|---|---|---|
|
| 18.5 | 0.532 | 0.575 | 0.560 | [0.541, 0.578] | < 0.001 | 0.107 |
|
| 17.5 | 0.551 | 0.496 | 0.520 | [0.502, 0.538] | < 0.001 | 0.047 |
Fig 2ROC curve of FCV-19S for anxiety.
Fig 3ROC curve of FCV-19S for depression.