Sarah R. Lowe

A large body of research has linked disaster exposure to adverse mental and physical health outcomes. Few studies, however, have explored the cumulative impact of exposure to multiple disasters. Participants (N = 8,366) from the National Institute of Environmental Health Sciences Gulf Long‐Term Follow‐Up Study were classified as having been exposed to both, either, or neither Hurricane Katrina and the Deepwater Horizon oil spill (DHOS). Participants also reported on a range of mental and physical health symptoms. Logistic regression models found that participants who were exposed to both disasters had significantly higher odds of probable generalized anxiety disorder, odds ratio (OR) = 1.72, 95% CI [1.52, 1.96]; major depression, OR = 1.53, 95% CI [1.32, 1.77]; and posttraumatic stress disorder, OR = 2.51, 95% CI [2.03, 3.10], than participants who were exposed to only one disaster, ps < .001. Additionally, a linear regression model found that participants who were exposed to both disasters had significantly more physical health symptoms at the time of the spill than those who were exposed to only one disaster, B = 0.99, SE = .20, p < .001. The results indicate that cumulative disaster exposure confers enhanced risk for adverse mental and physical health outcomes. The findings demonstrate that screening for prior exposure among disaster‐affected individuals might identify those at greatest risk for adverse health outcomes.

Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census tracts, applied spatial regimes regression to find associations of discomfort, and used Moran’s I for spatial cluster detection across NYC boroughs over time. We found increased discomfort, that is, bundled negative emotions after the storm as compared to during the storm. Furthermore, pre- and peri-disaster discomfort was positively associated with post-disaster discomfort; however, this association was different across boroughs, with significant associations only in Manhattan, the Bronx, and Queens. In addition, rates were most prominently spatially clustered in Staten Island lasting pre- to post-disaster. This is the first study that determined significant associations of negative emotional responses found in social media posts over space and time in the context of a natural disaster, which may guide us in identifying those areas and populations mostly in need for care.

Prior research has found that Muslim Americans’ discrimination experiences are associated with increased risk of mental health problems. However, few studies have included Muslim American college students or identified moderators of this relationship. Among a sample of Muslim American college students (N = 141), the current study found that perceived discrimination was positively associated with MD and GAD symptom severity. Having a strong Muslim American identity exacerbated the relationship between perceived discrimination and GAD symptoms. The findings support practices to reduce discrimination toward Muslim American college students and the need for outreach to students with a strong Muslim American identity.

Objective: This study aimed to examine factors associated with receipt of post-disaster support from network (eg, family or friends) and non-network (eg, government agencies) sources.Methods: Participants (n=409) were from a population-based sample of Hurricane Sandy survivors surveyed 25-28 months post-disaster. Survivors were asked to imagine a future disaster and indicate how much they would depend on network and non-network sources of support. In addition, they reported on demographic characteristics, disaster-related exposure, post-traumatic stress, and depression. Information on the economic and social resources in survivors’ communities was also collected.Results: Multilevel multivariable regression models found that lack of insurance coverage and residence in a neighborhood wherein more persons lived alone were associated with survivors anticipating less network and non-network support. In addition, being married or cohabiting was significantly associated with more anticipated network support, whereas older age and having a high school education or less were significantly associated with less anticipated network support.Conclusions: By having survivors anticipate a future disaster scenario, this study provides insight into predictors of post-disaster receipt of network and non-network support. Further research is needed to examine how these findings correspond to survivors’ received support in the aftermath of future disasters. (Disaster Med Public Health Preparedness. 2018;12:711-717)

Background: Assaultive violence events are associated with increased risk for adverse psychiatric outcomes, including post-traumatic stress (PTS), depression, and generalized anxiety. Prior research has indicated that economic, legal, and social stressors that could follow assaultive events may explain the increased risk for adverse psychiatric outcomes, yet longitudinal studies have not adequately examined this pathway. In the current study, we aimed to address this limitation.Methods: Participants (N = 1360) were part of a longitudinal population-based study of adults living in Detroit. At three waves, participants indicated their exposure to assaultive violence and economic, legal, and social stressors, and completed inventories of PTS, depression, and generalized anxiety. Longitudinal mediation models were used to test the hypothesized pathway from assaultive violence to each psychiatric outcome.Results: The hypothesized models evidenced good fit with the data and, in each, the paths from Wave 1 (W1) assaultive violence to W2 stressors, and from W2 stressors to W3 symptoms were significant (range of Standardized Estimates: 0.09–0.15, all p < 0.01). Additionally, the indirect paths from W1 assaultive violence to W3 symptoms were significant (range of Standardized Estimates: 0.01–0.02, all p < 0.05).Conclusions: The findings illustrate that the economic, legal, and social stressors that could follow assaultive violence increase risk for a range of psychiatric symptoms. Although future research is needed, the results suggest that investment in interventions that prevent and mitigate assaultive violence survivors’ exposure to such stressors may be an effective way to prevent mental illness in the aftermath of violent assaults.

Disaster recovery work increases risk for mental health problems, yet the mechanisms underlying this association are unclear. We explored links from recovery work to post‐traumatic stress (PTS), major depression (MD), and generalized anxiety disorder (GAD) symptoms through physical health symptoms and household income in the aftermath of the Deepwater Horizon oil spill. As part of the NIEHS GuLF STUDY, participants (N = 10,141) reported on cleanup work activities, spill‐related physical health symptoms, and household income at baseline, and mental health symptoms an average of 14.69 weeks (SD = 16.79) thereafter. Cleanup work participation was associated with higher physical health symptoms, which in turn were associated with higher PTS, MD, and GAD symptoms. Similar pattern of results were found in models including workers only and investigating the influence of longer work duration and higher work‐related oil exposure on mental health symptoms. In addition, longer worker duration and higher work‐related oil exposure were associated with higher household income, which in turn was associated with lower MD and GAD symptoms. These findings suggest that physical health symptoms contribute to workers’ risk for mental health symptoms, while higher household income, potentially from more extensive work, might mitigate risk.

Persons living in communities with limited resources are at heightened risk of posttraumatic stress (PTS) after disasters, especially if they were highly exposed. The support deterrence desistence model and the conservation of resources theory suggest that this risk might increase in the longer‐term aftermath of disasters. In the present study, we aimed to test this hypothesis. Two population‐based samples of New York City residents in communities affected by Hurricane Sandy were surveyed at either 13–16 months (Time 1; n = 421) or 25–28 months (Time 2; n = 420) postdisaster. Participants reported on their exposure to disaster‐related stressors and PTS. The percentage of residents who were unemployed in participants’ census tracts was collected from the 2008–2012 American Community Survey. Multilevel models found that disaster‐related stressors were more strongly associated with PTS for participants living in communities with high unemployment, but only at Time 2 (Est. = .58, SE = .21, p = .006). Mapping of community unemployment and disaster‐related stressors suggested that communities in southern Brooklyn and Queens, and northeastern Staten Island were at particularly high risk for PTS at Time 2. The results suggest the need for ongoing support to economically disadvantaged communities in which residents have endured disaster‐related stressors.

Objective:This study explored predisposing, illness-related, and enabling factors as predictors of mental health service use among disaster survivors with perceived need for services.Methods:Participants (N=658) were part of a three-wave, population-based study of Hurricane Ike survivors. At each wave, participants were asked whether they perceived having a need for mental health services, for example, information about stress reactions and medication for emotional problems. Those with perceived need were asked about use of eight services, such as a psychiatrist or physician, to address needs. Generalized estimating equations examined predisposing, illness-related, and enabling factors as predictors of service use among participants with perceived need (N=304).Results:More general stressors (predisposing factor) and insurance coverage (enabling factor) predicted service use among participants with perceived need.Conclusions:The results suggest that expanded access to services that do not require insurance...