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Browning CR, Tarrence J, Calder CA, Pinchak NP, Boettner B. Geographic Isolation, Compelled Mobility, and Everyday Exposure to Neighborhood Racial Composition Among Urban Youth . AJS; AMERICAN JOURNAL OF SOCIOLOGY 2022; 128:914-961. [PMID: 38213504 PMCID: PMC10783811 DOI: 10.1086/721666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Foundational urban social theories view heterogeneity of exposure to spatial and social contexts as essential aspects of the urban experience. In contrast, contemporary neighborhood research emphasizes the isolation of city dwellers - particularly residents of racially segregated neighborhoods. Using geospatial data on a sample of youth from the 2014-16 Columbus, OH-based Adolescent Health and Development in Context study, we explore the extent to which the neighborhood locations of everyday activities vary with respect to residential racial composition. In the context of segregated US metro areas, the geographic isolation approach expects home census tract racial composition to powerfully shape the racial composition of activity location neighborhoods. In this view, Black youth residing in high proportion Black neighborhoods are expected to spend the vast majority of their time exposed to similarly Black-concentrated neighborhoods. Consistent with an alternative compelled mobility approach, we find that Black youth residing in high proportion Black neighborhoods exhibit among the highest levels of heterogeneity in the racial composition of neighborhoods encountered. Moreover, Black youth residing in high proportion Black neighborhoods are expected to spend 39% of their non-home time (roughly 2.5 hours a day) in low proportion Black neighborhoods compared to 23% (1.5 hours) in high proportion Black neighborhoods. Exposures to low proportion Black neighborhoods among these youth are largely driven by organizationally-based resource seeking. These findings call into question the assumption that residence in Black segregated neighborhoods leads to homogeneously Black segregated neighborhood exposures and encourage theoretical development and data collection strategies that acknowledge the potential for significant heterogeneity in the everyday neighborhood experiences of urban youth.
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Zhou S, Li Y, Chi G, Yin J, Oravecz Z, Bodovski Y, Friedman NP, Vrieze SI, Chow SM. GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data. JOURNAL OF BEHAVIORAL DATA SCIENCE 2021; 1:127-155. [PMID: 35281484 PMCID: PMC8915920 DOI: 10.35566/jbds/v1n2/p5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Global Positioning System (GPS) data have become one of the routine data streams collected by wearable devices, cell phones, and social media platforms in this digital age. Such data provide research opportunities in that they may provide contextual information to elucidate where, when, and why individuals engage in and sustain particular behavioral patterns. However, raw GPS data consisting of densely sampled time series of latitude and longitude coordinate pairs do not readily convey meaningful information concerning intra-individual dynamics and inter-individual differences; substantial data processing is required. Raw GPS data need to be integrated into a Geographic Information System (GIS) and analyzed, from which the mobility and activity patterns of individuals can be derived, a process that is unfamiliar to many behavioral scientists. In this tutorial article, we introduced GPS2space, a free and open-source Python library that we developed to facilitate the processing of GPS data, integration with GIS to derive distances from landmarks of interest, as well as extraction of two spatial features: activity space of individuals and shared space between individuals, such as members of the same family. We demonstrated functions available in the library using data from the Colorado Online Twin Study to explore seasonal and age-related changes in individuals' activity space and twin siblings' shared space, as well as gender, zygosity and baseline age-related differences in their initial levels and/or changes over time. We concluded with discussions of other potential usages, caveats, and future developments of GPS2space.
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Affiliation(s)
- Shuai Zhou
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Yanling Li
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Guangqing Chi
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Junjun Yin
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Zita Oravecz
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Yosef Bodovski
- The Pennsylvania State University, University Park, PA 16801, USA
| | | | | | - Sy-Miin Chow
- The Pennsylvania State University, University Park, PA 16801, USA
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Zhou S, Li Y, Chi G, Yin J, Oravecz Z, Bodovski Y, Friedman NP, Vrieze SI, Chow SM. GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data. JOURNAL OF BEHAVIORAL DATA SCIENCE 2021. [PMID: 35281484 DOI: 10.5281/zenodo.4672651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Global Positioning System (GPS) data have become one of the routine data streams collected by wearable devices, cell phones, and social media platforms in this digital age. Such data provide research opportunities in that they may provide contextual information to elucidate where, when, and why individuals engage in and sustain particular behavioral patterns. However, raw GPS data consisting of densely sampled time series of latitude and longitude coordinate pairs do not readily convey meaningful information concerning intra-individual dynamics and inter-individual differences; substantial data processing is required. Raw GPS data need to be integrated into a Geographic Information System (GIS) and analyzed, from which the mobility and activity patterns of individuals can be derived, a process that is unfamiliar to many behavioral scientists. In this tutorial article, we introduced GPS2space, a free and open-source Python library that we developed to facilitate the processing of GPS data, integration with GIS to derive distances from landmarks of interest, as well as extraction of two spatial features: activity space of individuals and shared space between individuals, such as members of the same family. We demonstrated functions available in the library using data from the Colorado Online Twin Study to explore seasonal and age-related changes in individuals' activity space and twin siblings' shared space, as well as gender, zygosity and baseline age-related differences in their initial levels and/or changes over time. We concluded with discussions of other potential usages, caveats, and future developments of GPS2space.
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Affiliation(s)
- Shuai Zhou
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Yanling Li
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Guangqing Chi
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Junjun Yin
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Zita Oravecz
- The Pennsylvania State University, University Park, PA 16801, USA
| | - Yosef Bodovski
- The Pennsylvania State University, University Park, PA 16801, USA
| | | | | | - Sy-Miin Chow
- The Pennsylvania State University, University Park, PA 16801, USA
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Browning CR, Calder CA, Boettner B, Tarrence J, Khan K, Soller B, Ford J. Neighborhoods, Activity Spaces, and the Span of Adolescent Exposures. AMERICAN SOCIOLOGICAL REVIEW 2021; 86:201-233. [PMID: 34992302 PMCID: PMC8725782 DOI: 10.1177/0003122421994219] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Since the inception of urban sociology, the "neighborhood" has served as the dominant context thought to capture developmentally significant youth experiences beyond the home. Yet no large-scale study has examined patterns of exposure to the most commonly used operationalization of neighborhood - the census tract - among urban youth. Using smartphone GPS data from the Adolescent Health and Development in Context study (N=1405), we estimate the amount of time youth spend in residential neighborhoods and consider explanations for variation in neighborhood exposure. On average, youth (ages 11 to 17) spend 5.7% of their waking time in their neighborhood but not at home, 60% at home, and 34.3% outside their neighborhood. Multilevel negative binomial regression models indicate that residence in economically disadvantaged neighborhoods is associated with less time in neighborhood. Higher levels of local violence and the absence of a neighborhood school the youth is eligible to attend are negatively associated with time in neighborhood and mediate the concentrated disadvantage effect. Fractional multinomial logit models indicate that higher violence is linked with increased time at home while school absence is associated with increased outside-neighborhood time. Theoretical development and empirical research on neighborhood effects should incorporate findings on the extent and nature of neighborhood and broader activity space exposures among urban youth.
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Hinrichs T, Zanda A, Fillekes MP, Bereuter P, Portegijs E, Rantanen T, Schmidt-Trucksäss A, Zeller AW, Weibel R. Map-based assessment of older adults' life space: validity and reliability. Eur Rev Aging Phys Act 2020; 17:21. [PMID: 33292160 PMCID: PMC7700712 DOI: 10.1186/s11556-020-00253-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 11/20/2020] [Indexed: 11/10/2022] Open
Abstract
Background Map-based tools have recently found their way into health-related research. They can potentially be used to quantify older adults’ life-space. This study aimed to evaluate the validity (vs. GPS) and the test-retest reliability of a map-based life-space assessment (MBA). Methods Life-space of one full week was assessed by GPS and by MBA. MBA was repeated after approximately 3 weeks. Distance-related (mean and maximum distance from home) and area-related (convex hull, standard deviational ellipse) life-space indicators were calculated. Intraclass correlations (MBA vs. GPS and test-retest) were calculated in addition to Bland-Altman analyses (MBA vs. GPS). Results Fifty-eight older adults (mean age 74, standard deviation 5.5 years; 39.7% women) participated in the study. Bland-Altman analyses showed the highest agreement between methods for the maximum distance from home. Intraclass correlation coefficients ranged between 0.19 (95% confidence interval 0 to 0.47) for convex hull and 0.72 (95% confidence interval 0.52 to 0.84) for maximum distance from home. Intraclass correlation coefficients for test-retest reliability ranged between 0.04 (95% confidence interval 0 to 0.30) for convex hull and 0.43 (95% confidence interval 0.19 to 0.62) for mean distance from home. Conclusions While acceptable validity and reliability were found for the distance-related life-space parameters, MBA cannot be recommended for the assessment of area-related life-space parameters.
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Affiliation(s)
- Timo Hinrichs
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
| | - Adriana Zanda
- Department of Geography, University of Zurich, Zurich, Switzerland
| | - Michelle P Fillekes
- Department of Geography, University of Zurich, Zurich, Switzerland.,University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland
| | - Pia Bereuter
- Institute of Geomatics Engineering, University of Applied Sciences and Arts, Northwestern Switzerland, Muttenz, Switzerland
| | - Erja Portegijs
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyvaskyla, Jyvaskyla, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyvaskyla, Jyvaskyla, Finland
| | - Arno Schmidt-Trucksäss
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland
| | - Andreas W Zeller
- Centre for Primary Health Care, University of Basel, Basel, Switzerland
| | - Robert Weibel
- Department of Geography, University of Zurich, Zurich, Switzerland.,University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland
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Alexandre N, Cédric S, Chaix B, Yan K. Combining social network and activity space data for health research: tools and methods. Health Place 2020; 66:102454. [PMID: 33032243 PMCID: PMC7534796 DOI: 10.1016/j.healthplace.2020.102454] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 01/09/2023]
Abstract
Contextual factors influencing population health have received substantial attention, especially with regard to people's social networks and the roles of built environments in their activity spaces. Yet little health research has considered spatial and social contexts simultaneously, often because of a lack of existing data. This paper presents a tool for collecting relational data on social network and activity space that extends an existing map-based questionnaire with the addition of a name generator. We then illustrate how network analysis provides a useful framework for studying connections between social and spatial contexts using data collected in the Contrasted Urban settings for Healthy Aging research project.
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Affiliation(s)
- Naud Alexandre
- Ecole de Sante Publique, Département de Médecine Sociale et Préventive, Université de Montréal, 7101, Avenue du Parc, Montréal, Qc, H3N 1X9, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Axe de Recherche Santé des Populations, Pavillon S, 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada; Universite de Strasbourg, CNRS, IPHC UMR 7178, 23 Rue du Loess, 67200, Strasbourg, France.
| | - Sueur Cédric
- Universite de Strasbourg, CNRS, IPHC UMR 7178, 23 Rue du Loess, 67200, Strasbourg, France; Institut Universitaire de France, Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation, 1 Rue Descartes, 75231 PARIS CEDEX 05, France.
| | - Basile Chaix
- Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Nemesis Research Team, 6 Boulevard Vincent Auriol, 75646 Paris, France.
| | - Kestens Yan
- Ecole de Sante Publique, Département de Médecine Sociale et Préventive, Université de Montréal, 7101, Avenue du Parc, Montréal, Qc, H3N 1X9, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Axe de Recherche Santé des Populations, Pavillon S, 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada.
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Vlaar J, Brussoni M, Janssen I, Mâsse LC. Roaming the Neighbourhood: Influences of Independent Mobility Parenting Practices and Parental Perceived Environment on Children's Territorial Range. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16173129. [PMID: 31466293 PMCID: PMC6747532 DOI: 10.3390/ijerph16173129] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 08/26/2019] [Accepted: 08/27/2019] [Indexed: 02/06/2023]
Abstract
Children’s independent mobility (IM), their freedom to move about their neighbourhood without supervision by adults, has been in steady decline in recent decades. Previous research has linked perceptions of the environment with various measures of IM, but recently concerns have been raised regarding inconsistency in measuring IM. This study used various measures of IM and aimed to address how parental perceptions of the neighbourhood environment are associated with children’s territorial range (actual IM), as well as how this relationship is mediated by IM parenting practices (allowed IM). A sample of 105 child/parent dyads from Vancouver, Canada participated in this study. Children (age 10–13) wore a global positioning system (GPS) watch and an accelerometer and completed an activity diary for seven days to assess their territorial range. Parents completed a questionnaire that assessed perceptions of their neighbourhood environment and IM parenting practices—license for IM and roaming allowance. Path analyses were used to address the research aims. License for IM and roaming allowance mediated the relationship between perceived walking facilities, crime safety, and neighbourhood relations and children’s territorial range. Findings suggest that future interventions to increase children’s territorial range should focus primarily on attitude and behaviour change among parents to grant children more freedom.
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Affiliation(s)
- Janae Vlaar
- School of Population and Public Health, University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada
| | - Mariana Brussoni
- School of Population and Public Health, University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada.
- British Columbia Children's Hospital Research Institute, 4480 Oak St., Vancouver, BC V6H 3N1, Canada.
- Department of Pediatrics, University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada.
| | - Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, 99 University Ave., Kingston, ON K7L 3N6, Canada
| | - Louise C Mâsse
- School of Population and Public Health, University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada.
- British Columbia Children's Hospital Research Institute, 4480 Oak St., Vancouver, BC V6H 3N1, Canada.
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Lopes F, Cordovil R, Neto C. Independent Mobility and Social Affordances of Places for Urban Neighborhoods: A Youth-Friendly Perspective. Front Psychol 2018; 9:2198. [PMID: 30483200 PMCID: PMC6243082 DOI: 10.3389/fpsyg.2018.02198] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 10/23/2018] [Indexed: 01/21/2023] Open
Abstract
Meaning of place is usually approached as slow social cognitive construction. However, grounded on the theory of affordances, it may also stem from direct perception-action processes, which enable the formation of immediate perceived functional, social or symbolic meaning of place (Raymond et al., 2017b). In the present study, affordances of places, which are perceived by a specific perceiver in a specific place, were mapped using a web-map survey. Each place offers opportunities for interaction, behavior, use, feeling or meaning, which is directly perceived and actualized there. This paper aims at identifying the degree of youth-friendliness of urban neighborhoods using the hypothetical intertwined model of independent mobility and actualized affordances (Kyttä, 2004) combined with place use and meaning (Broberg et al., 2013a). SoftGISchildren methodology (Broberg et al., 2013a) was adopted to carry out a cross-sectional research, involving 145 sixth to ninth graders of the Great Lisbon area. SoftGIS integrates Public Participation Geographic Information Systems (PPGIS), enabling collection and place mapping of daily subjective environmental experiences in the physical environment, consequently allowing for individuals to be actively engaged in public processes of participation (Brown and Kyttä, 2014). A place based web survey called "Ideal City: a game of graphic imagination" was adopted. Participants were asked to map their home place, select and mark social, functional, leisure and emotional place transactions, and report actual and ideal mobility to these places. Findings on mobility showed that shorter distances to meaningful affordances of places promote active and independent travel; ideally, youths would like to be more frequently active and more frequently autonomous. As for meaningful places, a total of 1632 affordances were localized, with a higher number on social category. Neighborhood area (500 m around home place) was assessed as youth-friendly, where active and independent travel occurred more frequently, and social affordances were the most expressive type. Relational and affectional experience in the neighborhood places was meaningful for youth. Municipalities should consider these features when planning, designing and managing residential areas aiming for the well-being and health of young citizens; and include youths as specialists of space (spatialists) in planning participatory processes (PPGIS).
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Affiliation(s)
- Frederico Lopes
- Laboratory of Motor Behavior, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Rita Cordovil
- Laboratory of Motor Behavior, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.,Centro Interdisciplinar de Performance Humana, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Carlos Neto
- Laboratory of Motor Behavior, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
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Reid CE, Kubzansky LD, Li J, Shmool JL, Clougherty JE. It's not easy assessing greenness: A comparison of NDVI datasets and neighborhood types and their associations with self-rated health in New York City. Health Place 2018; 54:92-101. [DOI: 10.1016/j.healthplace.2018.09.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 06/12/2018] [Accepted: 09/04/2018] [Indexed: 10/28/2022]
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de Almeida Célio F, Friche AADL, Jennings MZ, Andrade ACDS, Xavier CC, Proietti F, Coulton CJ, Caiaffa WT. Contextual characteristics associated with the perceived neighbourhood scale in a cross-sectional study in a large urban centre in Brazil. BMJ Open 2018; 8:e021445. [PMID: 30127050 PMCID: PMC6104762 DOI: 10.1136/bmjopen-2017-021445] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION Health outcomes have been associated with physical and social characteristics of neighbourhoods, but little is known about the relationship between contextual factors and perceived neighbourhood scale. OBJECTIVE To identify the contextual factors associated with self-perceived neighbourhood scale. METHODS We analysed data from a cross-sectional population-based study in Belo Horizonte, Brazil, that took place in 2008-2009. The dependent variable was perceived neighbourhood, encoded as an ordinal scale based on a brief description of the concept of the neighbourhood, and two independent scales relating distance, expressed in terms of geography and time. Street connectivity, demographic density and residents' perceptions of the neighbourhoods' physical and social environment were used as contextual predictors. Individual characteristics were used as covariates. Multilevel ordinal logistic regression models estimated the association between perceived neighbourhood scale and contextual characteristics. RESULTS Residents that perceive better walkability (OR 2.96; 95% CI 1.29 to 3.82) and high amounts of violence (OR 1.35; 95% CI 1.12 to 1.62) perceived their neighbourhoods to be larger, even after adjusting for individual characteristics. CONCLUSION There are contextual factors that are associated with self-perceived neighbourhood scale. Careful definition of neighbourhood scale is a key factor in improving the results of eco-epidemiological studies. Although these findings must be further explored in other studies, these results can contribute to a better understanding of an appropriate choice of neighbourhood scale, especially for cities in Latin America.
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Affiliation(s)
- Fabiano de Almeida Célio
- Observatory for Urban Health in Belo Horizonte, School of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Amélia Augusta de Lima Friche
- Observatory for Urban Health in Belo Horizonte, School of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - M Zane Jennings
- School of Applied Social Sciences, Case Western Reserve University Jack Joseph and Morton Mandel School of Applied Social Sciences, Cleveland, Ohio, USA
| | | | | | - Fernando Proietti
- Faculdade de Saúde e Ecologia Humana, Vespasiano, Brazil
- Epidemiology, Centro de Pesquisas René Rachou, Belo Horizonte, Minas Gerais, Brazil
| | - Claudia J Coulton
- School of Applied Social Sciences, Case Western Reserve University Jack Joseph and Morton Mandel School of Applied Social Sciences, Cleveland, Ohio, USA
| | - Waleska Teixeira Caiaffa
- Observatory for Urban Health in Belo Horizonte, School of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
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Integrating activity spaces in health research: Comparing the VERITAS activity space questionnaire with 7-day GPS tracking and prompted recall. Spat Spatiotemporal Epidemiol 2018; 25:1-9. [PMID: 29751887 DOI: 10.1016/j.sste.2017.12.003] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Revised: 12/06/2017] [Accepted: 12/22/2017] [Indexed: 10/18/2022]
Abstract
BACKGROUND Accounting for daily mobility allows assessment of multiple exposure to environments. This study compares spatial data obtained (i) from an interactive map-based questionnaire on regular activity locations (VERITAS) and (ii) from GPS tracking. METHODS 234 participants of the RECORD GPS Study completed the VERITAS questionnaire and wore a GPS tracker for 7 days. Analyses illustrate the spatial match between both datasets. RESULTS For half of the sample, 85.5% of GPS data fell within 500 m of a VERITAS location. The median minimum distance between a VERITAS location and a GPS coordinate ranged from 0.4 m for home to slightly over 100 m for a recreational destination. CONCLUSIONS There is a spatial correspondence between destinations collected through VERITAS and 7-day GPS tracking. Both collection methods offer complementary ways to assess daily mobilities, useful to study environmental determinants of health and health inequities.
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12
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“Contextualizing Context”: Reconciling Environmental Exposures, Social Networks, and Location Preferences in Health Research. Curr Environ Health Rep 2017; 4:51-60. [DOI: 10.1007/s40572-017-0121-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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13
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Duncan DT, Kapadia F, Regan SD, Goedel WC, Levy MD, Barton SC, Friedman SR, Halkitis PN. Feasibility and Acceptability of Global Positioning System (GPS) Methods to Study the Spatial Contexts of Substance Use and Sexual Risk Behaviors among Young Men Who Have Sex with Men in New York City: A P18 Cohort Sub-Study. PLoS One 2016; 11:e0147520. [PMID: 26918766 PMCID: PMC4769145 DOI: 10.1371/journal.pone.0147520] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 01/05/2016] [Indexed: 01/26/2023] Open
Abstract
Background No global positioning system (GPS) technology study has been conducted among a sample of young gay, bisexual, and other men who have sex with men (YMSM). As such, the purpose of this study was to evaluate the feasibility and acceptability of using GPS methods to understand the spatial context of substance use and sexual risk behaviors among a sample of YMSM in New York City, a high-risk population. Methods Data came from a subsample of the ongoing P18 Cohort Study (n = 75). GPS feasibility and acceptability among participants was measured with: 1) a pre- and post-survey and 2) adherence to the GPS protocol which included returning the GPS device, self-report of charging and carrying the GPS device as well as objective data analyzed from the GPS devices. Analyses of the feasibility surveys were treated as repeated measures as each participant had a pre- and post-feasibility survey. When comparing the similar GPS survey items asked at baseline and at follow-up, we present percentages and associated p-values based on chi-square statistics. Results Participants reported high ratings of pre-GPS acceptability, ease of use, and low levels of wear-related concerns in addition to few concerns related to safety, loss, or appearance, which were maintained after baseline GPS feasibility data collection. The GPS return rate was 100%. Most participants charged and carried the GPS device on most days. Of the total of 75 participants with GPS data, 75 (100%) have at least one hour of GPS data for one day and 63 (84%) had at least one hour on all 7 days. Conclusions Results from this pilot study demonstrate that utilizing GPS methods among YMSM is feasible and acceptable. GPS devices may be used in spatial epidemiology research in YMSM populations to understand place-based determinants of health such as substance use and sexual risk behaviors.
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Affiliation(s)
- Dustin T. Duncan
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
- College of Global Public Health, New York University, New York, NY, United States of America
- Population Center, New York University, New York, NY, United States of America
- Center for Health, Identity, Behavior and Prevention Studies, New York University, New York, NY, United States of America
- Center for Drug Use and HIV Research, New York University College of Nursing, New York, NY, United States of America
- Center for Data Science, New York University, New York, NY, United States of America
- * E-mail:
| | - Farzana Kapadia
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
- College of Global Public Health, New York University, New York, NY, United States of America
- Population Center, New York University, New York, NY, United States of America
- Center for Health, Identity, Behavior and Prevention Studies, New York University, New York, NY, United States of America
- Center for Drug Use and HIV Research, New York University College of Nursing, New York, NY, United States of America
| | - Seann D. Regan
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
| | - William C. Goedel
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
- College of Global Public Health, New York University, New York, NY, United States of America
| | - Michael D. Levy
- Center for Health, Identity, Behavior and Prevention Studies, New York University, New York, NY, United States of America
| | - Staci C. Barton
- Center for Health, Identity, Behavior and Prevention Studies, New York University, New York, NY, United States of America
| | - Samuel R. Friedman
- Center for Drug Use and HIV Research, New York University College of Nursing, New York, NY, United States of America
- Institute of Infectious Disease Research, National Development and Research Institutes, Inc., New York, NY, United States of America
| | - Perry N. Halkitis
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
- College of Global Public Health, New York University, New York, NY, United States of America
- Population Center, New York University, New York, NY, United States of America
- Center for Health, Identity, Behavior and Prevention Studies, New York University, New York, NY, United States of America
- Center for Drug Use and HIV Research, New York University College of Nursing, New York, NY, United States of America
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14
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Kestens Y, Chaix B, Shareck M, Vallée J. Comments on Melis et al. The Effects of the Urban Built Environment on Mental Health: A Cohort Study in a Large Northern Italian City. Int. J. Environ. Res. Public Health, 2015, 12, 14898-14915. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13030250. [PMID: 26927137 PMCID: PMC4808913 DOI: 10.3390/ijerph13030250] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 02/17/2016] [Indexed: 11/20/2022]
Affiliation(s)
- Yan Kestens
- Research Theme of Risks, Prevention and Health Promotion, Montreal University Research Center (CRCHUM), 850, Rue St.-Denis, Montréal, QC H2X 0A9, Canada.
- Department of Social and Preventive Medicine, École de Santé Publique de l'Université de Montréal (ESPUM), 7101, Rue du Parc, Montréal, QC H3N 1X9, Canada.
| | - Basile Chaix
- Inserm, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis research team, 27 Rue Chaligny, 75571 Paris, France.
| | - Martine Shareck
- Department of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK.
| | - Julie Vallée
- Centre National de la Recherche Scientifique (CNRS), UMR Géographie-Cités, 13 Rue du Four, 75006 Paris, France.
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15
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Charreire H, Feuillet T, Roda C, Mackenbach JD, Compernolle S, Glonti K, Bárdos H, Le Vaillant M, Rutter H, McKee M, De Bourdeaudhuij I, Brug J, Lakerveld J, Oppert JM. Self-defined residential neighbourhoods: size variations and correlates across five European urban regions. Obes Rev 2016; 17 Suppl 1:9-18. [PMID: 26879109 DOI: 10.1111/obr.12380] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 11/28/2022]
Abstract
The neighbourhood is recognized as an important unit of analysis in research on the relation between obesogenic environments and development of obesity. One important challenge is to define the limits of the residential neighbourhood, as perceived by study participants themselves, in order to improve our understanding of the interaction between contextual features and patterns of obesity. An innovative tool was developed in the framework of the SPOTLIGHT project to identify the boundaries of neighbourhoods as defined by participants in five European urban regions. The aims of this study were (i) to describe self-defined neighbourhood (size and overlap with predefined residential area) according to the characteristics of the sampling administrative neighbourhoods (residential density and socioeconomic status) within the five study regions and (ii) to determine which individual or/and environmental factors are associated with variations in size of self-defined neighbourhoods. Self-defined neighbourhood size varies according to both individual factors (age, educational level, length of residence and attachment to neighbourhood) and contextual factors. These findings have consequences for how residential neighbourhoods are defined and operationalized and can inform how self-defined neighbourhoods may be used in research on associations between contextual characteristics and health outcomes such as obesity.
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Affiliation(s)
- H Charreire
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.,Paris Est University, Lab-Urba, UPEC, Urban School of Paris, Créteil, France
| | - T Feuillet
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - C Roda
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary
| | - M Le Vaillant
- CERMES3, UMR 8211-U988, CNRS, INSERM, Université Paris Descartes, EHESS, Villejuif, France
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
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