Public safety personnel (PSP) encounter traumatic events in their workplace, elevating the likelihood of mental health issues. Delivering efficient, evidence-backed interventions, like supportive SMS text messaging programs, can significantly enhance PSPs’ mental well-being, garnering high user satisfaction rates.

This study evaluates users’ satisfaction, receptiveness, and perceptions of the supportive SMS text messaging intervention (Text4PTSI).

Participants enrolled in the Text4PTSI program and received one-way cognitive behavioural–based supportive text messages for six months. They participated in a web-based survey delivered through SMS text messages at enrollment, six weeks, three months, and six months after enrollment. The participants’ perceptions and receptiveness of the program were evaluated through a 5-point Likert scale. Data were represented as categorical variables, and overall satisfaction with the Text4PTSI program was assessed on a scale ranging from 0 to 100.

Of the 131 Text4PTSI program subscribers, 81 participants responded to the survey, yielding 100 responses across the three follow-up time points. The average satisfaction score was 85.12 (SD 13.35). A significant portion of respondents, constituting 79%, agreed or strongly agreed that Text4PTSI helped them manage anxiety. Additionally, 72% reported relief from depressive symptoms, and 54% (54 out of 100 responses) felt less lonely. Moreover, the majority (84%) of participants expressed that Text4PTSI connected them to a support system, improving their mental well-being, felt more hopeful about managing concerns about their mental health or substance use (82%), and helped enhance their overall quality of life (77%). The data also revealed that most participants consistently read the supportive text messages (84 out of 100 responses, 84%), took time to contemplate each message (75 out of 100 responses, 75%), and revisited the messages more than once (76 out of 100 responses, 76%).

PSP participating in the 6-month Text4PTSI intervention expressed significant satisfaction and gratitude in the follow-up surveys. Their positive feedback indicates a promising path towards increased service utilization, potentially enhancing its effectiveness and impact on end users.

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Emergency psychiatric care, unplanned hospital admissions, and inpatient health care are the costliest forms of mental health care. According to Statistics Canada (2018), almost 18% (5.3 million) of Canadians reported needing mental health support. However, just above half of this figure (56.2%) have reported their needs were fully met. To further expand capacity and access to mental health care in the province, Nova Scotia Health has launched a novel mental health initiative, the Rapid Access, and Stabilization Program (RASP).

This study evaluates the effectiveness and impact of the RASP on high-cost health services utilization (e.g. ED visits, mobile crisis visits, and inpatient treatments) and related costs. It also assesses healthcare partners’ (e.g. healthcare providers, policymakers, community leaders) perceptions and patient experiences and satisfaction with the program and identifies sociodemographic characteristics, psychological conditions, recovery, well-being, and risk measures in the assisted population.

This is a hypothesis-driven program evaluation study that employs a mixed methods approach. A within-subject comparison will examine health services utilization data from patients attending RASP, one year before and one year after their psychiatry assessment at the program. A controlled between-subject comparison will use historical data from a control population will examine whether possible changes in high-cost health services utilization are associated with the intervention (RASP). The primary analysis involves extracting secondary data from provincial information systems, electronic medical records, and regular self-reported clinical assessments. Additionally, a qualitative sub-study will examine patient experience and satisfaction, and examine health care partners’ impressions.

The results for the primary, secondary, and qualitative outcome measures to be available within 6 months of study completion. We expect that RASP evaluation findings will demonstrate a minimum 10% reduction in high-cost health services utilization and corresponding 10% cost savings, and also a reduction in the wait times for patient consultations with psychiatrists to less than 30 calendar days. In addition, we anticipate that patients, healthcare providers, and healthcare partners would express high levels of satisfaction with the new service.

This study will demonstrate the results of the Mental Health and Addictions Program (MHAP) efforts to provide stepped-care, particularly community-based support, to individuals with mental illnesses. Results will provide new insights into a novel community-based approach to mental health service delivery and contribute to knowledge on how to implement mental health programs across varying contexts.

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Transitioning from mental health inpatient care to community care is often a vulnerable time in the treatment process where additional risks and anxiety may arise.

The objective of this paper was to evaluate the progression of mental health symptoms in patients six weeks after their discharge from the hospital as the first phase of an ongoing innovative supportive program. In this study, factors that may contribute to the presence or absence of anxiety and depression symptoms, and the quality of life following a return to the community were examined. The results of this study provide evidence and baseline data for future phases of the project.

An observational design was used in this study. We collected sociodemographic and clinical data using REDCap at discharge and six weeks later. Anxiety, depression, and well-being symptoms were assessed using the Generalized Anxiety Disorder (GAD-7) questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the World Health Organization-Five Well-Being Index (WHO-5) respectively. Descriptive, Chi-square, independent T-test, and multivariate regression analyses were conducted.

The survey was completed by 88 participants out of 144 (61.1% response rate). A statistically non-significant reduction in anxiety and depression symptoms was found six weeks after returning to the community based on the Chi-squared/Fisher exact test and independent t-test. As well, the mean anxiety and depression scores showed a non-significant marginal reduction after discharge compared to baseline. In the period following discharge, a non-significant increase in participants experiencing low well-being symptoms was observed, as well as a decline in the mean well-being scores. Based on logistic regression models, only baseline symptoms were significant predictors of symptoms six weeks after inpatient discharge.

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In the short term following hospital discharge, no significant changes were observed in mental health conditions. A collaboration between researchers and policymakers is essential for the implementation and maintenance of effective interventions to support and maintain the mental health of patients following discharge.

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Hundreds of fires have been burning from coast to coast across the country since March 2023, putting Canada on track to experience the worst wildfire season ever. From East to West, provinces such as Quebec, Ontario, Nova Scotia, Alberta, and British Columbia have been particularly affected by large and uncontrollable wildfires.

This study aimed to determine the prevalence and predictors of depression symptoms among residents of Alberta and Nova Scotia during the Canadian wildfires of 2023.

This study conducted a cross-sectional quantitative survey for data collection. In the period between 14th May and 23rd June 2023, an online survey was administered using REDCap. Through the Text4Hope program, participants subscribe to receive supportive SMS messages daily. After the first message, participants were invited to complete an online questionnaire, containing demographic information, wildfire-related information, and responses to the Patient Health Questionnaire-9 (PHQ-9) for depression assessment. SPSS version 25 was used to analyze the data. Descriptive, univariate, and multivariate regression analyses were employed.

A total of 298 respondents completed the online survey out of 1802 who accessed it, resulting in a response rate of 16.54 %. Most of the respondents were females (85.2%, 253), below 40 years of age (28.3%, 84), employed (63.6%, 189), and in a relationship (56.4%, 167). A historical depression diagnosis (OR = 3.15; 95% CI: 1.39–7.14) was a significant predictor of moderate to severe MDD in our study. While employment status did not significantly predict MDD, unemployed individuals were two times more likely to report moderate-to-severe symptoms of MDD than employed individuals (OR = 2.46; 95% CI: 1.06–5.67). Among the total sample population, the moderate to severe MDD prevalence was 50.4%, whereas it was 56.1% among those living in wildfire-affected areas.

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As a result of our study, the development of moderate to severe MDD symptoms during wildfire disasters was significantly associated with a history of depression diagnosis. Although employment status did not significantly predict MDD, unemployed individuals had a greater likelihood of experiencing moderate-to-severe symptoms than employed individuals. Further research is necessary to ascertain reliable predictors of mental health issues among those who have experienced disasters, as well as to offer appropriate interventions and treatment options to the communities and individuals who are most vulnerable.

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Public safety personnel (PSPs) often suffer from mental health issues due to the challenging and intricate nature of their work. Various barriers may prevent them from seeking necessary support and treatment. Therefore, implementing innovative and cost-effective interventions can potentially enhance the mental well-being of PSPs.

The study sought to assess the influence of the Text4PTSI program on symptoms of depression, anxiety, trauma, and stress, as well as the resilience of public safety personnel after six months of receiving supportive text message intervention.

PSP subscribed to the Text4PTSI program and received daily supportive l SMS text messages for six months. Participants were invited to complete standardized self-rated web-based questionnaires to assess depression, anxiety, posttraumatic stress disorder (PTSD), and resilience symptoms measured on the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 scale (GAD-7), Posttraumatic Stress Disorder Checklist-Civilian Version (PCL-C), and the Brief Resilience Scale (BRS), respectively. The assessment of mental health conditions was conducted at enrolment, six weeks, three months, and six months after enrollment.

One hundred and thirty-one subscribers participated in the Text4PTSI program. A total of 31 participants completed the baseline survey, and 107 total surveys were recorded at all follow-up time points. The baseline prevalence of likely major depressive disorder (MDD) was 47.1%, likely generalized anxiety disorder (GAD) was 37.5%, low resilience was 22.2%, and likely PTSD was 13.3%. At six months post-intervention, the prevalence of psychological conditions. There was a decrease in the mean scores on the PHQ-9, GAD-7, PCL-C, and the BRS from baseline to post-intervention by 25.8%, 24.7%, 9.5%, and 0.3%, respectively. However, the decrease was only statistically significant for the mean change in GAD-7 scores with a low effect size (t (15) = 2.73, p = 0.02).

The results of this study suggest a reduction in the prevalence of likely MDD as well as the severity of anxiety symptoms from baseline to post-intervention for subscribers of the Text4PTSI program. The program has the potential to complement existing services, aiding in mental health support for public safety personnel.

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Wildfire disasters have become increasingly rampant. There is a critical need for all to fully understand the mechanism and impact of these disasters on humans, with a special emphasis on the mental health effects they pose on the affected individuals and communities. This article specifically presents a scoping review of the psychological reactions of children and adolescents post-wildfire disaster.

This review aims to synthesize currently available literature regarding the impact of wildfire on mental health, specifically the psychological reactions of children to wildfires.

We identified 8 research articles using 6 databases for this review. Data extraction was performed using a qualitative descriptive approach.

The results identified post-traumatic stress disorder (PTSD), anxiety, depression, stress, alcohol/substance misuse, hopelessness, low resilience, reduced quality of life, and self-esteem as the psychological conditions manifesting in children and adolescents post-wildfire disaster. PTSD was the most evaluated psychological reaction in the participants (7 out of eight studies).

This review highlights that deleterious mental health effects, such as PTSD, depression, anxiety, and suicidality, can persist in children for years post-wildfire disaster. Factors such as gender, direct exposure to the wildfire, re-traumatization, and resilience informed or ameliorated the severity of the impact of wildfire on children and adolescents. Our findings further emphasize the need for multi-year funding and programs to support children and adolescents’ mental health, including children with disabilities in the communities that have experienced wildfire disasters.

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One of the biggest global crises in our generation is the COVID-19 pandemic. It has had a severe and far-reaching negative impact on our health systems, economies, and societies. Older adults were particularly at higher risk of severe illness, isolation from social distancing measures, and concerns about their health.

The objective of this study is to evaluate the impact of the daily supportive text message program (Text4Hope) on the levels of stress, anxiety, and depression experienced by elderly subscribers during the COVID-19 pandemic in Alberta six weeks after enrollment.

An online survey link was used to gather demographic and clinical information on several self-report scales, such as the Perceived Stress Scale (PSS) ≥ 14 and Generalized Anxiety Disorder 7-item (GAD-7). Scale ≥ 10, and Patient Health Questionnaire-9 (PHQ-9) ≥ 10. Descriptive and inferential statistics were run using SPSS version 25.

172 subscribers out of 1136 completed baseline and six weeks using an online questionnaire, giving a response rate of 15.1%. There were significant reductions in mean scores on the PSS-10 and GAD-7 scales at six weeks compared to baseline (P>.05), but not on the PHQ-9 scale. There were also significant reductions in the prevalence of moderate or high stress (68.6% vs 60.5%, p=0.036) and likely GAD (14.9% vs 22.7%, p=0.029) from baseline to six weeks, with the highest reduction in stress (8.1%). A change (27.6% to 25.2%) in the prevalence of likely MDD from baseline to six weeks was insignificant. (P>.05)

This study’s findings show a decrease in the prevalence rates and the mean scores for stress and anxiety on standardized scales, indicating an improvement from baseline to six weeks. This outcome has potential implications for planning an intervention to meet the mental health needs of the elderly in similar situations like the pandemic

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The transition from hospital to community settings for most mental health service users is often hindered by challenges that affect community adjustment and continuity of care. The first few weeks and days after discharge from mental health inpatient units represent a critical phase for many service users.

This paper aims to evaluate the changes in quality of Life status, resilience, and personal recovery of individuals with mental health challenges recently discharged from acute mental health care into the community.

Data for this study were collected as part of a pragmatic stepped-wedge cluster-randomized, longitudinal approach in Alberta. A paired sample t-test and Chi-squared/Fisher test were deployed to assess changes from baseline to six weeks in the recovery assessment scale (RAS), brief resilience scale (BRS), and EuroQol-5d (EQ-5D), using an online questionnaire.

A total of 306 service users were recruited, and 88 completed both baseline and six weeks, giving a response rate of 28.8%. There was no statistically significant change in the level of resilience, recovery and quality of life as measured with the brief resilience scale, recovery assessment scale and EQ-5D from baseline to six weeks (p > 0.05).

The study showed that there was neither an improvement nor deterioration in resilience, recovery, or quality of life status of service users six weeks post-discharge from inpatient mental health care. The lack of further progress calls into question whether the support available in the community when patients leave inpatient care is adequate to promote full recovery.

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Raging wildfires are rising in diverse areas, leading to significant environmental and psychological repercussions that are drawing growing concern.

This study seeks to assess the prevalence of likely Generalized Anxiety Disorder (GAD) and investigate the factors contributing to its occurrence amidst the wildfires in Alberta and Nova Scotia.

Data were collected online through a cross-sectional survey from May 14 to June 23, 2023. Alberta and Nova Scotia participants self-subscribe to the program by texting ‘HopeAB’ or ‘HopeNS’ to a designated short code, respectively. The GAD-7 validated scale assessed likely GAD symptoms among the participants.

There were 298 respondents in this study, with a majority residing in Alberta/Nova Scotia areas affected by recent wildfires (62.3%). Among the respondents, 41.9% were likely to experience Generalized Anxiety Disorder (GAD) symptoms. Those living in regions recently impacted by wildfires in Alberta/Nova Scotia were found to be twice as likely to have GAD symptoms, with an odds ratio of 2.4 and a confidence interval of 95% ranging from 1.3 to 4.3.

The study’s findings highlight a relationship between living in areas affected by wildfires and the likelihood of experiencing generalized anxiety disorder (GAD). Exploring potential predictors through additional research could aid in developing strategies to alleviate the mental health impact of natural disasters.

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Many mental health conditions, including anxiety, mood disorders, and depression, can be effectively treated at a relatively low cost. Exercise interventions can be a therapeutic strategy, but even though exercise has consistently been shown to improve physical health, cognitive function, and psychological well-being, as well as reduce depression and anxiety symptoms, this intervention is often neglected in mental health care services.

The study aims to assess the feasibility of incorporating an Exercise Intervention Program (EIP) as a therapeutic pathway within the Mental Health and Addictions Program (MHAP) in Nova Scotia, as well as to evaluate the effectiveness of the program on mental health outcomes and incremental costs, and the patient acceptability and satisfaction with the program.

This proof-of-concept study has a pragmatic, prospective, controlled observational design with an embedded one-phase qualitative component. Patients with a primary diagnosis of depression or anxiety attending the Rapid Assessment and Stabilization Program (RASP, Halifax, Nova Scotia, Canada) will be offered to receive 60-minute exercise sessions three times per week, per 12 weeks. Patients with similar mental health conditions that have opted to wait for Cognitive Behavioral Therapy (CBT) with the community provider and declined from the EIP will be part of the control group. A certified recreational therapist will conduct the EIP. Participants of both groups (EIP and control condition) will be assessed at baseline and then weekly for four weeks, six weeks and then at 12 weeks post-enrollment. Primary outcomes include differences in the mean change in functional (well-being, resilience, and recovery) and symptom variables (depression, anxiety, and suicidal risk), which will be assessed through online validated scales/questionnaires. Service variables (patient acceptance and satisfaction) and health care utilization (crisis calls, emergency department visits, hospital admissions and readmissions, length of stay for each admission) will comprise the secondary outcomes.

The results of the study will provide information about the effectiveness of EIP in the treatment of anxiety and depression compared to those only wait-listed to receive CBT or counselling from a CMHA provider. The study will also inform about the acceptability and satisfaction of the EIP, as well as the incremental cost-effectiveness of the intervention compared to the control condition.

This proof-of-concept study will demonstrate the effectiveness of EIP as an adjunctive or alternative therapeutic option for the treatment of anxiety and depression in patients seeking mental health support from the MHAP in Nova Scotia.

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Health science students in post-secondary institutions experience high levels of depression and anxiety due to increased stress levels, workload, low socioeconomic status, and history of family mental illness, among other factors. Given the significant negative impact that depression and anxiety can have on undergraduate health science students, it is essential to understand the prevalence and correlation of these conditions in this population.

This scoping review aims to identify, document and analyze the literature on the prevalence and determinants of anxiety and depression among undergraduate health sciences students and identify gaps in knowledge for future research.

The scoping review was planned and executed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for the Scoping Reviews statement. A comprehensive and systematic search was carried out for five databases, namely MEDLINE, Scopus, EMBASE, CINAHL and PubMed.

From the literature identified by our search strategy, the lowest prevalence for anxiety was 5.8%, and the highest was 82.6%, with a median of 44.25%. The prevalence of depression ranged from a high of 88.8% to a low of 2.1%, with a median value of 34.8%. Our analysis revealed that correlates of anxiety and depression among health science students include sociodemographic factors such as age, sex, gender, relationships, ethnicity and family history, personal health conditions, and academic and socioeconomic issues.

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With the high incidence of anxiety and depression among health science students, there is an increasing need to find practical remedies to support these students. It is also essential for policymakers and university authorities to implement interventions such as supportive text messages and other strategies geared toward providing support and improving the psychological well-being of health science students.

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The recent wildfires in Canada provide a clear illustration of the significant and lasting damage they inflict on the well-being of individuals and communities. Evaluating the occurrence and factors associated with post-traumatic stress disorder (PTSD) and low resilience is valuable for policymakers in public health.

The study aimed to assess the prevalence and predictors of low resilience and likely PTSD among subscribers of Text4Hope, an e-mental health program that delivered daily supportive messages to residents of Nova Scotia (NS) and Alberta (AB) during the recent wildfires.

Data collection was through a self-administered online survey completed by residents of the affected regions of NS and AB from May 14 to June 23, 2023. Data were analyzed using Statistical Package for the Social Sciences.

Out of 298 respondents, the prevalence of low resilience and likely PTSD in our sample were 52.0% and 39.3% respectively. Unemployed respondents were about 3 times more likely to experience both low resilience and PTSD symptoms compared to those employed. Respondents with a history of mental health diagnosis were about 4 times more likely to experience likely PTSD compared to those with no history of mental health diagnosis.

This research demonstrated that the likelihood of PTSD was predicted by both unemployment and a history of mental health diagnosis, with unemployment also being linked to low resilience during the wildfire. These results provide valuable insights for designing clinical interventions and developing psychosocial support programs tailored for vulnerable populations.

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The COVID-19 pandemic has produced negative mental health outcomes, which were more prominent in vulnerable communities, such as Fort McMurray (FMM), the community that experienced prior similar disasters.

This study aimed to examine the likelihood and correlates of anxiety symptoms among FMM residents, during the COVID-19 pandemic.

A cross-sectional online survey questionnaire was applied between 24 April and 2 June 2021, at FMM community to gather a set of data, including sociodemographic, COVID-19, and clinical information. Generalized anxiety disorder was the main outcome of the study, and was measured using GAD-7 scale.

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 (132, 71%). The prevalence of moderate-to-severe anxiety was (42.5%, 71) on GAD-7 self-reported scale. Subscribers who reported that they would like to receive mental health support; have received no family support since COVID-19 declaration; and have lost their job during the pandemic were all more likely to report moderate-to-severe anxiety (OR = 3.39; 95% CI: 1.29-8.88), (OR = 4.85; 95% CI: 1.56-15.03), and (OR = 4.40; 95% CI: 1.01-19.24), respectively.

Anxiety levels were high among FMM residents, compared to levels before COVID-19. Clinical and social factors related to the COVID-19 pandemic significantly predicted likely anxiety among Fort McMurray population. It is imperative to mobilize resources to support vulnerable communities during the COVID-19 pandemic.

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Problematic substance use is rising, and other mental health conditions like anxiety and depression correlate with substance abuse. Diverse interventions to reduce this effect are emerging. Supportive text messages offer the prospect of improving symptoms of drug misuse and other associated comorbidities.

The study aims to evaluate the impact of the Text4Hope-Addiction program in mitigating craving, anxiety, and depression symptoms in subscribers.

Individuals self-subscribe to Text4Hope Addiction program by texting “Open2Change” to 393939 to receive daily addiction-related text messages for three months. Subscribers are invited via text message to complete online questionnaires which assess cravings, anxiety, and depressive symptoms using the Brief Substance Craving Scale, Generalized Anxiety Disorder-7 Scale, and Patient Health Questionnaire-9 on subscription (baseline), six weeks and three months. Data were analyzed using SPSS version 25 with descriptive and inferential statistics. Satisfaction responses were used to assess various aspects of the Text4Hope- Addiction program.

There was a significant difference in the mean baseline and three-month BSCS scores ( -2.17, 95% CI of -0.62 to -3.72), PHQ-9 scores (-5.08, 95% CI of -1.65 to -8.51), and the GAD-7 scores (-2.93, 95% CI of -0.48 to -5.56). Participants agreed that the supportive text messages helped them cope with addiction-related stress (89%), anxiety (81%) and depression (69%).

The Text4Hope-Addiction program effectively reduced cravings, anxiety, and depression among subscribers, with high satisfaction rates for the program. Healthcare practitioners and policymakers should consider implementing supportive text-based strategies to complement conventional treatments for addiction.

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As a result of the wildfire that engulfed Fort McMurray (FMM), Alberta, Canada in May 2016, over 90,000 residents were evacuated from the city. Approximately 2400 homes, or 10% of the housing stock, were destroyed in Fort McMurray. About 200,000 hectors of forest were destroyed by the fire, which reached into Saskatchewan. In the aftermath of a major disaster, a community’s infrastructure is disrupted, and psychological, economic, and environmental effects can last for many years.

Intensive research was conducted in Fort McMurray five years after the wildfire disaster to determine the prevalence of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) among residents of the community and to determine the demographic, clinical, and other risk factors of probable MDD and PTSD.

An online questionnaire administered via REDCap was used to collect data in a quantitative cross-sectional study between 24 April and 2 June 2021. Patients were asked to complete the Patient Health Questionnaire (PHQ-9) in order to assess the presence of symptoms associated with MDD. An assessment of likely PTSD in respondents was conducted using the PTSD Checklist for DSM-5 (PCL-C). In this study, descriptive, univariate, and multivariate regression analyses were conducted.

Out of 249 people who accessed the survey link, 186 completed it (74.7% response rate). There was a median age of 42 among the subscribers. A majority of the sample consisted of 159 (85.5%) females; 98 (52.7%) over the age of 40; 136 (71%) in a relationship; and 175 (94.1%) employed. Our study sample had an overall prevalence of 45.0% (76) of MDD symptoms. The multivariate logistic regression model revealed four variables that were independently associated with MDD symptoms, including being unemployed, diagnosed with MDD, taking sedative-hypnotics, and willingness to receive mental health counseling. A total of 39.6% of our respondents (65) reported having likely PTSD. Three independent variables: received a mental health depression diagnosis from a health professional, would like to receive mental health counseling, and have only limited or no support from familycontributed significantly to the model for predicting likely PTSD among respondents while controlling the other factors in the regression model.

The findings of this study indicate that unemployment, the use of sleeping pills, the presence of a previous depression diagnosis, and the willingness to seek mental health counseling are significant factors associated with the increase in the prevalence of MDD and PTSD following wildfires. Support from family members may prevent these conditions from developing.

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The Coronavirus disease (COVID-19) pandemic affected the mental health of many individuals, especially vulnerable communities, who have experienced multiple traumas.

To examine the prevalence and associated factors of likely major depressive disorder (MDD) among inhabitants of Fort McMurray.

A study adopted a cross-sectional design, and questionnaires were distributed online. Sociodemographic, COVID-19-related, and clinical data were obtained. The Patient Health Questionnaire (PHQ-9) scale was used to assess likely MDD. SPSS version 25 used employed to analyze the data.

The prevalence of likely MDD among participants was 45%. Participants who desire mental health counselling are more likely to exhibit depression symptoms during the COVID-19 pandemic (OR = 5.48; 95% CI: 1.95–15.40). History of depression (OR = 4.64; 95% CI: 1.49–14.44) and hypnotics (OR = 5.72; 95% CI: 1.08–30.30) were more likely to experience depression symptoms during the pandemic than other participants without a history. Participants who received absolute support from the employer (OR = 3.50; 95% CI: 1.24–9.82) were protective against depression symptoms amid the pandemic.

Clinical factors and employer support are associated with depression symptoms during the pandemic. Communities that have experienced multiple traumas need to reduce any psychopathology, and governmental bodies need to implement holistic policies to increase support to individuals during traumatic eras like the CVID-19 pandemic.

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The Fort McMurray wildfire (2016) was one of the most expensive and devastating natural disasters that ever happened in the history of Canada. According to the Insurance Bureau of Canada (2016), the cost of this disaster was estimated at USD 3.6 billion in insured losses. Despite the fundamental role of resilience in the daily functioning of individuals in the form of a protective shield that ameliorates the devastating impact of disasters on their mental well-being, to date, the long-term impact of wildfires on resilience and its associated predictors of low resilience has not been well studied and evaluated.

The study aimed to enhance the understanding of the psychological impact of wildfires through the evaluation of the prevalence and predictors of resilience among the affected residents of Fort McMurray five years after the devastating wildfires.

This study applied a cross-sectional survey design which was used to gather quantitative data through an online-based self-administered questionnaire. The surveys included standardized rating scales for resilience (BRS), depression (PHQ-9), anxiety disorder (GAD-7), and post-traumatic stress disorder (PTSD) (PCL-C) was used to measure the prevalence of resilience and its demographic, clinical, as well as wildfire-related predictors. The data collection spanned between April and June of 2021. Data were analyzed using the Statistical Package for Social Sciences (SPSS) version 25 and univariate analysis with done using a chi-squared test and binary logistic regression analysis.

A total of 249 residents accessed the online survey and 186 completed the survey. Therefore, there was a response rate of 74.7%. Most of the respondents were females (85.5%, 159), above 40 years of age (81.6%, 80), employed (94.1%, 175), and in a relationship (71%, 132). The study identified two variables, thus having PTSD symptoms (OR = 2.85; 95% CI: 1.06–7.63), and the age of respondents significantly predicted low resilience in our sample. The prevalence of low resilience in our sample was found to be about 37.4%.

The study finding demonstrated that age and the presence of PTSD were the independent significant risk factors associated with low resilience in the affected population of Fort McMurray five years after the devastating wildfire disaster. This result further provides new information about the association between resilience, demographic, and clinical characteristics while adding to the rising body of evidence on the benefits of resilience in individuals during and after disasters. However, further research is needed to enhance understanding of the pathways to

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As a result of the floods in Fort McMurray (FMM) and the surrounding area in 2020, more than $228 million in insured damage was sustained, over 1200 structures were damaged, and more than 13,000 people were evacuated from their homes.

The aim of the study was to determine the prevalence of post-traumatic stress disorder (PTSD)-like symptoms among the population of FMM one year after the flood in 2020 and the risk predictors associated with such symptoms.

In order to collect sociodemographic, clinical, and flood-related information from residents of FMM via REDCap, an online quantitative cross-sectional survey was administered between April 24 and June 02, 2021. Respondents were assessed for probable PTSD using the PTSD Checklist for DSM-5 (PCL-C).

An overall response rate of 74.7% was achieved among 186 of 249 respondents. The prevalence of likely post-traumatic stress disorder was 39.6% (65). There was a significantly increased likelihood of developing PTSD symptoms in respondents with a history of depression (OR= 5.71; 95% CI: 1.68 - 19.36). As well, disaster responders experiencing limited and no family support after the disaster were more likely to report PTSD symptoms (OR= 2.87; 95% CI: 1.02 - 8.05) and (OR= 2.87; 95% CI: 1.06 - 7.74), respectively.

As a result of our study, we found that those who had a history of depression and had sought health counseling were significantly more likely to develop PTSD symptoms following flooding, while those with family support were less likely to suffer from PTSD symptoms. There is a need for further studies to investigate the relationship between the need for counseling and the presentation of potential symptoms of post-traumatic stress disorder.

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Fort McMurray, a city in northern Alberta, Canada, has experienced multiple traumatic events in the last five years, including the 2016 wildfire, the 2020 floods, and the COVID-19 pandemic. Traumatic events often lead to increased mental health burdens in affected communities.

To assess if the number of traumatic events experienced by residents of Fort McMurray correlates with the prevalence and severity of mental health issues experienced.

A cross-sectional study using an online survey questionnaire was used to gather demographic, trauma (wildfire, flooding, and COVID-19), and clinical information from the resident of Fort McMurray between April 24 to June 2 2021. Likely Generalized Anxiety Disorder (GAD), Major Depressive Disorder (MDD), Post-Traumatic Stress Disorder (PTSD) and low resilience were measured using standardized rating scales. Data were analyzed with SPSS version 26 using Chi-Square tests and multivariate regression analysis.

Respondents who experienced COVID-19 and either flood or wildfire traumas (N = 101) were eleven times more likely to have GAD symptoms (OR: 11.39; 95% CI: 1.43-91.04), four times more likely to have likely MDD, (OR: 3.85; 95% CI: .995-14.90), ten times more likely to have likely PTSD (OR: 10.47; 95% CI: 1.28-85.67), and low resilience (OR: 10.56; 95% CI: 1.21-92.17). Respondents who experienced COVID-19, flooding, and wildfire traumas (N = 47) were eighteen times more likely to express GAD symptoms (OR: 18.30; 95% CI: 2.20-152.45) and more than eleven times likely to have likely PTSD (OR: 11.41; 95% CI: 1.34-97.37) in comparison to the respondents who experienced COVID-19 only trauma (N = 19).

Measures to reduce climate change and associated natural disasters could reduce the impact of cumulative trauma and associated mental health burden in vulnerable populations. It is essential that more mental health resources are mobilized to support communities impacted by multiple natural disasters.

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The flood in Fort McMurray (FMM) which occurred between April 26 and May 2, 2020, is known to have displaced an estimated population of 1,500 people, and destroyed or damaged about 1,230 buildings. In all, it is estimated to have caused about $228 million in losses.

This study aims to identify the determinants of likely Generalized Anxiety disorder (GAD) among respondents 12 months after the 2020 flooding

Data for the study were collected through a cross-sectional survey sent through REDCap and hosted online from the 24th of April to the 2nd of June 2021. The self-administered questionnaire was emailed to respondents using community, government, school, and occupational platforms. Demographic, flooding-related variables and clinical data were collected. A validated instrument, the GAD-7 was used to collect information on likely GAD. Consent was implied by completing the survey forms, and the University of Alberta Health Research Ethics Committee approved the study.

Of the 249 residents surveyed, 74.7% (186) respondents completed the online survey, 81.6% (80) were above 40 years, 71% (132) were in a relationship, 85.5% (159) were females, and 94.1% (175) were employed. The prevalence of likely GAD was 42.5% in our study. Predictors of likely GAD among respondents included positive employment status (OR = 30.70; 95% C.I. 2.183–423.093), prior diagnosis of depression (OR = 3.30; 95% C.I. 1.157–9.43), and the perceived need to have mental health counseling (OR = 6.28; 95% C.I. 2.553–15.45).

This study showed that there was an increased magnitude of moderate to high anxiety symptoms among respondents following the natural disaster, particularly the flood in 2020. The predictors of likely GAD include positive employment status, a history of depression diagnosis, and the need to have mental health counseling. Policy formulators may reduce the risk of anxiety after flooding in vulnerable areas by addressing these factors.

None Declared