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Background: Many people who face adversity, such as disasters, demonstrate resilience. However, less is known about reactions to large scale disasters with longer recovery periods. The concern is that protracted disasters may result in more chronic or accumulated stressors with an uncertain or unknown end point and can exhaust the natural coping methods and ability to rebound. Thus, understanding patterns of longer-term disaster recovery, inclusive of resilience, is needed. Further resilience is not individual specific rather social determinants, such as support networks and available resources, are contributing factors. Methods: The purpose of this study is to improve understanding of mental health and resilience during increased stress, we aim to identify profiles of adaptation and psychological and social determinants that predict membership within predominant symptom groupings. We conducted an exploratory cross-section study (N = 334) with two phases of multivariate analysis. Latent profile models were estimated to identify groups based on depression, anxiety, and resilience scores. The second phase included a step-wise multinomial logistic regression to predict class membership. Results: We identified four distinct groups: 33% of participants were categorized as anxious, 18% depressed, 9% comorbid, and 40% with above average levels of resilience. Psychosocial factors such as demographics, trauma history, information access, loneliness, and lack of financial resources predicted poorer mental health outcomes and lower resilience. Conclusion: This study identified factors that contribute to overall wellbeing despite chronic stressors. Social determinants of adaptation, found in this study population, include loneliness, finances, and information access. The findings from this study support the need for both psychological and social adaption supports, inclusive of mental health treatment, to strengthen resilience activation.

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As the second leading cause of death in teenagers, suicide has been a consistent public health issue for the past decade. Our goal is to understand the relationship between increasing teen suicide rates by state policies. We explore links between macro-level risk factors and state suicide rates. Risk factors explored include state behavioral health spending, child access policies for firearms, insurance coverage, tax revenue from tobacco and alcohol, school spending per pupil, pupil support services funding, and teacher spending. This research shows a relationship between pupil support spending, any child access law, required legislation, and lower teen suicide rates. The results from this study can aid in the understanding of macro-level influences on teen suicide; empowering advocates, lawmakers, and researchers to develop informed interventions and policies. Increasing multi-level understanding around suicide can provide an opportunity to slow or stop suicide rates.

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Health care workers (n = 71) completed an online survey or participated in one of five focus groups. Clinical cutoff scores revealed concerning levels of depression (16%), anxiety, and burnout (49%). Qualitative responses (n = 172) yielded two themes: work environment and well-being. Addressing burnout requires an ecological systems mindset, which accounts for complex stressors present in individual providers' lives (large-scale disasters and personal stressors), agency-level factors (scheduling and workload), and larger social and contextual administrative factors (allocating time for self-care through scheduling and billing codes). (Am J Public Health. 2024;114(S2):S156-S161. https://doi.org/10.2105/AJPH.2023.307478).

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The COVID-19 pandemic that spread throughout the globe has significantly altered our social and personal relationships. During the early phase of the pandemic, pharmaceutical interventions such as vaccine research and production were still in development, with international health agencies and governments promoting public health safety measures such as limiting mobility, school and work closures, lockdowns, economic incentives, mask-wearing, social distancing, quarantine, and hygiene to reduce the spread and flatten the curve regarding transmission and hospitalization. During the early wave (May 2020 through July 2020), we utilized a qualitative longitudinal research design coupled with weekly Zoom diary entries to investigate participant (n = 14) experiences. In doing so, we captured participant attitudes towards public health safety measures, as well as perceptions of social and interpersonal relationships during the pandemic. The main themes that emerged in our findings include feelings of safety and preparedness, personal accountability and collective responsibility, and changes to social life and relationships. While individuals have learned how to live with the pandemic, and have a new sense of normalcy, lessons learned from the impact of public health measures and social relationships have applicability moving forward post-pandemic. In particular, how to best protect against the deleterious effects of isolation during a future public health crisis.

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OBJECTIVE: Currently, there is no single profile of mental health sequela in long-coronavirus disease (COVID) patients, impacting identification, treatment, and exacerbating stigma among this population. This article highlights the rationale for mental health professionals to consider a summary of mental health symptoms in long-COVID patients. METHOD: This article provides an overview of the existing literature regarding the health and mental health impact of long COVID on patients and proposes an approach to conceptualizing mental health symptoms in individuals living with long COVID. This article summarizes the health and mental health impacts of long COVID and underscores the limitations of the current approach to measuring and screening mental health symptoms in long-COVID patients. RESULTS: Long-COVID patients have reported new and worsening mental health symptoms; most frequently reported are depression, anxiety, posttraumatic stress disorder (PTSD), and insomnia. The article concludes by proposing the notion of long-COVID stress symptoms and calls for mental health researchers to identify the unique and complex mental health profiles emerging among this patient population. CONCLUSIONS: Though some long-COVID patients survived life-threatening illnesses and may, therefore, meet the formal criteria for PTSD, many will present with posttraumatic symptomology that mimics PTSD but may not arise from life-threatening medical trauma. A better understanding of the mental health burden of long-COVID stress symptoms is essential to providing efficient and effective mental health treatment, supporting physicians treating long-COVID patients, and enhancing access to and utilization of medical services. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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Introduction and purpose: The geographic location of the Gulf South leaves communities in continuous threat, response, and recovery disaster cycles. Hurricane Katrina in 2005 provided an opportunity to study disaster mental health. Less than 5 years after the storm, many Hurricane Katrina survivors were impacted again by the Deepwater Horizon Gulf oil spill. Despite adversities impacting Gulf communities, over 90% of participants reported they were resilient. The purpose of this study was to improve the understanding of the mechanisms that contribute to strengths following adversity in communities affected by repeated disasters. Specifically, we focused on survivor perceptions of personal, spiritual, or community changes in efforts to describe community resilience and posttraumatic growth (PTG). Methods: Participants were recruited through a quantitative survey and community flyers. Participants represented southeastern Louisiana, in areas impacted by hurricanes and the oil spill-for a total of five focus groups and 41 participants. Focus groups began by asking each participant to provide a brief overview of their disaster survival story and three additional guiding strengths-based questions. Data were transcribed using Dragon Speech Recognition software. A total of 963 unique responses were analyzed and coded. Results: The following themes were identified: connectedness (n = 259), coping (n = 94), spirituality (n = 60), adaptability (n = 47), and self-reliance (n = 23). Participants noted a growth mindset from the disasters and also acknowledged coinciding negative experiences (n = 154) associated with community change and loss, where subthemes included change in connectedness (n = 97), crime (n = 26), and feeling like an outsider (n = 31). Discussion and implications: These findings help scholars and mental health practitioners better understand the lived experiences of PTG in a community of survivors impacted by recurring traumatic experiences. In keeping with previous literature, PTG and negative experiences associated with trauma are not mutually exclusive, but occur simultaneously. Our results offer a holistic picture of coping with cumulative or repeated traumas and suggest that connectedness, coping, and spirituality provide important buffers to negative psychosocial outcomes.

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Qualitative Longitudinal Research (QLR) is an evolving methodology used in understanding the rich and in-depth experiences of individuals over time. QLR is particularly conducive to pandemic or disaster-related studies, where unique and rapidly changing environments warrant fuller descriptions of the human condition. Despite QLR's usefulness, there are a limited number of articles that detail the methodology and analysis, especially in the social sciences, and specifically social work literature. As researchers adjust their focus to incorporate the impact of the COVID-19 global pandemic, there is a growing need in understanding the progression and adaptation of the pandemic on individuals' lives. This article provides a process and strategy for implementing QLR and analyzing data in online diary entries. In the provided case example, we explore a phenomenological QLR conducted with graduate level students during the COVID-19 pandemic (Saltzman et al., 2021), and outline a matrix framework for QLR analysis. This paper provides an innovative way in which to engage in qualitative data collection and analysis for social science research.

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In addition to concern about physical health consequences of COVID-19, many researchers also note the concerning impact on behavioral health and quality of life due to disruption. The purpose of this paper is to explore pathways of COVID-19 behavioral health and quality of life. We found increased anxiety, depression, and alcohol misuse and that the pandemic exacerbated prior problems. Further community indicators also lead to poorer behavioral health and overall decreased quality of life. The nature of COVID-19 and vast reach of the virus suggests that behavioral health concerns should take a primary role in pandemic recovery.

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INTRODUCTION: The COVID-19 pandemic remains a significant mental health crisis. Although empirical research works to better understand the impact of COVID-19 on the mental health of the general population, some groups remain at greater risk for adverse mental health consequences. The purpose of this study is to better understand how COVID-19 experiences, food insecurities, and social support are associated with mental health and well-being for aging populations. METHODS: Data collection began April 1, 2020 and continued through May 22, 2020. Study participants were recruited via website and media promotion and completed an anonymous survey. A sample of adults age 50 years and older (N = 136) were selected for the current analysis. Measures included scales of anxiety, depression, resilience, quality of life, COVID-19 experiences, interdependence, and insecurities. Three stepwise linear regression models were conducted using forward selection were estimated. RESULTS: The first model found food insecurity, community closeness, and COVID-19 experiences predicted 23% of the variance in mental health. The second model found having enough money to meet needs, COVID-19 interdependence, and age predicted 20% of the variance in resilience. The final model found having enough money to meet needs, COVID-19 experiences, community closeness, and information access predicted 45% of the variance in quality of life. DISCUSSION: Our discussion highlights the role of COVID-19 experiences, tangible resource losses, and community connection in mental health outcomes for aging populations during COVID-19. We suggest areas of future research and highlight the important role of technology in both scholarship and practice.

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While much research has focused on the relationship between duration of untreated psychosis (DUP) and clinical outcomes in the first episode psychosis (FEP) patient population, little is known about the individual help-seeking episodes (HSE) that patients undergo before receiving appropriate care. The purpose of this project is to better understand how early referral to FEP-specific care and support system differences affect patients' DUP and engagement with treatment. Data from 50 patients was analyzed at the Early Psychosis Intervention Clinic of New Orleans (EPIC-NOLA) using a modified version of the Pathways to Care Assessments and data captured during clinical care. Patients with their first HSE leading to a referral to EPIC-NOLA (M = 13.3, SD = 11.17) had shorter DUP compared to patients referred after two or more HSEs (M = 29.7, SD = 36. 7), t (38.6) = 2.31, p = .026, 95%CI = 2.0-30.7. One chi-square test revealed a significantly greater proportion of patients referred after one HSE stayed in treatment for 12 months or more. Cluster analysis and independent t-test analyses revealed that patients with hospital pathways (M = 35.00, SD = 39.36) had significantly longer DUP compared to those with self, other and hospital (M = 15.21, SD = 19.07) care pathways. This study supports existing literature that suggest early FEP treatment leads to shortened DUP and longer treatment engagement. Additionally, patients with support systems (people or services) assisting them with help-seeking reach EPIC-NOLA faster, have shorter DUP, and have better treatment engagement.

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OBJECTIVE: This brief report analyzes a first-episode psychosis (FEP) clinic's shift from in-person treatment to the provision of services through telemental health during the 2019 coronavirus disease (COVID-19) pandemic. The feasibility of using this technology was examined by assessing client engagement. METHODS: The authors created and implemented procedures for the clinic's transition to telemental health. Once clients' consents were obtained, the Health Insurance Portability and Accountability Act (HIPAA) compliant platform was used to continue service provision. RESULTS: Client engagement during this period improved compared to that of the same quarter in the previous year. Telemental health was also practical for providing groups and other supportive services to meet clients' needs. CONCLUSION: Telemental health is an effective approach to providing care at an FEP clinic during a pandemic. Successes and lessons learned from the first wave of the pandemic can be used to prevent an uptick in symptoms and sustain engagement for this vulnerable population during the anticipated second wave.

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Communities of color in the United States have been disproportionately impacted by the COVID-19 pandemic. Studies exploring the mental health implications of these disparities have only just begun to emerge. The purpose of this study is to better understand mental health concerns and test whether social determinants of health and COVID-19-related experiences influence these concerns. In April 2020, we launched a community-based survey for adults across the United States. A total of 341 respondents completed the survey, which included questions about demographics, depression, social isolation, work environment, and preexisting mental health conditions. We generated matched controls by adding county data from the Robert Wood Johnson Foundation to our survey. Chi square, Pearson product-moment correlation, point biserial correlation, and logistic regression were estimated. Our analysis revealed that respondents who identified as Latinx, Latin@, or Hispanic were 10 times more likely to meet the threshold score for depression. Similarly, individuals with prior mental health conditions and those who expressed feelings of social isolation due to COVID-19 were 3 times more likely to meet the threshold score for depression. These results confirm our hypothesis that communities of color will likely experience disproportionate mental health impacts of COVID-19-specifically, the mental health sequela that emerge from exposure, cumulative burden, and social isolation. We discuss the implications for expanding access and quality of health and mental health services to address current inequities.

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Natural and technological disasters cause long-term psychological trauma and increase substance use in adults. It is unclear whether these problems also occur in children and whether trauma influences long-term psychological outcomes due to developmental stages at the time of trauma. One community of interest is located in southeastern Louisiana, where, as children, many locals were exposed to Hurricane Katrina in 2005 and the Deepwater Horizon Oil Spill in 2010. We hypothesized individuals exposed to these disasters in early childhood would exhibit higher rates of anxiety, depression, and alcohol use as adolescents than the general population. To test this, we developed a questionnaire with a focus on severity of disaster exposure, indicators of psychological resilience, and current levels of anxiety, depression, and alcohol use. This survey was administered to over 1000 adolescents in local high schools throughout southeastern Louisiana. Structural equation modeling was performed to test correlations and moderation effects. We found disaster exposure was positively associated with trauma-like symptoms and substance use and psychological resilience was negatively related to these outcomes. These findings demonstrate childhood disaster exposure has the potential to cause chronic psychological distress and predispose individuals to substance use later in life. They also suggest resilience may be protective for disaster survivors. Future studies should expand these concepts to other age groups and types of disasters. Whether resilience-focused psychotherapy may be beneficial in these populations is also a relevant topic for exploration.

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Social support plays a key role in well-being, yet one of the major preventative efforts for reducing the spread of COVID-19 involves social distancing. During times of crisis, social support is emphasized as a coping mechanism. This requires many people to change their typical ways of connectedness and assumes that people have existing healthy relationships or access to technology. The purpose of this article was to explore the potential impact of COVID-19 on loneliness and well-being. Social support is an important consideration for understanding the impact of COVID-19 Psychological First Aid and Skills for Psychological Recovery, which are tools used to inform response methods to help people connect during isolation and are interventions that could be adapted to COVID-specific needs for what may be a prolonged isolation and postisolation. Given the many unknowns of COVID-19, studies are needed to understand the larger behavioral health impact to ensure resources are available, current, and evidence informed. Future studies are also needed to understand how access to technology may help buffer loneliness and isolation and thus improve the social outcomes of the current pandemic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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Research from financial stress, disasters, pandemics, and other extreme events, suggests that behavioral health will suffer, including anxiety, depression, and posttraumatic stress symptoms. Furthermore, these symptoms are likely to exacerbate alcohol or drug use, especially for those vulnerable to relapse. The nature of coronavirus disease 2019 (COVID-19) and vast reach of the virus, leave many unknows for the repercussions on behavioral health, yet existing research suggests that behavioral health concerns should take a primary role in response to the pandemic. We propose a 4-step services system designed for implementation with a variety of different groups and reserves limited clinical services for the most extreme reactions. While we can expect symptoms to remit overtime, many will also have longer-term or more severe concerns. Behavioral health interventions will likely need to change overtime and different types of interventions should be considered for different target groups, such as for those who recover from COVID-19, health-care professionals, and essential personnel; and the general public either due to loss of loved ones or significant life disruption. The important thing is to have a systematic plan to support behavioral health and to engage citizens in prevention and doing their part in recovery by staying home and protecting others.

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Standard evaluation practice in public health remains limited to evaluative measures linked to individual projects, even if multiple interrelated projects are working toward a common impact. Enterprise evaluation seeks to fill this policy gap by focusing on cross-sector coordination and ongoing reflection in evaluation. We provide an overview of the enterprise evaluation framework and its 3 stages: collective creation, individual data collection, and collective analysis. We illustrate the application of enterprise evaluation to the Gulf Region Health Outreach Program, 4 integrated projects that aimed to strengthen health care in Louisiana, Mississippi, Alabama, and the Florida Panhandle after the Deepwater Horizon oil spill. Shared commitment to sustainability and strong leadership were critical to Gulf Region Health Outreach Program's success in enterprise evaluation. Enterprise evaluation provides an important opportunity for funding agencies and public health initiatives to evaluate the impact of interrelated projects in a more holistic and multiscalar manner than traditional siloed approaches to evaluation.

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OBJECTIVE: Theorists and researchers have linked resilience with a host of positive psychological and physical health outcomes. This paper examines perceptions of resilience and physical health symptoms in a sample of individuals exposed to multiple community disasters following involvement in integrated mental health services. METHODS: A multiwave naturalistic design was used to follow 762 adult clinic patients (72% female; 28% minority status), ages 18-92 years (mean age=40 years), who were evaluated for resilience and physical health symptoms prior to receiving services and at 1, 3, and 6 months' follow-up. RESULTS: Data indicated increases in perceptions of resilience and decreased physical health symptoms reported over time. Results also indicated that resilience predicted physical health symptoms, such that resilience and physical health symptoms were negatively associated (ie, improved resilience was associated with decreases in physical health symptoms). These effects were primarily observed for those individuals with previous exposure to natural disasters. CONCLUSIONS: Findings provide correlational evidence for behavioral health treatment provided as part of a stepped-care, collaborative model in reducing physical health symptoms and increasing resilience post-disaster. Controlled trials are warranted. (Disaster Med Public Health Preparedness. 2019;13:223-229).

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The Mental and Behavioral Health (MBH) Capacity Project had a mission shared among 4 states to support MBH sustainability along the Gulf Coast. Integration of mental health into undersourced primary health clinics was an important goal of the project. The findings from the collaborative evaluation demonstrate long-term outcomes including the following: community has greater capacity and sustainability for quality health care; better informed and connected communities; and individuals are more informed, connected, and resilient. Lessons learned indicate that improved population health outcomes are possible even in low-income, high-stress regions through intentional and collaborative efforts integrating MBH into primary cares settings.

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BACKGROUND: The Youth Leadership Program (YLP) was created as a school community-university partnership after the devastating effects of Hurricane Katrina. The YLP goal was to support youth and improve by engaging them in disaster recovery initiatives. OBJECTIVES: The purpose of the study was to describe the development of the St. Bernard Parish YLP and evaluate if the program was associated with increasing self-efficacy and decreasing trauma symptoms. Specifically, this study explored how a mental health intervention related to hurricane recovery influenced students' perceived ability to achieve goals, fostering post-disaster self-efficacy. METHODS: The YLP began in 2006, with two major initiatives; data were analyzed before and after YLP activities. Students completed disaster screenings annually, with measures of trauma symptoms and self-efficacy. RESULTS: Findings from this study showed that students who participated in the YLP, compared with peers who did not participate, scored significantly higher on self-efficacy. In addition, an interaction effect revealed that gains in self-efficacy also resulted in reduced trauma symptoms for both groups of students. CONCLUSIONS: The YLP demonstrated how disaster response interventions supporting resilience-based leadership and empowerment influenced students' perceived ability to achieve goals fostering post-disaster resilience. Successful initiatives, such as the YLP, emphasize the importance of parallel and interactive individual, family and community support processes to enhance the recovery experience for both individuals and communities.

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