Neighbourhoods in eco-epidemiologic research: Delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur

Chaix, Basile; Merlo, Juan; Evans, David W.; Leal, Cinira; Havard, Sabrina

doi:10.1016/j.socscimed.2009.07.018

Cited by 184 publications

(133 citation statements)

References 19 publications

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“…Chaix et al (2009) articulate key theoretical considerations for the definition of neighborhoods. An initial distinction can be made between territorial neighborhoods versus ego-centered neighborhoods .…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to territorial neighborhoods, ego-centered neighborhoods are not mutually exclusive territories and instead are centered on individuals’ residences so that overlap of individuals residing in close proximity is possible, what Chaix et al (2009, p. 1306) refer to as “sliding territories” as opposed to “fixed territories”. These neighborhoods define individual exposure areas and don't have fixed boundaries but instead have sliding boundaries that shift depending on the focal residence.…”

Section: Introductionmentioning

confidence: 99%

“…These neighborhoods define individual exposure areas and don't have fixed boundaries but instead have sliding boundaries that shift depending on the focal residence. Following Chaix et al (2009), and because the present research is interested in individual or multi-level analyses as opposed to ecological analyses, the remaining discussion of neighborhood focuses solely on ego-centered neighborhoods.…”

Section: Introductionmentioning

confidence: 99%

“…anisotropic) neighborhoods of non-uniform shapes. Another distinction is between residents’ perceived versus objectively experienced neighborhoods (Chaix et al, 2009) both of which exemplify resident-defined as opposed to researcher-imposed neighborhoods.…”

Section: Introductionmentioning

confidence: 99%

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Conceptualizing and comparing neighborhood and activity space measures for food environment research

et al. 2014

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Greater accessibility to geospatial technologies has led to a surge of spatialized public health research, much of which has focused on food environments. The purpose of this study was to analyze differing spatial measures of exposure to supermarkets and farmers’ markets among women of reproductive age in eastern North Carolina. Exposure measures were derived using participant-defined neighborhoods, investigator-defined road network neighborhoods, and activity spaces incorporating participants’ time space behaviors. Results showed that mean area for participant-defined neighborhoods (0.04 sq. miles) was much smaller than 2.0 mile road network neighborhoods (3.11 sq. miles) and activity spaces (26.36 sq. miles), and that activity spaces provided the greatest market exposure. The traditional residential neighborhood concept may not be particularly relevant for all places. Time-space approaches capturing activity space may be more relevant, particularly if integrated with mixed methods strategies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Conceptualizing and comparing neighborhood and activity space measures for food environment research

et al. 2014

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“…These diverging results—decreasing segregation measured as unevenness (dissimilarity index) and increasing segregation when it comes to differences in concentration between areas—point to the need for a discussion of how to assess segregation trends. In this paper we measured segregation in a different way compared to most previous Swedish segregation studies, employing a multi-scalar approach (Chaix et al 2009; Clark et al 2015; Fowler 2016) and using individualised neighbourhoods; thereby giving a comprehensive view of segregation trends, and providing a basis for a discussion of how migration has influenced migrant segregation trends in Sweden.…”

Section: Concluding Discussionmentioning

confidence: 99%

Residential Segregation of European and Non-European Migrants in Sweden: 1990–2012

et al. 2018

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In this paper, we analyse how a migrant population that is both expanding and changing in composition has affected the composition of Swedish neighbourhoods at different scales. The analysis is based on Swedish geocoded individual-level register data for the years 1990, 1997, 2005, and 2012. This allows us to compute and analyse the demographic composition of neighbourhoods that range in size from encompassing the nearest 100 individuals to the nearest 409,600 individuals. First, the results confirm earlier findings that migrants, especially those from non-European countries, face high levels of segregation in Sweden. Second, large increases in the non-European populations in combination with high levels of segregation have increased the proportion of non-European migrants living in neighbourhoods that already have high proportions of non-European migrants. Third, in contrast to what has been the established image of segregation trends in Sweden, and in an apparent contrast to the finding that non-European migrants increasingly live in migrant-dense neighbourhoods, our results show that segregation, when defined as an uneven distribution of different populations across residential contexts, is not increasing. On the contrary, for both European migrants from 1990 and non-European migrants from 1997, there is a downward trend in unevenness as measured by the dissimilarity index at all scale levels. However, if segregation is measured as differences in the neighbourhood concentration of migrants, segregation has increased.Electronic supplementary materialThe online version of this article (10.1007/s10680-018-9478-0) contains supplementary material, which is available to authorized users.

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Fast Food Restaurants and Food Stores

et al. 2011

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Background A growing body of cross-sectional, small-sample research has led to policy strategies to reduce food deserts – neighborhoods with little or no access to healthy foods – by limiting fast food restaurants and small food stores and increasing access to supermarkets in low-income neighborhoods. Methods We used 15 years of longitudinal data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a cohort of U.S. young adults (n=5,115, 18–30 years at baseline), with linked time-varying geographic information system-derived food resource measures. Using repeated measures from four examination periods (n=15,854 person-exam observations) and conditional regression (conditioned on the individual), we modeled fast food consumption, diet quality, and meeting fruit and vegetable recommendations as a function of fast food chain, supermarket, or grocery store availability (counts per population) within 1 kilometer (km), 1–2.9km, 3–4.9km, and 5–8km of respondents’ homes. Models were sex-stratified, controlled for individual sociodemographics and neighborhood poverty, and tested for interaction by individual-level income. Results Fast food consumption was related to fast food availability in low-income respondents, particularly within 1–2.9km of homes among men [coefficient (95% CI) up to: 0.34 (0.16, 0.51)]. Greater supermarket availability was generally unrelated to diet quality and fruit and vegetable intake and relationships between grocery store availability and diet outcomes were mixed. Conclusions Our findings provide some evidence for zoning restrictions on fast food restaurants within 3km of low-income residents, but suggest that increased access to food stores may require complementary or alternative strategies to promote dietary behavior change.

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Neighbourhoods in eco-epidemiologic research: Delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur

Cited by 184 publications

References 19 publications

Conceptualizing and comparing neighborhood and activity space measures for food environment research

Conceptualizing and comparing neighborhood and activity space measures for food environment research

Residential Segregation of European and Non-European Migrants in Sweden: 1990–2012

Fast Food Restaurants and Food Stores

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