Behavioral Health of Gulf Coast Residents 6 Years After the Deepwater Horizon Oil Spill: The Role of Trauma History

Aging and Emotional Well-Being After Disasters: Vulnerability and Resilience

BACKGROUND AND OBJECTIVES

Climate change threatens well-being and has increased the prevalence of weather-related disasters. We investigated age differences in emotional well-being among adults who had experienced hurricane-related, unavoidable stressors. Socioemotional selectivity theory (SST) posits that age-related motivational shifts buffer older adults against psychological distress, whereas the strength and vulnerability integration model (SAVI) posits that unavoidable stressors are more detrimental to older adults' well-being compared to younger adults.

RESEARCH DESIGN AND METHODS

We used existing self-report data from a life-span sample of adults (N = 618, M age = 58.44 years, standard deviation = 16.03, 18-96 years) who resided in the U.S. Gulf Coast region. The sample was recruited in 2016 to examine the sequelae of the Deepwater Horizon oil spill and contacted again after the 2017 and 2018 hurricane seasons. In 2016, participants reported their depression, anxiety, and trauma history. After the 2017-2018 hurricane seasons, participants reported their depression, post-traumatic stress, exposure to hurricane-related adversities, injuries and casualties, self-efficacy, and perceived health.

RESULTS

In line with SST, older age was associated with reporting significantly fewer depression and post-traumatic stress disorder symptoms, even after controlling for exposure to hurricane-related adversities, injuries and casualties, health, self-efficacy, pre-hurricane depression, anxiety, and trauma. The association between older age and fewer depression symptoms was stronger among those who experienced hurricane-related adversities compared to those who had not, in contrast to predictions based on SAVI.

DISCUSSION AND IMPLICATIONS

We discuss the implications of age-related strengths in emotional well-being for policy and practice in the context of the ongoing climate crisis.

The Contribution of Environmental Science to Mental Health Research: A Scoping Review

Mental health is influenced by multiple complex and interacting genetic, psychological, social, and environmental factors. As such, developing state-of-the-art mental health knowledge requires collaboration across academic disciplines, including environmental science. To assess the current contribution of environmental science to this field, a scoping review of the literature on environmental influences on mental health (including conditions of cognitive development and decline) was conducted. The review protocol was developed in consultation with experts working across mental health and environmental science. The scoping review included 202 English-language papers, published between 2010 and 2020 (prior to the COVID-19 pandemic), on environmental themes that had not already been the subject of recent systematic reviews; 26 reviews on climate change, flooding, air pollution, and urban green space were additionally considered. Studies largely focused on populations in the USA, China, or Europe and involved limited environmental science input. Environmental science research methods are primarily focused on quantitative approaches utilising secondary datasets or field data. Mental health measurement was dominated by the use of self-report psychometric scales. Measures of environmental states or exposures were often lacking in specificity (e.g., limited to the presence or absence of an environmental state). Based on the scoping review findings and our synthesis of the recent reviews, a research agenda for environmental science's future contribution to mental health scholarship is set out. This includes recommendations to expand the geographical scope and broaden the representation of different environmental science areas, improve measurement of environmental exposure, prioritise experimental and longitudinal research designs, and giving greater consideration to variation between and within communities and the mediating pathways by which environment influences mental health. There is also considerable opportunity to increase interdisciplinarity within the field via the integration of conceptual models, the inclusion of mixed methods and qualitative approaches, as well as further consideration of the socio-political context and the environmental states that can help support good mental health. The findings were used to propose a conceptual model to parse contributions and connections between environmental science and mental health to inform future studies.

Deepwater Horizon Oil Spill Exposures and Long-term Self-rated Health Effects Among Parents in Coastal Louisiana

PURPOSE

To assess whether exposure to the 2010 Deepwater Horizon oil spill (DHOS) was related to parents' self-rated health over time.

DESIGN

3 waves of panel data were drawn from the Gulf Coast Population Impact study (2014) and Resilient Children, Youth, and Communities study (2016, 2018).

SETTING

Coastal Louisiana communities in high-impact DHOS areas.

PARTICIPANTS

Respondents were parents or guardians aged 18 - 84, culled from a probability sample of households with a child aged 4 to 18 (N = 526) at the time of the 2010 DHOS.

MEASURES

Self-rated health was measured at each wave. Self-reported physical exposure to the DHOS, economic exposure to the DHOS, and control variables were measured in 2014.

ANALYSIS

We used econometric random effects regression for panel data to assess relationships between DHOS exposures and self-rated health over time, controlling for potentially confounding covariates.

RESULTS

Both physical exposure (b = -0.39; P < 0.001) and economic exposure (b = -0.34; P < 0.001) to the DHOS had negative associations with self-rated health over the study period. Physical exposure had a larger effect size.

CONCLUSION

Parents' physical contact with, and economic disruption from, the 2010 DHOS were tied to long-term diminished health.

Crisis Standards of Care Implementation at the State Level in the United States

Introduction:

In 2009, the Institute of Medicine published guidelines for implementation of Crisis Standards of Care (CSC) at the state level in the United States (US). Based in part on the then concern for H1N1 pandemic, there was a recognized need for additional planning at the state level to maintain health system preparedness and conventional care standards when available resources become scarce. Despite the availability of this framework, in the years since and despite repeated large-scale domestic events, implementation remains mixed.

Problem:

Coronavirus disease 2019 (COVID-19) rejuvenates concern for how health systems can maintain quality care when faced with unrelenting burden. This study seeks to outline which states in the US have developed CSC and which areas of care have thus far been addressed.

Methods:

An online search was conducted for all 50 states in 2015 and again in 2020. For states without CSC plans online, state officials were contacted by email and phone. Public protocols were reviewed to assess for operational implementation capabilities, specifically highlighting guidance on ventilator use, burn management, sequential organ failure assessment (SOFA) score, pediatric standards, and reliance on influenza planning.

Results:

Thirty-six states in the US were actively developing (17) or had already developed (19) official CSC guidance. Fourteen states had no publicly acknowledged effort. Eleven of the 17 public plans had updated within five years, with a majority addressing ventilator usage (16/17), influenza planning (14/17), and pediatric care (15/17), but substantially fewer addressing care for burn patients (9/17).

Conclusion:

Many states lacked publicly available guidance on maintaining standards of care during disasters, and many states with specific care guidelines had not sufficiently addressed the full spectrum of hazard to which their health care systems remain vulnerable.

Posttraumatic Stress and Depression in the Aftermath of Environmental Disasters: A Review of Quantitative Studies Published in 2018

PURPOSE OF REVIEW

As interest in the mental health consequences of environmental disasters increases, this review aimed to summarize peer-reviewed studies published in 2018 on posttraumatic stress disorder (PTSD) and depression symptoms after such events.

RECENT FINDINGS

Notable trends in the past year of research included studies focusing on vulnerable populations (e.g., persons with preexisting physical health conditions), assessing the cumulative impact of exposure to multiple disasters, exploring pathway leading to PTSD and depression symptoms, and evaluating the effectiveness of post-disaster interventions. Over 100 articles were identified, focused on 40 disasters that occurred between 1982 and 2017. Prevalence estimates ranged from 0 to 70.51% for PTSD and 1.9 to 59.5% for depression. Consistent predictors of adverse outcomes included female gender, socioeconomic disadvantage, high disaster exposure, and low psychosocial resources. Further research that expands upon recent advances in the literature is critical given the large proportion of the world's population exposed to disasters and the increasing incidence of such events.

On the Need for Prospective Disaster Survey Panels

Disasters are typically unforeseen, causing most social and behavioral studies about disasters to be reactive. Occasionally, predisaster data are available, for example, when disasters happen while a study is already in progress or where data collected for other purposes already exist, but planned pre-post designs are all but nonexistent. This gap fundamentally limits the quantification of disasters' human toll. Anticipating, responding to, and managing public reactions require a means of tracking and understanding those reactions, collected using rigorous scientific methods. Oftentimes, self-reports from the public are the best or only source of information, such as perceived risk, behavioral intentions, and social learning. Significant advancement in disaster research, to best inform practice and policy, requires well-designed surveys with large probability-based samples and longitudinal assessment of individuals across the life-cycle of a disaster and across multiple disasters.