Multilevel Social Mechanisms of Post-Disaster Depression

A cross-disasters comparison of psychological distress: Symptoms network analysis

Large-scale traumatic events have the potential to trigger psychological distress, particularly among those in the affected areas. However, the manifestation of psychological distress may vary across different types of disasters. This study thus aimed to compare the symptoms network structure of psychological distress as assessed by the Kessler Psychological Distress Scale across three types of disasters: Terror (n = 5842), COVID-19 (n = 2428), and a nature-related disaster (n = 1001). Across disasters, two communities representing depression and anxiety symptoms were revealed. However, while after a nature-related disaster and the COVID-19 pandemic depression and anxiety items were interconnected via hopelessness, a terror attack resulted in more separated manifestations of anxiety and depression. Examination of symptom centrality showed that while in the Terror and the COVID-19 networks "depressed/no cheering up" was most connected to other symptoms, for the nature-related disaster network, two items were most central: "depressed/no cheering up" and "restless or fidgety". The results may point to different mechanisms of psychological distress structures after different disasters. Depending on the type of disaster, trauma-focused interventions may require targeted support and treatment.

The necessity to improve disaster preparedness among patients with amyotrophic lateral sclerosis and their families

Disaster preparation is an important issue for patients with amyotrophic lateral sclerosis (ALS). However, to the best of our knowledge, no studies have investigated disaster preparedness among patients with ALS. In this study, we aimed to investigate disaster preparation in patients with ALS and their caregivers, including their families, in Japan. We conducted a nationwide webinar in September 2022 titled "ALS Café" and distributed a self-report questionnaire to participants with questions about awareness of disaster preparedness, social countermeasures, stockpiles, and electricity demand. Forty-eight patients with ALS (27 male; average age 60.0 ± 9.3 years) and 23 caregivers (8 male; 55.7 ± 9.9 years) responded. The median revised ALS Functional Rating Scale score was 30.5, and 25% of the patients with ALS were on a ventilator. More than 70% of the respondents answered that they were not prepared for disasters, increasing to 89% in patients not using ventilators. In the event of their phones being down, 86% of the respondents had no plans for alternative means of communication. <30% of the respondents, including ventilator users, had secured human resources for transportation. Twenty-five percent of the respondents did not stockpile food and beverages, and 12% of the ventilator users had no government-recommended ventilator preparation equipment. Thus, although patients with ALS and their families with ventilators have a high awareness of disaster preparedness, their awareness remains insufficient. Furthermore, patients with ALS and their families without ventilators have a low awareness of disaster preparedness. Therefore, better education regarding disaster preparedness is necessary for these groups.

Rural and Agricultural Natural Disaster Stress and Recovery: A Comparison

This study used a novel survey instrument to evaluate the hypothesis that U.S. agricultural producers have significantly different stress and recovery experiences following acute-onset natural disaster compared to their non-agricultural counterparts. Participants were recruited through local organizations and targeted email and social media in communities in Arkansas and Nebraska that had experienced violent tornadoes in 2014 and/or severe flooding in 2019. The survey instrument incorporated the Brief Resilience Scale, the Revised Impact of Event Scale referencing two time points, the Posttraumatic Growth Inventory-Short Form, and original questions. Demographic, exposure, stress, and recovery measures were analyzed in SAS with Chi-square tests, t-tests, Wilcoxon tests, and multiple linear regression modeling to test for differences between agricultural and non-agricultural groups in resilience, event exposure, stress symptoms in the week after the event, stress symptoms in the month before the survey, a calculated recovery ratio, and posttraumatic growth. Analysis sample (N = 159) contained 20.8% agricultural occupation, 71.1% female, and 49.1% over age 55. No significant differences were found between agricultural and non-agricultural participants when comparing resilience, stress, or recovery ratio measures. Unadjusted posttraumatic growth score was significantly lower in the agriculture group (P = .02), and an occupation group by sex interaction was significantly associated with posttraumatic growth score (P = .02) when controlled for number of initial posttraumatic stress symptoms in the adjusted model, with agricultural women showing lower growth. Overall, there was no evidence of significant difference in disaster stress and recovery between agricultural and rural, non-agricultural groups in this study. There was some evidence that women in agriculture may have lower levels of recovery. Data indicated that rural residents continue to experience posttraumatic-type symptoms up to 8 years beyond the acute-onset natural disaster events. Communities should include strategies to support mental and emotional health in their preparedness, response, and recovery plans with intentional inclusion of agricultural populations.

Disaster Mental Health Risk Reduction: Appraising Disaster Mental Health Research as If Risk Mattered

The globally increasing frequency, intensity, and complexity of extreme climatic events and disasters poses significant challenges for the future health and wellbeing of affected populations around the world [...].

Resource allocation, individual social network, community trust and recovery from depression among rural survivors in the Wenchuan Earthquake

Using the three-wave longitudinal survey data of the Wenchuan disaster area, this study employed Hierarchical Linear Modeling (HLM) to explore the recovery trajectory from depression of rural survivors after the Wenchuan earthquake. Across the three waves, 221 respondents (118 male, 103 female) provided complete data. We found that, at the individual level, the survivors' individual social networks had a significant effect on the change in depression scores in the four years following the earthquake, implying that a strong social network could help survivors recover from depression. At the community level, community trust had a significant effect both on the initial depression score at the time of the earthquake and on the survivors' change in depression scores after the earthquake. Survivors with high community trust had significantly lower depression scores, compared with those with low community trust at the time of the earthquake; however, the depression scores of the former increased in the four years following the earthquake and gradually approached the average depression level. At the social level, relief resource allocation also had a significant effect on the change in survivors' post-disaster depression; those who deemed the resource allocation to be very fair had a decrease in depression scores. The results of our study show that rich individual social networks and allocation of relief resources contribute to earthquake survivors' recovery from depression. Therefore, besides providing more adequate relief resources to survivors, we should also emphasize the rebuilding of their social networks.