COVID-19 Pandemic in a Vulnerable Population: Prevalence and Correlates of Anxiety
COVID-19 Pandemic in a Vulnerable Population: Prevalence and Correlates of Anxiety
Shalaby, Reham;Eboreime, Ejemai;Nkire, Nnamdi;Agyapong, Belinda;Pazderka, Hannah;Obuobi-Donkor, Gloria;Adu, Medard Kofi;Mao, Wanying;Owusu, Ernest;Oluwasina, Folajinmi;Agyapong, Vincent I. O.
2022-01-13 00:00:00
behavioral sciences Article COVID-19 Pandemic in a Vulnerable Population: Prevalence and Correlates of Anxiety 1 1 1 1 , 2 1 Reham Shalaby , Ejemai Eboreime , Nnamdi Nkire , Belinda Agyapong , Hannah Pazderka , 1 1 1 1 1 Gloria Obuobi-Donkor , Medard Kofi Adu , Wanying Mao , Ernest Owusu , Folajinmi Oluwasina 1 , 3 , and Vincent I. O. Agyapong * Department of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada; rshalaby@ualberta.ca (R.S.); eboreime@ualberta.ca (E.E.); Nnamdi.Nkire@albertahealthservices.ca (N.N.); bagyapon@ualberta.ca (B.A.); hannah@ualberta.ca (H.P.); obuobido@ualberta.ca (G.O.-D.); medard@ualberta.ca (M.K.A.); wmao2@ualberta.ca (W.M.); eowusu2@ualberta.ca (E.O.); folajinm@ualberta.ca (F.O.) Global Psychological E-Health Foundation, Edmonton, AB T6G 2B7, Canada Department of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 2E2, Canada * Correspondence: agyapong@ualberta.ca or vn602367@dal.ca; Tel.: +1-780-215-7771; Fax: +1-902-473-4887 Abstract: Background: The COVID-19 pandemic has produced negative mental health outcomes. These effects were more prominent in vulnerable communities that experienced prior similar disasters. The study aimed to examine the likelihood and correlates of anxiety symptoms among Fort McMur- ray (FMM) residents, during the COVID-19 pandemic. Methods: A cross-sectional online survey questionnaire was applied between 24 April and 2 June 2021, at FMM, to gather sociodemographic, COVID-19, and clinical information, including generalized anxiety disorder (using GAD-7 scale). Results: Overall, 186 individuals completed the survey (response rate 74.7%). Most of the respondents were females (159, 85.5%); above 40 years (98, 52.7%); employed (175, 94.1%); and in relationship Citation: Shalaby, R.; Eboreime, E.; (132, 71%). The prevalence of moderate-to-severe anxiety was (42.5%, 71) on GAD-7 self-reported Nkire, N.; Agyapong, B.; Pazderka, scale. Subscribers who reported that they would like to receive mental health support; have received H.; Obuobi-Donkor, G.; Adu, M.K.; no family support since COVID-19 declaration; and have lost their job during the pandemic were Mao, W.; Owusu, E.; Oluwasina, F.; all more likely to report moderate-to-severe anxiety (OR = 3.39; 95% CI: 1.29–8.88), (OR = 4.85; et al. COVID-19 Pandemic in a Vulnerable Population: Prevalence 95% CI: 1.56–15.03), and (OR = 4.40; 95% CI: 1.01–19.24), respectively. Conclusions: Anxiety levels and Correlates of Anxiety. Behav. Sci. were high among FMM residents, compared to levels before COVID-19. Clinical and social factors 2022, 12, 13. https://doi.org/ significantly predicted likely anxiety in the Fort McMurray population, during the COVID-19 pan- 10.3390/bs12010013 demic. It is imperative that resources are mobilized to support vulnerable communities during the COVID-19 pandemic. Academic Editor: Valentina Echeverria Keywords: anxiety; trauma; COVID-19; cross-sectional; online survey; Fort McMurray Received: 23 November 2021 Accepted: 9 January 2022 Published: 13 January 2022 Publisher’s Note: MDPI stays neutral 1. Introduction with regard to jurisdictional claims in Uncertainty and fear as consequences of SARS-CoV-2 infection have increased, pro- published maps and institutional affil- ducing profound effects on the individual well-being and mental health worldwide. Higher iations. levels of depression, anxiety, and stress have been observed in community members, includ- ing healthcare workers [1,2] students [3,4], seniors [5], and patients with health problems including mental health conditions [3], and COVID-19 infection [5]. According to a re- cent systematic review and meta-analysis by Salari et al., COVID-19 has threatened the Copyright: © 2022 by the authors. mental health of nearly one-third of the general population [6]. The pooled prevalence Licensee MDPI, Basel, Switzerland. of stress, depression, and anxiety was estimated at 29.6%, 33.7%, and 31.9%, respectively, This article is an open access article among the general population during the pandemic [6]. These figures were essentially distributed under the terms and higher among COVID-19 patients, in two recent systematic reviews and meta-analyses conditions of the Creative Commons by Pashazadeh Kan. et al. and Deng. et al. [5,7]. While natural disasters could, and do, Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ affect different populations, a subset of exposed people usually incur clinically significant 4.0/). mental health symptoms of stress, depression, post-traumatic stress disorder (PTSD), and Behav. Sci. 2022, 12, 13. https://doi.org/10.3390/bs12010013 https://www.mdpi.com/journal/behavsci Behav. Sci. 2022, 12, 13 2 of 15 anxiety [8,9]. The available data indicate that people who closely followed COVID-19 news became more anxious and distressed, particularly when the information was exaggerated or fabricated [10,11]. Emerging evidence from studies on the COVID-19 pandemic or similar disasters, suggests that several factors are implicated in the development of mental health and anxiety symptoms; for example, sociodemographic characteristics, such as age, gender, or receiving inadequate social support have significantly impacted mental health outcomes during such difficult times [5,12–14]. Additionally, having an infected family member with COVID-19 or excessive fear of becoming infected were also associated with stress- related symptoms [14–16]. Furthermore, having an existing mental health condition such as depression or anxiety may present an additional risk, which may contribute to potential exacerbation of the symptoms or relapsing due to service disruption or the need for isolation [13–17]. The received support during the current pandemic was also a significant protector against mental health symptoms. In a previous research [14], authors reported that people who did not receive family support or limited support were more than five times as likely to develop symptoms of post-traumatic stress disorder, compared to those who received absolute support. The region of Fort McMurray (FMM) is situated in the north of the province of Alberta in Western Canada. By May 2021, the region of FMM had experienced three major disasters over five consecutive years. These include the wildfires associated with an evacuation order in 2016, and flooding and COVID-19 in 2020. Such traumatic experiences are believed to have adversely impacted the mental health and general wellbeing of survivors [9,18]. The one-month prevalence of anxiety symptoms [19], PTSD [20], and depressive symptoms [21] were estimated at 19.8%, 12.8%, and 14.8%, respectively, six months after the wildfire [19]. Compared to a control population, the prevalence of mental health symptoms remained high among adolescents 18 months after the wildfire [18,22]. In 2020, the flooding affected over 1200 structures, costing damages worth $375 million [23]. The physical and economic cost of these experiences is often accompanying emotional difficulties and stress [22,23]. Given the aforementioned information, it is generally expected that there will be a rise in mental health problems due to the burden posed by these traumatic experiences. It is unclear, however, how prevalent the mental health symptoms are among FMM population during the COVID-19 pandemic. In this context, the goal of this study was to examine the prevalence and potential correlates of moderate-to-high anxiety during the month of May 2021 when FMM was considered to be a hotspot for the COVID-19 pandemic in Alberta, Canada [24]. Our specific research questions included: (1) what was the prevalence of moderate-to-high anxiety among residents of Fort McMurray during the month of May 2021 when the city was a hot spot for COVID-19 infections? (2) What were the sociodemographic, clinical, and COVID-19-related predictors for moderate-to-high anxiety in residents of Fort McMurray during the peak of the pandemic? We hypothesize that the prevalence of moderate-to-high anxiety symptoms in residents of FMM is higher than the prevalence reported for the general population in Canada and in other jurisdictions during the pandemic. We also hypothesize, that in addition to sociodemographic and clinical characteristics, there would be COVID-19-related variables that are independently associated with moderate-to-high anxiety symptoms in the respondents. The conceptual framework explaining the anticipated high prevalence of moderate- to-high anxiety in Fort McMurray in comparison to those of the general public in Canada during the pandemic was designed by the study authors and based on empirical evi- dence that the history of frequent disasters or major traumas may increase levels of mental health conditions [6,9,18,20], and therefore, the anxiety level may be increased under these circumstances and exceeding the levels reported in other communities during the same pandemic (Figure 1). Additionally, the framework suggests a number of poten- tial risk factors that may predispose toward high anxiety levels during the COVID-19 pandemic (Figure 1). Behav. Sci. 2022, 12, x 3 of 15 that may predispose toward high anxiety levels during the COVID-19 pandemic (Figure Behav. Sci. 2022, 12, 13 3 of 15 1). Support factors Sociodemographic • COVID-19 Clinical factors factors Anxiety levels in other Anxiety levels in FMM communities Figure 1. Conceptual framework for the prospective impact of multiple traumas and the predictive Figure 1. factors for Conceptual framework for the prospecti high anxiety levels in Fort McMurray (FMM) ve impa community ct of multiple versus trauother mas and the communities. predictive factors for high anxiety levels in Fort McMurray (FMM) community versus other communities. 2. Materials and Methods 2.1. Study Setting and Design 2. Materials and Methods The study data were collected through an online survey completed by people in 2.1. Study Setting and Design Fort McMurray (FMM), Canada. FMM represents the urban service area of the Northern The study data were collected through an online survey completed by people in Fort Alberta Regional Municipality of Wood Buffalo, with a diverse population of 111,687 as McMurray (FMM), Canada. FMM represents the urban service area of the Northern Al- of the 2018 census [25], mainly in temporary project accommodations and in adjoining berta Regional Municipality of Wood Buffalo, with a diverse population of 111,687 as of rural communities [20]. Through a cross-sectional survey introduced from 24 April to the 2018 census [25], mainly in temporary project accommodations and in adjoining rural 2 June 2021, a self-administered questionnaire was sent to residents of FMM via RED- communities [20]. Through a cross-sectional survey introduced from 24 April to 2 June Cap [26]. The questionnaire was distributed randomly via email using government, school, 2021, a self-administered questionnaire was sent to residents of FMM via REDCap [26]. occupational, and community platforms. Consent was implied, by completing the survey. The questionnaire was distributed randomly via email using government, school, occu- Study approval was granted by Alberta Health Research Ethics Committee (Pro00066054). pational, and community platforms. Consent was implied, by completing the survey. Study approval was granted by Alberta Health Research Ethics Committee (Pro00066054). 2.2. Outcome Measure The Generalized Anxiety Disorder-7 (GAD-7) scale was used to assess likely anxiety in 2.2. Outcome Measure the respondents. The scale consists of seven self-reported items that define the symptoms The Generalized Anxiety Disorder-7 (GAD-7) scale was used to assess likely anxiety of GAD. Items are rated on a 4-point Likert-type scale (0 = not at all to 3 = nearly every day). in the respondents. The scale consists of seven self-reported items that define the symp- Scores range from 0 to 21 with higher scores indicating more severe GAD symptoms [27]. toms of GAD. Items are rated on a 4-point Likert-type scale (0 = not at all to 3 = nearly every Patients with a GAD-7 score of 10 or more were deemed to have likely anxiety. Two day). Scores range from 0 to 21 with higher scores indicating more severe GAD symptoms categories were thus generated: Low anxiety <10 and moderate-to-high anxiety 10. In [27]. Patients with a GAD-7 score of 10 or more were deemed to have likely anxiety. Two a heterogeneous clinical population, the GAD-7 has excellent internal consistency and a ca one-factor tegories were thus structure [genera 27], indicating ted: Low a that nxiits ety <1 items 0 an ar d emodera all reprte- esentative to-high aof nxi one ety constr ≥ 10. In uct. a heterogeneous cli The GAD-7 is suggested nical pop as u a la valid tion, the tool for GAD- screening 7 has excellent and assessing internal consisten the severity of cy an GAD d in a one-factor structure clinical practice and [2 resear 7], in ch dicat [28]. ing that its items are all representative of one construct. The GAD-7 is suggested as a valid tool for screening and assessing the severity of GAD in 2.3. Statistical Analysis clinical practice and research [28]. Data were analyzed using SPSS Version 25 (IBM Corp 2011) [29]. Descriptive statistics 2. wer 3. Sta e administer tistical Anal edysi for s demographic, clinical, and COVID-19-related variables based on the relationship status. Chi-squared analysis was run to examine all the variables in relation Data were analyzed using SPSS Version 25 (IBM Corp 2011) [29]. Descriptive statis- to the likely anxiety categorical variable (low and moderate-to-high anxiety). Logistic tics were administered for demographic, clinical, and COVID-19-related variables based regression analysis was employed to identify significant predictors of likely anxiety. The on the relationship status. Chi-squared analysis was run to examine all the variables in model included the significant (p < 0.05) or near significant (0.1 p 0.05) variables with the likely anxiety, obtained from the univariate analysis. Odds ratios (OR) and confidence Behav. Sci. 2022, 12, 13 4 of 15 intervals were reported, determining the predictor variables for respondents to self-report likely anxiety during the COVID-19 pandemic, controlling for the rest of the variables. Correlational analysis was performed to exclude any strong intercorrelations (Spear- man’s correlation coefficient from 0.7 to 1.0 or from 0.7 to 1.0) among predictor variables. No imputation was applied, and reported data represent the complete responses. 3. Results Of the 249 individuals who clicked on the survey link, 186 completed the survey, yielding a response rate of 74.7%. Descriptive information of demographic, clinical, and COVID-19-related data on the full sample of patients (N = 186) were examined against the relationship status of the participants (Table 1). Overall, 71% (132) reported that they were in a relationship (married, cohabiting, or partnered) while 29% (54) reported they were not in a relationship (divorced, widowed, or single). From Table 1, most respondents 85.5% (159) were females; 52.7% (98) were above 40 years of age; 94.1% (175) were employed; 78% (145) owned their own homes; 48.4% (90) reported having no mental health diagnosis, while 64.5% (120) reported not receiving psychotropic medications; 38.7% (72) reported receiving mental health counseling; and 52.7% (98) reported they would like to receive mental health counseling. Table 1. Demographic profile, clinical characteristics, and support received by the study population. in a Not in a Total Variables Relationship Relationship n (%) n (%) n (%) Gender Male 17 (12.9) 10 (18.5) 27 (14.5) Female 115 (87.1) 44 (81.5) 159 (85.5) Age categories 40y 62 (47.0) 26 (48.1) 88 (47.3) >40y 70 (53.0) 28 (51.9) 98 (52.7) Employment status Employed 125 (94.7) 50 (92.6) 175 (94.1) Unemployed 7 (5.3) 4 (07.4) 11 (5.9) Housing status Own home 113 (85.6) 32 (59.3) 145 (78.0) Renting 19 (14.4) 22 (40.7) 41 (22.0) History of mental health diagnosis from a health professional Depression 37 (28.0) 21 (38.9) 58 (31.2) Bipolar Disorder 3 (2.3) 3 (5.6) 6 (3.2) Anxiety 54 (40.9) 24 (44.4) 78 (41.9) Schizophrenia 0 (0.0) 0 (0.0) 0 (0.0) Personality Disorder 0 (0.0) 2 (53.7) 2 (1.1) Other 12 (9.1) 5 (9.3) 17 (9.1) No mental health diagnosis 69 (52.3) 21 (38.9) 90 (48.4) History of psychotropic medications Antidepressants 34 (25.8) 25 (46.3) 59 (31.7) Antipsychotics 2 (1.5) 2 (3.7) 4 (2.2) Benzodiazepines 3 (2.3) 1 (1.9) 4 (2.2) Mood stabilizers 5 (3.8) 7 (13.0) 12 (6.5) Sleeping tablets 12 (9.1) 9 (16.7) 21 (11.3) Other 2 (1.5) 1 (1.9) 3 (1.6) On no psychotropic medication 92 (69.7) 28 (51.9) 120 (64.5) Behav. Sci. 2022, 12, 13 5 of 15 Table 1. Cont. in a Not in a Total Variables Relationship Relationship n (%) n (%) n (%) Respondents received MH 48 (36.4) 24 (44.4) 72 (38.7) counselling in the past year Respondents would like to 66 (50.0) 32 (59.3) 98 (52.7) receive MH counselling Respondents who have been fearful about contracting the 113 (89.7) 47 (97.9) 160 (92.0) coronavirus during the pandemic Respondents who have been fearful about their close friends or 121 (96.0) 47 (97.9) 168 (96.6) family members contracting the coronavirus during the pandemic Respondents who reported having close friends or family 94 (75.8) 30 (62.5) 124 (72.1) members who have been sick from the coronavirus disease Have you had to self-isolate or self-quarantine due to COVID-19 symptoms, recent travel, or because you were in contact with someone who may have COVID-19? Yes 77 (61.6) 27 (56.3) 104 (60.1) No 48 (38.4) 21 (43.8) 69 (39.9) During the period of the COVID-19 pandemic, how frequently did you watch television images of sick and dead people caused by coronavirus? Daily 58 (46.0) 19 (39.6) 77 (44.3) Less than daily 53 (42.1) 21 (43.8) 74 (42.5) Respondents did not watch the TV 15 (11.9) 8 (16.7) 23 (13.2) images of the devastation During the period of the COVID-19 pandemic, how frequently did you read newspaper and internet articles related to the pandemic? Daily 72 (57.1) 29 (60.4) 101 (58.0) Less than daily 50 (39.7) 19 (39.6) 69 (39.7) Respondents did not read newspaper and internet articles of 4 (3.2) 0 (0.0) 4 (2.3) the devastation Did you lose your job due to the COVID-19 pandemic? Yes 14 (11.1) 7 (14.6) 21 (12.1) No 112 (88.9) 41 (85.4) 153 (87.9) Behav. Sci. 2022, 12, 13 6 of 15 Table 1. Cont. in a Not in a Total Variables Relationship Relationship n (%) n (%) n (%) Received sufficient support from family and friends since the COVID-19 pandemic declared Some-to-high level of support 94 (75.2) 37 (77.1) 131 (75.7) Limited or no support 31 (24.8) 11 (22.9) 42 (24.3) Received sufficient support from Government of Canada since the COVID-19 pandemic declared Some-to-high level of support 38 (30.9) 11 (23.9) 49 (29.0) Limited or no support 85 (69.1) 35 (76.1) 120 (71.0) Received sufficient support from Government of Alberta since the COVID-19 pandemic declared Some-to-high level of support 32 (29.9) 9 (20.0) 41 (27.0) Limited or no support 75 (70.1) 36 (80.0) 111 (73.0) Received sufficient support from the employer since the COVID-19 pandemic declared Some-to-high level of support 90 (72.6) 34 (70.8) 124 (72.1) Limited or no support 34 (27.4) 14 (29.2) 48 (27.9) Likely anxiety level Low anxiety 73 (60.3) 23 (50.0) 96 (57.5) Moderate-to-severe anxiety 48 (39.7) 23 (50.0) 71 (42.5) MH: Mental health. Regarding COVID-19-related data, during the pandemic, 92% (160) of respondents reported having been fearful about contracting the virus; 96.6% (168) were fearful about their close friends or family members contracting the coronavirus; 72.1% (124) reported having close friends or family members who have been sick from the coronavirus disease; 60.1% (104) had to self-isolate or self-quarantine due to COVID-19 symptoms, recent travel, or because of being in contact with someone who may have COVID-19; 44.3% (77) watched television images of sick and dead people caused by coronavirus, on a daily basis; 58% (101) read newspaper and internet articles related to the pandemic, on a daily basis; 12.1% (21) reported losing their job due to the COVID-19 pandemic; and received sufficient support from family and friends since the COVID-19 pandemic declared. Regarding receiving support since the COVID-19 pandemic was declared, respondents reported receiving a some-to-high level of support from: family and friends were 75.7% (131); from the Government of Canada were 29% (49); from the Government of Alberta were 27% (41); and from the employer were 72.1% (124). Moderate-to-severe anxiety was reported by 42.5% (71) of the respondents. The univariate analysis in Table 2 included 30 demographic, clinical, and COVID-19- related variables in relation to the likelihood of anxiety. Chi-squared or Fisher exact test revealed significant association between the likelihood of anxiety and 13 variables: employ- ment status; history of depression diagnosis; history of anxiety diagnosis; history of any mental health diagnosis; history of antidepressant medications; history of Benzodiazepine medications; history of receiving any psychotropic medications; receiving mental health counselling; willingness to receiving mental health counselling; losing job due to COVID-19 pandemic; receiving sufficient support from family or friends; receiving sufficient support from Government of Canada; and receiving sufficient support from the employer, since the COVID-19 pandemic declared. No variables showed a near significant association with likely anxiety. Behav. Sci. 2022, 12, 13 7 of 15 Table 2. Chi-squared test of association between demographic, clinical, and COVID-19 characteristics and likely anxiety. Moderate-to-High Low Anxiety Chi Square/Fisher’s p Value Variables Anxiety Effect Size Exact n (%) n (%) Demographic Characteristics Gender Male 15 (65.2) 8 (34.8) 0.65 0.50 0.06 Female 81 (56.3) 63 (43.8) Age categories 40y 40 (51.9) 37 (48.1) 1.79 0.21 0.10 >40y 56 (62.2) 34 (37.8) Employment status Employed 95 (60.1) 63 (39.9) 8.37 <0.001 * 0.22 Unemployed 1 (11.1) 8 (88.9) Relationship In a relationship 73 (60.3) 48 (39.7) 1.46 0.29 0.09 Not in a relationship 23 (50.0) 23 (50.0) Housing status Own home 78 (58.6) 55 (41.4) 0.36 0.57 0.05 Renting 18 (52.9) 16 (47.1) Clinical Characteristics History of depression from a health professional? Yes 19 (35.8) 34 (64.2) 14.87 <0.001 * 0.30 No 77 (67.5) 37 (32.5) History of bipolar disorder from a health professional? Yes 3 (60.0) 2 (40.0) 0.01 0.99 0.01 No 93 (57.4) 69 (42.6) History of anxiety from a health professional? Yes 29 (41.4) 41 (58.6) 12.71 <0.001 * 0.28 No 67 (69.1) 30 (30.9) History of personality disorder from a health professional? Yes 0 (0.0) 1 (100.0) ** 0.43 0.09 No 96 (57.8) 70 (42.2) History of any mental health diagnosis from a health professional? Yes 41 (47.7) 45 (52.3) 6.98 0.01 * 0.20 No 55 (67.9) 26 (32.1) History of antidepressant medications Yes 24 (45.3) 29 (54.7) 4.73 0.04 * 0.17 No 72 (63.2) 42 (36.8) History of antipsychotics medications Yes 2 (66.7) 1 (33.3) ** 0.99 0.03 No 94 (57.3) 70 (42.7) Behav. Sci. 2022, 12, 13 8 of 15 Table 2. Cont. Moderate-to-High Low Anxiety Chi Square/Fisher’s p Value Variables Anxiety Effect Size Exact n (%) n (%) History of benzodiazepines medications Yes 0 (0.0) 4 (100.0) No 96 (58.9) 67 (41.1) ** 0.03 * 0.18 History of mood stabilizers medications Yes 5 (50.0) 5 (50.0) No 91 (58.0) 66 (42.0) 0.24 0.75 0.04 History of sleeping tablets medications Yes 8 (44.4) 10 (55.6) No 88 (59.1) 61 (40.9) 1.40 0.31 0.09 On any psychotropic medication Yes 28 (46.7) 32 (53.3) 4.48 0.05 0.16 No 68 (63.6) 39 (36.4) Respondents received MH counselling in the past year Yes 23 (36.5) 40 (63.5) 18.22 <0.001 * 0.33 No 73 (70.2) 31 (29.8) Respondents would like to receive MH counselling Yes 31 (35.2) 57 (64.8) 37.71 <0.001 * 0.48 No 65 (82.3) 14 (17.7) COVID-19-related Characteristics Respondents who have been fearful about contracting the coronavirus during the pandemic Yes 86 (56.2) 67 (43.8) 1.22 0.40 0.09 No 10 (71.4) 4 (28.6) Respondents who have been fearful about their close friends or family members contracting the coronavirus during the pandemic Yes 90 (55.9) 71 (44.1) ** 0.39 0.17 No 6 (100.0) 0 (0.0) Respondents who reported having close friends or family members sick from the coronavirus disease Yes 69 (58.5) 49 (41.5) 0.38 0.60 0.05 No 25 (53.2) 22 (46.8) Have you had to self-isolate or self-quarantine due to COVID-19 symptoms, recent travel, or because you were in contact with someone who may have COVID-19? Yes 58 (56.9) 44 (43.1) 0.01 0.99 0.01 No 37 (57.8) 27 (42.2) Behav. Sci. 2022, 12, 13 9 of 15 Table 2. Cont. Moderate-to-High Low Anxiety Chi Square/Fisher’s p Value Variables Anxiety Effect Size Exact n (%) n (%) During the period of the COVID-19 pandemic, how frequently did you watch television images of sick and dead people caused by coronavirus? Daily 37 (50.7) 36 (49.3) 0.25 0.24 0.13 Less than daily 47 (64.4) 26 (35.6) Respondents did not watch the TV 12 (57.1) 9 (42.9) images of the devastation During the period of the COVID-19 pandemic, how frequently did you read newspaper and internet articles related to the pandemic? Daily 51 (52.6) 46 (47.4) ** 0.31 0.12 Less than daily 42 (63.6) 24 (36.4) Respondents did not read newspaper and internet articles of 3 (75.0) 1 (25.0) the devastation Did you lose your job due to the COVID-19 pandemic? Yes 5 (25) 15 (75) 9.81 <0.01 * 0.24 No 91 (61.9) 56 (38.1) Received sufficient support from family and friends since the COVID-19 pandemic declared Some-to-high level of support 84 (66.7) 42 (33.3) 16.74 <0.001 * 0.32 Limited or no support 12 (30.0) 28 (70.0) Received sufficient support from Government of Canada since the COVID-19 pandemic declared Some-to-high level of support 34 (73.9) 12 (26.1) 7.96 <0.01 * 0.22 Limited or no support 58 (49.6) 59 (50.4) Received sufficient support from Government of Alberta since the COVID-19 pandemic declared Some-to-high level of support 27 (71.1) 11 (28.9) 2.37 0.18 0.13 Limited or no support 62 (56.9) 47 (43.1) Received sufficient support from the employer since the COVID-19 pandemic declared Some-to-high level of support 77 (63.6) 44 (36.4) 7.49 0.01 0.21 Limited or no support 18 (40.0) 27 (60.0) ** Fisher ’s exact test. * p < 0.05. Table 3 illustrates the multivariate logistic regression model employed to predict likely anxiety among study respondents. The model included 10/13 out of the chi-squared predic- tor variables, after removal of two variables: history of any mental health diagnosis and history of antidepressant medications that showed high correlation with other variables (r > 0.7), and another variable: history of Benzodiazepine medications that showed no variability. Behav. Sci. 2022, 12, 13 10 of 15 Table 3. Logistic regression model for respondents’ likelihood to present with moderate-to- severe anxiety. 95% C.I. for Odd’s Ratio Odd’s p Value Characteristics B S.E. Wald df Ratio Lower Upper Not employed 2.046 1.327 2.375 1 0.123 7.734 0.574 104.303 Having received depression 0.799 0.545 2.149 1 0.143 2.223 0.764 6.468 diagnosis from a health professional Having received anxiety diagnosis 0.870 0.561 2.411 1 0.121 2.388 0.796 7.166 from a health professional Have received mental health 0.594 0.534 1.241 1 0.265 1.812 0.637 5.158 counselling in the past year Would like to receive mental health 1.285 0.482 7.118 1 0.008 * 3.616 1.406 9.296 counselling Not on any medication for mental 0.485 0.616 0.619 1 0.431 0.616 0.184 2.061 health concerns Job loss due to the COVID-19 1.482 0.753 3.876 1 0.049 * 4.401 1.007 19.241 pandemic (Yes) Received limited or no family support since the COVID-19 1.458 0.546 7.124 1 0.008 * 4.296 1.473 12.530 pandemic declared Received limited or no support from Government of Canada since the 0.812 0.524 2.400 1 0.121 2.253 0.806 6.292 COVID-19 pandemic declared Received limited or no support from the employer since the COVID-19 0.077 0.477 0.026 1 0.871 0.925 0.363 2.358 pandemic declared Constant 2.922 0.584 24.993 1 0.000 0.054 * Significance at p < 0.05. C.I.: confidence interval. S.E.: standard error. Df: degree of freedom. The model was statistically significant; X (df = 12; n = 161) = 75.39, p < 0.001, sug- gesting that the model could distinguish between respondents who did or did not exhibit likely anxiety during the COVID-19 pandemic. The model accounted for 37.4% (Cox 2 2 and Snell R ) to 50.1% (Nagelkerke R ) of the variance. According to the goodness-of-fit statistic using the Hosmer–Lemeshow goodness-of-fit test, the model was adequately fit (Chi = 10.0; p = 0.27) and correctly classified 75.8% of cases Only three variables, the desire to have MH support, receiving family support, and job loss due to the COVID-19 pandemic showed significant prediction of likely GAD in the model. Subscribers who reported that they would like to receive mental health support were more than three times likely to express moderate-to-severe anxiety during the COVID-19 pandemic, compared to those who were not willing to receive MH support (OR = 3.39; 95% CI: 1.29–8.88), while controlling for the other variables. Likewise, respondents who reported losing their job during the pandemic were four times more likely to report likely anxiety, compared to those who did not lose their job (OR = 4.40; 95% CI: 1.01–19.24), after controlling for other model variables. Similarly, the subscribers who reported receiving limited or no family support since the declaration of COVID-19 pandemic were almost five times more likely to report moderate- to-severe anxiety, compared to those who received some-to-high level of family support (OR = 4.85; 95% CI: 1.56–15.03), while controlling for other variables. The largest contribu- tion to the model was provided by the received family support variable (Wald = 7.46). Behav. Sci. 2022, 12, 13 11 of 15 4. Discussion Our study examined the prevalence and the potential predictors of likely generalized anxiety disorder (GAD) development during the COVID-19 pandemic, among Fort McMur- ray’s study participants. The prevalence of likely GAD was 42.5% in our study (based on self-reported GAD-7 scale). In comparison with other studies during similar disasters in the same community, the prevalence in our study was overall higher than what was previously reported 6 months and 18 months after the wildfires (20% and 18%, respectively) [19,30]. This may reflect the stringent impact of the pandemic upon mental health and wellbeing. The time of sampling may be an additional factor; where the current survey was carried out during the continuous pandemic when there was still so much uncertainty, while the wildfire surveys were conducted at 6 and 18 months after the wildfires. On the other hand, this prevalence is consistent with other studies of the same variable during the pandemic in different places such as China and other parts of Canada [31,32] in which GAD prevalence was reported at 44.6% and 46.7%, respectively. A lower prevalence of anxiety was reported in a systematic review conducted during the pandemic (27.3–39.6%); however, the study reported a marked discrepancy in such values between females and males at 48% and 28%, respectively [5]. Given that the majority of our respondents were females, the reported high anxiety levels may be related to this particular category. Consequently, it appears that, contrary to our stated hypothesis, the prevalence of moderate-to-high anxiety in FMM, a community with a history of two previous natural disasters, was aligned with and in some consideration, even less than (when considering the female majority of the sample) than the prevalence of moderate-to-high anxiety experienced in other communities during the COVID-19 pandemic. This may be attributed to either the unprecedented effect of the pandemic that triggered the maximum levels of mental distress regardless of the previous traumas, or to some extent, to the adaptability and resilience developed by FMM residents after experiencing frequent traumas. Among sociodemographic characteristics, employment status showed a significant as- sociation with the likelihood of anxiety, where the majority of unemployed people reported moderate-to-high anxiety symptoms; however, the limited number of respondents in this category (n = 9) may impair any meaningful interpretation of such a finding. However, given the fact that the ability to work from home during lockdown is a consideration specific to pandemic trauma (compared to the wildfire or flooding those residents had also experienced), it stands to reason that unemployment would be associated with significant increases in anxiety. Other than employment status, none of the demographic characteris- tics showed an association with anxiety symptoms during the pandemic. Although females and the younger age expressed a higher prevalence of anxiety symptoms, compared to males and older age groups, respectively, the difference was minimal and not significant. This contradicts other studies, where the younger age groups were found to be more prone to express mental health stresses, including anxiety symptoms during the pandemic, compared to the older age groups [5,12]. The relatively small sample size of our study may not have elicited that difference as reported in other studies. The three variables that correlated with high odds of likely GAD in our study were the need to receive mental health support, job loss due to the pandemic, and the limited/lack of family support since the declaration of the pandemic. Respondents who reported their need to receive or were receiving mental health support were consistently reported, in other studies, to be at a higher risk of expressing mental health symptoms [14,30]. However, this finding may need to be interpreted cautiously and in the context of the association relationship between the need of support and the underlying pathology. Although this need may be perceived as a serious indicator for a possible presence or development of psychopathology, the reverse may be the case, where the underlying anxiety symptoms may have triggered the excessive MH need, particularly during the pandemic In the same context, our results did not find underlying mental health conditions to significantly predict the presence of likely anxiety. Although those who reported having a diagnosis of depression or anxiety at the time of the survey were from two to three folds Behav. Sci. 2022, 12, 13 12 of 15 more likely to express anxiety symptoms, these associations were not statistically significant. This contrasts with the previous literature, in which people who had prior mental health conditions were at a high risk of developing mental illness post-disaster [14,33,34]. This may be explained by those who have a well-diagnosed mental health condition may be in a better position than those who are yet to be diagnosed, as receiving regular therapeutic support may, otherwise guard against further symptomatology. However, the timing of data collection in relation to the pandemic phase may also have a role. In one study, for example, the authors found that the pre-existing mental health condition was a significant predictor for psychological distress early in the study phase, while the effect disappeared later in the study [13]. Similarly, they found that people with increasing mental health symptoms have experienced resilience early in the pandemic, which faded later, and in contrast to those who reported high scores in the early weeks, they showed considerable improvement with the pandemic progression [13]. Our results showed that losing a job due to the pandemic represented a significant risk factor of developing anxiety symptoms, compared to those who did not lose their jobs in our study cohort. This finding is consistent with previous research which reported losing a job or job insecurity was linked to various mental health adversities including depression and psychological distress [35,36]. People who lost their job in an Australian cohort were four times more likely to express severe psychological distress compared to the employed people during the pandemic [36]. Furthermore, people who kept working during the pandemic demonstrated better mental and physical health, and life satisfaction, compared to the people who stopped working; these results were fairly similar for those who worked at their home or at their office [37]. In our study, the role of family or friends’ support during the COVID-19 pandemic was a determinant for the likelihood of GAD. Those who reported receiving limited or no support from the family or friends were more prone to likely GAD, compared to those receiving some-to-high level of support. Several studies supported such a find- ing, exploring the role of the family and the social support in ameliorating anxiety and improving coping and resilience, among other distresses during and after disasters and pandemics [14,19,36,38]. Moreover, having sufficient support prior to a disaster may act as a barrier against psychological trauma developing usually after the crisis [9]. Additionally, having poor relationships or lack of social support, prior to a disaster is accompanied by more psychopathologies [33]. Limitations of the Study Our study has several limitations. Firstly, the sample size is relatively small; thus, our results may need to be replicated with other large-scale studies. Secondly, the majority of our respondents were females, which may limit the generalizability of the data. Thirdly, our study results were limited by the frequency of the reported conditions; for example, none of the study participants reported a history of psychotic disorder, on which we could not establish the relationship between the history of psychotic disorder and the present condition of anxiety symptoms. Fourth, given that the survey was shared via e-mail by community partners, it was not possible to specify how many individuals received the survey links. The study response rate was calculated using the number of unique individuals who clicked on the link as the denominator, rather than the number who received the link, as the latter could not be determined, which could lead to an overestimation of the response rate. Finally, the measurement scale for likely GAD was self-reported and was not supported by objective and detailed clinical assessment. 5. Conclusions This study highlighted the mental health burdens—mainly anxiety—during the COVID-19 pandemic in FMM. It adds to the clinical and research evidence related to the field of trauma and disasters. The study identified the prevalence and the correlates of the likelihood of developing GAD among residents of Fort McMurray, Canada, during Behav. Sci. 2022, 12, 13 13 of 15 the COVID-19 pandemic. Against our expectations, although we found a high level of anxiety experienced among FMM residents during the current pandemic when compared to other previous disasters, this level was fairly aligned with the results of other reports within non-traumatized communities during the COVID-19 pandemic. On the other hand, in line with our hypothesis, the received support from the family and friends and the reported need for mental health support are substantially related to likely GAD, although none of the demographic or underlying clinical conditions could predict likely anxiety. Such results may need cautious interpretation in light of the small sample size and limited reportedly history of clinical conditions. Therefore, it is imperative for the research and policy to mobilize the resources that widely examine and safeguard against developing anxiety symptoms, with a clear understanding of the leading causes that contribute to such outcomes during pandemics, in order to improve personal functionality and achieve a better quality of life. Key Points 1. The prevalence of anxiety symptoms among Fort McMurray residents was 42.5% based on GAD-7, a self-reported measure; 2. The subscribers who stated that they would like to receive mental health support were three times more likely to demonstrate likely anxiety; 3. The lack of family/friend support during the COVID-19 pandemic demonstrated a significant risk factor for developing anxiety symptoms; 4. Similarly, losing the job during the COVID-19 pandemic was significantly related to the development of anxiety symptoms. Author Contributions: The study was conceived and designed by V.I.O.A.; R.S. conducted the data analysis and drafted the initial manuscript. E.E. contributed to data collection. All authors contributed to study design, reviewing, and revising the initial draft manuscript: R.S., E.E., N.N., B.A., H.P., G.O.-D., M.K.A., W.M., E.O., F.O. and V.I.O.A. All authors have read and agreed to the published version of the manuscript. Funding: This study was supported by grants from the Mental Health Foundation and the Douglas Harden Trust Fund. Institutional Review Board Statement: The study was conducted in accordance with the Declaration of Helsinki, Study approval was granted by Alberta Health Research Ethics Committee (Pro00066054). Informed Consent Statement: Informed consent was implied from all subjects involved in the study, by completing the survey. Data Availability Statement: Data is available upon reasonable request to the submitting author. Acknowledgments: Support with survey link distribution was received from the Fort McMurray Public and Catholic School Boards, Keyano College, and the Canadian Mental Health Association. Conflicts of Interest: The authors declare no conflict of interest. References 1. Hassannia, L.; Taghizadeh, F.; Moosazadeh, M.; Zarghami, M.; Taghizadeh, H.; Dooki, A.F.; Fathi, M.; Alizadeh-Navaei, R.; Hedayatizadeh-Omran, A.; Dehghan, N. Anxiety and Depression in Health Workers and General Population During COVID-19 in IRAN: A Cross-Sectional Study. Neuropsychopharmacol. Rep. 2021, 41, 40–49. [CrossRef] [PubMed] 2. da Silva, F.C.T.; Neto, M.L.R. Psychological effects caused by the COVID-19 pandemic in health professionals: A systematic review with meta-analysis. Prog. Neuropsychopharmacol. Biol. Psychiatry 2021, 104, 110062. [CrossRef] 3. Zhang, X.; Shi, X.; Wang, Y.; Jing, H.; Zhai, Q.; Li, K.; Zhao, D.; Zhong, S.; Song, Y.; Zhang, F.; et al. Risk Factors of Psychological Responses of Chinese University Students During the COVID-19 Outbreak: Cross-sectional Web-Based Survey Study. J. Med. Internet Res. 2021, 23, e29312. [CrossRef] 4. Zhou, S.-J.; Zhang, L.-G.; Wang, L.-L.; Guo, Z.-C.; Wang, J.-Q.; Chen, J.-C.; Liu, M.; Chen, X.; Chen, J.-X. Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19. Eur. Child Adolesc. Psychiatry 2020, 29, 749–758. [CrossRef] Behav. Sci. 2022, 12, 13 14 of 15 5. Pashazadeh Kan, F.; Raoofi, S.; Rafiei, S.; Khani, S.; Hosseinifard, H.; Tajik, F.; Raoofi, N.; Ahmadi, S.; Aghalou, S.; Torabi, F.; et al. A systematic review of the prevalence of anxiety among the general population during the COVID-19 pandemic. J. Affect. Disord. 2021, 293, 391–398. [CrossRef] 6. Salari, N.; Hosseinian-Far, A.; Jalali, R.; Vaisi-Raygani, A.; Rasoulpoor, S.; Mohammadi, M.; Rasoulpoor, S.; Khaledi-Paveh, B. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Glob. Health 2020, 16, 57. [CrossRef] 7. Deng, J.; Zhou, F.; Hou, W.; Silver, Z.; Wong, C.Y.; Chang, O.; Huang, E.; Zuo, Q.K. The prevalence of depression, anxiety, and sleep disturbances in COVID-19 patients: A meta-analysis. Ann. N. Y. Acad. Sci. 2021, 1486, 90–111. [CrossRef] [PubMed] 8. SAMHSA. Disaster Technical Assistance Center. Supplemental Research Bulletin. Disasters and People With Serious Mental Illness. 2019. Available online: https://www.samhsa.gov/sites/default/files/disasters-people-with-serious-mental-illness.pdf (accessed on 21 September 2021). 9. Mao, W.; Agyapong, V.I.O. The Role of Social Determinants in Mental Health and Resilience after Disasters: Implications for Public Health Policy and Practice. Front. Public Health 2021, 9, 658528. [CrossRef] 10. Mental Health and Psychosocial Considerations during the COVID-19 Outbreak. 18 March 2020. Available online: https://apps. who.int/iris/bitstream/handle/10665/331490/WHO-2019-nCoV%20-MentalHealth-2020.1-eng.pdf?sequence=1 (accessed on 22 August 2021). 11. Gao, J.; Zheng, P.; Jia, Y.; Chen, H.; Mao, Y.; Chen, S.; Wang, Y.; Fu, H.; Dai, J. Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE 2020, 15, e0231924. 12. Nwachukwu, I.; Nkire, N.; Shalaby, R.; Hrabok, M.; Vuong, W.; Gusnowski, A.; Surood, S.; Urichuk, L.; Greenshaw, A.J.; Agyapong, V.I.O. COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada. Int. J. Environ. Res. Public Health 2020, 17, 6366. [CrossRef] 13. McPherson, K.E.; McAloney-Kocaman, K.; McGlinchey, E.; Faeth, P.; Armour, C. Longitudinal analysis of the UK COVID-19 Psychological Wellbeing Study: Trajectories of anxiety, depression and COVID-19-related stress symptomology. Psychiatry Res. 2021, 304, 114138. [CrossRef] [PubMed] 14. Shalaby, R.; Adu, M.K.; Andreychuk, T.; Eboreime, E.; Gusnowski, A.; Vuong, W.; Surood, S.; Greenshaw, A.J.; Agyapong, V.I.O. Prevalence, Demographic, and Clinical Correlates of Likely PTSD in Subscribers of Text4Hope during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 6227. [CrossRef] [PubMed] 15. Kunzler, A.M.; Rothke, N.; Gunthner, L.; Stoffers-Winterling, J.; Tuscher, O.; Coenen, M.; Rehfuess, E.; Schwarzer, G.; Binder, H.; Schmucker, C.; et al. Mental burden and its risk and protective factors during the early phase of the SARS-CoV-2 pandemic: Systematic review and meta-analyses. Glob. Health 2021, 17, 34. [CrossRef] [PubMed] 16. Malakoutikhah, A.; Zakeri, M.A.; Salehi Derakhtanjani, A.; Dehghan, M. Anxiety, anger, and mindfulness as predictors of general health in the general population during COVID-19 outbreak: A survey in southeast Iran. J. Community Psychol. 2021, 17, 34. [CrossRef] 17. Holmes, E.A.; O’Connor, R.C.; Perry, V.H.; Tracey, I.; Wessely, S.; Arseneault, L.; Ballard, C.; Christensen, H.; Cohen Silver, R.; Everall, I.; et al. Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. Lancet Psychiatry 2020, 7, 547–560. [CrossRef] 18. Brown, M.R.G.; Agyapong, V.; Greenshaw, A.J.; Cribben, I.; Brett-MacLean, P.; Drolet, J.; McDonald-Harker, C.; Omeje, J.; Mankowsi, M.; Noble, S.; et al. Significant PTSD and Other Mental Health Effects Present 18 Months after the Fort Mcmurray Wildfire: Findings from 3070 Grades 7–12 Students. Front. Psychiatry 2019, 10, 623. [CrossRef] 19. Agyapong, V.I.O.; Hrabok, M.; Juhas, M.; Omeje, J.; Denga, E.; Nwaka, B.; Akinjise, I.; Corbett, S.E.; Moosavi, S.; Brown, M.; et al. Prevalence Rates and Predictors of Generalized Anxiety Disorder Symptoms in Residents of Fort McMurray Six Months after a Wildfire. Front. Psychiatry 2018, 9, 345. [CrossRef] 20. Agyapong, V.I.O.; Juhas, M.; Omege, J.; Denga, E.; Nwaka, B.; Akinjise, I.; Corbett, S.E.; Brown, M.; Chue, P.; Li, X.-M.; et al. Prevalence Rates and Correlates of Likely Post-Traumatic Stress Disorder in Residents of Fort McMurray 6 Months after a Wildfire. Int. J. Ment. Health Addict. 2021, 19, 632–650. [CrossRef] 21. Agyapong, V.I.O.; Juhás, M.; Brown, M.R.G.; Omege, J.; Denga, E.; Nwaka, B.; Akinjise, I.; Corbett, S.E.; Hrabok, M.; Li, X.-M.; et al. Prevalence Rates and Correlates of Probable Major Depressive Disorder in Residents of Fort McMurray 6 Months after a Wildfire. Int. J. Ment. Health Addict. 2019, 17, 120–136. [CrossRef] 22. Brown, M.R.G.; Agyapong, V.; Greenshaw, A.J.; Cribben, I.; Brett-MacLean, P.; Drolet, J.; McDonald-Harker, C.; Omeje, J.; Mankowsi, M.; Noble, S.; et al. After the Fort McMurray wildfire there are significant increases in mental health symptoms in grade 7–12 students compared to controls. BMC Psychiatry 2019, 19, 18. 23. Insurance Bureau of Canada; CISION. Fort McMurray Flooding Causes over $228 Million in Insured Damage. 1 June 2020. Avail- able online: https://www.newswire.ca/news-releases/fort-mcmurray-flooding-causes-over-228-million-in-insured-damage- 837624948.html (accessed on 22 August 2021). 24. Pruden, J.G. COVID-19 Hot Spot Fort McMurray Weathers Its Latest Disaster with Frustration and Resolve. The Globe and Mail. Available online: https://www.theglobeandmail.com/canada/alberta/article-covid-19-hot-spot-fort-mcmurray-weathers-its- latest-disaster-with/ (accessed on 3 October 2021). 25. Municipal Census Peport. Census 2018. Available online: https://www.rmwb.ca/en/permits-and-development/resources/ Documents/Latest-Census-Report-2018.pdf (accessed on 11 October 2021). Behav. Sci. 2022, 12, 13 15 of 15 26. Harris, P.A.; Taylor, R.; Thielke, R.; Payne, J.; Gonzalez, N.; Conde, J.G. Research electronic data capture (REDCap)—A metadata- driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inf. 2009, 42, 377–381. [CrossRef] 27. Johnson, S.; Ulvenes, P.; Oktedalen, T.; Hoffart, A. Psychometric Properties of the General Anxiety Disorder 7-Item (GAD-7) Scale in a Heterogeneous Psychiatric Sample. Front. Psychol. 2019, 10, 1713. [CrossRef] [PubMed] 28. Spitzer, R.L.; Kroenke, K.; Williams, J.B.; Lowe, B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch. Intern. Med. 2006, 166, 1092–1097. [CrossRef] 29. IBM. IBM Support. Release Notes—IBM®SPSS®Statistics 25.0. Available online: https://www.ibm.com/support/pages/release- notes-ibm%C2%AE-spss%C2%AE-statistics-250 (accessed on 8 December 2020). 30. Moosavi, S.; Nwaka, B.; Akinjise, I.; Corbett, S.E.; Chue, P.; Greenshaw, A.J.; Silverstone, P.H.; Li, X.-M.; Agyapong, V.I.O. Mental Health Effects in Primary Care Patients 18 Months after a Major Wildfire in Fort McMurray: Risk Increased by Social Demographic Issues, Clinical Antecedents, and Degree of Fire Exposure. Front. Psychiatry 2019, 10, 683. [CrossRef] [PubMed] 31. Lai, J.; Ma, S.; Wang, Y.; Cai, Z.; Hu, J.; Wei, N.; Wu, J.; Du, H.; Chen, T.; Li, R.; et al. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw. Open 2020, 3, e203976. [CrossRef] 32. Hrabok, M.; Nwachukwu, I.; Gusnowski, A.; Shalaby, R.; Vuong, W.; Surood, S.; Li, D.; Greenshaw, A.J.; Agyapong, V.I.O. Mental Health Outreach via Supportive Text Messages during the COVID-19 Pandemic: One-week Prevalence and Correlates of Anxiety Symptoms. Can. J. Psychiatry 2021, 66, 59–61. [CrossRef] [PubMed] 33. Goldmann, E.; Galea, S. Mental health consequences of disasters. Annu. Rev. Public Health 2014, 35, 169–183. [CrossRef] [PubMed] 34. Maguen, S.; Neria, Y.; Conoscenti, L.; Litz, B. Depression and Prolonged Grief in the Wake of Disasters. In Mental Health and Disasters; Cambridge University Press: Cambridge, UK, 2009; pp. 116–130. 35. Burgard, S.A.; Kalousova, L.; Seefeldt, K.S. Perceived job insecurity and health: The Michigan Recession and Recovery Study. J. Occup. Environ. Med. 2012, 54, 1101–1106. [CrossRef] 36. Collie, A.; Sheehan, L.; Vreden, C.V.; Grant, G.; Whiteford, P.; Petrie, D.; Sim, M.R. Psychological Distress Among People Losing Work During the COVID-19 Pandemic in Australia. medRxiv 2020. [CrossRef] 37. Zhang, S.X.; Wang, Y.; Rauch, A.; Wei, F. Unprecedented disruption of lives and work: Health, distress and life satisfaction of working adults in China one month into the COVID-19 outbreak. Psychiatry Res. 2020, 288, 112958. [CrossRef] 38. Carr, V.J.; Lewin, T.J.; Webster, R.A.; Hazell, P.L.; Kenardy, J.A.; Carter, G.L. Psychosocial sequelae of the 1989 Newcastle earthquake: I. Community disaster experiences and psychological morbidity 6 months post-disaster. Psychol. Med. 1995, 25, 539–555. [CrossRef] [PubMed]
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