Toward environments and policies that promote injury-free active living—it wouldn't hurt

Objective Pedestrians comprise 78% of the road fatalities in Peru. The objective of this study was to explore the relationship between the walking environment and pedestrian-motor vehicle collisions. Methods A matched case-control study was used to detect the odds of a pedestrian-motor vehicle collision at a pedestrian crossing location. Data were collected within eleven sampled police commissaries in Lima, Peru. Results In a multivariable model adjusting for vehicle and pedestrian flow, pedestrian collisions were less likely in the presence of a curb and sidewalk on both roadway sides (Odds Ratio [OR] 0.19, 95% Confidence Interval [CI] 0.11–0.33) or a pedestrian barricade (OR 0.11, 95% CI 0.01–0.81). There was a greater risk of collisions for each street vendor present (OR 2.82, 95% CI 1.59–5.00) or if any parked vehicles (OR 3.67, 95% CI 1.18–11.4) were present. Conclusions Improving or addressing these potentially modifiable features of the walking environment could improve pedestrian safety in Lima and in similar urban settings in low and middle-income countries.

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“…2004, Ewing and Dumbaugh 2009, Sebert Kuhlmann et al . 2009, Pollack et al . 2012, Zegeer and Bushell 2012).…”

Section: Introductionmentioning

confidence: 99%

The Walking Environment in Lima, Peru and Pedestrian–Motor Vehicle Collisions: An Exploratory Analysis

Quistberg

Miranda

Boyle

et al. 2014

Traffic Injury Prevention

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“…The people who exercise regularly might receive better overall long term health benefits [19, 22, 24]. Several researchers also claim that the warm-up and stretching movements is highly important prior to the actual exercise in order to avoid sports-related injuries [25–28]. People with sports-related injuries will look for rehabilitative treatments, and may lead to an increased number of outpatient visits.…”

Section: Discussionmentioning

confidence: 99%

Do healthier lifestyles lead to less utilization of healthcare resources?

Lee

Chang

2017

BMC Health Serv Res

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BackgroundGovernments are urged to determine methods to control the use of medical resources and curb the rise of healthcare costs. The question is, do health behaviors have an impact on the use of medical resources? This study aims to identify and understand the difference in the number of outpatient visits and health examinations based on various health behaviors and to determine whether patients seek medical care for illness from the same physicians.MethodsThis study used the dataset derived from the Department of Budget, Accounting and Statistics of Kaohsiung, Taiwan in 2005. Persons older than 15 years were surveyed using an on-site questionnaire. A total of 2911 persons were enrolled in this study. Independent t-tests, chi-square tests, one-way ANOVA, multiple linear regression and binominal logistic regression were used in the data analysis.ResultsThe regression model for the frequency of doctor visits, health examinations, and whether the same physician is sought for medical care has demonstrated significant correlations with gender, age and education-level variables. Four health behaviors (i.e., exercise habits, dietary habits, regular blood pressure measurement, drinking habits) exhibited a significant correlation with healthcare utilization (P <0.05).ConclusionsHealthy lifestyles lead to an increase in the utilization of preventive health services. However, there is not much significantly reducing the number of outpatient visits in people with health behaviors. Specifically, people with regular exercise habits and who take their blood pressure measurement regularly have an increased number of outpatient visits. It is suggested that more available and accessible health consultation services be provided to inculcate in the general public the importance of maintaining a healthy lifestyle.

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“…[8][9][10][11] Though AST is generally viewed as a positive behavior, it can also expose children to risks such as violence, substance promotion/abuse, air pollution, and injury. [12][13][14][15][16][17][18][19][20] One way to more holistically study the benefits-risks relationship in AST is to think outside typical data surveillance silos and by integrating data collection and analysis that links behaviors in the environments in which they occur. With its ability to overlay different spatial layers from different sources (e.g., hospital, police) and to analyze the relationships within, between, and among these layers, GIS can be an effective tool for such multi-sector data integration.…”

Section: Literature Reviewmentioning

confidence: 99%

Breaking Out of Surveillance Silos: Integrative Geospatial Data Collection for Child Injury Risk and Active School Transport

Schuch

Curtis

et al. 2015

J Urban Health

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The preponderance of active school transport (AST) and child injury research has occurred independently, yet they are inherently related. This is particularly true in urban areas where the environmental context of AST may pose risks to safety. However, it can be difficult to make these connections due to the often segregated nature in which these veins of research operate. Spatial video presents a geospatial approach for simultaneous data collection related to both issues. This article reports on a multi-sector pilot project among researchers, a children's hospital, and a police department, using spatial video to map child AST behaviors; a geographic information system (GIS) is used to analyze these data in the environmental context of child pedestrian injury and community violence.

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Toward environments and policies that promote injury-free active living—it wouldn't hurt

Cited by 26 publications

References 58 publications

The Walking Environment in Lima, Peru and Pedestrian–Motor Vehicle Collisions: An Exploratory Analysis

The Walking Environment in Lima, Peru and Pedestrian–Motor Vehicle Collisions: An Exploratory Analysis

Do healthier lifestyles lead to less utilization of healthcare resources?

Breaking Out of Surveillance Silos: Integrative Geospatial Data Collection for Child Injury Risk and Active School Transport

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