Hispanic health disparities after a flood disaster: results of a population-based survey of individuals experiencing home site damage in El Paso (Texas, USA)

Help-Seeking Behaviors in a Community Experiencing Multiple, Concurrent Natural Disasters. Lessons from a Greater Houston Community

Previous disaster research exploring mental health consequences has been conducted after a single disaster. Community mental health nurses offer critical support in the aftermath of a disaster through complex assessments, psychosocial education and treatment. This research examines help-seeking behaviors in a Greater Houston community struggling with two simultaneous disasters, a historic winter freeze amidst the COVID-19 pandemic. Three Mental Health Crisis clinics, staffed by an interdisciplinary team, offered walk-in crisis services. The study characterizes adults who accessed services and describes those who accepted follow-up, subsidized behavioral health therapy or case management, including populations experiencing health disparities. Statistical analysis included descriptive and inferential statistics. Those who recognized the need for behavioral health care and accessed episodic care differed from those who accepted follow-up care. The population that was more likely to accept follow up care largely consisted of females, individuals without a previously existing mental health condition, those who reported trauma exposure, and young adults of Hispanic/Latino origin. Nurses can leverage female support to inspire male adults to seek care and advocate for increased resources and training to support culturally relevant care. Nurses and the interdisciplinary team need to assess for trauma exposure, as it influences care decisions.

Health Disparities in the Aftermath of Flood Events: A Review of Physical and Mental Health Outcomes with Methodological Considerations in the USA

PURPOSE OF REVIEW

This review applies an environmental justice perspective to synthesize knowledge of flood-related health disparities across demographic groups in the USA. The primary aim is to examine differential impacts on physical and mental health outcomes while also assessing methodological considerations such as flood exposure metrics, baseline health metrics, and community engagement.

RECENT FINDINGS

In our review (n = 27), 65% and 72% of studies identified racial, ethnic, or socio-economic disparities in physical and mental health outcomes post-flooding, respectively. The majority of racial/ethnic disparities were based on Black race, while most socio-economic disparities were based on lower household income. Forty-two percent of studies lacked flood exposure metrics, but often identified disparities. Common flood exposure metrics included self-reported flooding, flood risk models, and satellite-based observations. Seventy percent of studies lacked baseline health measurements or suitable alternatives, and only 19% incorporated community engagement into their research design. The literature consistently finds that both physical and mental health burdens following flooding are unequally shared across racial, ethnic, and socio-economic groups. These findings emphasize the need for disaster risk reduction policies that address underlying vulnerabilities to flooding, unequal exposure to flooding, and progressive funding for recovery efforts. Findings also underscore the importance of methodological enhancements to facilitate precise assessments of flood exposure and health outcomes.

Do disasters exacerbate socioeconomic inequalities in health among older people?

Disasters can exacerbate socioeconomic health disparities because of differential exposure (e.g., socioeconomically disadvantaged groups are more likely to be exposed to disaster-related trauma) and differential vulnerability (disadvantaged groups are more likely to suffer health consequences of exposure to trauma). We sought to test whether health disparities among older adults widened in the area which was directly affected by the 2011 Great East Japan Earthquake & Tsunami compared to areas which largely escaped tsunami damage. We used data from a cohort of community-dwelling older adults who were directly affected by the 2011 disaster (the Iwanuma Study) and municipalities that were not directly affected (the JAGES parent cohort excluding Iwanuma city). The Iwanuma Study gathered pre-disaster information from participants in 2010 (seven months before the disaster) as well as post-disaster information in 2013, 2016 and 2019 (2.5, 5.5 and 8.5 years after the disaster). Our outcomes were depressive symptoms (GDS) and instrumental activities of daily living (IADL). We examined the pre- versus post-disaster trends in socioeconomic health disparities using the slope index and relative index of inequality. We then conducted a difference-in-difference analysis comparing the pre/post disaster change in health disparities in the "exposed" city (Iwanuma) compared to "control" cities. We found clear pre-disaster socioeconomic inequalities in both GDS and IADL in both the exposed and control cities. However, the magnitude of these inequalities did not change after the disaster on either the absolute or relative scales. The 2011 disaster in northeastern Japan did not exacerbate pre-existing patterns of health inequalities in the older population.

Factors Associated With Poor Health Outcomes Among Vietnamese Americans After Hurricane Harvey, Houston, Texas, 2018-2019

OBJECTIVE

Immigrants typically experience poor health outcomes after disasters but are often excluded in disaster studies. We assessed physical and mental health outcomes among Houston-area Vietnamese American residents after Hurricane Harvey and hurricane-related characteristics associated with poor health outcomes.

METHODS

We conducted in-person structured surveys among 120 Vietnamese Americans from November 2018 through February 2019. We used the physical and mental component scores of the 12-Item Short-Form Health Survey to assess health outcomes. We used descriptive statistics for health outcomes and hurricane-related effects and examined the associations between hurricane-related characteristics and health outcomes.

RESULTS

Overall mean (95% CI) physical and mental component scores were 39.8 (29.7-49.9) and 32.6 (27.6-37.6), respectively. The odds of poor physical health poststorm were significantly higher among participants reporting ≥5 versus <5 depressive symptoms (odds ratio [OR] = 3.04; 95% CI, 1.11-8.29; P = .03) and significantly lower among participants with versus without health insurance (OR = 0.25; 95% CI, 0.09-0.71; P = .01). The odds of experiencing poor mental health more than a year after the hurricane were significantly higher among those sustaining versus not sustaining a serious injury/illness because of the hurricane (OR = 3.34; 95% CI, 1.12-9.94; P = .03) and among those who were married/partnered versus not married/partnered (OR = 4.16; 95% CI, 1.32-13.07; P = .02). Receiving versus not receiving free health care services after the hurricane and having high versus low levels of acculturation protected against poor mental health (P < .05 for both).

CONCLUSIONS

Our findings highlight the inequalities of postdisaster health outcomes in this immigrant population and emphasize the need for improved disaster recovery programs that account for these factors.

Predicting Unmet Healthcare Needs in Post-Disaster: A Machine Learning Approach

Unmet healthcare needs in the aftermath of disasters can significantly impede recovery efforts and exacerbate health disparities among the affected communities. This study aims to assess and predict such needs, develop an accurate predictive model, and identify the key influencing factors. Data from the 2017 Long-term Survey on the Change of Life of Disaster Victims in South Korea were analyzed using machine learning techniques, including logistic regression, C5.0 tree-based model, and random forest. The features were selected based on Andersen's health behavior model and disaster-related factors. Among 1659 participants, 31.5% experienced unmet healthcare needs after a disaster. The random forest algorithm exhibited the best performance in terms of precision, accuracy, Under the Receiver Operating Characteristic (AUC-ROC), and F-1 scores. Subjective health status, disaster-related diseases or injuries, and residential area have emerged as crucial factors predicting unmet healthcare needs. These findings emphasize the vulnerability of disaster-affected populations and highlight the value of machine learning in post-disaster management policies for decision-making.

Social support and community embeddedness protect against post-disaster depression among immigrants: a Vietnamese American case study

Immigrants often face increased vulnerabilities to disaster-related poor health and recovery, compared to mainstream populations. Little is known about Hurricane Harvey's impacts among the storm affected area's large Vietnamese American population. Our study documented diverse psychological experiences and recovery challenges 1 year post-storm among a sample of 120 Vietnamese Americans residing in the Houston, Texas area. Using linear regression modeling, we examined the association between social support and depressive symptom development among these storm-affected Vietnamese Americans. Social support encapsulating both social embeddedness and perceived support was measured by the Louisville Social Support Scale and depressive symptom development was measured by 18 items that assessed emotional distress. These items included loss of appetite, loss of concentration, exposure to persistent pain, and the exhibition of hopelessness, tiredness, sadness, frustration, discouragement, desperation, exhaustion, disgraced, anger, and craziness. We found adverse post-disaster health outcomes, as well as potential avenues to mitigate them, that should be taken into consideration in the design and implementation of inclusive disaster programs. A high level of social support lowered depressive symptomology among Vietnamese Americans post-Hurricane Harvey, even when accounting for Hurricane Harvey-related home damages and injuries/illness. The negative association between social support and depressive symptom development remained after accounting for both post-storm self-rated mental and physical health. Our results suggested that public health practitioners and emergency management entities should prioritize social support resources to foster mental well-being after hurricanes among Vietnamese Americans as future hurricanes are expected to be stronger and more prevalent along the United States Gulf Coast.

Application for simulating public health problems during floods around the Loei River in Thailand: the implementation of a geographic information system and structural equation model

Background

Floods cause not only damage but also public health issues. Developing an application to simulate public health problems during floods around the Loei River by implementing geographic information system (GIS) and structural equation model (SEM) techniques could help improve preparedness and aid plans in response to such problems in general and at the subdistrict level. As a result, the effects of public health problems would be physically and mentally less severe.

Methods

This research and development study examines cross-sectional survey data. Data on demographics, flood severity, preparedness, help, and public health problems during floods were collected using a five-part questionnaire. Calculated from the population proportion living within 300 m of the Loei River, the sample size was 560 people. The participants in each subdistrict were recruited proportionally in line with the course of the Loei River. Compared to the empirical data, the data analysis examined the causal model of public health problems during floods, flood severity, preparedness, and help. The standardized factor loadings obtained from the SEM analysis were substituted as the loadings in the equations for simulating public health problems during floods.

Results

The results revealed that the causal model of public health problems during floods, flood severity, preparation, and help agreed with the empirical data. Flood severity, preparedness, and aid (χ² = 479.757, df = 160, p value <.05, CFI = 0.985, RMSEA = 0.060, χ²/df = 2.998) could explain 7.7% of public health problems. The computed values were applied in a GIS environment to simulate public health problem situations at the province, district, and subdistrict levels.

Conclusions

Flood severity and public health problems during floods were positively correlated; in contrast, preparedness and help showed an inverse relationship with public health problems. A total of 7.7% of the variance in public health problems during floods could be predicted. The analysed data were assigned in the GIS environment in the developed application to simulate public health problem situations during floods.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14018-7.

Flooding and emergency department visits: Effect modification by the CDC/ATSDR Social Vulnerability Index

The Centers for Disease Control and Prevention (CDC)/Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) is a census-based metric that includes 15 socioeconomic and demographic factors split into four themes relevant to disaster planning, response, and recovery. Using CDC/ATSDR SVI, health outcomes, and remote sensing data, we sought to understand the differences in the occurrence of overall and cause-specific emergency department (ED) visits before and after a 2017 flood event in Texas following Hurricane Harvey, modified by different levels of social vulnerability. We used a controlled before-after study design to estimate the association between flooding and overall and cause-specific ED visits after adjusting for the baseline period, seasonal trends, and individual-level characteristics. We estimated rate ratios stratified by CDC/ATSDR SVI quartiles (overall and 4 themes separately) and tested for the presence of effect modification. Positive effect modification was found such that total ED visits from flooded census tracts with moderate, high, and very high levels of social vulnerability were less reduced compared to tracts with the least vulnerability during flooding and the month following the flood event. The CDC/ATSDR SVI socioeconomic status theme, household composition and disability theme, and housing and transportation type theme explained this result. We found predominantly negative effect modification with higher ED visits among tracts with the least vulnerability for ED visits related to insect bites, dehydration, and intestinal infectious diseases.

One Year after the Flood: Prevalence and Correlates of Post-Traumatic Stress Disorder among Residents in Fort McMurray

Background: The 2020 Fort McMurray (FMM) and area flood caused more than $228 million in insured damage, affected over 1200 structures, and more than 13,000 people were evacuated. Objective: This study sought to determine the prevalence of post-traumatic stress disorder (PTSD)-like symptoms and the risk predictors among the population of FMM one year after the 2020 flooding. Methods: An online quantitative cross-sectional survey was distributed to residents of FMM via REDCap between 24 April to 2 June 2021 to collect sociodemographic, clinical, and flood-related information. The PTSD checklist for DSM-5 (PCL-C) was used to assess likely PTSD among respondents. Results: 186 of 249 respondents completed all essential self-assessment questionnaires in the analysis, yielding a response rate of 74.7%. The prevalence of likely PTSD was 39.6% (65). Respondents with a history of depression were more likely to develop PTSD symptoms (OR = 5.71; 95% CI: 1.68–19.36). Similarly, responders with limited and no family support after the disaster were more prone to report PTSD symptoms ((OR = 2.87; 95% CI: 1.02–8.05) and (OR = 2.87; 95% CI: 1.06–7.74), respectively). Conclusions: Our research indicated that history of depression and the need for mental health counseling significantly increased the risk of developing PTSD symptoms following flooding; family support is protective. Further studies are needed to explore the relations between the need to receive counseling and presenting with likely PTSD symptoms.

Concepts and Terms for Addressing Disparities in Public Health Emergencies: Accounting for the COVID-19 Pandemic and the Social Determinants of Health in the United States

Public health emergencies, including the coronavirus disease 2019 (COVID-19) pandemic, highlight disproportionate impacts faced by populations with existing disparities. Concepts and terms used to describe populations disproportionately impacted in emergencies vary over time and across disciplines, but United States (US) federal guidance and law require equal access to our nation's emergency resources. At all levels of emergency planning, public health and their partners must be accountable to populations with existing inequities, which requires a conceptual shift toward using the data-driven social determinants of health (SDOH). SDOH are conditions in which people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality of life outcomes and risks. This article reviews the historic use of concepts and terms to describe populations disproportionately impacted by emergencies. It also recommends a shift in emergency activities toward interventions that target the SDOH to adequately address long-standing systemic health disparities and socioeconomic inequities in the United States.

Race and Ethnic Group Disparities in Emotional Distress Among Older Adults During the COVID-19 Pandemic

Background and Objectives

Framed within Conservation of Resources theory, this study addressed race-ethnic differences in the relationships between emotional distress and current and expected Coronavirus Disease - 2019 (COVID-19) pandemic stressors.

Research Design and Methods

The study employed data from the Household Pulse Survey, a large national survey collecting weekly data to understand the experiences of Americans during the COVID-19 pandemic (age 55 and above; N=94,550). Emotional distress included depression and anxiety symptoms. COVID-19 stressors included current and expected income, housing, healthcare, and food insecurities.

Results

Older persons of color reported higher rates of stressors and emotional distress than their White counterparts. In relation to current stressors, older Black persons responded with less emotional distress and older Latino persons responded with more emotional distress than older White persons. In addition, older persons of color were more likely to expect future resource losses related to COVID-19, and the association between these expectations and emotional distress varied by race-ethnic group.

Discussion and Implications

The findings reflected the disproportionate negative impact of COVID-19 stressors on emotional distress among older persons of color, providing a baseline for future studies to further examine the impacts of the pandemic among diverse older adult populations.

Houston hurricane Harvey health (Houston-3H) study: assessment of allergic symptoms and stress after hurricane Harvey flooding

BACKGROUND

In August 2017, Hurricane Harvey caused unprecedented flooding across the greater Houston area. Given the potential for widespread flood-related exposures, including mold and sewage, and the emotional and mental toll caused by the flooding, we sought to evaluate the short- and long-term impact of flood-related exposures on the health of Houstonians. Our objectives were to assess the association of flood-related exposures with allergic symptoms and stress among Houston-area residents at two time points: within approximately 30 days (T1) and 12 months (T2) after Hurricane Harvey's landfall.

METHODS

The Houston Hurricane Harvey Health (Houston-3H) Study enrolled a total of 347 unique participants from four sites across Harris County at two times: within approximately 1-month of Harvey (T1, n = 206) and approximately 12-months after Harvey (T2, n = 266), including 125 individuals who participated at both time points. Using a self-administered questionnaire, participants reported details on demographics, flood-related exposures, and health outcomes, including allergic symptoms and stress.

RESULTS

The majority of participants reported hurricane-related flooding in their homes at T1 (79.1%) and T2 (87.2%) and experienced at least one allergic symptom after the hurricane (79.4% at T1 and 68.4% at T2). In general, flood-exposed individuals were at increased risk of upper respiratory tract allergic symptoms, reported at both the T1 and T2 time points, with exposures to dirty water and mold associated with increased risk of multiple allergic symptoms. The mean stress score of study participants at T1 was 8.0 ± 2.1 and at T2, 5.1 ± 3.2, on a 0-10 scale. Participants who experienced specific flood-related exposures reported higher stress scores when compared with their counterparts, especially 1 year after Harvey. Also, a supplementary paired-samples analysis showed that reports of wheezing, shortness of breath, and skin rash did not change between T1 and T2, though other conditions were less commonly reported at T2.

CONCLUSION

These initial Houston-3H findings demonstrate that flooding experiences that occurred as a consequence of Hurricane Harvey had lasting impacts on the health of Houstonians up to 1 year after the hurricane.

The legal violence of care: Navigating the US health care system while undocumented and illegible

Medical sociologists widely conceptualize illegality as a social determinant of health, implicating immigration law but not health care law in immigrant health disparities. Contributing to an emerging literature on legal violence in the context of health care, I explore how the Harris Health System in Houston, Texas legally affects low-income undocumented migrants' lives as they seek care. Drawing on eleven months of ethnographic and interview research with migrants and volunteers at a community-based organization, I argue that the health care system legally exacerbates migrant vulnerability in particular ways. Clerical staff follow medical protocol to deny migrants care on the basis of legibility (i.e., a photo ID), not legality (i.e., legal status), resulting in two classifications of illegality - what I term legible and illegible illegality. The former keeps migrants visible to the state but offers potential care, and the latter legally relegates migrants to the exploitative conditions of informal home care and/or a protracted state of suffering where, for many, death is the only recourse. This research shows that without substantive health reform, health practitioners - physicians, social workers, clerical staff, and home care workers - play an (in)direct role in shaping and normalizing immigrant health disparities.

A Multi-Decadal Spatial Analysis of Demographic Vulnerability to Urban Flood: A Case Study of Birmingham City, USA

Flooding, including hurricanes and tornadoes, accounts for approximately 40 percent of natural disasters worldwide and kills 100 people on average in the United States each year, which is more than any other single weather hazard. Since flooding is a common hazard in the U.S. and flood-related casualties have been increasing in recent years, it is important to understand the spatial patterns of different vulnerable population groups in the flooding regions. To achieve this objective, spatial scan statistics were used to identify the spatial clusters of different demographic groups (children and elderly, poor, White, African American, and Hispanic) in the 100-year floodplain areas of Birmingham. Using the decennial census data from 1990 to 2015, this research examined whether these vulnerable population groups had aggregated more in the flooding areas or moved away from the flooding areas in the past thirty years. The findings of this research indicate that most of the minorities are increasingly aggregating in the floodplain areas of Village Creek in Birmingham. The findings also suggest that the non-minorities are moving away from the flooding regions in Birmingham, AL. As part of the minorities and non-minorities group, approximately 50 percent of African Americans and 4 percent of White populations aggregated in the Village Creek flooding areas in 2015. Although the percentage of White populations is very low, the findings suggest that they are still exposed to floods. The multi-decadal analysis of flood risk will help the local governments to understand which population groups could be more affected by floods historically and need more attention in future flood hazards. This understanding will help them prepare for future flood hazards by allocating resources efficiently among the different racial and ethnic groups.

Disparities in Health Effects and Access to Health Care Among Houston Area Residents After Hurricane Harvey

OBJECTIVES

Although research shows that public health is substantially affected during and after disasters, few studies have examined the health effects of Hurricane Harvey, which made landfall on the Texas coast in August 2017. We assessed disparities in physical health, mental health, and health care access after Hurricane Harvey among residents of the Houston-The Woodlands-Sugar Land, Texas, metropolitan statistical area (ie, Houston MSA).

METHODS

We used structured survey data collected through telephone and online surveys from a population-based random sample of Houston MSA residents (n = 403) collected from November 29, 2017, through January 6, 2018. We used descriptive statistics to describe the prevalence of physical health/mental health and health care access outcomes and multivariable generalized linear models to assess disparities (eg, based on race/ethnicity, socioeconomic status, disability) in health outcomes.

RESULTS

Physical health problems disproportionately affected persons who did not evacuate (odds ratio [OR] = 0.41; 95% confidence interval [CI], 0.19-0.87). Non-Hispanic black persons were more likely than non-Hispanic white persons to have posttraumatic stress (OR = 5.03; 95% CI, 1.90-13.10), as were persons in households that experienced job loss post-Harvey (vs did not experience job loss post-Harvey; OR = 2.89; 95% CI, 1.14-7.32) and older persons (OR = 1.04; 95% CI, 1.01-1.06). Health care access was constrained for persons whose households lost jobs post-Harvey (vs did not lose jobs post-Harvey; OR = 2.73; 95% CI, 1.29-5.78) and for persons with disabilities (vs without disabilities; OR = 3.19; 95% CI, 1.37-7.45).

CONCLUSIONS

Our findings underscore the need to plan for and ameliorate public health disparities resulting from climate change-related disasters, which are expected to occur with increased frequency and magnitude.

Hurricane Harvey and Greater Houston households: comparing pre-event preparedness with post-event health effects, event exposures, and recovery

Most disaster studies rely on convenience sampling and 'after-only' designs to assess impacts. This paper, focusing on Hurricane Harvey (2017) and leveraging a pre-/post-event sample of Greater Houston households (n=71) in the United States, establishes baselines for disaster preparedness and home structure flood hazard mitigation, explores household-level ramifications, and examines how preparedness and mitigation relate to health effects, event exposures, and recovery. Between 70 and 80 per cent of participants instituted preparedness measures. Mitigation actions varied: six per cent had interior drainage systems and 83 per cent had elevated indoor heating/cooling components. Sixty per cent reported home damage. One-half highlighted allergies and two-thirds indicated some level of post-traumatic stress (PTS). Three-quarters worried about family members/friends. The results of generalised linear models revealed that greater pre- event mitigation was associated with fewer physical health problems and adverse experiences, lower PTS, and faster recovery. The study design exposed the broad benefits of home structure flood hazard mitigation for households after Harvey.

Environmental injustice and Hurricane Harvey: A household-level study of socially disparate flood exposures in Greater Houston, Texas, USA

Environmental justice research on flooding has relied heavily on analyses of aggregated geographic areal units and assessing exposure to 'pre-flood' risks (e.g., residence in 100-year flood zones) rather than actual flood events. To address these limitations, we examined disproportionate exposure to flooding caused by Hurricane Harvey in 2017 in Greater Houston (Texas). Using primary survey data collected from 377 representative households before Harvey and spatial data on Harvey-induced inundation developed by the US Federal Emergency Management Agency, we found that the areal extent of flooding around residents' home sites was distributed inequitably with respect to race/ethnicity and socioeconomic status (SES). Hispanic, black and other racial/ethnic minority households experienced more extensive flooding than white households, and lower SES households faced more extensive flooding than higher SES households. Findings align with prior flood risk research in Greater Houston and provide cause for concern, as social inequities in flood exposure may have influenced social disparities in flood impacts and post-disaster needs. Since flood events in Greater Houston are expected to increase in frequency and magnitude due to climate change, socially disparate impacts are likely to become an increasingly salient public policy issue. Thus, proactive approaches for reducing flood risks and ameliorating disparities should be implemented.

Environmental injustice and flood risk: A conceptual model and case comparison of metropolitan Miami and Houston, USA

This article outlines a conceptual model and comparatively applies it to results from environmental justice (EJ) studies of flood risk in the Miami, Florida, and Houston, Texas, metropolitan areas. In contrast to most EJ studies of air pollution, which have found that socially-vulnerable groups experience disproportionate risk, distributive EJ studies of flooding reveal inconsistent findings regarding the relationship between social vulnerability and flood exposure. Counterintuitively (from a conventional EJ perspective), some pre-flood EJ studies have found that socially-advantaged people experience the highest residential exposure to flood risks. To integrate those anomalous findings within an EJ perspective, our conceptual model focuses on (1) the differential capacities of social groups to deploy/access protective resources for reducing the threat of loss, even while they reside amid flood-prone environments, and (2) both flood hazards and water-based benefits. Application of this model in Miami reveals that environmental injustices materialize as socially-privileged groups expose themselves to residential flood risks by seeking coastal amenities, as the costs of mitigating risks are conveyed to the broader public; in the process, socially-vulnerable residents are relegated to areas with air pollution and/or inland flood risks, where they experience constrained access to protective resources and coastal amenities. Findings from Houston better align with conventional EJ expectations-with flood zones disproportionately inhabited by socially-vulnerable people-because many coastal lands there are used by petrochemical industries, which produce major residential-environmental disamenities. Results underscore the need to consider protective resources and locational benefits in future empirical research on the EJ implications of flood hazards.

Exposure to Flood Hazards in Miami and Houston: Are Hispanic Immigrants at Greater Risk than Other Social Groups?

Although numerous studies have been conducted on the vulnerability of marginalized groups in the environmental justice (EJ) and hazards fields, analysts have tended to lump people together in broad racial/ethnic categories without regard for substantial within-group heterogeneity. This paper addresses that limitation by examining whether Hispanic immigrants are disproportionately exposed to risks from flood hazards relative to other racial/ethnic groups (including US-born Hispanics), adjusting for relevant covariates. Survey data were collected for 1283 adult householders in the Houston and Miami Metropolitan Statistical Areas (MSAs) and flood risk was estimated using their residential presence/absence within federally-designated 100-year flood zones. Generalized estimating equations (GEE) with binary logistic specifications that adjust for county-level clustering were used to analyze (separately) and compare the Houston (N = 546) and Miami (N = 560) MSAs in order to clarify determinants of household exposure to flood risk. GEE results in Houston indicate that Hispanic immigrants have the greatest likelihood, and non-Hispanic Whites the least likelihood, of residing in a 100-year flood zone. Miami GEE results contrastingly reveal that non-Hispanic Whites have a significantly greater likelihood of residing in a flood zone when compared to Hispanic immigrants. These divergent results suggest that human-flood hazard relationships have been structured differently between the two MSAs, possibly due to the contrasting role that water-based amenities have played in urbanization within the two study areas. Future EJ research and practice should differentiate between Hispanic subgroups based on nativity status and attend to contextual factors influencing environmental risk disparities.

An exploration of factors affecting the long term psychological impact and deterioration of mental health in flooded households

The long term psychological effect of the distress and trauma caused by the memory of damage and losses associated with flooding of communities remains an under researched impact of flooding. This is particularly important for communities that are likely to be repeatedly flooded where levels of mental health disorder will damage long term resilience to future flooding. There are a variety of factors that affect the prevalence of mental health disorders in the aftermath of flooding including pre-existing mental health, socio-economic factors and flood severity. However previous research has tended to focus on the short term impacts immediately following the flood event and much less focus has been given to the longer terms effects of flooding. Understanding of factors affecting the longer term mental health outcomes for flooded households is critical in order to support communities in improving social resilience. Hence, the aim of this study was to explore the characteristics associated with psychological distress and mental health deterioration over the longer term. The research examined responses from a postal survey of households flooded during the 2007 flood event across England. Descriptive statistics, correlation analysis and binomial logistic regression were applied to data representing household characteristics, flood event characteristics and post-flood stressors and coping strategies. These factors were related to reported measures of stress, anxiety, depression and mental health deterioration. The results showed that household income, depth of flooding; having to move out during reinstatement and mitigating actions are related to the prevalence of psycho-social symptoms in previously flooded households. In particular relocation and household income were the most predictive factors. The practical implication of these findings for recovery after flooding are: to consider the preferences of households in terms of the need to move out during restorative building works and the financial resource constraints that may lead to severe mental hardship. In addition the findings suggest that support with installing mitigation measures may lead to improved mental health outcomes for communities at risk.

A scalable climate health justice assessment model

This paper introduces a scalable "climate health justice" model for assessing and projecting incidence, treatment costs, and sociospatial disparities for diseases with well-documented climate change linkages. The model is designed to employ low-cost secondary data, and it is rooted in a perspective that merges normative environmental justice concerns with theoretical grounding in health inequalities. Since the model employs International Classification of Diseases, Ninth Revision Clinical Modification (ICD-9-CM) disease codes, it is transferable to other contexts, appropriate for use across spatial scales, and suitable for comparative analyses. We demonstrate the utility of the model through analysis of 2008-2010 hospitalization discharge data at state and county levels in Texas (USA). We identified several disease categories (i.e., cardiovascular, gastrointestinal, heat-related, and respiratory) associated with climate change, and then selected corresponding ICD-9 codes with the highest hospitalization counts for further analyses. Selected diseases include ischemic heart disease, diarrhea, heat exhaustion/cramps/stroke/syncope, and asthma. Cardiovascular disease ranked first among the general categories of diseases for age-adjusted hospital admission rate (5286.37 per 100,000). In terms of specific selected diseases (per 100,000 population), asthma ranked first (517.51), followed by ischemic heart disease (195.20), diarrhea (75.35), and heat exhaustion/cramps/stroke/syncope (7.81). Charges associated with the selected diseases over the 3-year period amounted to US$5.6 billion. Blacks were disproportionately burdened by the selected diseases in comparison to non-Hispanic whites, while Hispanics were not. Spatial distributions of the selected disease rates revealed geographic zones of disproportionate risk. Based upon a downscaled regional climate-change projection model, we estimate a >5% increase in the incidence and treatment costs of asthma attributable to climate change between the baseline and 2040-2050 in Texas. Additionally, the inequalities described here will be accentuated, with blacks facing amplified health disparities in the future. These predicted trends raise both intergenerational and distributional climate health justice concerns.

Flooding and mental health: a systematic mapping review

Background

Floods are the most common type of global natural disaster. Floods have a negative impact on mental health. Comprehensive evaluation and review of the literature are lacking.

Objective

To systematically map and review available scientific evidence on mental health impacts of floods caused by extended periods of heavy rain in river catchments.

Methods

We performed a systematic mapping review of published scientific literature in five languages for mixed studies on floods and mental health. PUBMED and Web of Science were searched to identify all relevant articles from 1994 to May 2014 (no restrictions).

Results

The electronic search strategy identified 1331 potentially relevant papers. Finally, 83 papers met the inclusion criteria. Four broad areas are identified: i) the main mental health disorders—post-traumatic stress disorder, depression and anxiety; ii] the factors associated with mental health among those affected by floods; iii) the narratives associated with flooding, which focuses on the long-term impacts of flooding on mental health as a consequence of the secondary stressors; and iv) the management actions identified. The quantitative and qualitative studies have consistent findings. However, very few studies have used mixed methods to quantify the size of the mental health burden as well as exploration of in-depth narratives. Methodological limitations include control of potential confounders and short-term follow up.

Limitations

Floods following extreme events were excluded from our review.

Conclusions

Although the level of exposure to floods has been systematically associated with mental health problems, the paucity of longitudinal studies and lack of confounding controls precludes strong conclusions.

Implications

We recommend that future research in this area include mixed-method studies that are purposefully designed, using more rigorous methods. Studies should also focus on vulnerable groups and include analyses of policy and practical responses.

Social disparities in children's respiratory health in El Paso, Texas

The objectives of this study were to assess prevalence of children’s respiratory health conditions and to measure and describe social disparities in children’s respiratory problems and access to health resources for asthma/wheezing management. Data were collected through a cross-sectional, observational mail survey of all primary caretakers of 4th and 5th grade children in El Paso Independent School District (El Paso, TX, USA). 6295 primary caretakers received surveys at their home address and 1904 surveys were completed and returned for a 30% response rate. El Paso children have high rates of asthma (17%) and allergies (51%). In terms of social disparities, children that are male, not poor, obese, Hispanic, born in El Paso, have a US-born caretaker, and have a caretaker who has lower levels Spanish proficiency have increased odds of respiratory problems. Among children with asthma and wheezing, disparities exist in access to care; those that are poor, with a Spanish-speaking caretaker, or with a foreign-born caretaker had increased odds of seeking care in urgent care center, emergency rooms and hospitals. Results have scholarly and practical implications for broader trends in terms of increasing prevalence of respiratory health problems across multiple scales (from El Paso to the US context to worldwide) and health disparities experienced within the rapidly growing US Hispanic population.

Factors increasing vulnerability to health effects before, during and after floods

Identifying the risk factors for morbidity and mortality effects pre-, during and post-flood may aid the appropriate targeting of flood-related adverse health prevention strategies. We conducted a systematic PubMed search to identify studies examining risk factors for health effects of precipitation-related floods, among Organisation for Economic Co-Operation and Development (OECD) member countries. Research identifying flood-related morbidity and mortality risk factors is limited and primarily examines demographic characteristics such as age and gender. During floods, females, elderly and children appear to be at greater risk of psychological and physical health effects, while males between 10 to 29 years may be at greater risk of mortality. Post-flood, those over 65 years and males are at increased risk of physical health effects, while females appear at greater risk of psychological health effects. Other risk factors include previous flood experiences, greater flood depth or flood trauma, existing illnesses, medication interruption, and low education or socio-economic status. Tailoring messages to high-risk groups may increase their effectiveness. Target populations differ for morbidity and mortality effects, and differ pre-, during, and post-flood. Additional research is required to identify the risk factors associated with pre- and post-flood mortality and post-flood morbidity, preferably using prospective cohort studies.

Intra-ethnic disparities in respiratory health problems among Hispanic residents impacted by a flood

OBJECTIVES

The primary objective of this article is to assess the respiratory health impacts of a flood disaster on Hispanic people residing in the United States, with a focus on intra-ethnic disparities related to age, sex, socioeconomic status, mold exposure, family conflict, English-language proficiency, and a lack of US citizenship.

METHODS

Data were collected in 2010 after a flood disaster (2006) in El Paso County (Texas), which has a Hispanic majority population. A mail-out population-based survey was used retrospectively to assess respiratory health impacts for 363 people residing in 176 self-identified Hispanic households impacted by the flood; logistic regression was utilized to assess intra-ethnic health disparities in flood impacts.

RESULTS

About 41% of individuals experienced one or more post-flood respiratory health problem. Lower income (OR = 0.532,p = .002), mold exposure (OR = 2.267, p < .001), increased family conflict (OR = 1.452, p = .025), English-language proficiency (OR = 4.023, p < .001) and a lack of US citizenship (OR = 13.111, p = .013) were significantly associated with higher odds of respiratory health problems in the regression model.

CONCLUSION

Statistical findings provide evidence of intra-ethnic disparities in post-flood respiratory health status. Specifically within this Hispanic sample, individuals with lower household incomes, whose homes were covered by larger surface areas of mold, and whose families were characterized by increased tension experienced higher odds of post-flood respiratory health problems. Interestingly, greater English-language proficiency and lacking US citizenship were also risk factors. Given that this is one of the first studies of intra-Hispanic disparities in health following a US-based disaster, the findings underscore the importance of considering diversity within the US Hispanic population when studying environmental and post-disaster respiratory health.

Intervention effects of knowledge and skills of the public to respond to public health emergencies in Sichuan province, China

BACKGROUND

Public health emergencies have a significant impact on the health of citizens, the local economy, and society as a whole. Currently, in many parts of China, there is a widespread lack of the knowledge and skills required for emergency preparedness and self-rescue. By carrying out targeted health education and intervention activities, and by popularizing the knowledge and skills in health emergencies, the abilities of citizens to respond to public health emergencies and protect themselves, reduce property damage, and eliminate unnecessary panic may be greatly improved.

OBJECTIVES

The knowledge and skills of the public to respond to public health emergencies after an intervention in Sichuan province were surveyed. The conditions before and after the intervention were compared, and the effect of the intervention was evaluated.

METHODS

Four counties in Sichuan province were selected for baseline survey by means of a multistage random sampling method. Among the districts and counties, one of each was selected for baseline survey as an intervention group and another of each were selected as controls. After 1 year of intervention, respondents were selected from the intervention group by means of the method used for the baseline survey for effect evaluation.

RESULTS

After statistical analysis, it was shown that, after the intervention, the total awareness rate of knowledge to respond to public health emergencies increased from 42.6% to 58.4% among men and from 42.9% to 55.8% among women, both significant differences (p < .001). It was also shown that the total awareness rates of the 18-35, 36-45, 46-60, and 60+ age-groups, respectively, increased from 44.5%, 43.7%, 42.2%, and 37.8% to 62.1%, 56.0%, 56.8%, and 51.9%, which were also significant differences (p < .001). Intervention, educational level, occupation, discussion with the families, and disaster experience were the main influential factors for the knowledge and skills of sudden public health events.

CONCLUSIONS

The study results show that, after the intervention in Sichuan province, the knowledge and skills of the public to respond to public health emergencies were significantly improved. It is also shown that health education interventions must be developed in accordance with geographical features, the educational level of the population, age characteristics, and other factors.