Literature DB >> 15094409

An ecological study of the locations of schools and child pedestrian injury collisions.

Elizabeth A LaScala1, Paul J Gruenewald, Fred W Johnson.   

Abstract

Geographic studies of the incidence and prevalence of child pedestrian injury collisions in different community environments have been primarily descriptive and idiosyncratic, reflecting one or another likely determinant of the places where these injuries occur. The current study maintains that multiple determinants of child pedestrian injury collisions must be considered in evaluating the unique contributions of any one community feature to injury rates. These features include local characteristics of populations, such as rates of unemployment, and places, such as locations of schools. Schools are one stable geographic feature associated with regular, often concentrated periods of complex and congested traffic patterns. The objective of the present study was to examine annual rates of child pedestrian injury in four California communities with a focus on the unique contribution of schools to injury risk. We predicted that annual numbers of child pedestrian injury collisions (both in-school and summer combined) would be greater in communities with higher youth population densities, more unemployment, fewer high-income households, and higher traffic flow. It was hypothesized that youth population density and its interaction with the number of schools in a given area would be related to greater rates of child pedestrian collisions during in-school months. An ecological approach was taken that divided the four communities into 102 geographic units with an average of 6321 people residing in each unit. Archival data on traffic flow, number of child pedestrian injury collisions and locations of schools were obtained from state agencies. Individual-level data were obtained from a general population survey conducted in the communities. The results showed that annual numbers of injuries were greater in areas with higher youth population densities, more unemployment, fewer high-income households, and greater traffic flow. Annual numbers of injuries during in-school months were greater in areas containing middle schools and greater population densities of youth.

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Year:  2004        PMID: 15094409     DOI: 10.1016/S0001-4575(03)00063-0

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  17 in total

1.  Neighborhood social inequalities in road traffic injuries: the influence of traffic volume and road design.

Authors:  Patrick Morency; Lise Gauvin; Céline Plante; Michel Fournier; Catherine Morency
Journal:  Am J Public Health       Date:  2012-04-19       Impact factor: 9.308

2.  Drinking, driving, and crashing: a traffic-flow model of alcohol-related motor vehicle accidents.

Authors:  Paul J Gruenewald; Fred W Johnson
Journal:  J Stud Alcohol Drugs       Date:  2010-03       Impact factor: 2.582

3.  Environmental characteristics associated with pedestrian-motor vehicle collisions in Denver, Colorado.

Authors:  Anne K Sebert Kuhlmann; John Brett; Deborah Thomas; Stephan R Sain
Journal:  Am J Public Health       Date:  2009-07-16       Impact factor: 9.308

4.  Impact of a pilot walking school bus intervention on children's pedestrian safety behaviors: a pilot study.

Authors:  Jason A Mendoza; Kathy Watson; Tzu-An Chen; Tom Baranowski; Theresa A Nicklas; Doris K Uscanga; Marcus J Hanfling
Journal:  Health Place       Date:  2012-01       Impact factor: 4.078

5.  An Analysis of Distance from Collision Site to Pedestrian Residence in Pedestrian versus Automobile Collisions Presenting to a Level 1 Trauma Center.

Authors:  Craig L Anderson; Kathlynn M Dominguez; Teresa V Hoang; Armaan Ahmed Rowther; M Christy Carroll; Shahram Lotfipour; Wirachin Hoonpongsimanont; Bharath Chakravarthy
Journal:  Ann Adv Automot Med       Date:  2012

Review 6.  Encouraging walking for transport and physical activity in children and adolescents: how important is the built environment?

Authors:  Billie Giles-Corti; Sally F Kelty; Stephen R Zubrick; Karen P Villanueva
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

Review 7.  GIS and injury prevention and control: history, challenges, and opportunities.

Authors:  Nathaniel Bell; Nadine Schuurman
Journal:  Int J Environ Res Public Health       Date:  2010-03-11       Impact factor: 3.390

8.  School-related injuries: a retrospective 5-year evaluation.

Authors:  R Kraus; U Horas; G Szalay; V Alt; M Kaiser; R Schnettler
Journal:  Eur J Trauma Emerg Surg       Date:  2010-12-03       Impact factor: 3.693

9.  Pedestrian injury and the built environment: an environmental scan of hotspots.

Authors:  Nadine Schuurman; Jonathan Cinnamon; Valorie A Crooks; S Morad Hameed
Journal:  BMC Public Health       Date:  2009-07-14       Impact factor: 3.295

10.  Geocoding police collision report data from California: a comprehensive approach.

Authors:  John M Bigham; Thomas M Rice; Swati Pande; Junhak Lee; Shin Hyoung Park; Nicolas Gutierrez; David R Ragland
Journal:  Int J Health Geogr       Date:  2009-12-29       Impact factor: 3.918

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