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. 2010 Dec;71(11):1943-50.
doi: 10.1016/j.socscimed.2010.09.008. Epub 2010 Sep 29.

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

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

Luke A Basta et al. Soc Sci Med. 2010 Dec.

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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Figures

Figure 1
Figure 1. Ten subjects’ hand-drawn depictions of the land area they consider to be their neighborhoods, shown in conjunction with the location of their home
Area(s) refers to approximate land area of what each subject hand-drew on a map to represent their “neighborhood.” X = Location of subject’s residence.
Figure 2
Figure 2. Paths of 10 subjects’ 24-hour daily activities, shown in conjunction with their hand-drawn neighborhood depiction and home location
Area(s) refers to approximate land area of what each subject hand-drew on a map to represent their “neighborhood.” GLHD = Greatest linear distance from home. Tot dis = Route total distance X = Location of subject’s residence.
Figure 3
Figure 3. Scatterplots comparing alcohol outlet prevalence in subjects’ census tracts of residence and alcohol outlets contacted during one-day activities

References

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