Psychometric properties of the Persian COVID-19 phobia scale



   Table of Contents   ORIGINAL ARTICLE Year : 2022  |  Volume : 9  |  Issue : 3  |  Page : 205-210

Psychometric properties of the Persian COVID-19 phobia scale

Saeed Barzegari1 ORC ID , Ibrahim Arpaci2, Abdolmotalleb Hasani3, Ali Zabihi4, Roghieh Nazari3 ORC ID
1 Department of Paramedicine, Amol Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran
2 Department of Software Engineering, Bandirma Onyedi Eylul University, Balikesir, Turkey
3 Department of Nursing, Amol Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
4 Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran

Date of Submission06-Apr-2021Date of Decision30-Mar-2022Date of Acceptance11-Apr-2022Date of Web Publication05-Sep-2022

Correspondence Address:
Dr. Roghieh Nazari
Department of Nursing, Amol Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jnms.jnms_52_21

Rights and Permissions

Context: The COVID-19 pandemic had consequences such as fear and anxiety in humans.
Aims: The present study aimed to adapt the COVID-19 Phobia Scale (C19P-S) into Persian and test the psychometric properties of the adapted scale.
Settings and Design: This study was conducted in Iran during December 2020.
Materials and Methods: The C19P-S was used to obtain data from 600 Iranian individuals aged 16–65 years.
Statistical Analysis Used: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evaluate the construct validity. The average variance extracted and construct reliability were used to assess the convergent validity and the maximum shared squared variance and average shared squared variance were used to assess discriminant validity. Cronbach's alpha was used to evaluate the internal consistency.
Results: The results of EFA indicated that Kaiser–Meyer–Olkin value (0.831) approved sampling adequacy. The communality of Psy6 and factor loading of Soc5 were lower than 0.4; therefore, they were removed. The cumulative variance explained with 4 factors and 18 items was 69%. The results of the CFA indicated that the measurement model fits the data well (Goodness of Fit Index = 0.891, Tucker–Lewis Index = 0.901, Comparative Fit Index = 0.920, Incremental Fit Index (IFI) = 0.922, Root Mean Square Error of Approximation = 0.065, and χ2/df = 1.807), suggesting construct validity. Further, the results confirmed the convergent and discriminant validity. Cronbach's alpha coefficients of the four dimensions ranged between 0.760 and 0.878, suggesting that the Persian C19P-S is a reliable scale.
Conclusions: Persian C19P-S with 4 dimensions and 18 items is reliable and valid in measuring the COVID-19 phobia among the Iranian general population.

Keywords: Psychometrics, COVID-19, Phobia, Scales


How to cite this article:
Barzegari S, Arpaci I, Hasani A, Zabihi A, Nazari R. Psychometric properties of the Persian COVID-19 phobia scale. J Nurs Midwifery Sci 2022;9:205-10
How to cite this URL:
Barzegari S, Arpaci I, Hasani A, Zabihi A, Nazari R. Psychometric properties of the Persian COVID-19 phobia scale. J Nurs Midwifery Sci [serial online] 2022 [cited 2022 Sep 6];9:205-10. Available from: https://www.jnmsjournal.org/text.asp?2022/9/3/205/355618   Introduction Top

One of the most important emerging infectious diseases in the world is COVID-19, which was appeared in late 2019 by a virus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).[1] The viral pandemic can affect people in many aspects, including psychological, social, political, and economic.[2] Various studies have shown that pandemic diseases have caused depression, anxiety, fear of death, and posttraumatic stress disorder.[3],[4],[5] One of the countries affected heavily by coronavirus was Iran.[6]

Ambiguity and the risks of this disease may lead to phobic reactions. The researchers claimed that various emotional concerns such as psychological problems, perceived sensitivity to the disease, and disproportionate anxiety during the pandemic may manifest themselves as chronophobia. Because phobia is defined as a disproportionate fear response to a subject or state of anxiety or fear stimulus, researchers used the term chronophobia to refer excessive fear caused by the COVID-19.[7] Thus, “corona phobia” can be categorized as a specific type of panic in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V).[8] Individuals provide disproportionate cognitive, emotional, or behavioral responses to objects associated with COVID-19 that can impair physiological and psychological functions.[9] The disease also affects all areas of life since its risk factors are numerous, unique, and diverse compared to other epidemics. Thus, fear may go beyond getting sick and trigger other fears, such as economic and social problems.[10]

Given that the American Psychiatric Association recommended the development of assessment tools that conform to the DSM-V criteria for specific phobia disorders, Arpaci et al. developed the COVID-19 Phobia Scale (C19P-S). The C19P-S is a five-point Likert scale that has four dimensions and 20 items, to measure the somatic, psychological, social, and economic effects of the COVID-19. The psychological dimension contains items related to the excessive fear and anxiety due to a potential infection with COVID-19. The somatic dimension includes items associated with the physical symptoms due to the COVID-19. Economic dimension includes items related to hoarding behavior due to the breakdown of supply chain during the pandemic. The social dimension includes items related to experiences of social phobia due to the COVID-19. They performed an initial test on the psychometric properties and confirmed the reliability and validity of the scale.[9] Based on the above mentioned, the present study investigated the psychometric properties of the Persian C19P-S.

  Materials and Methods Top

This cross-sectional and methodological study was conducted in four steps after approval by the ethics committee(Ethical code: IR.MAZUMS.REC.1400.8871) in Iran. First, we translated the C19P-S from English to Persian and tested face and content validity. In step 2, participants whose ages ranged from 16 to 65 years completed the C19P-S. Then, we measured the structural validity of the scale by using exploratory and confirmatory factor analysis (CFA). We also assessed the convergent and discriminant validity of the scale. In the final step, we evaluated the internal reliability of the scale.

Step 1: Translation and face and content validation of the COVID-19 Phobia Scale

This step consists of two phases including forward-backward translation to Persian language along with face and content validation. We translated the items conceptually and cross-culturally by one translator, who was a specialist in psychology and nursing. It was then translated into English by another translator. Finally, the English version of the scale was sent to the developers of the original C19P-S and approved by them.

The expert panel consisted of 10 nursing and psychology faculty members of Mazandaran University of Medical Sciences and evaluated the content and face validity of the scale. For qualitative face validity, they assessed the Persian translation to identify problems, grammatical errors, and ambiguities. The impact score for each item was calculated to assess the quantitative face validity. The content validity ratio was used for assessing the content validity. The cut point for impact score and Content Validity Ratio (CVR) were higher than 1.5 and 0.62, respectively. The final version of the Persian C19P-S was approved by the expert panel.

Step 2: Data collection

The questionnaire consisted of two parts: (1) questions about demographic characteristics such as age, sex, educational attainment, marital status, COVID-19 diagnosis, international travel, and contact with travelers, COVID-19-positive contact, and relative/friend dead from COVID-19 and (2) the five-point Likert C19P-S that has 20 items. Adequate sample size for conducting the exploratory and CFA is 10 samples per item.[11] However, a total of 600 respondents (18–65 years old) voluntarily completed the C19P-S during December 2020.

Step 3: Assessing structural, convergent, and discriminant validity

The exploratory factor analysis (EFA) was performed to explore the factor structure of the scale using 300 respondents. We used the eigenvalue ≥1 as an index to identify the latent factors. Explained variance for each factor and scale was measured. Sampling adequacy was measured by using the Kaiser–Meyer–Olkin (KMO ≥0.80).[12]

The CFA was employed using 300 respondents to assess the goodness of fit of the extracted structure by using the following indices, “Comparative Fit Index” (CFI ≥0.90), “Tucker–Lewis Index” (TLI ≥0.90), “Root Mean Square Error of Approximation” (RMSEA ≤0.06), “Chi-square/Degree of Freedom” (CMIN/DF ≤3), and “Goodness of Fit Index” (GFI ≥0.90).[13]

The “average variance extracted” (AVE ≥0.50) and “construct reliability” (CR ≥0.70) were used to assess the convergent validity. The “maximum shared squared variance” (MSV ≤AVE) and “average shared squared variance” (ASV ≤AVE) were used to assess discriminant validity.[13]

Step 4: Assessing internal reliability

The Cronbach's alpha coefficients (α ≥0.70) were measured to evaluate the internal reliability of the scale.[14],[15] All of the statistical analyses were conducted by using IBM SPSS and Amos (ver. 20).

  Results Top

The face and content validity of the Persian C19P-S was approved based on the impact score and CVR results, and there were no cross-cultural and conceptual problems. Based on the Lawshe table, the CVR scores for each item were higher than the acceptable level (0.78–1). Six hundred participants (response rate: 80.16%) with informed consent completed the scale [Table 1].

The KMO value (0.831) approved sampling adequacy [Table 2]. The communality (except for Psy6 = 0.196) and factor loading of each item (except for Soc5 = 0.210) were higher than 0.4; therefore, Psy6 and Soc5 were removed. The cumulative variance explained with four factors was 69%.

Table 2: Descriptive statistics, factor loading, and communality of items and variance explained by factors

Click here to view

The CFA confirmed the goodness of fit of the extracted structure by the EFA. The CFI = 0.920, TLI = 0.901, IFI = 0.922, GFI = 0.891, RMSEA = 0.065, and χ2/df value were on the favorable threshold (χ2/df = 1.807, df = 124, P ≤ 0.001). Factor loading of each item was higher than 0.4 and all retained [Figure 1].

Cronbach's alpha internal reliability coefficient of the scale (α =0.910) was optimal; therefore, the internal consistency was confirmed. The discriminant and convergent validity values for each factor were in the acceptable thresholds [Table 3].

  Discussion and Conclusion Top

This study investigated the psychometric properties of the C19P-S in the Iranian sample. The C19P-S was developed by Arpaci et al.; it has a four-factor structure and 20 items. The scale aims to measure psychological, economic, somatic, and social effects of the COVID-19 pandemic. Psychological dimension contains six items related to the excessive fear and anxiety due to a potential infection of the COVID-19. Somatic dimension includes five items associated with the physical symptoms due to the COVID-19. Economic dimension includes four items associated with hoarding behaviors due to the breakdown of supply chain during the pandemic. Social dimension includes five items related to the experiences of social phobia as a consequence of the COVID-19.[9]

In the present study, the EFA results extracted four factors that were similar to the original scale developed by Arpaci et al. However, factor loadings of the fifth and sixth items were less than the threshold value of 0.40; therefore, these items were eliminated. The rest of the items were explained 69% of the total variance. In the study, the highest variance was explained by the psychosomatic factor (R2 = 18.2). Whereas, the highest variance was explained by the psychological factor (16.97%) in the original study. In the present study, the psychological factor explained 17.8% of the total variance.

Studies have reported that psychological symptoms such as fear, anxiety, and phobia were prevalent during the pandemic as well as in the previous epidemics, including H1N1, MERS, SARS, Zika, and Ebola.[2],[16] Prior findings showed that long-term quarantine and misinformation about coronavirus as well as posttraumatic stress disorder, confusion, and anger have negative psychological effects.[17] Gibbons et al. found that health professionals' accurate information about the pandemic can be useful in preventing the psychological effects of the COVID-19.[18]

During the quarantine of the COVID-19 pandemic, daily activities such as eating, sleeping, exercising, and social activities were restricted.[16] Mohammed Hussien et al. revealed that the most common determinants for the COVID-19 phobia were related to the psychological factors. They also emphasized the role of psychosomatic factors, which are associated with the complications of biological and psychosocial factors, in explaining the COVID-19 phobia.[19] Likewise, prior studies have shown that stressful life events such as COVID-19 pandemic can be closely related to gastrointestinal symptoms and chronic pain.[20],[21]

The COVID-19 pandemic has disrupted the economic and social situation all around the world, and therefore, mental health of people was seriously affected.[22] Previous findings showed that the negative effects of the COVID-19 were not limited to the psychological but also economic and social.[23] They also showed that women have more economic concerns than men, while men have more psychosomatic health concerns. Supporting this, a recent study has reported that COVID-19 could indirectly lead to an increase in unemployment and rising inflation all over the world.[24]

Social relationships refer to the relationships that exist between friends, family members, and co-workers. The quality of social relationships depends on the impact of the stresses on individuals.[25] During the pandemic, fundamental changes have been observed in social relations. People have been reported to feel unwell and lonely due to social distance.[24] Social isolation reduced quality of life while increasing psychosocial problems.[26] Prior studies have shown that the COVID-19 pandemic has led to excessive fear in the community; people try to maintain their social distance in the streets and public places to not transmit the virus to their families.[27] Naser (2021) argued that the pandemic has profound negative impacts on the social communication. For example, 76% of the participants reported that they have contacted only their family members during the pandemic.[28]

The internal reliability coefficient was found as 0.91 in the study, indicating good reliability. This result was consistent with the original study (α = 0.93)[9] and the study conducted in South Korea (α = 0.95).[29] The high reliability means that the items in the scale have an internal correlation and measure a unit concept.[9] It is important to note that this tool has already been validated in Turkey, South Korea, and the United States.[9],[17],[29] These studies were designed to provide a valid tool for early detection and intervention for the COVID-19 phobia.[30]

In the current study, the structural validity was evaluated using a CFA and the results revealed that the adapted scale is a valid tool that can be used in Iranian society for assessing the COVID-19 phobia. Community managers and policymakers can use this scale, especially during the pandemic, to assess individuals' phobia of COVID-19 and ultimately lead to improving the mental health in the community.

The present study has some limitations. The design of the study was cross-sectional, and the sample size was limited. Similarly, for the Italian version,[31] the authors emphasized the importance of conducting more studies with a larger sample from different cultures to examine the factor structure of the scale. Further, only 110 (18.3%) participants were infected by the COVID-19, and none of them were having a phobia-related diagnosis. Future research should, therefore, include those individuals diagnosed with a social phobia, hoarding disorder, or specific phobia.

Conflicts of interest

There are no conflicts of interest.

Authors' contribution

Saeed Barzegari: Conceptualization, Investigation, Project administration, Supervision, Writing - original draft, Writing - review & editing. Ibrahim Arpaci: Investigation, Writing - original draft, Writing - review & editing. Abdolmotalleb Hasani: Conceived and designed the analysis, Performed the analysis. Ali Zabihi: Roghieh Nazari: Collected the data, Contributed data or analysis tools.

Financial support and sponsorship

This work was supported by the Mazandaran University of Medical Sciences.

Acknowledgment

The authors would like to thank the deputy of research at Mazandaran University of Medical Sciences, all participations of this study.

 

  References Top
1.Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 2020;579:270-3.  Back to cited text no. 1
    2.Ibrahim NK. Zika virus: Epidemiology, current phobia and preparedness for upcoming mass gatherings, with examples from World Olympics and Pilgrimage. Pak J Med Sci 2016;32:1038-43.  Back to cited text no. 2
    3.Ford BN, Yolken RH, Dickerson FB, Teague TK, Irwin MR, Paulus MP, et al. Reduced immunity to measles in adults with major depressive disorder. Psychol Med 2019;49:243-9.  Back to cited text no. 3
    4.Huang Y, Zhao N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: A web-based cross-sectional survey. Psychiatry Res 2020;288:112954.  Back to cited text no. 4
    5.Akat M, Karataş K. Psychological effects of COVID-19 pandemic on society and its reflections on education. Electron Turk Stud 2020;15:4.  Back to cited text no. 5
    6.Lipsitch M, Swerdlow DL, Finelli L. Defining the epidemiology of covid-19 – Studies needed. N Engl J Med 2020;382:1194-6.  Back to cited text no. 6
    7.Arpaci I, Alshehabi S, Al-Emran M, Khasawneh M, Mahariq I, Abdeljawad T, et al. Analysis of twitter data using evolutionary clustering during the COVID-19 pandemic. Comput Mater Continua 2020;65:193-204.  Back to cited text no. 7
    8.Bidhendi TE, Heydari S, Yekta MR, Niusha B. New tools in the field of measuring the psychological variables (Stress, Anxiety, Fear and Life Style) affected by the prevalence of coronavirus. Tbilisi, Georgia: Proceedings of the 8th International Conference on Psychology of Education Sciences and Lifestyle; 2021.  Back to cited text no. 8
    9.Arpaci I, Karataş K, Baloğlu M. The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S). Pers Individ Dif 2020;164:110108.  Back to cited text no. 9
    10.Mertens G, Gerritsen L, Duijndam S, Salemink E, Engelhard IM. Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. J Anxiety Disord 2020;74:102258.  Back to cited text no. 10
    11.Barzegari S, Ghazisaeedi M, Askarian F, Jesmi AA, Gandomani HS, Hasani A. Hospital information system acceptance among the educational hospitals. J Nurs Midwifery Sci 2020;7:186.  Back to cited text no. 11
  [Full text]  12.Ghazisaeedi M, Mahmoodi H, Arpaci I, Mehrdar S, Barzegari S. Validity, reliability, and optimal cut-off scores of the WHO-5, PHQ-9, and PHQ-2 to screen depression among university students in Iran. Int J Ment Health Addict 2021;1:1-10.  Back to cited text no. 12
    13.Safdari R, Yu P, Khenarinezhad S, Ghazanfari Savadkoohi E, Javanmard Z, Yousefi A, et al. Validity and reliability of the Persian version of the Patient readiness to engage in health information technology (PRE-HIT) instrument. BMC Prim Care 2022;23:50.  Back to cited text no. 13
    14.Arpaci I, Barzegari S, Askarian F. Adoption of Picture Archiving and Communication System (PACS) by Healthcare Professionals. In International Conference on Emerging Technologies and Intelligent Systems 2021 Apr 5 (pp. 807-813). Springer, Cham.  Back to cited text no. 14
    15.Arpaci I, Barzegari S, Mahmoodi H, Afrooz E, Ranjbar AZ. Psychometric Characteristics of the Iranian Smartphone Addiction Inventory Short Form (SPAI-SF). InInternational Conference on Emerging Technologies and Intelligent Systems 2021 Apr 5 (pp. 633-641). Springer, Cham.  Back to cited text no. 15
    16.Kim CW, Song HR. Structural relationships among public's risk characteristics, trust, risk perception and preventive behavioral intention: The case of MERS in Korea. Crisisnomy 2017;13:85-95.  Back to cited text no. 16
    17.Arpaci I, Karatas K, Baloglu M, Haktanir A. COVID-19 phobia in the United States: Validation of the COVID-19 Phobia Scale (C19P-SE). Death Stud 2022;46:553-9.  Back to cited text no. 17
    18.Lee SA, Jobe MC, Mathis AA, Gibbons JA. Incremental validity of coronaphobia: Coronavirus anxiety explains depression, generalized anxiety, and death anxiety. J Anxiety Disord 2020;74:102268.  Back to cited text no. 18
    19.Mohammed Hussien R. Coronaphobia and its impact on quality of life in a sample of the general population of Saudi Arabia. Egypt J Health Care 2022;13:1052-64.  Back to cited text no. 19
    20.Barkmann C, Braehler E, Schulte-Markwort M, Richterich A. Chronic somatic complaints in adolescents: Prevalence, predictive validity of the parent reports, and associations with social class, health status, and psychosocial distress. Soc Psychiatry Psychiatr Epidemiol 2011;46:1003-11.  Back to cited text no. 20
    21.Pacella ML, Hruska B, Delahanty DL. The physical health consequences of PTSD and PTSD symptoms: A meta-analytic review. J Anxiety Disord 2013;27:33-46.  Back to cited text no. 21
    22.Mahmud MS, Rahman MM, Masud-Ul-Hasan M, Islam MA. Does 'COVID-19 phobia' stimulate career anxiety?: Experience from a developing country. Heliyon 2021;7:e06346.  Back to cited text no. 22
    23.Baloglu M, Karatas K, Arpaci I. Psychological and socio-economic effects of the COVID-19 pandemic on Turkish population. In: Emerging Technologies During the Era of COVID-19 Pandemic. Switzerland AG: Springer; 2021. p. 245-58.  Back to cited text no. 23
    24.Udaya, R.M.D. The Impact of COVID-19 on Economy of Sri Lanka. Available at SSRN: https://ssrn.com/abstract=3909354 or http://dx.doi.org/10.2139/ssrn.3909354; 2021.  Back to cited text no. 24
    25.Umberson D, Montez JK. Social relationships and health: A flashpoint for health policy. J Health Soc Behav 2010;51 Suppl: S54-66.  Back to cited text no. 25
    26.Gardiner C, Geldenhuys G, Gott M. Interventions to reduce social isolation and loneliness among older people: An integrative review. Health Soc Care Community 2018;26:147-57.  Back to cited text no. 26
    27.Pakpour AH, Griffiths MD, Lin CY. Assessing psychological response to the COVID-19: The fear of COVID-19 scale and the COVID stress scales. Int J Ment Health Addict 2021;19:2407-10.  Back to cited text no. 27
    28.Naser AY, Al-Hadithi HT, Dahmash EZ, Alwafi H, Alwan SS, Abdullah ZA. The effect of the 2019 coronavirus disease outbreak on social relationships: A cross-sectional study in Jordan. Int J Soc Psychiatry 2021;67:664-71.  Back to cited text no. 28
    29.Bilgiç Ş, Baloğlu M, Tokalilar S. Adapting and validating the coronavirus-19 phobia scale (C19P-S) in Korea. Death Stud 2022;46:590-4.  Back to cited text no. 29
    30.Leite Â, Vidal DG, Sousa HF, Dinis MA, Magano J. Portuguese version of COVID-19 perceived risk scale and COVID-19 phobia scale: Psychometric properties. Eur J Investig Health Psychol Educ 2021;11:1044-60.  Back to cited text no. 30
    31.Soraci P, Ferrari A, Abbiati FA, Del Fante E, De Pace R, Urso A, et al. Validation and psychometric evaluation of the Italian version of the fear of COVID-19 scale. Int J Ment Health Addict 2020;4:1-10.  Back to cited text no. 31
    
  [Figure 1]
 
 
  [Table 1], [Table 2], [Table 3]
  Top  

留言 (0)

沒有登入
gif