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Neighborhoods, daily activities, and measuring health risks experienced in urban environments

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  • Basta, Luke A.
  • Richmond, Therese S.
  • Wiebe, Douglas J.

Abstract

Studies of place and health often classify a subject's exposure status according to that which is present in their neighborhood of residence. One's neighborhood is often proxied by designating it to be an administratively defined unit such as census tract, to make analysis feasible. Although it is understood that residential space and actual lived space may not correspond and therefore exposure misclassification may result, few studies have the opportunity to investigate the implications of this issue concretely. A population-based case-control study that is currently underway provides one such opportunity. Adolescent victims of assault in Philadelphia, Pennsylvania, USA, and a control sample of adolescents drawn randomly from the community are being enrolled to study how alcohol consumption and time spent nearby alcohol outlets - individual-level and environmental-level risk factors for violence, respectively - over the course of daily activities relate to the likelihood of being assaulted. Data from a rapport-building exercise consist of hand-drawn sketches that subjects drew on street maps when asked to indicate the area considered their neighborhood. The main data consist of self-reported, detailed paths of the routes adolescents traveled from one location to the next over the course of one full day. Having noticed interesting patterns as the data collection phase proceeds, we present here an analysis conducted with the data of 55 control subjects between 15 and 19 years old. We found that hand-drawn neighborhoods and activity paths did not correspond to census tract boundaries, and time subjects spent in close proximity to alcohol outlets during their daily activities was not correlated with the prevalence of alcohol outlets in the census tract of their residence. This served as a useful example demonstrating how classifying subjects as exposed based solely on the prevalence of the exposure in the geographic area of their residence may misrepresent the exposure that is etiologically meaningful.

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  • Basta, Luke A. & Richmond, Therese S. & Wiebe, Douglas J., 2010. "Neighborhoods, daily activities, and measuring health risks experienced in urban environments," Social Science & Medicine, Elsevier, vol. 71(11), pages 1943-1950, December.
  • Handle: RePEc:eee:socmed:v:71:y:2010:i:11:p:1943-1950
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    References listed on IDEAS

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    2. Brusilovskiy, Eugene & Salzer, Mark S., 2012. "A study of environmental influences on the well-being of individuals with psychiatric disabilities in Philadelphia, PA," Social Science & Medicine, Elsevier, vol. 74(10), pages 1591-1601.
    3. Vallée, Julie & Cadot, Emmanuelle & Roustit, Christelle & Parizot, Isabelle & Chauvin, Pierre, 2011. "The role of daily mobility in mental health inequalities: The interactive influence of activity space and neighbourhood of residence on depression," Social Science & Medicine, Elsevier, vol. 73(8), pages 1133-1144.
    4. Naomi F. Sugie & Michael C. Lens, 2017. "Daytime Locations in Spatial Mismatch: Job Accessibility and Employment at Reentry From Prison," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 775-800, April.
    5. Eric Piza & Shun Feng & Leslie Kennedy & Joel Caplan, 2017. "Place-based correlates of Motor Vehicle Theft and Recovery: Measuring spatial influence across neighbourhood context," Urban Studies, Urban Studies Journal Limited, vol. 54(13), pages 2998-3021, October.
    6. Nicolo P Pinchak & Christopher R Browning & Catherine A Calder & Bethany Boettner, 2021. "Activity locations, residential segregation and the significance of residential neighbourhood boundary perceptions," Urban Studies, Urban Studies Journal Limited, vol. 58(13), pages 2758-2781, October.
    7. Sharp, Gregory & Denney, Justin T. & Kimbro, Rachel T., 2015. "Multiple contexts of exposure: Activity spaces, residential neighborhoods, and self-rated health," Social Science & Medicine, Elsevier, vol. 146(C), pages 204-213.
    8. Shareck, Martine & Kestens, Yan & Frohlich, Katherine L., 2014. "Moving beyond the residential neighborhood to explore social inequalities in exposure to area-level disadvantage: Results from the Interdisciplinary Study on Inequalities in Smoking," Social Science & Medicine, Elsevier, vol. 108(C), pages 106-114.
    9. Sarah E Wiehe & Mei-Po Kwan & Jeff Wilson & J Dennis Fortenberry, 2013. "Adolescent Health-Risk Behavior and Community Disorder," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-7, November.
    10. Matt Vogel & Merle Zwiers, 2018. "The Consequences of Spatial Inequality for Adolescent Residential Mobility," Social Sciences, MDPI, vol. 7(9), pages 1-15, September.
    11. Vaughan, Adam S. & Kramer, Michael R. & Cooper, Hannah L.F. & Rosenberg, Eli S. & Sullivan, Patrick S., 2017. "Activity spaces of men who have sex with men: An initial exploration of geographic variation in locations of routine, potential sexual risk, and prevention behaviors," Social Science & Medicine, Elsevier, vol. 175(C), pages 1-10.
    12. John Palmer & Thomas Espenshade & Frederic Bartumeus & Chang Chung & Necati Ozgencil & Kathleen Li, 2013. "New Approaches to Human Mobility: Using Mobile Phones for Demographic Research," Demography, Springer;Population Association of America (PAA), vol. 50(3), pages 1105-1128, June.
    13. Christopher R. Browning & Catherine A. Calder & Jodi L. Ford & Bethany Boettner & Anna L. Smith & Dana Haynie, 2017. "Understanding Racial Differences in Exposure to Violent Areas," The ANNALS of the American Academy of Political and Social Science, , vol. 669(1), pages 41-62, January.

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