Literature DB >> 36176263

COVID-19-related discrimination, PTSD symptoms, and psychological distress in healthcare workers.

Zui Narita1, Ryo Okubo2, Yohei Sasaki2, Kazuyoshi Takeda2, Masaki Takao3, Hirofumi Komaki2, Hideki Oi2, Tetsuya Mizoue4, Takeshi Miyama2, Yoshiharu Kim1.   

Abstract

To date, little effort has been made to examine if frontline workers who deal with COVID-19 patients are more likely to experience discrimination than second-line workers. Also, little information has appeared on how COVID-19-related discrimination affects PTSD symptoms in healthcare workers. We aimed to examine the association between COVID-19-related discrimination and frontline worker status. We further aimed to examine how COVID-19-related discrimination was associated with PTSD symptoms and psychological distress. We studied 647 healthcare workers. For the association between COVID-19-related discrimination and frontline worker status, we conducted multivariable logistic regression adjusting for age, sex and living alone. For the association of COVID-19-related discrimination with PTSD symptoms and psychological distress, we performed multivariable regression using hierarchical adjustments for age, sex, living alone, alcohol consumption, exercise and frontline worker status. Bias-corrected and accelerated bootstrap confidence intervals (CIs) were used. A total of 136 individuals worked on the frontline and the largest group were nurses (n = 81, 59.6%). Frontline workers had increased odds of COVID-19-related discrimination compared with second-line workers (odds ratio = 2.60, 95% CI = 1.37-4.96). COVID-19-related discrimination was associated with PTSD symptoms and psychological distress even at the highest level of adjustment (β = 0.67, 95% CI = 0.10-1.23; β = 2.43, 95% CI = 0.91-3.95, respectively). Frontline workers are more likely to experience COVID-19-related discrimination than second-line workers. Such discrimination may result in PTSD symptoms and psychological distress. Interventions to prevent COVID-19-related discrimination against healthcare workers, for example anti-discrimination campaigns, are important.
© 2022 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  COVID-19; PTSD; discrimination; nurses; psychological distress

Year:  2022        PMID: 36176263      PMCID: PMC9538840          DOI: 10.1111/inm.13069

Source DB:  PubMed          Journal:  Int J Ment Health Nurs        ISSN: 1445-8330            Impact factor:   5.100


INTRODUCTION

COVID‐19 has become a global health threat since its emergence. Healthcare workers experience a substantial burden of COVID‐19 (Mehta et al. 2021–3) and have higher odds of mental health problems including depression and anxiety than non‐healthcare workers (Sasaki et al. 2021). A meta‐analysis showed that healthcare workers were more severely affected by depression, anxiety, distress, insomnia, and indirect traumatization than other occupational groups (da Silva & Neto 2021). Above all, frontline workers dealing with COVID‐19 patients may experience a devastating workload, drug shortage, lack of personal protection equipment, and self‐isolation. Such individuals, mainly nurses, are more likely to experience unfavourable mental health outcomes than second‐line workers (Lai et al. 2020). Discrimination is a type of stigma that specifically refers to a problem of behaviour, whereas stigma as a whole is a broader concept that refers to a mark or sign of disgrace eliciting negative attitudes towards its bearer (Link & Phelan 2001; Thornicroft et al. 2007). Review articles suggested that COVID‐19‐related discrimination poses a serious threat to healthcare workers (Bagcchi 2020; Singh & Subedi 2020). Indeed, one study showed that healthcare workers were more likely to experience COVID‐19‐related bullying (Dye et al. 2020). Another study showed that over a third of non‐healthcare workers avoided healthcare workers for fear of infection (Taylor et al. 2020). Of note, however, little effort has been made to examine if frontline workers who deal with COVID‐19 patients are more likely to experience such discrimination than second‐line workers. Discrimination is linked to poorer mental health, for example PTSD symptoms. One study showed that discrimination based on, for example gender identity, was associated with PTSD symptoms (Reisner et al. 2016). Another study showed that racial discrimination was associated with PTSD symptoms (Bird et al. 2021). Findings were similar in a report evaluating the association between COVID‐19‐related anti‐Asian discrimination and PTSD symptoms (Hahm et al. 2021). In healthcare workers, COVID‐19‐related discrimination was associated with poorer mental health (Labrague et al. 2021) including depression and anxiety (Campo‐Arias et al. 2021; Correia da Silva et al. 2022; Monterrosa‐Castro et al. 2020; Moro et al. 2022). Note that here we refer specifically to discrimination rather than to stigma as a whole or to other types of stigma, for example ignorance and prejudice (Thornicroft et al. 2007). To date, however, little information has appeared on how COVID‐19‐related discrimination affects PTSD symptoms in healthcare workers. In the present study, we studied 647 workers at a healthcare institution to address two research questions. First, we studied if frontline workers had increased odds of COVID‐19‐related discrimination compared with second‐line workers. Next, we evaluated how COVID‐19‐related discrimination affected PTSD symptoms and psychological distress in healthcare workers. We hypothesized that frontline workers are more likely to have COVID‐19‐related discrimination than second‐line workers and that such discrimination would lead to PTSD symptoms and psychological distress.

METHODS

Participants

This cross‐sectional study used a survey to obtain data from workers in the National Center of Neurology and Psychiatry (NCNP). From 24 to 26 February 2021, all of the 1437 workers in the NCNP were invited to complete questionnaires. The NCNP Institutional Review Board approved the present study (A2020‐121). All participants provided written informed consent. Of the 657 participants who completed the survey, 10 were excluded due to inappropriate responses. Thus, we analysed data from 647 participants.

Frontline worker status

Participants were asked the following question with a yes/no answer option: ‘Have you ever engaged in COVID‐19‐related work?’. Participants were also asked to select a single occupation they spent the most time on from the following answer options: (1) administrators, (2) physicians, (3) nurses, (4) medical staff other than office workers, (5) medical office workers, (6) other office workers, (7) information technology officers, (8) researchers, (9) janitors or security officers, and (10) other jobs. Those who selected ‘yes’ in the first question and either of (2), (3), or (4) in the second question were regarded as frontline workers. Other individuals were regarded as second‐line workers.

COVID‐19‐related discrimination

Participants were asked the following questions with a yes/no answer option: (1) ‘Have you or your family ever experienced verbal discrimination related to COVID‐19?’, (2) ‘Have you ever perceived discrimination related to COVID‐19?’. Endorsing either of these experiences constituted COVID‐19‐related discrimination. We developed these items specifically for this survey based on a past report (Do Duy et al. 2020).

PTSD symptoms

To evaluate PTSD symptoms, we used the three‐item Posttraumatic Diagnostic Scale (PDS) (Itoh et al. 2017), a validated scale derived from the original PDS (Foa et al. 1997). The three‐item PDS evaluated the symptom severity over the past month corresponding to B1 (intrusive images), B2 (nightmares), and B5 (physical reactions when reminded of the trauma) of the DSM‐IV criteria (American Psychiatric Association 1994). Each item was self‐reported on four‐point response options ranging from 0 (not at all or only one time) to 3 (five or more times a week/almost always), with possible total scores ranging from 0 to 9. Our data showed good internal consistency (Cronbach's α = 0.79). A greater score suggests worse PTSD symptoms.

Psychological distress

We used the Japanese version of the Six‐item Kessler Psychological Distress Scale (K6) (Furukawa et al. 2008) to assess psychological distress. Each item was self‐reported on five‐point response options ranging from 0 (no distress) to 4 (maximum stress), with possible total scores ranging from 0 to 24. Our data showed good internal consistency (Cronbach's α = 0.89). A greater score suggests greater psychological distress.

Sociodemographic factors

We studied sociodemographic characteristics that may confound the association between COVID‐19‐related discrimination and frontline worker status or the association between mental health outcomes and COVID‐19‐related discrimination. We used the following variables: age, sex (male or female), living alone (yes or no), alcohol consumption (

Statistical analysis

Statistical analyses were performed by using Stata 15 (Stata Corp LP, College Station, TX, USA). First, we used multivariable logistic regression to examine the association between COVID‐19‐related discrimination and frontline worker status, adjusting for age, sex, and living alone. Note that a limited number of events (n = 48) enables us to only adjust for age, sex, and living alone in the logistic model (Peduzzi et al. 1996). Next, we conducted multivariable regression to examine the association of COVID‐19‐related discrimination with PTSD symptoms and psychological distress. For the latter association, we fitted three regression models using hierarchical adjustments. Model 1 evaluated the unadjusted association. Model 2 adjusted for age, sex, living alone, alcohol consumption, and exercise. Model 3 adjusted for all variables in Model 2 and frontline worker status. We used bias‐corrected and accelerated bootstrap confidence intervals (CIs) to obtain accurate information (Cumming 2014; Felsenstein 1985; Lumley et al. 2002). The size of the bootstrap sample was set at 1000 with 95% CIs (Carpenter & Bithell 2000).

RESULTS

Demographics of the study population

Table 1 shows the demographics of the study population. A total of 136 individuals worked on the frontline and the largest group were nurses (n = 81, 59.6%). Details of occupations are shown in Table S1. A total of 136 individuals (21.0%) were frontline workers. Overall, 48 workers (7.4%) experienced COVID‐19‐related discrimination. Compared to second‐line workers, frontline workers were more likely to experience COVID‐19‐related discrimination, be younger, be male, live alone, and exercise 1 h/week or more. They were less likely to drink alcohol once a week or more and had higher scores in the three‐item PDS and the K6.
Table 1

Demographics of the study population

Overall (n = 647)Frontline workers (n = 136)Second‐line workers (n = 511)
COVID‐19‐related discrimination, no. (%)
No599 (92.6)117 (86.0)482 (94.3)
Yes48 (7.4)19 (14.0)29 (5.7)
Age, mean (SD), y42.7 ± 10.940.3 ± 10.643.3 ± 11.0
Sex, no. (%)
Male208 (32.2)55 (40.4)153 (29.9)
Female439 (67.9)81 (59.6)358 (70.1)
Living alone, no. (%)
No489 (75.8)98 (72.1)391 (76.8)
Yes156 (24.2)38 (27.9)118 (23.2)
Alcohol consumption, no. (%)
Less than once a week368 (57.0)82 (60.3)286 (56.1)
Once a week or more278 (43.0)54 (39.7)224 (43.9)
Exercise, no. (%)
Less than 1 h/week418 (64.6)81 (59.6)337 (66.0)
1 h/week or more229 (35.4)55 (40.4)174 (34.1)
Three‐item PDS scores0.85 ± 1.541.02 ± 1.650.81 ± 1.51
K6 scores4.71 ± 4.604.79 ± 5.194.69 ± 4.44

Data are Mean ± SD or n (%).

Demographics of the study population Data are Mean ± SD or n (%).

Odds of COVID‐19‐related discrimination in frontline workers compared with second‐line workers

Table 2 summarizes the odds ratio (OR) of COVID‐19‐related discrimination in frontline workers compared with second‐line workers. The OR was slightly attenuated with the inclusion of covariates in the model, but remained statistically significant in both unadjusted and adjusted associations (OR = 2.70, 95% CI = 1.46–4.99; OR = 2.60, 95% CI = 1.37–4.96, respectively).
Table 2

Odds of COVID‐19‐related discrimination in frontline workers compared with second‐line workers

COVID‐19‐related discrimination
Unadjusted OR (95% CI)Adjusted OR (95% CI)
Frontline worker status
Second‐line workerReferenceReference
Frontline worker 2.70** (1.46, 4.99) 2.60** (1.37, 4.96)
AgeNA0.98 (0.95, 1.01)
Sex
MaleNAReference
FemaleNA1.43 (0.69, 2.95)
Living alone
NoNAReference
YesNA1.25 (0.60, 2.59)

CI, confidence interval; NA, not applicable; OR, odds ratio.

**P < 0.01.

Bold values suggest significantly increased odds.

Odds of COVID‐19‐related discrimination in frontline workers compared with second‐line workers CI, confidence interval; NA, not applicable; OR, odds ratio. **P < 0.01. Bold values suggest significantly increased odds.

Association between mental health outcomes and COVID‐19‐related discrimination

Table 3 summarizes associations between three‐item PDS scores and COVID‐19‐related discrimination by multivariable regression using hierarchical adjustments. The coefficient was slightly attenuated with the inclusion of covariates in the models, but remained statistically significant in all of them (Model 1: β = 0.72, 95% CI = 0.21–1.23; Model 2: β = 0.69, 95% CI = 0.15–1.24; Model 3: β = 0.67, 95% CI = 0.10–1.23), suggesting that individuals experiencing such discrimination had worse PTSD symptoms. Interestingly, adding frontline worker status in the model did not substantially change the coefficient.
Table 3

Association between three‐item PDS scores and COVID‐19‐related discrimination

Model 1Model 2Model 3
β (95% CI) β (95% CI) β (95% CI)
COVID‐19‐related discrimination
NoReferenceReferenceReference
Yes 0.72** (0.21, 1.23) 0.69* (0.15, 1.24) 0.67* (0.10, 1.23)
Age−0.01 (−0.02, 0.001)−0.01 (−0.02, 0.002)
Sex
MaleNAReferenceReference
FemaleNA0.13 (−0.13, 0.38)0.13 (−0.13, 0.40)
Living alone
NoNAReferenceReference
YesNA0.18 (−0.13, 0.48)0.17 (−0.13, 0.48)
Alcohol consumption
Less than once a weekNAReferenceReference
Once a week or moreNA0.06 (−0.20, 0.32)0.07 (−0.19, 0.32)
Exercise
Less than 1 h/weekNAReferenceReference
1 h/week or moreNA0.09 (−0.16, 0.35)0.09 (−0.17, 0.34)
Frontline worker status
Second‐line workerNANAReference
Frontline workerNANA0.12 (−0.23, 0.48)

Model 1: Unadjusted. Model 2: Adjusted for age, sex, living alone, alcohol consumption, and exercise. Model 3: Adjusted for all variables in Model 2 and frontline worker status.

CI, confidence interval; NA, not applicable; PDS, Posttraumatic Diagnostic Scale.

*P < 0.05, **P < 0.01.

Bold values suggest significantly worse PTSD symptoms.

Association between three‐item PDS scores and COVID‐19‐related discrimination Model 1: Unadjusted. Model 2: Adjusted for age, sex, living alone, alcohol consumption, and exercise. Model 3: Adjusted for all variables in Model 2 and frontline worker status. CI, confidence interval; NA, not applicable; PDS, Posttraumatic Diagnostic Scale. *P < 0.05, **P < 0.01. Bold values suggest significantly worse PTSD symptoms. Table 4 summarizes associations between K6 scores and COVID‐19‐related discrimination by multivariable regression using hierarchical adjustments. The coefficient was statistically significant in all of the models (Model 1: β = 2.45, 95% CI = 0.89–4.00; Model 2: β = 2.40, 95% CI = 0.88–3.92; Model 3: β = 2.43, 95% CI = 0.91–3.95), suggesting that individuals experiencing such discrimination had worse psychological distress. Again, adding frontline worker status in the model did not decrease the coefficient.
Table 4

Association between K6 scores and COVID‐19‐related discrimination

Model 1Model 2Model 3
β (95% CI) β (95% CI) β (95% CI)
COVID‐19‐related discrimination
NoReferenceReferenceReference
Yes 2.45** (0.89, 4.00) 2.40** (0.88, 3.92) 2.43** (0.91, 3.95)
Age−0.01 (−0.04, 0.03)−0.01 (−0.04, 0.03)
Sex
MaleNAReferenceReference
FemaleNA0.01 (−0.82, 0.84)0.00 (−0.83, 0.83)
Living alone
NoNAReferenceReference
YesNA0.70 (−0.20, 1.59)0.70 (−0.19, 1.59)
Alcohol consumption
Less than once a weekNAReferenceReference
Once a week or moreNA0.16 (−0.59, 0.91)0.15 (−0.60, 0.90)
Exercise
Less than 1 h/weekNAReferenceReference
1 h/week or moreNA−0.16 (−0.95, 0.63)−0.15 (−0.94, 0.64)
Frontline worker status
Second‐line workerNANAReference
Frontline workerNANA−0.15 (−1.09, 0.79)

Model 1: Unadjusted. Model 2: Adjusted for age, sex, living alone, alcohol consumption, and exercise. Model 3: Adjusted for all variables in Model 2 and frontline worker status.

CI, confidence interval; K6, Kessler Psychological Distress Scale; NA, not applicable.

*P < 0.05, **P < 0.01.

Bold values suggest significantly worse psychological distress.

Association between K6 scores and COVID‐19‐related discrimination Model 1: Unadjusted. Model 2: Adjusted for age, sex, living alone, alcohol consumption, and exercise. Model 3: Adjusted for all variables in Model 2 and frontline worker status. CI, confidence interval; K6, Kessler Psychological Distress Scale; NA, not applicable. *P < 0.05, **P < 0.01. Bold values suggest significantly worse psychological distress.

DISCUSSION

As hypothesized, we found that frontline workers had higher odds of COVID‐19‐related discrimination than second‐line workers, and such discrimination was associated with PTSD symptoms and psychological distress. These associations remained significant after adjusting for potential confounders. Our findings are consistent with a previous study showing the association of stigma as a whole with PTSD symptoms and psychological distress (Lu et al. 2021). The present study is to our knowledge the first to suggest that frontline workers may have more chance of experiencing COVID‐19‐related discrimination compared with other workers. Further, this is the first study to show the association between COVID‐19‐related discrimination and PTSD symptoms. Frontline workers were more than twice as likely to experience COVID‐19‐related discrimination compared with second‐line workers. Healthcare workers as a whole are more likely to experience COVID‐19‐related bullying than individuals engaged in other occupations (Dye et al. 2020). Considered together, the increased odds of COVID‐19‐related discrimination in frontline workers would be more substantial when compared with other occupational groups. In our sample, 7.4% of healthcare workers experienced COVID‐19‐related discrimination, which was comparable to that of a previous study showing that 8.0% had COVID‐19‐related harassment, bullying or hurt (Dye et al. 2020). Nevertheless, due to a limited number of individuals who experienced COVID‐19‐related discrimination, the logistic model only adjusted for age, sex, and living alone (Peduzzi et al. 1996). Thus, the interpretation of the analysis should bear this in mind. While previous studies showed that COVID‐19‐related discrimination was associated with depression and anxiety (Campo‐Arias et al. 2021; Correia da Silva et al. 2022; Monterrosa‐Castro et al. 2020; Moro et al. 2022), we showed its association with PTSD symptoms and psychological distress. For PTSD symptoms, we studied intrusive images, nightmares, and physical reactions when reminded of the trauma (corresponding to B1, B2, and B5 of the DSM‐IV criteria, respectively; American Psychiatric Association 1994). Note that we did not evaluate other symptoms, namely reliving of the trauma (B3) and being emotionally upset when reminded of the trauma (B4). Importantly, the association did not substantially change after controlling for frontline worker status, suggesting that such discrimination may be linked to PTSD symptoms irrespective of having direct contact with COVID‐19 patients. Similar findings were seen when studying psychological distress. The psychological distress caused by COVID‐19‐related discrimination may lead to depression and anxiety (Campo‐Arias et al. 2021; Correia da Silva et al. 2022; Monterrosa‐Castro et al. 2020; Moro et al. 2022), which warrants future studies employing mediation analyses to contextualize these associations. The present study has five limitations. First, the data were cross‐sectional and we need to carefully interpret the findings. On the other hand, it is unlikely that COVID‐19‐related discrimination leads to frontline worker status and that PTSD symptoms and psychological distress lead to experiencing COVID‐19‐related discrimination. Thus, dealing with patients on the frontline may bring a higher chance of experiencing COVID‐19‐related discrimination, and such discrimination may result in worse mental health outcomes. Second, we had a small number of individuals who experienced COVID‐19‐related discrimination and thus included a limited number of covariates in the logistic model (Peduzzi et al. 1996). A larger sample is warranted to address this issue. Third, participants self‐reported the information including discrimination against their families, which may have caused a cognitive bias. Also, examination by certified psychiatrists would have provided more accurate information on PTSD symptoms although the three‐item PDS used in this study was a validated measurement. Fourth, the data were obtained from workers at a single healthcare institution in Japan, and thus our findings may have limited generalizability. For instance, the vaccination rate was 99.8% in this institution, whereas the rate should be lower in other countries. Fifth, we did not obtain detailed information on COVID‐19‐related discrimination, for example frequency. A validated and quantitative measurement of discrimination is warranted.

CONCLUSIONS

Frontline workers are more likely to experience COVID‐19‐related discrimination than second‐line workers. Such discrimination may result in PTSD symptoms and psychological distress. Interventions to prevent COVID‐19‐related discrimination against healthcare workers, for example anti‐discrimination campaigns, are important.

RELEVANCE FOR CLINICAL PRACTICE

Our findings added to the growing evidence on the role of COVID‐19‐related discrimination on mental health. We suggest that interventions to prevent such discrimination against healthcare workers, for example anti‐discrimination campaigns, are crucial. The psychological impact of COVID‐19‐related discrimination on healthcare workers may lead to a lower quality of healthcare. Bias against healthcare workers needs to be dismantled.

Funding

This study was funded by the Japan Health Research Promotion Bureau (JH) Research Fund (2020‐B‐09).

Ethical approval

Ethical approval was obtained from the National Center of Neurology and Psychiatry Institutional Review Board (A2020‐121). Table S1 Details of the participants' occupations. Click here for additional data file.
  26 in total

Review 1.  The importance of the normality assumption in large public health data sets.

Authors:  Thomas Lumley; Paula Diehr; Scott Emerson; Lu Chen
Journal:  Annu Rev Public Health       Date:  2001-10-25       Impact factor: 21.981

2.  Stigma: ignorance, prejudice or discrimination?

Authors:  Graham Thornicroft; Diana Rose; Aliya Kassam; Norman Sartorius
Journal:  Br J Psychiatry       Date:  2007-03       Impact factor: 9.319

3.  CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP.

Authors:  Joseph Felsenstein
Journal:  Evolution       Date:  1985-07       Impact factor: 3.694

4.  Discriminatory experiences associated with posttraumatic stress disorder symptoms among transgender adults.

Authors:  Sari L Reisner; Jaclyn M White Hughto; Kristi E Gamarel; Alex S Keuroghlian; Lauren Mizock; John E Pachankis
Journal:  J Couns Psychol       Date:  2016-02-11

5.  Healthcare workers' distress and perceived discrimination related to COVID-19 in Colombia.

Authors:  Adalberto Campo-Arias; María Paola Jiménez-Villamizar; Carmen Cecilia Caballero-Domínguez
Journal:  Nurs Health Sci       Date:  2021-06-08       Impact factor: 2.214

6.  Racial Discrimination is Associated with Acute Posttraumatic Stress Symptoms and Predicts Future Posttraumatic Stress Disorder Symptom Severity in Trauma-Exposed Black Adults in the United States.

Authors:  Claire M Bird; E Kate Webb; Andrew T Schramm; Lucas Torres; Christine Larson; Terri A deRoon-Cassini
Journal:  J Trauma Stress       Date:  2021-03-14

7.  COVID-19: a heavy toll on health-care workers.

Authors:  Sangeeta Mehta; Flavia Machado; Arthur Kwizera; Laurent Papazian; Marc Moss; Élie Azoulay; Margaret Herridge
Journal:  Lancet Respir Med       Date:  2021-02-05       Impact factor: 30.700

8.  The Impact of the COVID-19 Pandemic on the Mental Health of Healthcare Workers in Italy: Analyzing the Role of Individual and Workplace-Level Factors in the Reopening Phase After Lockdown.

Authors:  Maria Francesca Moro; Gemma Calamandrei; Ranieri Poli; Valentina Di Mattei; Alessandra Perra; Peter Konstantin Kurotschka; Alexandra Restrepo; Ferdinando Romano; Giuseppe La Torre; Emanuele Preti; Franco Mascayano; Angelo Picardi; Flavia Chiarotti; Venerando Rapisarda; Antonio Urban; Ruben Alvarado; Ezra Susser; Mauro Giovanni Carta
Journal:  Front Psychiatry       Date:  2022-06-02       Impact factor: 5.435

9.  Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019.

Authors:  Jianbo Lai; Simeng Ma; Ying Wang; Zhongxiang Cai; Jianbo Hu; Ning Wei; Jiang Wu; Hui Du; Tingting Chen; Ruiting Li; Huawei Tan; Lijun Kang; Lihua Yao; Manli Huang; Huafen Wang; Gaohua Wang; Zhongchun Liu; Shaohua Hu
Journal:  JAMA Netw Open       Date:  2020-03-02

10.  Fear and avoidance of healthcare workers: An important, under-recognized form of stigmatization during the COVID-19 pandemic.

Authors:  Steven Taylor; Caeleigh A Landry; Geoffrey S Rachor; Michelle M Paluszek; Gordon J G Asmundson
Journal:  J Anxiety Disord       Date:  2020-08-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.