Adolescent Health-Risk Behavior and Community Disorder

Wiehe, Sarah E.; Kwan, Mei‐Po; Wilson, J. Gaines; Fortenberry, J.Dennis

doi:10.1201/b18222-3

Cited by 5 publications

(6 citation statements)

References 40 publications

(35 reference statements)

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“…Although buffer sizes are arbitrary, we followed Panter et al (2010) and Wiehe et al (2013) in using a 100 m buffer width. This buffer size also represents building blocks in the study areas satisfactorily (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Although the models are grounded on a sufficiently large number of trips to achieve reliable results (n¼ 623), the number of children tracked is only average. However, our sample was nearly twice as large as that of Wiehe et al (2013). The research design only considers children who lived and attend a school within the same neighborhood.…”

Section: Strength and Limitationsmentioning

confidence: 98%

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Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

et al. 2016

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Section: Methodsmentioning

confidence: 99%

Section: Strength and Limitationsmentioning

confidence: 98%

Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

et al. 2016

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“…Global positioning system (GPS) devices have been used to study health behaviors primarily focused on environmental exposure and physical activity/dietary behaviors among adults [5–7]. Some studies have used GPS to study substance issues [8,9] among adults, examining craving rather than substance use [9], and some have examined girls’ exposure to high-crime contexts [8]. Our study applies these techniques to adolescents’ exposure to alcohol outlets and low-SES contexts, and how that relates to substance use.…”

mentioning

confidence: 99%

Tracking Adolescents With Global Positioning System-Enabled Cell Phones to Study Contextual Exposures and Alcohol and Marijuana Use: A Pilot Study

Byrnes

Miller

Wiebe

et al. 2015

Journal of Adolescent Health

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Purpose Measuring activity spaces, places adolescents spend time, provides information about relations between contextual exposures and risk behaviors. We studied whether contextual exposures in adolescents’ activity spaces differ from contextual risks present in residential contexts and examined relationships between contextual exposures in activity spaces and alcohol/marijuana use. Methods Adolescents (N=18) aged 16–17 carried GPS-enabled smartphones for one week, with locations tracked. Activity spaces were created by connecting GPS points sequentially and adding buffers. Contextual exposure data (e.g., alcohol outlets) were connected to routes. Adolescents completed texts regarding behaviors. Results Adolescent activity spaces intersected 24.3 census tracts and contained 9 times more alcohol outlets than residential census tracts. Outlet exposure in activity spaces was related to drinking. Low SES exposure was related to marijuana use. Conclusions Findings suggest substantial differences between activity spaces and residential contexts, and suggest that activity spaces are relevant for adolescent risk behaviors.

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“…The majority of current research, which takes an ecological perspective in the examination of substance use, has focused on neighborhood environments and the relationships between neighborhood factors and substance use (Wiehe, Kwan, Wilson, & Fortenberry, 2013), whereas, to date, minimal research has been focused on (a) the role that activity spaces might have on substance use, and (b) how substance use within activity spaces might differ, based on an adolescent’s age, gender, and race.…”

Section: Eco-developmental Modelmentioning

confidence: 99%

An Examination of the Patterns of Substance Use in Activity Spaces and Their Relationship to Problematic Use

2019

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During adolescence, adolescents are given more freedom to independently interact with a variety of social contexts. The eco-developmental model suggests that the activity spaces where adolescents spend their time affect substance-use behaviors beyond peer influences, and that the relationships may differ based on the adolescent’s demographic characteristics. This study examines adolescent patterns of reported substance use across activity spaces to determine whether the patterns of use are related to problematic substance use, and whether the relationships differ based on the participants’ race. Cross-sectional survey data from the study, Drug Use Among Young American Indians: Epidemiology and Prediction, 1993-2006 and 2009-2013, were used. Five patterns of adolescent alcohol use and six patterns of adolescent drug use in activity spaces were identified. There were significant differences in the relationship between class membership and problematic substance use by race, suggesting that contexts may be interacting with an adolescent’s race to influence use.

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Adolescent Health-Risk Behavior and Community Disorder

Abstract: Background: Various forms of community disorder are associated with health outcomes but little is known about how dynamic context where an adolescent spends time relates to her health-related behaviors.

Cited by 5 publications

References 40 publications

Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

Tracking Adolescents With Global Positioning System-Enabled Cell Phones to Study Contextual Exposures and Alcohol and Marijuana Use: A Pilot Study

An Examination of the Patterns of Substance Use in Activity Spaces and Their Relationship to Problematic Use

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