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Article

Relationship of Societal Adaptation with Vaccine Worries among Healthcare Workers during the COVID-19 Pandemic: The Mediating Effects of Posttraumatic Stress Disorder

1
Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung 80276, Taiwan
2
Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
3
Department of Nursing, Meiho University, Pingtung 91200, Taiwan
4
Graduate Institute of Counseling Psychology and Rehabilitation Counseling, National Kaohsiung Normal University, Kaohsiung 80201, Taiwan
5
Department of Social Work, National Taiwan University, Taipei 10617, Taiwan
6
Department of Medical Humanities and Education, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
7
Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
*
Authors to whom correspondence should be addressed.
Contributed equally as corresponding authors.
Shared equally with 1st author.
Int. J. Environ. Res. Public Health 2022, 19(15), 9498; https://doi.org/10.3390/ijerph19159498
Submission received: 3 July 2022 / Revised: 25 July 2022 / Accepted: 1 August 2022 / Published: 2 August 2022

Abstract

:
Vaccine hesitancy has become a major public health problem among healthcare workers (HCWs) in this coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to examine the relationship between societal adaptation and vaccine worries and the mediating effects of posttraumatic stress disorder (PTSD) indicators in HCWs. A total of 435 HCWs (327 women and 108 men) were recruited. Their levels of societal adaptation were evaluated using the Societal Influences Survey Questionnaire (SISQ). Their severity and frequency of PTSD symptoms were examined using the Disaster-Related Psychological Screening Test (DRPST). The severity of vaccine worries was assessed using the Vaccination Attitudes Examination (VAX) Scale. The relationships among societal adaptation, PTSD, and vaccine worries were examined using structural equation modeling. The severity of societal adaptation was positively associated with both the severity of PTSD and the severity of vaccine worries. In addition, the severity of PTSD indicators was positively associated with the severity of vaccine worries. These results demonstrated that the severity of societal adaptation was related to the severity of vaccine worries, either directly or indirectly. The indirect relationship was mediated by the severity of PTSD. Societal adaptation and PTSD should be taken into consideration by the community of professionals working on vaccine hesitancy. Early detection and intervention of PTSD should be the objectives for programs aiming to lower vaccine hesitancy among HCWs.

1. Introduction

1.1. Societal Adaptation during COVID-19 Pandemic

Coronavirus disease 2019 (COVID-19) has been spread worldwide since the end of 2019, and deeply affected people′s daily lives in health and social-economic status [1]. Therefore, COVID-19 has become a biological disaster [2,3].
Societal adaptation consists of the behavior changes to prevent COVID-19 infection [4]. A study in German reported protective behaviors as washing hands more often and longer, avoiding busy places or reduced personal meetings and contacts, keeping social distance, using disinfectants, and school/work adaption [5]. It is still unclear whether individuals are aware of infection risk and adapt their vaccinated behaviors during the COVID-19 pandemic.

1.2. Vaccine Hesitancy in Healthcare Workers (HCWs)

By achieving herd immunity, vaccination is the most hopeful way of controlling COVID-19 since December 2020 [6,7,8]. However, the achievement of herd immunity is a challenge, because the vaccine attitude in the general population was complex and attributed by many factors [9,10].
Vaccine hesitancy has increased in the past 20 years due to the global anti-vaccination message transmission through social media and Internet [11]. Although the politicization of the COVID-19 virus and the speedy vaccine development likely increase vaccine hesitancy, researches on factors related to vaccination beliefs are needed [12].
Healthcare workers (HCWs), not only at risk of infection [13], but also provided vaccination information to patients, are the key to the success of COVID-19 vaccination [14]. HCWs has high priority in COVID-19 vaccination in many countries. However, vaccine hesitancy, including vaccination refusal or delay, in HCWs was noted [15]. Clarifying factors related to HCWs′ attitude toward COVID-19 vaccines can provide new solutions for vaccine hesitancy.

1.3. Psychological Impact of HCWs

HCWs in Taiwan are vulnerable in PTSD during the COVID-19 pandemic due to previous experience of SARS, infection risk, work overload, and emotional burden [16,17,18]. The most common psychiatric disorders of COVID-19 on HCWs were post-traumatic stress disorder (PTSD), depression and anxiety in several studies [19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46]. A study in China revealed that the prevalence rates of anxiety, depression and insomnia were 5.9% in doctors and 35% in nurses. Furthermore, the risk factors were female, low social support, contact with confirmed or suspected cases and working on the clinical front-line in China [47]. Overworked and under-resourced HCWs could refuse to work by infection risk. Therefore, shortages of HCWs could happen, which may further exacerbate the overwork problems [48]. Hence, psychological impacts of HCWs shouldn′t be omitted, even relatively smaller cases in Taiwan than other countries.
Surprisingly, few studies have examined the relationship between mental health and vaccination hesitancy. A study reported that individuals with depression or anxiety history are more willing to get influenza vaccinations compared to those without [49]. In contrast, a study reported the relationship between children with low immunization rates and their mothers with a depression history [50], although null results have also been reported in another study [51]. No known studies have investigated how PTSD relates to vaccine hesitancy in HCWs.

1.4. Aims of This Study

No study has examined the relationship between societal adaption of COVID-19, PTSD, and vaccine hesitancy. This study examined the mediating effects of PTSD on the relationship between societal adaptation and vaccine worries in HCWs. We hypothesized that PTSD is positively associated with vaccine worries and that PTSD mediate the relationship between societal adaptation and vaccine worries.

2. Materials and Methods

2.1. Participants and Ethics

This is our second-year follow up study by our group, and the first year outcome has been published elsewhere [4,52,53,54]. We recruited participants through printed advertisements posted in the public area in the Kaohsiung Municipal Kai-Syuan Psychiatric Hospital in Taiwan, from 30 May 2021 to 30 June 2021. This study is a cross-sectional survey with paper-and-pencil questionnaires, and research assistants individually explained the procedures to the participants in order to complete the research questionnaires. The inclusion criteria were: (1) healthcare team members who were willing to participate, (2) could understand the objective of the study and follow the instructions from research assistants, (3) were aged between 20 to 80 years, and (4) signed informed consent before filling in the questionnaire. Data with missing values or from those who could not complete the questionnaire were excluded.
This study was approved by the institutional review board of Kai-Syuan Psychiatric Hospital (KSPH-2020-03). This study was registered at Clinicaltrials.gov (Identifier number: NCT04389476).

2.2. Measures

2.2.1. Post-Traumatic Stress Disorder Scale from the Disaster-Related Psychological Screening Test (DRPST)

We used the PTSD scale of DRPST in this study to assess the level of PTSD severity and frequency. DRPST has been tested with acceptable reliability and validity in screening for PTSD after a disaster [55,56]. Eight items were used to estimate the status of PTSD severity and frequency, including re-experiencing, avoidance, numbing and arousal which had persisted for more than 2 weeks in the preceding 1 month. Each item was rated on a 5-point Likert scale, with scores ranging from 0 (never/no) to 5 (everyday/profound). Higher total scores of the three items indicated higher levels of PTSD frequency and severity. Comparing with a relatively low total score, a relatively high total score indicates a higher level of trauma-related symptoms. The Cronbach′s α of PTSD severity scale and PTSD frequency scale of DRPST in this study was 0.86 and 0.84, respectively, which was in an acceptable range [57].

2.2.2. Social Adaptation Category from Societal Influences Survey Questionnaire (SISQ)

The Societal Influences Survey Questionnaire (SISQ) was developed to measure the psychological and social impact of the COVID-19 pandemic on individuals, and it was tested as having acceptable validity and reliability [58]. We used the social adaptation category of societal influences survey questionnaire to evaluate the level of social adaptation regarding to COVID-19. Four items were used to estimate the status of adaptive behaviors related to COVID-19, including awareness of progress of the pandemic overseas in the preceding 1 month. Each question was composed of a 4-point scale, with scores ranging from 1 (never) to 4 (often). A relatively high total score of social adaptation domain indicates a higher level of social desirability than a relatively low total score. The Cronbach’s α of social adaptation domain of SISQ in the present study was 0.48, which was in an acceptable range [57].

2.2.3. Worries about Unforeseen Future Effects Domain from Vaccination Attitudes Examination (VAX) Scale

We used the worries about unforeseen future effects domain of the Vaccination Attitudes Examination (VAX) scale to evaluate the participants’ level of worries about COVID-19 vaccine in this study. VAX has been reported with good validity and reliability [59]. Three items were used to estimate the status of worries related to COVID-19 vaccine in the preceding 1 month. Each question was composed of a 6-point scale, with scores ranging from 1 (not at all) to 6 (extreme). A relatively high total score of the worries about unforeseen future effects domain indicates higher level of vaccine worries than a relatively low total score. The Cronbach’s α of worries about unforeseen future effects domain in this study was 0.64, which was in an acceptable range [57].

2.2.4. Demographic Characters

Other demographic information was recorded as continuous variables, including the participants’ age and their education level. Categorical variables including gender, occupational status, and marital status, were also recorded.

2.3. Statistical Analysis

The hypothesized model for the relationship among societal adaption, vaccine worries, and PTSD is presented in Figure 1. We hypothesized that societal adaptation is positively associated with PTSD and vaccine worries. Furthermore, PTSD mediates the relationship between societal adaptation and vaccine worries.
We used structural equation model (SEM) to exam parameters, model adequacy, and evaluate the agreement between the data and the model [60]. We used the Amos 18.0 software (IBM SPSS, Armonk, NY, USA), adapting the maximum likelihood method, to calculate goodness-of-fit index (GFI), non-normed fit index (NNFI), incremental fit index (IFI), comparative fit index (CFI), root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR) [61]. According to the goodness-of-fit requirement, NNFI, GFI, IFI, and CFI need to be higher than 0.9; the values of RMSEA and SRMR between 0.05–0.09 are acceptable [61]. We used Sobel test to test the mediating effect of PTSD on the relationship between societal adaptation and vaccine worries. A two-tailed p value of less than 0.05 was considered statistically significant.

3. Results

Summary of Demographic Analysis and Scores of the Questionnaires

There were 560 individuals recruited in this study, but 125 who did not complete the copy of the questionnaire. Four hundred and thirty-five participants (327 females and 108 males) were analyzed (Table 1). There were no significant differences in sex or age between those who completed the coy of questionnaire and those who did not.
The correlation matrix of measured variables are shown in Table 2. The results showed the PTSD, social adaptation and vaccine worries were all significant correlated to each other.
The goodness-of-fit indices of SEM for the hypothesized model on the relationship among societal adaption, vaccine worries, and PTSD are presented in Table 3. The estimated coefficients of paths in our hypothesized model are showed in Figure 2. The goodness-of-fit indices for the hypothesized model were all acceptable. The result of the Sobel test certificated the mediating effect of PTSD on the relationship between societal adaptation and vaccine worries (Z = 2.235, p < 0.05).
Moreover, we found that all hypothesized paths were significant. The level of societal adaptation was positively associated with the severity of vaccine worries and PTSD. Additionally, the severity and frequency of PTSD symptoms were positively associated with the severity of vaccine worries. Furthermore, the severity of societal adaptation was related straightforwardly to the severity of vaccine worries and related concomitantly to the severity of vaccine worries through increasing the severity and frequency of PTSD symptoms.

4. Discussion

Our study was the first study to examine the relationship between societal adaptation, vaccine worries, and PTSD among HCWs. The results of this study demonstrated that societal adaptation was directly related to vaccine worries and indirectly related to vaccine worries by the mediation of PTSD.

4.1. Societal Adaptation and Vaccine Worries

The relationship between societal adaptation and vaccine attitude has been complicated. People took societal adaptive behaviors based on risk perception. Risk perception is defined as personal judgement regarding an event [62]. Risk interpretation is influenced by cognition, affective reactions [63], and contextual factors [64]. A study carried out showed that people who sensed a greater risk of COVID-19 infection were more likely to have adaptive behaviors such as washing their hands and maintaining social distancing [65]; another study reported that risk perception was reported to be positively correlated with depression in patients with COVID-19 [66]. A meta-analysis, examined the relationship between risk appraisals, intentions and behaviors, revealed that heightening risk appraisals changes intentions and behavior [67]. Therefore, it is reasonable that when people perceive a heightened risk of COVID-19, they are more likely to take adaptive behaviors, including vaccination [68]. However, in our study, we found societal adaption was positive related to vaccine worries. This phenomena was also reported in several studies. A study in the U.S showed a decrease in COVID-19 vaccine intentions during March 2020 to August 2020 [69]. Another study in the United States explored disease risk awareness and behavior adaption [70]. Participants showed increasing awareness of risk and reported taking protective behaviors with increasing frequency, comparing with general population.
The motivations of vaccination were diverse. A study examined the differences in intention to receive a COVID-19 vaccination between HCWs and the general population by Protection Motivation Theory (PMT) in Taiwan [71]. They found that HCWs were more motivated in taking COVID-19 vaccination than the general population. Responses of COVID-19 vaccination such as efficacy and knowledge were positively associated with vaccination motivation in both HCWs and the general population, but the awareness of vulnerability, severity, and response cost of COVID-19 vaccination was positively associated with motivation in the general population, but not in HCWs. One of the explanation is that HCWs may have different coping strategies toward COVID-19 from general population [72].
There are several possible explanations for the positive association between societal adaption and vaccine worries. First, HCWs with higher levels of adaptive behaviors are confident with their infection control strategies, and therefore disregard the need for vaccination. Second, HCWs with full medical training worry about rare but severe adverse effects of the vaccine [73], especially in a rapid development process [74].

4.2. Societal Adaptation and PTSD

HCWs may have severe and lasting emotional stress in large-scale disease epidemics [75,76,77]. In terms of the psychological impact of COVID-19, HCWs are vulnerable for infection risk, workload and transmission to their families [78]. At the beginning of the COVID-19 pandemic, the prevalence of mental health problems was 40% in China HCWs [22,45]. Two-weeks after Wuhan lockdown, the prevalence of female HCWs with depression, anxiety and stress symptoms were ranging from 10–30% [79]. A Spanish study revealed HCWs had more stress-related symptoms than non-HCWs [20]. A Chinese study reported that frontline nurses were more traumatized than non-frontline nurses [80]. Another study reported that HCWs were more fearful compared with to non-clinical colleagues [81]. Above findings suggested that HCWs suffered higher levels of psychological symptoms, including anxiety, depression and acute stress symptoms, than the general population.
Individuals with good societal adaptation may have good coping strategies toward stress. There are several different coping strategies, including acceptance, resilience, active coping and positive framing [82]. Furthermore, doctors prefer plan, yet nurses use behavioral disengagement [82]. A study focusing on HCWs in Taiwan showed that female, older, more education years, married, regular intake, and higher PTSD frequency suffered more societal influence [4]. Exercise was a commonly used coping strategy in American HCWs, followed by online self-guided counselling with an individual therapist [32]. However, HCWs who adapted well at first with their own coping strategies may be exhausted, helpless, hopeless, have negative thoughts of the future, which then increases the risk of PTSD in this long-lasting COVID-19 pandemic.

4.3. PTSD and Vaccine Worries

We found that the severity and frequency of PTSD were positively correlated with vaccine worries in our SEM model (Figure 1). There are conceptual reasons to believe that PTSD is relevant to vaccine hesitancy. Persisting negative beliefs toward oneself, others, or the world is one of the PTSD criteria defined by the fifth edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) [83]. Individuals who experience PTSD develop mistrust of others and institutions, a negative view of the world [84,85,86], and a lack of trust in healthcare providers [87]. The impact of distrust could persist years after the event, including in daily life and health behaviors [88], as well as reducing use of recommended healthcare services by traumatized individuals [89,90]. Distrust is pivotal for vaccine behaviors [91]. Vaccine decisions rely on trust in various aspects, including the efficacy (pharmaceutical companies), safety (the government), and delivery (medical providers) [12]. Therefore, aggressively detection and treatment PTSD in HCWs is important.
Our study highlight the importance of trauma related problems when addressing HCWs′ vaccine hesitancy. First, we suggested that early detection of mental health problems [39,46], especially PTSD, in HCWs by authorities or hospital administrators, as well as the extent and sources of stress among HCWs [75]. Moreover, hospital support systems should promote the psychological wellbeing of HCWs [92] by additional psychosocial support [93] with effective strategies [94] and adequate care [95]. Previous studies had empathized the importance of collaboration, training and education [77,82,96,97,98]. In addition, health authorities should provide support and training, counselling hotlines and offer reimbursements to HCWs [93,99]. Second, HCWs need to be informed about the COVID-19 vaccine development process and frame health messaging [100].

4.4. Limitations

The current study has several limitations. First, our data were self-reported and shared-method variance should be considered. Second, a single-center study may limit the generalizability. The diversity source, participants included doctors, nurses, occupational therapists, clinical psychologists, pharmacists, medical technologist, medical radiation technologist and physical therapists, may make the results complicated. Third, we did not examine the effect of gender in this study. Previous studies have suggested that females were more susceptible to develop symptoms of PTSD than males [101,102]. Female nurses taking care of COVID-19 patients had higher mental health risks than others [34,41,103]. In comparison with men, women express stronger emotions, more negative views of health, and then more psychological problems [104]. Women also exhibit differential neurobiological responses when exposed to stressors than men, and therefore are at risk of PTSD [105,106]. Fourth, we did not ascertain the participants′ physical diagnoses in this study. Patients with chronic diseases suffered from compromised immunity and a higher risk of mortality, and therefore were anxious toward COVID-19 infection [107,108,109,110]. The role of physical illness in the pathogenesis of PTSD was postulated that chronic physical illnesses influenced patients′ self-efficacy, and then reduced their recovery potential [111]. Fifth, the cross-sectional research design limited the ability to draw a causal relationship between societal adaption, vaccine worries and PTSD. Further longitudinal study can be helpful.

5. Conclusions

We found that societal adaptation was directly related to vaccine worries and indirectly related to vaccine worries by the mediation of PTSD. Therefore, societal adaptation and PTSD should be considered in the work of vaccine hesitancy. We suggested early detection and intervention for PTSD to reduce HCWs’ vaccine hesitancy.

Author Contributions

K.-Y.H. and H.-C.W.: conceptualization, methodology, formal analysis, investigation, writing—original draft. D.-J.L.: formal analysis, data curation, conceptualization. S.-T.H. and L.-S.C.: methodology, data curation. P.-J.W., G.-G.L., W.-J.C. and C.-L.L.: investigation. F.H.-C.C. and J.-J.H.: conceptualization, methodology, funding acquisition, project administration, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Taiwan Ministry of Science, grant number MOST 108-2625-M-280-001.

Institutional Review Board Statement

This study was approved by the institutional review board of Kai-Syuan Psychiatric Hospital (KSPH-2020-03).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

The authors appreciate the assistance of the staff at the Kaohsiung MunicipalKai-Syuan Psychiatric Hospital. All authors are responsible for the content and writing of the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chakraborty, I.; Maity, P. COVID-19 outbreak: Migration, effects on society, global environment and prevention. Sci. Total Environ. 2020, 728, 138882. [Google Scholar] [CrossRef]
  2. Lopez-Ibor, J.J. Disasters and mental health: New challenges for the psychiatric profession. World J. Biol. Psychiatry 2006, 7, 171–182. [Google Scholar] [CrossRef] [PubMed]
  3. Hsieh, K.Y.; Kao, W.T.; Li, D.J.; Lu, W.C.; Tsai, K.Y.; Chen, W.J.; Chou, L.S.; Huang, J.J.; Hsu, S.T.; Chou, F.H. Mental health in biological disasters: From SARS to COVID-19. Int. J. Soc. Psychiatry 2020, 67, 576–586. [Google Scholar] [CrossRef] [PubMed]
  4. Kao, W.T.; Hsu, S.T.; Chou, F.H.; Chou, L.S.; Hsieh, K.Y.; Li, D.J.; Lin, G.G.; Wu, P.J.; Chen, W.J.; Huang, J.J. The Societal Influences and Quality of Life Among Healthcare Team Members During the COVID-19 Pandemic. Front. Psychiatry 2021, 12, 706443. [Google Scholar] [CrossRef] [PubMed]
  5. Lüdecke, D.; Von dem Knesebeck, O. Protective Behavior in Course of the COVID-19 Outbreak—Survey Results From Germany. Public Health Front. 2020, 8, 572561. [Google Scholar] [CrossRef] [PubMed]
  6. Frederiksen, L.S.F.; Zhang, Y.; Foged, C.; Thakur, A. The long road toward COVID-19 herd immunity: Vaccine platform technologies and mass immunization strategies. Front. Immunol. 2020, 11, 1817. [Google Scholar] [CrossRef] [PubMed]
  7. Randolph, H.E.; Barreiro, L.B. Herd immunity: Understanding COVID-19. Immunity 2020, 52, 737–741. [Google Scholar] [CrossRef] [PubMed]
  8. Fontanet, A.; Cauchemez, S. COVID-19 herd immunity: Where are we? Nat. Rev. Immunol. 2020, 20, 583–584. [Google Scholar] [CrossRef]
  9. Fisher, K.A.; Bloomstone, S.J.; Walder, J.; Crawford, S.; Fouayzi, H.; Mazor, K.M. Attitudes toward a potential SARS-CoV-2 vaccine: A survey of US adults. Ann. Intern. Med. 2020, 173, 964–973. [Google Scholar] [CrossRef] [PubMed]
  10. Malik, A.A.; McFadden, S.M.; Elharake, J.; Omer, S.B. Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine 2020, 26, 100495. [Google Scholar] [CrossRef] [PubMed]
  11. Foundation, B. New Poll Reveals Most Effective Language to Improve COVID-19 Vaccine Acceptance 2020. Available online: https://debeaumont.org/changing-the-covid-conversation/vaccineacceptance/ (accessed on 30 June 2022).
  12. Milan, S.; Dáu, A.L.B.T. The Role of Trauma in Mothers’ COVID-19 Vaccine Beliefs and Intentions. J. Pediatr. Psychol. 2021, 46, 526–535. [Google Scholar] [CrossRef] [PubMed]
  13. Chersich, M.F.; Gray, G.; Fairlie, L.; Eichbaum, Q.; Mayhew, S.; Allwood, B.; English, R.; Scorgie, F.; Luchters, S.; Simpson, G. COVID-19 in Africa: Care and protection for frontline healthcare workers. Glob. Health 2020, 16, 46. [Google Scholar] [CrossRef] [PubMed]
  14. Wang, J.; Jing, R.; Lai, X.; Zhang, H.; Lyu, Y.; Knoll, M.D.; Fang, H. Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China. Vaccines 2020, 8, 482. [Google Scholar] [CrossRef] [PubMed]
  15. MacDonald, N.E. Vaccine hesitancy: Definition, scope and determinants. Vaccine 2015, 33, 4161–4164. [Google Scholar] [CrossRef] [PubMed]
  16. Cullen, W.; Gulati, G.; Kelly, B.D. Mental health in the COVID-19 pandemic. QJM 2020, 113, 311–312. [Google Scholar] [CrossRef]
  17. Kisely, S.; Warren, N.; McMahon, L.; Dalais, C.; Henry, I.; Siskind, D. Occurrence, prevention, and management of the psychological effects of emerging virus outbreaks on healthcare workers: Rapid review and meta-analysis. BMJ 2020, 369, m1642. [Google Scholar] [CrossRef] [PubMed]
  18. Shah, K.; Chaudhari, G.; Kamrai, D.; Lail, A.; Patel, R.S. How essential is to focus on physician’s health and burnout in coronavirus (COVID-19) pandemic? Cureus 2020, 12, e7538. [Google Scholar] [CrossRef] [Green Version]
  19. Rossi, R.; Socci, V.; Pacitti, F.; Di Lorenzo, G.; Di Marco, A.; Siracusano, A.; Rossi, A. Mental health outcomes among frontline and second-line health care workers during the coronavirus disease 2019 (COVID-19) pandemic in Italy. JAMA Netw. Open 2020, 3, e2010185-e. [Google Scholar] [CrossRef]
  20. García-Fernández, L.; Romero-Ferreiro, V.; López-Roldán, P.D.; Padilla, S.; Calero-Sierra, I.; Monzó-García, M.; Perez-Martin, J.; Rodriguez-Jimenez, R. Mental health impact of COVID-19 pandemic on Spanish healthcare workers. Psychol. Med. 2022, 52, 195–197. [Google Scholar] [CrossRef]
  21. Liu, C.-Y.; Yang, Y.-Z.; Zhang, X.-M.; Xu, X.; Dou, Q.-L.; Zhang, W.-W.; Cheng, A.S.K. The prevalence and influencing factors in anxiety in medical workers fighting COVID-19 in China: A cross-sectional survey. Epidemiol. Infect. 2020, 148, e98. [Google Scholar] [CrossRef]
  22. Kang, L.; Ma, S.; Chen, M.; Yang, J.; Wang, Y.; Li, R.; Yao, L.; Bai, H.; Cai, Z.; Yang, B.X. Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study. Brain Behav. Immun. 2020, 87, 11–17. [Google Scholar] [CrossRef] [PubMed]
  23. Zhang, W.-R.; Wang, K.; Yin, L.; Zhao, W.-F.; Xue, Q.; Peng, M.; Min, B.Q.; Tian, Q.; Leng, H.X.; Du, J.L. Mental health and psychosocial problems of medical health workers during the COVID-19 epidemic in China. Psychother. Psychosom. 2020, 89, 242–250. [Google Scholar] [CrossRef] [PubMed]
  24. Mo, Y.; Deng, L.; Zhang, L.; Lang, Q.; Liao, C.; Wang, N.; Qin, M.; Huang, H. Work stress among Chinese nurses to support Wuhan in fighting against COVID-19 epidemic. J. Nurs. Manag. 2020, 28, 1002–1009. [Google Scholar] [CrossRef] [Green Version]
  25. Zhou, Y.; Zhou, Y.; Song, Y.; Ren, L.; Ng, C.H.; Xiang, Y.-T.; Tang, Y. Tackling the mental health burden of frontline healthcare staff in the COVID-19 pandemic: China’s experiences. Psychol. Med. 2021, 51, 1955–1956. [Google Scholar] [CrossRef] [PubMed]
  26. Xiaoming, X.; Ming, A.; Su, H.; Wo, W.; Jianmei, C.; Qi, Z.; Hua, H.; Xuemei, L.; Lixia, W.; Jun, C. The psychological status of 8817 hospital workers during COVID-19 Epidemic: A cross-sectional study in Chongqing. J. Affect. Disord. 2020, 276, 555–561. [Google Scholar] [CrossRef] [PubMed]
  27. Wilson, W.; Raj, J.P.; Rao, S.; Ghiya, M.; Nedungalaparambil, N.M.; Mundra, H.; Mathew, R. Prevalence and predictors of stress, anxiety, and depression among healthcare workers managing COVID-19 pandemic in India: A nationwide observational study. Indian J. Psychol. Med. 2020, 42, 353–358. [Google Scholar] [CrossRef]
  28. Wasim, T.; E Raana, G.; Bushra, N.; Riaz, A. Effect of COVID-19 pandemic on mental wellbeing of healthcare workers in tertiary care hospital. Ann. King Edw. Med. Univ. 2020, 26, 140–144. [Google Scholar]
  29. Wańkowicz, P.; Szylińska, A.; Rotter, I. Assessment of mental health factors among health professionals depending on their contact with COVID-19 patients. Int. J. Environ. Res. Public Health 2020, 17, 5849. [Google Scholar] [CrossRef]
  30. Wang, L.-Q.; Zhang, M.; Liu, G.-M.; Nan, S.-Y.; Li, T.; Xu, L.; Xue, Y.; Zhang, M.; Wang, L.; Qu, Y.D. Psychological impact of coronavirus disease (2019)(COVID-19) epidemic on medical staff in different posts in China: A multicenter study. J. Psychiatr. Res. 2020, 129, 198–205. [Google Scholar] [CrossRef]
  31. Tian, T.; Meng, F.; Pan, W.; Zhang, S.; Cheung, T.; Ng, C.H.; Li, X.H.; Xiang, Y.T. Mental health burden of frontline health professionals treating imported patients with COVID-19 in China during the pandemic. Psychol. Med. 2022, 52, 398–399. [Google Scholar] [CrossRef] [PubMed]
  32. Shechter, A.; Diaz, F.; Moise, N.; Anstey, D.E.; Ye, S.; Agarwal, S.; Birk, J.L.; Brodie, D.; Cannone, D.E.; Chang, B. Psychological distress, coping behaviors, and preferences for support among New York healthcare workers during the COVID-19 pandemic. Gen. Hosp. Psychiatry 2020, 66, 1–8. [Google Scholar] [CrossRef]
  33. Sandesh, R.; Shahid, W.; Dev, K.; Mandhan, N.; Shankar, P.; Shaikh, A.; Rizwan, A. Impact of COVID-19 on the mental health of healthcare professionals in Pakistan. Cureus 2020, 12, e8974. [Google Scholar] [CrossRef] [PubMed]
  34. Pouralizadeh, M.; Bostani, Z.; Maroufizadeh, S.; Ghanbari, A.; Khoshbakht, M.; Alavi, S.A.; Ashrafi, S. Anxiety and depression and the related factors in nurses of Guilan University of Medical Sciences hospitals during COVID-19: A web-based cross-sectional study. Int. J. Afr. Nurs. Sci. 2020, 13, 100233. [Google Scholar] [CrossRef] [PubMed]
  35. Liu, Y.; Wang, L.; Chen, L.; Zhang, X.; Bao, L.; Shi, Y. Mental health status of paediatric medical workers in China during the COVID-19 outbreak. Front. Psychiatry 2020, 11, 702. [Google Scholar] [CrossRef] [PubMed]
  36. Lin, K.; Yang, B.X.; Luo, D.; Liu, Q.; Ma, S.; Huang, R.; Lu, W.; Majeed, A.; Lee, Y.; Lui, L.M. The mental health effects of COVID-19 on health care providers in China. Am. J. Psychiatry 2020, 177, 635–636. [Google Scholar] [CrossRef] [PubMed]
  37. Korkmaz, S.; Kazgan, A.; Çekiç, S.; Tartar, A.S.; Balcı, H.N.; Atmaca, M. The anxiety levels, quality of sleep and life and problem-solving skills in healthcare workers employed in COVID-19 services. J. Clin. Neurosci. 2020, 80, 131–136. [Google Scholar] [CrossRef]
  38. Yang, J.; Cheng, Y.; You, Q.; Liu, C.; Lai, X.; Zhang, Y.; Cheng, J.; Qiao, P.; Long, Y.; Xiang, X.; et al. Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China. Compr. Psychiatry 2020, 103, 152198. [Google Scholar]
  39. Hu, D.; Kong, Y.; Li, W.; Han, Q.; Zhang, X.; Zhu, L.X.; Wan, S.W.; Liu, Z.; Shen, Q.; Yang, J. Frontline nurses’ burnout, anxiety, depression, and fear statuses and their associated factors during the COVID-19 outbreak in Wuhan, China: A large-scale cross-sectional study. EClinicalMedicine 2020, 24, 100424. [Google Scholar] [CrossRef]
  40. Hong, S.; Ai, M.; Xu, X.; Wang, W.; Chen, J.; Zhang, Q.; Wang, L.; Kuang, L. Immediate psychological impact on nurses working at 42 government-designated hospitals during COVID-19 outbreak in China: A cross-sectional study. Nurs. Outlook 2021, 69, 6–12. [Google Scholar] [CrossRef] [PubMed]
  41. Elbay, R.Y.; Kurtulmuş, A.; Arpacıoğlu, S.; Karadere, E. Depression, anxiety, stress levels of physicians and associated factors in Covid-19 pandemics. Psychiatry Res. 2020, 290, 113130. [Google Scholar] [CrossRef] [PubMed]
  42. Du, J.; Dong, L.; Wang, T.; Yuan, C.; Fu, R.; Zhang, L.; Liu, B.; Zhang, M.; Yin, Y.; Qin, J. Psychological symptoms among frontline healthcare workers during COVID-19 outbreak in Wuhan. Gen. Hosp. Psychiatry 2020, 67, 144. [Google Scholar] [CrossRef] [PubMed]
  43. Di Tella, M.; Romeo, A.; Benfante, A.; Castelli, L. Mental health of healthcare workers during the COVID-19 pandemic in Italy. J. Eval. Clin. Pract. 2020, 26, 1583–1587. [Google Scholar] [CrossRef] [PubMed]
  44. Chew, N.W.; Lee, G.K.; Tan, B.Y.; Jing, M.; Goh, Y.; Ngiam, N.J.; Yeo, L.L.; Ahmad, A.; Khan, F.A.; Shanmugam, G.N. A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during COVID-19 outbreak. Brain Behav. Immun. 2020, 88, 559–565. [Google Scholar] [CrossRef]
  45. Cai, Q.; Feng, H.; Huang, J.; Wang, M.; Wang, Q.; Lu, X.; Xie, Y.; Wang, X.; Liu, Z.; Hou, B. The mental health of frontline and non-frontline medical workers during the coronavirus disease 2019 (COVID-19) outbreak in China: A case-control study. J. Affect. Disord. 2020, 275, 210–215. [Google Scholar] [CrossRef] [PubMed]
  46. An, Y.; Yang, Y.; Wang, A.; Li, Y.; Zhang, Q.; Cheung, T.; Ungvari, G.S.; Qin, M.Z.; An, F.R.; Xiang, Y.T. Prevalence of depression and its impact on quality of life among frontline nurses in emergency departments during the COVID-19 outbreak. J. Affect. Disord. 2020, 276, 312–315. [Google Scholar] [CrossRef] [PubMed]
  47. Siyu, C.; Xia, M.; Wen, W.; Cui, L.; Yang, W.; Liu, S. Mental health status and coping strategy of medical workers in China during The COVID-19 outbreak. In medRxiv; Cold Spring Harbor Laboratory Press: Cold Spring Harbor, NY, USA, 2020. [Google Scholar]
  48. Schwartz, J.; King, C.C.; Yen, M.Y. Protecting Healthcare Workers During the Coronavirus Disease 2019 (COVID-19) Outbreak: Lessons From Taiwan’s Severe Acute Respiratory Syndrome Response. Arch. Clin. Infect. Dis. 2020, 71, 858–860. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Lawrence, T.; Zubatsky, M.; Meyer, D. The association between mental health diagnoses and influenza vaccine receipt among older primary care patients. Psychol. Health Med. 2020, 25, 1083–1093. [Google Scholar] [CrossRef]
  50. Minkovitz, C.S.; Strobino, D.; Scharfstein, D.; Hou, W.; Miller, T.; Mistry, K.B.; Swartz, K. Maternal depressive symptoms and children’s receipt of health care in the first 3 years of life. Pediatrics 2005, 115, 306–314. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Farr, S.L.; Dietz, P.M.; Rizzo, J.H.; Vesco, K.K.; Callaghan, W.M.; Bruce, F.C.; Bulkley, J.E.; Hornbrook, M.C.; Berg, C.J. Health care utilisation in the first year of life among infants of mothers with perinatal depression or anxiety. Paediatr. Perinat. Epidemiol. 2013, 27, 81–88. [Google Scholar] [CrossRef] [Green Version]
  52. Hsieh, K.-Y.; Kao, W.-T.; Chou, F.H.-C.; Hsu, S.T.; Li, D.J.; Chou, L.S.C.; Lin, G.G.; Chen, W.J.; Huang, J.J. Predictors for probable posttraumatic stress disorder among outpatients with psychiatric disorders and their caregivers during the COVID-19 pandemic: A cross-sectional study in Taiwan. Taiwan J. Psychiatry 2021, 35, 32–39. [Google Scholar]
  53. Li, D.-J.; Chou, L.-S.; Chou, F.H.-C.; Hsu, S.-T.; Hsieh, K.-Y.; Wu, H.-C.; Kao, W.T.; Lin, G.G.; Chen, W.J.; Huang, J.J. COVID-related psychological distress fully mediates the association from social impact to sleep disturbance among patients with chronic schizophrenia. Sci. Rep. 2021, 11, 16524. [Google Scholar] [CrossRef] [PubMed]
  54. Li, D.-J.; Hsu, S.-T.; Chou, F.H.-C.; Chou, L.-S.; Hsieh, K.-Y.; Kao, W.-T.; Lin, G.G.; Chen, W.J.; Liao, C.H.; Huang, J.J. Predictors for Depression, Sleep Disturbance, and Subjective Pain among Inpatients with Depressive Disorders during the COVID-19 Pandemic: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2021, 18, 6523. [Google Scholar] [CrossRef] [PubMed]
  55. Chou, F.H.; Su, T.T.; Ou-Yang, W.C.; Chien, I.C.; Lu, M.K.; Chou, P. Establishment of a disaster-related psychological screening test. Aust. New Zealand J. Psychiatry 2003, 37, 97–103. [Google Scholar] [CrossRef] [PubMed]
  56. Chen, Y.-S.; Chen, M.-C.; Chou, F.H.-C.; Sun, F.-C.; Chen, P.-C.; Tsai, K.-Y.; Chao, S.S. The relationship between quality of life and posttraumatic stress disorder or major depression for firefighters in Kaohsiung, Taiwan. Qual. Life Res. 2007, 16, 1289–1297. [Google Scholar] [CrossRef] [PubMed]
  57. Taber, K.S. The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res. Sci. Educ. 2018, 48, 1273–1296. [Google Scholar] [CrossRef]
  58. Li, D.-J.; Kao, W.-T.; Shieh, V.; Chou, F.H.-C.; Lo, H.-W.A. Development and Implementation of Societal Influences Survey Questionnaire (SISQ) for Peoples during COVID-19 Pandemic: A Validity and Reliability Analysis. Int. J. Environ. Res. Public Health 2020, 17, 6246. [Google Scholar] [CrossRef] [PubMed]
  59. Martin, L.R.; Petrie, K.J. Understanding the dimensions of anti-vaccination attitudes: The vaccination attitudes examination (VAX) scale. Ann. Behav. Med. 2017, 51, 652–660. [Google Scholar] [CrossRef]
  60. Jöreskog, K.G.; Sörbom, D. LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language; Scientific Software International: Chapel Hill, NC, USA, 1993. [Google Scholar]
  61. Hu, L.-t.; Bentler, P.M. Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychol. Methods 1998, 3, 424. [Google Scholar] [CrossRef]
  62. Tversky, A.; Kahneman, D. Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science 1974, 185, 1124–1131. [Google Scholar] [CrossRef]
  63. Loewenstein, G.F.; Weber, E.U.; Hsee, C.K.; Welch, N. Risk as feelings. Psychol. Bull. 2001, 127, 267. [Google Scholar] [CrossRef]
  64. Tversky, A.; Kahneman, D. Availability: A heuristic for judging frequency and probability. Psychol. Bull. 1973, 5, 207–232. [Google Scholar] [CrossRef]
  65. De Bruin, W.B.; Bennett, D. Relationships between initial COVID-19 risk perceptions and protective health behaviors: A national survey. Am. J. Prev. Med. 2020, 59, 157–167. [Google Scholar] [CrossRef]
  66. Zhong, Y.; Liu, W.; Lee, T.-Y.; Zhao, H.; Ji, J. Risk perception, knowledge, information sources and emotional states among COVID-19 patients in Wuhan, China. Nurs. Outlook 2021, 69, 13–21. [Google Scholar] [CrossRef] [PubMed]
  67. Sheeran, P.; Harris, P.R.; Epton, T. Does heightening risk appraisals change people’s intentions and behavior? A meta-analysis of experimental studies. Psychol. Bull. 2014, 140, 511. [Google Scholar] [CrossRef] [PubMed]
  68. Miton, H.; Mercier, H. Cognitive obstacles to pro-vaccination beliefs. Trends Cogn. Sci. 2015, 19, 633–636. [Google Scholar] [CrossRef] [PubMed]
  69. Fridman, A.; Gershon, R.; Gneezy, A. COVID-19 and vaccine hesitancy: A longitudinal study. PLoS ONE 2021, 16, e0250123. [Google Scholar] [CrossRef]
  70. Wise, T.; Zbozinek, T.D.; Michelini, G.; Hagan, C.C.; Mobbs, D. Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. R. Soc. Open Sci. 2020, 7, 200742. [Google Scholar] [CrossRef] [PubMed]
  71. Lin, Y.-J.; Yen, C.-F.; Chang, Y.-P.; Wang, P.-W. Comparisons of Motivation to Receive COVID-19 Vaccination and Related Factors between Frontline Physicians and Nurses and the Public in Taiwan: Applying the Extended Protection Motivation Theory. Vaccines 2021, 9, 528. [Google Scholar] [CrossRef]
  72. Chou, W.-P.; Wang, P.-W.; Chen, S.-L.; Chang, Y.-P.; Wu, C.-F.; Lu, W.-H.; Yen, C.F. Risk Perception, Protective Behaviors, and General Anxiety during the Coronavirus Disease 2019 Pandemic among Affiliated Health Care Professionals in Taiwan: Comparisons with Frontline Health Care Professionals and the General Public. Int. J. Environ. Res. Public Health 2020, 17, 9329. [Google Scholar] [CrossRef]
  73. Lu, L.; Xiong, W.; Mu, J.; Zhang, Q.; Zhang, H.; Zou, L.; Li, W.; He, L.; Sander, J.W.; Zhou, D. The potential neurological effect of the COVID-19 vaccines: A review. Acta Neurol. Scand. 2021, 144, 3–12. [Google Scholar] [CrossRef]
  74. Li, Y.-D.; Chi, W.-Y.; Su, J.-H.; Ferrall, L.; Hung, C.-F.; Wu, T.-C. Coronavirus vaccine development: From SARS and MERS to COVID-19. J. Biomed. Sci. 2020, 27, 104. [Google Scholar] [CrossRef] [PubMed]
  75. Tam, C.W.; Pang, E.P.; Lam, L.C.; Chiu, H.F. Severe acute respiratory syndrome (SARS) in Hong Kong in 2003: Stress and psychological impact among frontline healthcare workers. Psychol. Med. 2004, 34, 1197–1204. [Google Scholar] [CrossRef] [PubMed]
  76. Maunder, R.G.; Lancee, W.J.; Rourke, S.; Hunter, J.J.; Goldbloom, D.; Balderson, K.; Petryshen, P.; Steinberg, R.; Wasylenki, D.; Koh, D. Factors associated with the psychological impact of severe acute respiratory syndrome on nurses and other hospital workers in Toronto. Psychosom. Med. 2004, 66, 938–942. [Google Scholar] [CrossRef]
  77. Lancee, W.J.; Maunder, R.G.; Goldbloom, D.S. Prevalence of psychiatric disorders among Toronto hospital workers one to two years after the SARS outbreak. Psychiatr. Serv. 2008, 59, 91–95. [Google Scholar] [CrossRef]
  78. Xiang, Y.-T.; Yang, Y.; Li, W.; Zhang, L.; Zhang, Q.; Cheung, T.; Ng, C.H. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry 2020, 7, 228–229. [Google Scholar] [CrossRef] [Green Version]
  79. Li, G.; Miao, J.; Wang, H.; Xu, S.; Sun, W.; Fan, Y.; Zhang, C.; Zhu, S.; Zhu, Z.; Wang, W. Psychological impact on women health workers involved in COVID-19 outbreak in Wuhan: A cross-sectional study. J. Neurol. Neurosurg. Psychiatry 2020, 91, 895–897. [Google Scholar] [CrossRef]
  80. Li, Z.; Ge, J.; Yang, M.; Feng, J.; Qiao, M.; Jiang, R.; Bi, J.; Zhan, G.; Xu, X.; Wang, L. Vicarious traumatization in the general public, members, and non-members of medical teams aiding in COVID-19 control. Brain Behav. Immun. 2020, 88, 916–919. [Google Scholar] [CrossRef]
  81. Liu, C.H.; Zhang, E.; Wong, G.T.F.; Hyun, S. Factors associated with depression, anxiety, and PTSD symptomatology during the COVID-19 pandemic: Clinical implications for US young adult mental health. Psychiatry Res. 2020, 290, 113172. [Google Scholar] [CrossRef]
  82. Wong, T.W.; Yau, J.K.; Chan, C.L.; Kwong, R.S.; Ho, S.M.; Lau, C.C.; Lau, F.L.; Lit, C.H. The psychological impact of severe acute respiratory syndrome outbreak on healthcare workers in emergency departments and how they cope. Eur. J. Emerg. Med. 2005, 12, 13–18. [Google Scholar] [CrossRef]
  83. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5), 5th ed.; American Psychiatric Publishing: Arlington, VA, USA, 2013. [Google Scholar]
  84. Gobin, R.L.; Freyd, J.J. The impact of betrayal trauma on the tendency to trust. Psychol. Trauma Theory Res. Pract. Policy 2014, 6, 505. [Google Scholar] [CrossRef] [Green Version]
  85. Janoff-Bulman, R. Assumptive worlds and the stress of traumatic events: Applications of the schema construct. Soc. Cogn. 1989, 7, 113–136. [Google Scholar] [CrossRef]
  86. Park, C.L.; Mills, M.A.; Edmondson, D. PTSD as meaning violation: Testing a cognitive worldview perspective. Psychol. Trauma Theory Res. Pract. Policy 2012, 4, 66. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Klest, B.; Tamaian, A.; Boughner, E. A model exploring the relationship between betrayal trauma and health: The roles of mental health, attachment, trust in healthcare systems, and nonadherence to treatment. Psychol. Trauma Theory Res. Pract. Policy 2019, 11, 656. [Google Scholar] [CrossRef]
  88. Nilsen, L.G.; Thoresen, S.; Wentzel-Larsen, T.; Dyb, G. Trust after terror: Institutional trust among young terror survivors and their parents after the 22nd of July terrorist attack on Utøya Island, Norway. Front. Psychol. 2019, 10, 2819. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Edmondson, D.; Horowitz, C.R.; Goldfinger, J.Z.; Fei, K.; Kronish, I.M. Concerns about medications mediate the association of posttraumatic stress disorder with adherence to medication in stroke survivors. Br. J. Health Psychol. 2013, 18, 799–813. [Google Scholar] [CrossRef] [Green Version]
  90. Hoge, C.W. Interventions for war-related posttraumatic stress disorder: Meeting veterans where they are. JAMA 2011, 306, 549–551. [Google Scholar] [CrossRef] [PubMed]
  91. Shore, D.A. The Trust Crisis in Healthcare: Causes, Consequences, and Cures; Oxford University Press: New York, NY, USA, 2007. [Google Scholar]
  92. Chan, S.S.; Leung, G.M.; Tiwari, A.F.; Salili, F.; Leung, S.S.; Wong, D.C.; Wong, A.S.; Lai, A.S.; Lam, T.H. The impact of work-related risk on nurses during the SARS outbreak in Hong Kong. Fam. Community Health 2005, 28, 274–287. [Google Scholar] [CrossRef] [PubMed]
  93. Chan, A.O.; Huak, C.Y. Psychological impact of the 2003 severe acute respiratory syndrome outbreak on health care workers in a medium size regional general hospital in Singapore. Occup. Med. 2004, 54, 190–196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Lu, W.; Wang, H.; Lin, Y.; Li, L. Psychological status of medical workforce during the COVID-19 pandemic: A cross-sectional study. Psychiatry Res. 2020, 288, 112936. [Google Scholar] [CrossRef]
  95. Li, X.; Yu, H.; Bian, G.; Hu, Z.; Liu, X.; Zhou, Q.; Yu, C.; Wu, X.; Yuan, T.F.; Zhou, D. Prevalence, risk factors, and clinical correlates of insomnia in volunteer and at home medical staff during the COVID-19. Brain Behav. Immun. 2020, 87, 140. [Google Scholar] [CrossRef]
  96. Ji, D.; Ji, Y.-J.; Duan, X.-Z.; Li, W.-G.; Sun, Z.-Q.; Song, X.-A.; Meng, Y.H.; Tang, H.M.; Chu, F.; Niu, X.X. Prevalence of psychological symptoms among Ebola survivors and healthcare workers during the 2014-2015 Ebola outbreak in Sierra Leone: A cross-sectional study. Oncotarget 2017, 8, 12784. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Xiao, H.; Zhang, Y.; Kong, D.; Li, S.; Yang, N. The effects of social support on sleep quality of medical staff treating patients with coronavirus disease 2019 (COVID-19) in January and February 2020 in China. Med. Sci. Monit. 2020, 26, e923549-1. [Google Scholar] [CrossRef] [PubMed]
  98. Shih, F.-J.; Gau, M.-L.; Kao, C.-C.; Yang, C.-Y.; Lin, Y.-S.; Liao, Y.-C.; Sheu, S.J. Dying and caring on the edge: Taiwan’s surviving nurses’ reflections on taking care of patients with severe acute respiratory syndrome. Appl. Nurs. Res. 2007, 20, 171–180. [Google Scholar] [CrossRef]
  99. Chua, S.E.; Cheung, V.; Cheung, C.; McAlonan, G.M.; Wong, J.W.; Cheung, E.P.; Chan, M.T.; Wong, M.M.; Tang, S.W.; Choy, K.M. Psychological effects of the SARS outbreak in Hong Kong on high-risk health care workers. Can. J. Psychiatry 2004, 49, 391–393. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  100. Chou, W.-Y.S.; Budenz, A. Considering emotion in COVID-19 vaccine communication: Addressing vaccine hesitancy and fostering vaccine confidence. Health Commun. 2020, 35, 1718–1722. [Google Scholar] [CrossRef]
  101. González-Sanguino, C.; Ausín, B.; Castellanos, M.Á.; Saiz, J.; López-Gómez, A.; Ugidos, C.; Munoz, M. Mental health consequences during the initial stage of the 2020 Coronavirus pandemic (COVID-19) in Spain. Brain Behav. Immun. 2020, 87, 172–176. [Google Scholar] [CrossRef]
  102. Liu, N.; Zhang, F.; Wei, C.; Jia, Y.; Shang, Z.; Sun, L.; Wu, L.; Sun, Z.; Zhou, Y.; Wang, Y.; et al. Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter. Psychiatry Res. 2020, 287, 112921. [Google Scholar] [CrossRef] [PubMed]
  103. Romero, C.S.; Delgado, C.; Catalá, J.; Ferrer, C.; Errando, C.; Iftimi, A.; Benito, A.; De Andres, J.; Otero, M. COVID-19 psychological impact in 3109 healthcare workers in Spain: The PSIMCOV group. Psychol. Med. 2022, 52, 188–194. [Google Scholar] [CrossRef] [PubMed]
  104. Veldman, K.; Bultmann, U.; Stewart, R.E.; Ormel, J.; Verhulst, F.C.; Reijneveld, S.A. Mental health problems and educational attainment in adolescence: 9-year follow-up of the TRAILS study. PLoS ONE 2014, 9, e101751. [Google Scholar] [CrossRef] [Green Version]
  105. Goel, N.; Workman, J.L.; Lee, T.T.; Innala, L.; Viau, V. Sex differences in the HPA axis. Compr. Physiol. 2014, 4, 1121–1155. [Google Scholar]
  106. Eid, R.S.; Gobinath, A.R.; Galea, L.A.M. Sex differences in depression: Insights from clinical and preclinical studies. Prog. Neurobiol. 2019, 176, 86–102. [Google Scholar] [CrossRef] [PubMed]
  107. Mazza, C.; Ricci, E.; Biondi, S.; Colasanti, M.; Ferracuti, S.; Napoli, C.; Roma, P. A nationwide survey of psychological distress among italian people during the COVID-19 pandemic: Immediate psychological responses and associated factors. Int. J. Environ. Res. Public Health 2020, 17, 3165. [Google Scholar] [CrossRef] [PubMed]
  108. Özdin, S.; Bayrak Özdin, Ş. Levels and predictors of anxiety, depression and health anxiety during COVID-19 pandemic in Turkish society: The importance of gender. Int. J. Soc. Psychiatry 2020, 66, 504–511. [Google Scholar] [CrossRef] [PubMed]
  109. Guo, W.; Li, M.; Dong, Y.; Zhou, H.; Zhang, Z.; Tian, C.; Qin, R.; Wang, H.; Shen, Y.; Du, K. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab. Res. Rev. 2020, 36, e3319. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Emami, A.; Javanmardi, F.; Pirbonyeh, N.; Akbari, A. Prevalence of underlying diseases in hospitalized patients with COVID-19: A systematic review and meta-analysis. Arch. Emerg. Med. 2020, 8, e35. [Google Scholar]
  111. Xiong, J.; Lipsitz, O.; Nasri, F.; Lui, L.M.W.; Gill, H.; Phan, L.; Chen-Li, D.; Lacobucci, M.; Ho, R.; Majeed, A.; et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J. Affect. Disord. 2020, 277, 55–64. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Hypothesized model of the associations among societal adaptation, PTSD and vaccine worries. PTSD, posttraumatic stress disorder.
Figure 1. Hypothesized model of the associations among societal adaptation, PTSD and vaccine worries. PTSD, posttraumatic stress disorder.
Ijerph 19 09498 g001
Figure 2. The conceptual model showing interrelationships between societal adaptation, PTSD and vaccine worries. *: p < 0.05; ***: p < 0.001. PTSD, post-traumatic stress disorder.
Figure 2. The conceptual model showing interrelationships between societal adaptation, PTSD and vaccine worries. *: p < 0.05; ***: p < 0.001. PTSD, post-traumatic stress disorder.
Ijerph 19 09498 g002
Table 1. The demographic data and questionnaire′s among participant (N = 435).
Table 1. The demographic data and questionnaire′s among participant (N = 435).
Participants (N = 435)
n (%)
Female327 (75.2)
Age (years), mean ± SD38.3 ± 10.6
Education (years), mean ± SD16.5 ± 2.8
With spouse197 (45.3)
Doctors40 (9.2)
Nurses250 (57.5)
Personal Care Attendant54 (12.4)
Others91 (20.9)
DRPST PTSD severity, mean ± SD1.7 ± 2.1
DRPST PTSD frequency, mean ± SD4.6 ± 4.4
Social adaptation, mean ± SD13.2 ± 2.7
Vaccine worries, mean ± SD12.3 ± 2.5
SD, standard deviation. DRPST, disaster-related psychological screening test. PTSD, post-traumatic stress disorder.
Table 2. The correlation matrix of measured variables.
Table 2. The correlation matrix of measured variables.
1234
1. PTSD severity10.83 ***0.21 ***0.16 **
2. PTSD frequency 10.26 ***0.15 **
3. Social adaptation 10.15 **
4. Vaccine worries 1
** p < 0.01, *** p < 0.001; SD, standard deviation; PTSD, post-traumatic stress disorder.
Table 3. The Goodness-of-Fit index of structural equation modeling for the hypothesized model.
Table 3. The Goodness-of-Fit index of structural equation modeling for the hypothesized model.
TypeGoodness of Fit IndexThe Full Model
Absolute fit indicesχ21.533
df1
RMSEA0.035 (p < 0.05)
GFI0.998 (p > 0.09)
Relative fit indicesNFI0.997 (p > 0.09)
IFI0.999 (p > 0.09)
CFI0.999 (p > 0.09)
SRMR0.009 (p < 0.05)
χ2: chi-square; RMSEA: Root Mean Square Error of Approximation; GFI: Goodness-of-Fit Index; NFI: Non-normed-Fit; Index; IFI: Incremental Fit Index; CFI: Comparative Fit Index; SRMR: Standardized Root Mean Square Residual. df: degree of freedom.
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Hsieh, K.-Y.; Li, D.-J.; Chou, F.H.-C.; Hsu, S.-T.; Wu, H.-C.; Chou, L.-S.; Wu, P.-J.; Lin, G.-G.; Chen, W.-J.; Liu, C.-L.; et al. Relationship of Societal Adaptation with Vaccine Worries among Healthcare Workers during the COVID-19 Pandemic: The Mediating Effects of Posttraumatic Stress Disorder. Int. J. Environ. Res. Public Health 2022, 19, 9498. https://doi.org/10.3390/ijerph19159498

AMA Style

Hsieh K-Y, Li D-J, Chou FH-C, Hsu S-T, Wu H-C, Chou L-S, Wu P-J, Lin G-G, Chen W-J, Liu C-L, et al. Relationship of Societal Adaptation with Vaccine Worries among Healthcare Workers during the COVID-19 Pandemic: The Mediating Effects of Posttraumatic Stress Disorder. International Journal of Environmental Research and Public Health. 2022; 19(15):9498. https://doi.org/10.3390/ijerph19159498

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Hsieh, Kuan-Ying, Dian-Jeng Li, Frank Huang-Chih Chou, Su-Ting Hsu, Hui-Ching Wu, Li-Shiu Chou, Pei-Jhen Wu, Guei-Ging Lin, Wei-Jen Chen, Chin-Lien Liu, and et al. 2022. "Relationship of Societal Adaptation with Vaccine Worries among Healthcare Workers during the COVID-19 Pandemic: The Mediating Effects of Posttraumatic Stress Disorder" International Journal of Environmental Research and Public Health 19, no. 15: 9498. https://doi.org/10.3390/ijerph19159498

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