Literature DB >> 32512132

Assessing the fear of COVID-19 among different populations: A response to Ransing et al. (2020).

Amir H Pakpour1, Mark D Griffiths2, Kun-Chia Chang3, Yu-Pin Chen4, Yi-Jie Kuo4, Chung-Ying Lin5.   

Abstract

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Year:  2020        PMID: 32512132      PMCID: PMC7274088          DOI: 10.1016/j.bbi.2020.06.006

Source DB:  PubMed          Journal:  Brain Behav Immun        ISSN: 0889-1591            Impact factor:   7.217


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Dear editors, Ransing et al. (2020) recently summarized the current available instruments for assessing mental health issues relating to the COVID-19 pandemic in Brain, Behavior, and Immunity. Among the four instruments reviewed by Ransing et al. (2020) was the Fear of COVID-19 Scale (FCV-19S) that we co-developed and rated as having the most evidence in relation to its psychometric properties. While the Coronavirus Anxiety Scale (CAS) (Lee, 2020) and the Obsession with COVID-19 Scale (OCS) (Lee, 2020) both have versions in other languages, only their English versions have been psychometrically validated. Moreover, the COVID Stress Scale (CSS) (Taylor et al., 2020) has only been validated in English. However, the FCV-19S, as reviewed by Ransing et al. (2020), has been translated into different language versions and tested in different country populations. Ransing et al. (2020) recommend that there is a need to translate, validate, and cultural-adapt the existing instruments. We would like to point out that the FCV-19S has already been validated in many languages with good psychometric properties including English (Harper et al., 2020), Persian (Ahorsu et al., 2020), Bangla (Sakib et al., 2020), Italian (Soraci et al., 2020), Hebrew (Bitan et al., 2020), Arabic (Alyami et al., 2020), Russian (Reznik et al., 2020), and Turkish (Satici et al., 2020). We are also aware that there are other versions currently under review including versions in Chinese, Spanish, Japanese, Hindi, Malaysian, and Polish. To the best of our knowledge, these research teams have also found good psychometric properties for the FCV-19S. Therefore, we are confident that the FCV-19S has already fulfilled the recommendation made by Ransing et al. (2020) Moreover, the FCV-19S is arguably more theoretically grounded than other COVID-19-related instruments in that it was developed using the Protection Motivation Theory (Rogers, 1975), while the other three instruments do not report any theoretical framework to support their development. However, we would like to clarify the remarks made by Ransing et al. (2020) regarding the unstable factor structure of the FCV-19S (i.e., a two-factor structure found in the Russian FCV-19S [Reznik et al., 2020]). In addition to the Russian version, the Hebrew FCV-19S (Bitan et al., 2020) also reported a two-factor structure. However, we are of the opinion that the two-factor structure proposed by both the Russian and Hebrew versions are a consequence of their inappropriate use of principal component analysis (PCA) or exploratory factor analysis (EFA). Given that many language versions of the FCV-19S (Alyami et al., 2020, Sakib et al., 2020, Soraci et al., 2020) confirmed its unidimensional structure, the use of PCA or EFA is not justified because a confirmatory factor analysis (CFA) should have been performed (Pakpour et al., 2020). Only if the researchers have strong reasons to doubt the theoretical framework, should they have considered applying EFA for further understanding in an instrument’s factor structure. Ransing et al. (2020) also recommend validating the instruments among vulnerable populations, including elderly, children, adolescents, young adults, and people with pre-existing physical and mental illness. We totally agree with the recommendation and would like to respond that we have already collected FCV-19S among individuals with mental illness (Chinese version), elderly people who have visited an outpatient department in a medical center (Chinese version), and adolescents (Bangla version). The collections included face-to-face interviews that were administered by several research assistants and online surveys. Those with mental illness (n = 516; 294 males; mean age = 47.5 years) were interviewed between March 23 and May 15, 2020 from the Jianan Psychiatric Center, Taiwan. Elderly individuals (n = 139; 42 males; mean age = 71.7) were interviewed between May 1 and 15, 2020 from the Wan Fang Hospital, Taiwan. The adolescents (n = 582; 274 males; mean age = 18.02 years) completed an online survey between March and April 2020 from a Bangla community (Sakib et al., 2020). Utilizing CFA with the estimator of diagonally weighted least squares, we found that the FCV-19S also supported the unidimensional structure in the three vulnerable samples (Table 1 ). Therefore, we believe that the FCV-19S can assess fear of COVID-19 among clinical and vulnerable samples. Nevertheless, we agree with the other future directions proposed by Ransing et al. (2020) regarding the need for the development of both clinically administered instruments and instruments assessing stigma (Lin, 2020).
Table 1

Factor structure of the Fear of COVID-19 Scale (FCV-19S) in three vulnerable samples.

Mental illness (n=516)
Elderly (n=139)
Adolescent (n=582)
Item #Factor loading
F10.660.720.72
F20.810.540.66
F30.820.290.73
F40.820.650.77
F50.850.770.69
F60.820.460.64
F70.860.380.65



Fit statistics
χ2 (df)/p44.97 (14)/ <0.00124.10 (14)/ 0.04521.53 (14)/ 0.09
CFI0.9920.9600.997
TLI0.9890.9410.995
RMSEA0.0660.0720.030
90% CI of RMSEA0.045, 0.0870.011, 0.1200.000, 0.055

CFI = comparable fit index; TLI = Tucker-Lewis index; RMSEA = root mean square error of approximation.

Factor structure of the Fear of COVID-19 Scale (FCV-19S) in three vulnerable samples. CFI = comparable fit index; TLI = Tucker-Lewis index; RMSEA = root mean square error of approximation.
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1.  A Protection Motivation Theory of Fear Appeals and Attitude Change1.

Authors:  Ronald W Rogers
Journal:  J Psychol       Date:  1975-09

2.  Coronavirus Anxiety Scale: A brief mental health screener for COVID-19 related anxiety.

Authors:  Sherman A Lee
Journal:  Death Stud       Date:  2020-04-16

Review 3.  Can COVID-19 related mental health issues be measured?

Authors:  Ramdas Ransing; Rodrigo Ramalho; Laura Orsolini; Frances Adiukwu; Jairo M Gonzalez-Diaz; Amine Larnaout; Mariana Pinto da Costa; Paolo Grandinetti; Drita Gashi Bytyçi; Mohammadreza Shalbafan; Ishwar Patil; Marwa Nofal; Victor Pereira-Sanchez; Ozge Kilic
Journal:  Brain Behav Immun       Date:  2020-05-26       Impact factor: 7.217

4.  How much "Thinking" about COVID-19 is clinically dysfunctional?

Authors:  Sherman A Lee
Journal:  Brain Behav Immun       Date:  2020-04-27       Impact factor: 7.217

5.  Assessing the psychological response to the COVID-19: A response to Bitan et al. "Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population".

Authors:  Amir H Pakpour; Mark D Griffiths; Chung-Ying Lin
Journal:  Psychiatry Res       Date:  2020-05-27       Impact factor: 3.222

6.  Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic.

Authors:  Craig A Harper; Liam P Satchell; Dean Fido; Robert D Latzman
Journal:  Int J Ment Health Addict       Date:  2020-04-27       Impact factor: 3.836

7.  COVID-19 Fear in Eastern Europe: Validation of the Fear of COVID-19 Scale.

Authors:  Alexander Reznik; Valentina Gritsenko; Vsevolod Konstantinov; Natallia Khamenka; Richard Isralowitz
Journal:  Int J Ment Health Addict       Date:  2020-05-12       Impact factor: 3.836

8.  Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis.

Authors:  Najmuj Sakib; A K M Israfil Bhuiyan; Sahadat Hossain; Firoj Al Mamun; Ismail Hosen; Abu Hasnat Abdullah; Md Abedin Sarker; Mohammad Sarif Mohiuddin; Istihak Rayhan; Moazzem Hossain; Md Tajuddin Sikder; David Gozal; Mohammad Muhit; S M Shariful Islam; Mark D Griffiths; Amir H Pakpour; Mohammed A Mamun
Journal:  Int J Ment Health Addict       Date:  2020-05-11       Impact factor: 11.555

9.  Adaptation of the Fear of COVID-19 Scale: Its Association with Psychological Distress and Life Satisfaction in Turkey.

Authors:  Begum Satici; Emine Gocet-Tekin; M Engin Deniz; Seydi Ahmet Satici
Journal:  Int J Ment Health Addict       Date:  2020-05-08       Impact factor: 3.836

10.  Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population.

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Journal:  Psychiatry Res       Date:  2020-05-15       Impact factor: 11.225

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1.  Validation of the Fear of COVID-19 Scale in a US College Sample.

Authors:  Catherine A Perz; Brent A Lang; Rick Harrington
Journal:  Int J Ment Health Addict       Date:  2020-06-25       Impact factor: 3.836

2.  The Psychometric Validation of FCV19S in Urdu and Socio-Demographic Association with Fear in the People of the Khyber Pakhtunkhwa (KPK) Province in Pakistan.

Authors:  Qaisar Khalid Mahmood; Sara Rizvi Jafree; Waheed Ahmad Qureshi
Journal:  Int J Ment Health Addict       Date:  2020-07-12       Impact factor: 3.836

3.  Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia.

Authors:  Chung-Ying Lin; Anders Broström; Mark D Griffiths; Amir H Pakpour
Journal:  Internet Interv       Date:  2020-08-27

4.  Exploring COVID-19 stress and its factors in Bangladesh: A perception-based study.

Authors:  S M Didar-Ul Islam; Md Bodrud-Doza; Rafid Mahmud Khan; Md Abidul Haque; Mohammed A Mamun
Journal:  Heliyon       Date:  2020-07-10

5.  The mediating effect of the cyberchondria and anxiety sensitivity in the association between problematic internet use, metacognition beliefs, and fear of COVID-19 among Iranian online population.

Authors:  Seyed Ghasem Seyed Hashemi; Shalaleh Hosseinnezhad; Solmaz Dini; Mark D Griffiths; Chung-Ying Lin; Amir H Pakpour
Journal:  Heliyon       Date:  2020-10-10

6.  Psychometric Properties of the Norwegian Version of the Fear of COVID-19 Scale.

Authors:  M M Iversen; T M Norekvål; K Oterhals; L T Fadnes; S Mæland; A H Pakpour; K Breivik
Journal:  Int J Ment Health Addict       Date:  2021-01-20       Impact factor: 11.555

7.  Reliability of the tools used to examine psychological distress, fear of COVID-19 and coping amongst migrants and non-migrants in Australia.

Authors:  Muhammad Aziz Rahman; Masudus Salehin; Sheikh Mohammed Shariful Islam; Sheikh M Alif; Farhana Sultana; Ahmed Sharif; Nazmul Hoque; Nashrin Binte Nazim; Wendy M Cross
Journal:  Int J Ment Health Nurs       Date:  2021-02-08       Impact factor: 5.100

8.  Psychometric evaluation of fear of COVID-19 Scale (FCV-19S) among Chinese primary and middle schoolteachers, and their students.

Authors:  I-Hua Chen; Chao-Ying Chen; Ke-Yun Zhao; Jeffrey H Gamble; Chung-Ying Lin; Mark D Griffiths; Amir H Pakpour
Journal:  Curr Psychol       Date:  2022-01-05

9.  The Japanese version of the Fear of COVID-19 scale: Reliability, validity, and relation to coping behavior.

Authors:  Koubun Wakashima; Keigo Asai; Daisuke Kobayashi; Kohei Koiwa; Saeko Kamoshida; Mayumi Sakuraba
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

10.  Psychometric properties of the Iranian version of self-care ability scale for the elderly.

Authors:  Mehrdad Amir-Behghadami; Jafar Sadegh Tabrizi; Mohammad Saadati; Masoumeh Gholizadeh
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