The impact of residential greenness on psychological distress among Hurricane Katrina survivors.

Residential greenness may support mental health among disaster-affected populations; however, changes in residential greenness may disrupt survivors' sense of place. We obtained one pre- and three post-disaster psychological distress scores (Kessler [K]-6) from a cohort (n = 229) of low-income mothers who survived Hurricane Katrina in New Orleans, Louisiana, USA. Greenness was assessed using average growing season Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) in the 300 m around participants' homes at each time point. We used multivariable logistic regressions to evaluate two hypotheses: 1) that cross-sectional greenness (above vs. below median) was associated with reduced psychological distress (K6≥5); and 2) that changes in residential greenness were associated with adverse mental health. When using EVI, we found that a change in level of greenness (i.e., from high to low [high-low], or from low to high [low-high] greenness, comparing pre- and post-Katrina neighborhoods) was associated with increased odds of distress at the first post-storm survey, compared to moving between or staying within low greenness neighborhoods (low-high odds ratio [OR] = 3.48; 95% confidence interval [CI] = 1.40, 8.62 and high-low OR = 2.60; 95% CI: 1.05, 6.42). Results for NDVI were not statistically significant. More research is needed to characterize how residential greenness may impact the health of disaster survivors, and how these associations may change over time.

Migration as a Vector of Economic Losses From Disaster-Affected Areas in the United States.

We introduce the consideration of human migration into research on economic losses from extreme weather disasters. Taking a comparative case study approach and using data from the Federal Reserve Bank of New York/Equifax Consumer Credit Panel, we document the size of economic losses attributable to migration from 23 disaster-affected areas in the United States before, during, and after some of the most costly hurricanes, tornadoes, and wildfires on record. We then employ demographic standardization and decomposition to determine if these losses primarily reflect changes in out-migration or the economic resources that migrants take with them. Finally, we consider the implications of these losses for changing spatial inequality in the United States. While disaster-affected areas and their populations differ in their experiences of and responses to extreme weather disasters, we generally find that, relative to the year before an extreme weather disaster, economic losses via migration from disaster-affected areas increase the year of and after the disaster, these changes primarily reflect changes in out-migration (vs. the economic resources that migrants take with them), and these losses briefly disrupt the status quo by temporarily reducing spatial inequality.

User Beware: Concerning Findings from the Post 2011-2012 U.S. Internal Revenue Service Migration Data.

The U.S. Internal Revenue Service (IRS) makes publicly and freely available period migration data at the state and county levels. Among their uses, these data inform estimates of net-migration as part of the U.S. Census Bureau's Population Estimates Program, which, in turn, are used for producing other annual statistics, survey design, business and community planning, and federal funding allocations. Building on and extending prior research, we devote this Research Brief to documenting from multiple new angles a highly concerning and apparently systemic problem with the IRS migration data since the IRS took over responsibilities for preparing these data from the U.S. Census Bureau in 2011. As we then discuss, despite the fact that the IRS provides documentation detailing changes that it made to how it prepares these data relative to how the U.S. Census Bureau prepared them, it is not clear why or how these changes would result in the problem detailed in our analysis. Given that this problem appears to be an internal one within the IRS, we conclude by suggesting that the post 2011-12 IRS migration data not be used until this problem is resolved, and we encourage the IRS to do so quickly, transparently, and collaboratively.

Antipsychotic and sedative medication use in long-term care facilities providing dementia care.

AIM: This study aimed to quantify use of antipsychotic and sedative medications in residents with dementia in long-term care facilities in the Waikato District Health Board (DHB) catchment and to identify factors associated with the prescription of these medications. METHODS: Resident records and the medication charts of 271 residents with a diagnosis of dementia from 13 dementia units in the Waikato DHB catchment, as well as the psychogeriatric (PG) unit, were reviewed for current prescriptions for any antipsychotic or sedative medication and the date those medications were most recently prescribed. RESULTS: Antipsychotics were prescribed for 133 (49.1%) residents, with a mean (95% CI) of 401 (354-448) days since the most recent prescription was made. Only 16.8% of antipsychotic prescriptions were prescribed in the preceding 12 weeks, with 31.3% of prescriptions prescribed more than a year prior. Residents were more likely to be prescribed an antipsychotic if they were male (56.9% vs 42.6%, p=.019) or had an incident form completed (30.8% vs 19.6% p=.03). Regression analysis showed only gender (OR 1.79, 95%CI 1.07-2.98, p=.026) was associated with antipsychotic medication prescription. Sedatives were prescribed for 60 (22.1%) residents, with a mean (95%CI) of 487 (431-544) days since the most recent prescription was made, and 44.8% of prescriptions were dated more than a year prior. Residents were more likely to be prescribed a sedative if they entered the facility at a younger age (76.9 vs 79.5, p=.042) or had been in the current facility longer (980 vs 734 days, p=.048). Following regression analysis, no individual factors were significantly associated with sedative prescription. CONCLUSION: With clear evidence of the risks of antipsychotics to patients with dementia, the proportion of residents prescribed an antipsychotic or sedative in this study, in conjunction with the prolonged duration of prescription, is cause for concern and needs addressing.

Hispanic Disaster Preparedness in the United States, 2017: Examining the Association with Residential Characteristics.

The number of highly destructive disasters is increasing in regions of the United States where the Hispanic population is growing fastest. Up-to-date studies of disaster preparedness are needed that include housing measures and other factors that may account for differences in disaster preparedness between Hispanics and other racial and ethnic groups. This study fills this gap in the literature by using data from the 2017 American Housing Survey, which includes a topical module on disaster planning along with the core measures of housing and neighborhood characteristics, including housing tenure. The results reveal that Hispanics are generally less prepared than non-Hispanic Whites regarding resource- and action-based measures, with a few exceptions. Hispanics, Blacks, and Asians are significantly more likely than Whites to have at least 3 gallons of water per person, and Hispanics and Blacks are significantly more likely than Whites and Asians to have flood insurance. The findings show that housing and residential characteristics are consistently significant in predicting preparedness-controlling for other relevant variables-although they do not attenuate the disadvantages that Hispanics and Blacks face in their disaster preparedness relative to Whites. Future research would benefit from further exploration of the linkage between racial and ethnic inequalities in housing and neighborhood characteristics and household disaster preparedness.

Changing Spatial Interconnectivity during the "Great American Migration Slowdown": A Decomposition of Intercounty Migration Rates, 1990-2010.

Prior research on the "Great American Migration Slowdown," or the declining rate of U.S. internal migration in recent decades, is dominated by two research foci. The first is concerned with the determinants of the migration slowdown. The second is concerned with spatial heterogeneity in the migration slowdown in and across places. With respect to the aim of this paper, many studies of spatial heterogeneity in the migration slowdown have implicitly raised questions about whether and to what extent places are connected to one another by migration flows, or the spatial interconnectivity of migration. The spatial interconnectivity of migration is a concrete manifestation of underlying spatial interdependence among places, and, as such, deserves to be explicitly unpacked to further our understanding of the migration slowdown. Using county-to-county migration flow data from the Internal Revenue Service and a novel application of Das Gupta's demographic standardization and decomposition procedures, we document changes in the spatial interconnectivity of migration during the migration slowdown between 1990 and 2010. We show that counties became more connected to one another by migration over time, and that the increasing spatial interconnectivity of migration helped to keep the migration slowdown from slowing further. We also document changes in the spatial interconnectivity of migration for four types of migration flows: metro-to-metro, nonmetro-to-metro, metro-to-nonmetro, and nonmetro-to-nonmetro. Our work further elucidates the characteristics of the migration slowdown by describing changes in the spatial interconnectivity of migration. It also raises new questions for future research about the determinants and consequences of these changes.

Hybrid approach to modeling spatial dynamics of systems with generalist predators.

We consider hybrid spatial modeling approaches for ecological systems with a generalist predator utilizing a prey and either a second prey or an allochthonous resource. While spatial dispersion of populations is often modeled via stepping-stone (discrete spatial patches) or continuum (one connected spatial domain) formulations, we shall be interested in hybrid approaches which we use to reduce the dimension of certain components of the spatial domain, obtaining either a continuum model of varying spatial dimensions, or a mixed stepping-stone-continuum model. This approach results in models consisting of partial differential equations for some of the species which are coupled via reactive boundary conditions to lower dimensional partial differential equations or ordinary differential equations for the other species. In order to demonstrate the use of this approach, we consider two case studies. In the first case study, we consider a one-predator two-prey interaction between beavers, wolves and white-tailed deer in Voyageurs National Park. In the second case study, we consider predator-prey-allochthonous resource interactions between bears, berries and salmon on Kodiak Island. For each case study, we compare the results from the hybrid modeling approach with corresponding stepping-stone and continuum model results, highlighting benefits and limitations of the method. In some cases, we find that the hybrid modeling approach allows for solutions which are easier to simulate (akin to stepping-stone models) while maintaining seemingly more realistic spatial dynamics (akin to full continuum models).

Implications of Social and Legal Status on Immigrants' Health in Disaster Zones.

This commentary highlights how immigrants who are linguistically isolated, have limited social networks, and lack legal immigration status experience unique health risks in disaster zones. Research on immigrants and disasters tends to focus on immigrants with these characteristics who are residents of disaster-affected areas, disaster recovery workers, or both. We review the sparse research literature and provide examples of innovative but underresourced programs that reduce immigrants' exposure to disaster-related health hazards and economic exploitation in the recovery. We conclude with recommendations for advancing these initiatives while, simultaneously, addressing the anti-immigrant policies that contribute to these disaster-related inequities.

Strategic Gender Egalitarianism in Rural China: The Impacts of Husbands' Migration on Gender Relations.

When men migrate for work and couples live separately, structures of gender relations may be altered in response. Our research in rural China about husbands' and wives' perceptions of household decision-making and gender-related attitudes examines hypotheses derived from Connell's (2002) theory of gender relations using the Gansu Survey of Children and Families. Consistent with previous research, we find that both migrant husbands and their wives perceive that women have more decision-making power over household production and consumption. In contrast, the effect of husbands' migration on their own and their wives' gender attitudes are less consistent. Both migrant husbands and their wives are more likely than non-migrant spouses to agree that women and men can achieve the same given equal opportunities. Moreover, migrant husbands hold more gender egalitarian views towards their children's education than non-migrant husbands. However, migrant husband and their wives are no more likely to question sons' obligations or men's and women's roles in the family than their non-migrant counterparts. We interpret our findings as strategic gender egalitarianism, that is, gender egalitarianism born of necessity, particularly economic necessity. Strategic gender egalitarianism does not, however, challenge dominant gender structures that define family relationships and allocate power unequally.

Weather-Related Hazards and Population Change: A Study of Hurricanes and Tropical Storms in the United States, 1980-2012.

Environmental determinists predict that people move away from places experiencing frequent weather hazards, yet some of these areas have rapidly growing populations. This analysis examines the relationship between weather events and population change in all U.S. counties that experienced hurricanes and tropical storms between 1980 and 2012. Our database allows for more generalizable conclusions by accounting for heterogeneity in current and past hurricane events and losses and past population trends. We find that hurricanes and tropical storms affect future population growth only in counties with growing, high-density populations, which are only 2 percent of all counties. In those counties, current year hurricane events and related losses suppress future population growth, although cumulative hurricane-related losses actually elevate population growth. Low-density counties and counties with stable or declining populations experience no effect of these weather events. Our analysis provides a methodologically informed explanation for contradictory findings in prior studies.

Population recovery in New Orleans after Hurricane Katrina: Exploring the potential role of stage migration in migration systems.

In this research brief, we explore how places affected by natural disasters recover their populations through indirect, or "stage," migration. Specifically, we consider the idea that post-disaster impediments (e.g., housing and property damage) in disaster-affected areas spawn migration flows toward and, over time, to disaster-affected areas through intermediary destinations. Taking as our case Orleans Parish over a five-year period after Hurricane Katrina, we show that stage migration accounted for up to about one-fourth of population recovery. We close by discussing the implications, limitations, and potential extensions of our work.

Recovery Migration After Hurricanes Katrina and Rita: Spatial Concentration and Intensification in the Migration System.

Changes in the human migration systems of the Gulf of Mexico coastline counties affected by Hurricanes Katrina and Rita provide an example of how climate change may affect coastal populations. Crude climate change models predict a mass migration of "climate refugees," but an emerging literature on environmental migration suggests that most migration will be short-distance and short-duration within existing migration systems, with implications for the population recovery of disaster-stricken places. In this research, we derive a series of hypotheses on recovery migration predicting how the migration system of hurricane-affected coastline counties in the Gulf of Mexico was likely to have changed between the pre-disaster and the recovery periods. We test these hypotheses using data from the Internal Revenue Service on annual county-level migration flows, comparing the recovery period migration system (2007-2009) with the pre-disaster period (1999-2004). By observing county-to-county ties and flows, we find that recovery migration was strong: the migration system of the disaster-affected coastline counties became more spatially concentrated, while flows within it intensified and became more urbanized. Our analysis demonstrates how migration systems are likely to be affected by the more intense and frequent storms anticipated by climate change scenarios, with implications for the population recovery of disaster-affected places.

The Long Term Recovery of New Orleans' Population after Hurricane Katrina.

Hurricane Katrina created a catastrophe in the city of New Orleans when the storm surge caused the levee system to fail on August 29, 2005. The destruction of housing displaced hundreds of thousands of residents for varying lengths of time, often permanently. It also revealed gaps in our knowledge of how population is recovered after a disaster causes widespread destruction of urban infrastructure, housing and workplaces, and how mechanisms driving housing recovery often produce unequal social, spatial and temporal population recovery. In this article, I assemble social, spatial and temporal explanatory frameworks for housing and population recovery and then review research on mobility - both evacuation and migration - after Hurricane Katrina. The review reveals a need for a comprehensive social, spatial and temporal framework for explaining inequality in population recovery and displacement. It also shows how little is known about in-migrants and permanent out-migrants after a disaster.

Measuring the Environmental Dimensions of Human Migration: The Demographer's Toolkit.

In recent years, the empirical literature linking environmental factors and human migration has grown rapidly and gained increasing visibility among scholars and the policy community. Still, this body of research uses a wide range of methodological approaches for assessing environment-migration relationships. Without comparable data and measures across a range of contexts, it is impossible to make generalizations that would facilitate the development of future migration scenarios. Demographic researchers have a large methodological toolkit for measuring migration as well as modeling its drivers. This toolkit includes population censuses, household surveys, survival analysis and multi-level modeling. This paper's purpose is to introduce climate change researchers to demographic data and methods and to review exemplary studies of the environmental dimensions of human migration. Our intention is to foster interdisciplinary understanding and scholarship, and to promote high quality research on environment and migration that will lead toward broader knowledge of this association.

The impact of housing displacement on the mental health of low-income parents after Hurricane Katrina.

Previous studies in the aftermath of natural disasters have demonstrated relationships between four dimensions of displacement - geographic distance from the predisaster community, type of postdisaster housing, number of postdisaster moves, and time spent in temporary housing - and adverse psychological outcomes. However, to date no study has explored how these dimensions operate in tandem. The literature is further limited by a reliance on postdisaster data. We addressed these limitations in a study of low-income parents, predominantly non-Hispanic Black single mothers, who survived Hurricane Katrina and who completed pre and postdisaster assessments (N = 392). Using latent profile analysis, we demonstrated three profiles of displacement experiences within the sample: (1) returned, characterized by return to a predisaster community; (2) relocated, characterized by relocation to a new community, and (3) unstably housed, characterized by long periods in temporary housing and multiple moves. Using regression analyses, we assessed the relationship between displacement profiles and three mental health outcomes (general psychological distress, posttraumatic stress, and perceived stress), controlling for predisaster characteristics and mental health indices and hurricane-related experiences. Relative to participants in the returned profile, those in the relocated profile had significantly higher general psychological distress and perceived stress, and those in the unstably housed profile had significantly higher perceived stress. Based on these results, we suggest interventions and policies that reduce postdisaster housing instability and prioritize mental health services in communities receiving evacuees.

Recovery Migration to the City of New Orleans after Hurricane Katrina: A Migration Systems Approach.

Hurricane Katrina's effect on the population of the City of New Orleans provides a model of how severe weather events, which are likely to increase in frequency and strength as the climate warms, might affect other large coastal cities. Our research focuses on changes in the migration system - defined as the system of ties between Orleans Parish and all other U.S. counties - between the pre-disaster (1999-2004) and recovery (2007-2009) periods. Using Internal Revenue Service county-to-county migration flow data, we find that in the recovery period Orleans Parish increased the number of migration ties with and received larger migration flows from nearby counties in the Gulf of Mexico coastal region, thereby spatially concentrating and intensifying the in-migration dimension of this predominantly urban system, while the out-migration dimension contracted and had smaller flows. We interpret these changes as the migration system relying on its strongest ties to nearby and less damaged counties to generate recovery in-migration.

Homeownership and Housing Displacement after Hurricane Katrina among Low-Income African-American Mothers in New Orleans.

OBJECTIVE: We evaluate the effect of pre-Katrina housing tenure and post-disaster financial resources on the odds of housing displacement after Hurricane Katrina for a sample of low-income African-American mothers. METHODS: Using longitudinal data from a sample of low-income African-American mothers with pre-Katrina measures of housing tenure and individual characteristics and post-Katrina indicators of disaster impacts, we estimate a multinomial logistic regression model predicting post-Katrina housing outcomes. RESULTS: Among low-income African-American mothers, homeowners' odds of being in their pre-Katrina home rather than a new home are greater than those of renters, while renters' odds of being in a pre-Katrina home are greater than those of subsidized housing residents, ceteris paribus. The difference in homeowners' and renters' odds is reduced to insignificance when access to private insurance is added to the model, although the difference for subsidized housing residents remains. CONCLUSION: Homeownership and disaster assistance protect against housing displacement. Renters, especially those in subsidized housing, were more vulnerable to housing loss after this disaster.

Warmth of the Welcome: Attitudes toward Immigrants and Immigration Policy.

Natives' attitudes toward immigrants and immigration policy are important factors in the context of reception of immigrants since they contribute to a warm or chilly welcome, which potentially shapes immigrant and ethnic identities and inter-group relations. Public opinion polls show a recent "warming" of Americans' traditional ambivalence about immigration. Empirical research on attitudes toward immigrants and racial groups formed by recent waves of immigrants resonate with the dynamic nature of Blumer's (1958) theory of prejudice as a sense of relative group position. To better understand this dynamism, research that intentionally contrasts study sites on conflict and contact conditions and the presence of absence of symbolic politics, as well as research with different native-born racial and ethnic groups, would reveal a broader range of natives' attitude formation processes and the role they play in immigrant reception.