Levels of analysis for the study of environmental health disparities

Soobader, Mah-Jabeen; Cubbin, Catherine; Gee, Gilbert C.; Rosenbaum, Arlene; Laurenson, James P.

doi:10.1016/j.envres.2006.05.001

Cited by 51 publications

(45 citation statements)

References 26 publications

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“…Here, social epidemiology offers a theoretical foundation for our analysis. In particular, an ecosocial epidemiological approach underscores the need to (1) explore the social production, or origins, of health disparities 22,23 ; (2) uncover the multilevel factors that drive the distribution of disease, 24,25 or, in our case, exposure; and (3) highlight the "agency and accountability" of multilevel actors in creating these disparities and embodiments of disease. 22,24 Our work draws on several social epidemiology---inspired frameworks.…”

Section: 14mentioning

confidence: 99%

The Drinking Water Disparities Framework: On the Origins and Persistence of Inequities in Exposure

2014

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With this article, we develop the Drinking Water Disparities Framework to explain environmental injustice in the context of drinking water in the United States. The framework builds on the social epidemiology and environmental justice literatures, and is populated with 5 years of field data (2005–2010) from California’s San Joaquin Valley. We trace the mechanisms through which natural, built, and sociopolitical factors work through state, county, community, and household actors to constrain access to safe water and to financial resources for communities. These constraints and regulatory failures produce social disparities in exposure to drinking water contaminants. Water system and household coping capacities lead, at best, to partial protection against exposure. This composite burden explains the origins and persistence of social disparities in exposure to drinking water contaminants.

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Section: 14mentioning

confidence: 99%

The Drinking Water Disparities Framework: On the Origins and Persistence of Inequities in Exposure

2014

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“…In particular, the proximity within which area-level socioeconomic disadvantage might influence birth outcomes is unknown. Furthermore, delineation of meaningful geographic exposures may vary between SGA and LGA because they may involve different causal pathways (Coulton, et al, 2012; Diez Roux, 2007; Spielman and Yoo, 2009; Daniel, et al, 2008; Soobader, et al, 2006; Flowerdew, et al, 2008; Krieger, et al, 2003) . That is, we theorize effects on LGA to operate through neighborhood environments that promote obesity-related behaviors (Diez Roux and Mair, 2010; Schempf, et al, 2009; Daniel, et al, 2008; Culhane and Elo, 2005; Vinikoor-Imler, et al, 2011; Elo, et al, 2009; Metcalfe, et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Small and large size for gestational age and neighborhood deprivation measured within increasing proximity to homes

et al. 2014

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Neighborhood deprivation is consistently associated with greater risk of low birthweight. However, large birth size is increasingly relevant but overlooked in neighborhood health research, and proximity within which neighborhood deprivation may affect birth outcomes is unknown. We estimated race/ethnic-specific effects of neighborhood deprivation index (NDI) within 1, 3, 5, and 8 km buffers around Oregon Pregnancy Risk Assessment Monitoring System (n=3,716; 2004-2007) respondents’ homes on small and large for gestational age (SGA, LGA). NDI was positively associated with LGA and SGA in most race/ethnic groups. The results varied little across the four buffer sizes.

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“…Sin embargo, debe tenerse claro que éste es solo un primer acercamiento al modelo, un segundo abordaje del tema requiere la recopilación de información sobre los factores individuales. Un modelo interesante es el planteado por Soobader et al (2006), realizando un análisis multinivel para determinar los efectos en forma conjunta y separada. …”

Section: Discussionunclassified

Salud y ambiente en Centroamérica según modelo de factores de estrés

Herrera

Xirinachs

2008

Rev. Ambientales.

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Luego de dar cuenta del contexto geográfico, social y económico al que pertenece el asentamiento Louisiana (en Se da cuenta de la aplicación del modelo exposición-enfermedad-estrés (planteado por Gee y Payne-Sturger [2004]) a nivel de regiones geográficas centroamericanas para explicar por qué la salud es diferente en las distintas regiones. Se demuestra la correlación entre ciertos factores (relacionados con recursos del vecindario, con estresores comunitarios, con factores estructurales y con peligros ambientales) y las diferencias en salud en Centroamérica. Se determinó seis factores que explican el 85 por ciento de la variabilidad.

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Levels of analysis for the study of environmental health disparities

Cited by 51 publications

References 26 publications

The Drinking Water Disparities Framework: On the Origins and Persistence of Inequities in Exposure

The Drinking Water Disparities Framework: On the Origins and Persistence of Inequities in Exposure

Small and large size for gestational age and neighborhood deprivation measured within increasing proximity to homes

Salud y ambiente en Centroamérica según modelo de factores de estrés

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