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PurposeThe purpose of this paper is to investigate children's vulnerability to asthma and its relationship with marginalized locations. More specifically, the effects of zip code level social predictors on children's asthma and their conditionality on location in the Texas‐Mexico border region are explored. The border region is perhaps the most marginalized in the USA.Design/methodology/approachData for analysis comes from the State of Texas and the US Bureau of the Census. Negative binomial regression models are used to predict asthma hospitalizations using a set of social predictors. Then, interaction effects are used to test if social predictors are conditional on border location.FindingsWithin the state of Texas, location in a metropolitan area, location along the US‐Mexico border, percent Hispanic, percent African American and percent Native American are positive and significant predictors of asthma hospitalizations; social class is negative and significant. The effects of proportion of Hispanics who were foreign born, median year of home construction, and percent of homes with inadequate heating are conditional on a zip code's location relative to the US‐Mexico border, with the slopes being steeper in border locations. Findings in general suggest that locational and social factors intersect in marginalized places (i.e. border regions of Texas) to create vulnerability to asthma hospitalizations.Research limitations/implicationsThis study is conducted solely in the USA.Originality/valueAs sociologists continue to consider space as a factor in health inequalities, this paper demonstrates the utility of considering space as operating at more than one scale.

Abstract  Asthma is the number one chronic health condition facing children today; however, little is known about rural‐urban inequalities in asthma. This "area effects on health" study examines rural‐urban differences in childhood asthma hospitalizations within the state of Texas using negative binomial regression models. Effects associated with residence on the Texas‐Mexico border, where the majority of rural Texas children live, are also considered. Neighborhood‐level social class and proportion of the population that was native‐born Hispanic were significant predictors of asthma hospitalizations, independent of rural‐urban location. Conversely, proportion African American, Native American, and foreign‐born Hispanic, not a citizen; median year of home construction; and neighborhood location on the Texas‐Mexico border were conditional on urban‐rural location, and the strength of these predictors was stronger in rural areas. This suggests that locational and social factors intersect in marginalized spaces (like the rural and border regions of Texas) to create vulnerability to asthma hospitalizations.

International disaster volunteers are an important group of workers on the ground after a disaster who have not been the subject of much research. Utilizing survey data from volunteers with a non-governmental organization in Leogane, Haiti after the 12 January 2010 earthquake, this paper focuses on volunteers' characteristics, their health behaviors (i.e. protective and risky), and their interactions and relationships with their host community. The volunteer population was primarily made up of single young adults with a high level of education. They engaged in various protective health behaviors, with women more likely to use of bug repellent and sunscreen more frequently than men. The majority of volunteers believed that interactions with the host community were not significant to their work; however they believed that a strong relationship was important to the success of the relief effort. Disaster volunteer health behaviors and relationships with the host community should continue to be studied.

Objectives. Our objective is to examine spatial relationships between modeled criteria air pollutants (i.e., nitrous oxides, carbon monoxide, and ozone) and sociodemographics in metropolitan Phoenix, Arizona. Modeled air pollution offers environmental justice researchers a new and robust data source for representing chronic environmental hazards.Methods. We used multiple regression equations to predict criteria pollution levels using sociodemographic variables at the Census block group level.Results. We find that Census block groups with lower neighborhood socioeconomic status, higher proportions of Latino immigrants, and higher proportions of renters are exposed to higher levels of criteria air pollutants. Proportion African American, however, is not a significant predictor of criteria air pollution in the Phoenix metro area.Conclusions. These findings demonstrate clear social‐class and ethnic‐based environmental injustices in the distribution of air pollution. We attribute these patterns to the role of white privilege in the historical and contemporary development of industrial and transportation corridors in Phoenix in relation to racially segregated neighborhoods. Although all people are implicated in the production of criteria pollutants, lower‐income and ethnic‐minority residents are disproportionately exposed in metropolitan Phoenix.